Next Article in Journal
A Weather-Pattern-Based Evaluation of the Performance of CMIP5 Models over Mexico
Previous Article in Journal
Perception of Environmental Spillovers Across Scale in Climate Change Adaptation Planning: The Case of Small-Scale Farmers’ Irrigation Strategies, Kenya
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:

Staying Cool in A Warming Climate: Temperature, Electricity and Air Conditioning in Saudi Arabia

King Abdullah Petroleum Studies and Research Centre (KAPSARC), P.O. Box 88550, Riyadh 11672, Saudi Arabia
Ali I. Al-Naimi Petroleum Engineering Research Center, King Abdullah University of Science and Technology (KAUST) 4700, Thuwal 23955-6900, Saudi Arabia
Author to whom correspondence should be addressed.
Climate 2020, 8(1), 4;
Submission received: 26 November 2019 / Revised: 26 December 2019 / Accepted: 28 December 2019 / Published: 3 January 2020


As global temperatures warm and populations and incomes rise, the demand for cooling will soar, creating a positive feedback loop between global warming and electricity-related carbon dioxide (CO2) emissions. This study explores the relationship between temperature, electricity, air conditioning (AC) and CO2 emissions, and the sustainability of cooling in the Kingdom of Saudi Arabia. With the highest share of AC in household electricity consumption in the world and its already very hot summers warming by 3 °C in many areas over the last 40 years, Saudi Arabia provides an important case study of how the cooling challenge can be managed. Data from the European Centre for Medium-Range Weather Forecasts (ECMWF ERA5) is used to illustrate local warming trends (1979–2018) and show the relationship between temperature and power generation within a typical year using hourly data (2011–2015). Using annual data (2010–2018), we then show that since 2016 the rapid growth in the Kingdom’s electricity demand for AC and its associated CO2 emissions have plateaued. This suggests energy efficiency measures, higher electricity prices and a shift from the use of oil towards gas in the power sector are having a positive effect on energy sustainability. We identify key policies and technologies that will be important for the sustainable use of cooling in Saudi Arabia and beyond.

1. Introduction

According to the International Energy Agency (IEA), over the next three decades, the use of air conditioners (ACs) is set to soar, becoming one of the top drivers of global electricity demand [1]. Global energy demand from ACs is expected to triple from around 2000 terrawatt-hours (TWh) today to 6200 TWh by 2050, adding the equivalent electrical capacity of the United States (U.S.), European Union (EU) and Japan combined. Between 2015 and 2018 alone, AC consumption in the world’s most 20 prosperous nations increased by around 400 TWh [2]. The IEA has identified this growing demand for air conditioners as one of the most critical blind spots in today’s energy debate [1].
The U.S. National Oceanic and Atmospheric Administration (NOAA) recently reported that Earth’s average temperature in July 2019 was about 1 degree Celsius (°C) above its twentieth-century average, making it the warmest month on record. The previous five years were also the five warmest on record. Every 1 °C rise in the Earth’s average temperature is estimated to increase AC electrical consumption by around 15% [2]. In developing countries, this rate of growth is expected to be greater, as higher incomes allow more consumers to purchase AC units.
The focus of the climate policy community is often on average global temperature changes, such as the 1.5 °C or 2 °C target, which can lead to an underappreciation of local warming trends, especially in summer. For example, The European Centre for Medium-Range Weather Forecasts’ (ECMWF’s) dataset shows that areas in the Middle East and North Africa (MENA) region have already experienced average warming greater than 2 °C for July. It also shows that, in the last 10 years, regions in Australia, Africa, Europe and the Americas have experienced average July temperatures of between 1 °C to 2 °C higher than those from 1880–1900 [3].
In the Middle East and many other regions, average summer temperatures are also rising faster than yearly averages, which may lead to an underappreciation of the maximum temperatures that may be experienced in hotter months. Local trends in temperature rises in the hottest months of the year are likely to be more meaningful when planning for weather extremes locally than global or even local yearly averages. This highlights the need for research that explores warming trends at the city or regional level and the implications this has for AC as an adaptation measure to maximum summer temperatures.
Three main factors drive the use of AC and its impact on electricity consumption: the area and number of rooms in a dwelling to be cooled, the thermostat or temperature setting and the number of hours the AC is used. The amount of cooling demanded is thus a function of temperature, AC unit efficiency, and other factors such as size and type of dwelling and subjective perceptions of comfort.
Families in Saudi Arabia tend to live in relatively large villas with many AC units. Studies suggest that around 73% of people in the Kingdom use their air conditioners between 10 and 24 h a day throughout the year, with most people leaving them on non-stop from May through to September to counter the extremely hot summer conditions [4,5].
This paper provides a case study of how Saudi Arabia is managing the twin demands of adaptation to a hot and warming climate while grappling with the increasing demand for electricity from AC units and their associated carbon dioxide (CO2) emissions. It also seeks to provide insight on how Saudi Arabia can improve the sustainability of its AC use.
The paper uses the latest ECMWF ERA5 high-resolution dataset [6] to illustrate the climatic warming trend for Saudi Arabia over a 40 year period. The seasonal relationship between temperature and electrical generation within a typical year (2015) is then assessed using hourly electricity generation data provided by the Saudi Electricity Company (SEC). Next, annual data on the contribution of cooling to electricity demand is used to explore trends in electrical consumption. The electricity CO2 profile is then analyzed using fuel input data. This provides the basis for an assessment of the policies that have been introduced in the last few years to improve sustainability and control the historically fast growth of CO2 emissions from the power sector and AC demand.
This paper is set out in three parts. The first covers the literature and basic characteristics of temperature, AC and the sustainability of electricity demand in Saudi Arabia. This includes a review of the key measures the Kingdom has recently taken to control its historically fast-growing electricity demand, focusing on AC energy efficiency, electricity price increases and fuel mix decarbonization. To our knowledge, this study provides one of the first assessments of electricity and AC trends since this reform program significantly gathered pace in 2016.
The second section is an empirical analysis covering (1) climatic warming trends over the last 40 years; (2) the relationship between temperature and electricity generation within a typical year; (3) trends in the contribution of AC to electricity demand; and (4) shifts in the fuel mix of electricity demand and associated CO2 emissions. Our results suggest that AC energy efficiency, higher consumer electricity prices and fuel mix changes have contributed to a stabilization of the historically rapid growth in electricity demand and CO2 emissions. Indeed, this stabilization of emissions in the power sector helped contribute to the first major fall in total CO2 emissions in the Kingdom’s history in 2018 (Figure A1 and Figure A2 in Appendix A).
In the final section, we discuss our results in light of previous studies and summarize the key areas to improve the sustainability of cooling identified in the paper.

2. Review of Past Work on Temperature, Air Conditioning and Sustainability in Saudi Arabia

2.1. Temperature Characteristics of Saudi Arabia and the Need for Cooling

Hasanean and Almazroui [7] describe the scientific knowledge relating to the climate and climate change in Saudi Arabia as being scattered, incomplete and limited, highlighting the need for research in this area. Literature on the Arabian peninsula describes a wide spectrum of conditions, including the snows of the Asir Province, the intense humidity of the Arabian Gulf, the monsoon rains of the Qara mountains in Dhofar [8,9,10], and the scorching heat of the Rub Al Khali, the largest continuous expanse of desert in the world. Irregular, heavy rainstorms happen only a few days a year, with 80% of precipitation occurring during the wet season (November to May) and focused only in some areas.
For building and energy modelling purposes, several studies have classified regions in the Kingdom according to air temperature, relative humidity, wind speed and solar radiation. Between three to five distinct climatic zones have been identified, ranging from hot dry desert conditions to hot humid maritime areas and cooler mountain zones in the south [11,12,13,14].
While already very hot, studies suggest that the climate in Saudi Arabia is getting hotter and extreme temperature events are becoming more frequent [15]. For example, Almazroui et al. [16] reported an increase in temperature of 0.65 °C per decade.
Alghamdi and Harrington [17] point out that 1338 heatwave events were recorded over a recent 35-year period. They define heatwave events as two consecutive days with daily maximum temperatures equal to or higher than the 90th percentile of the monthly maximum of the decade in question, and with a daily minimum equal or higher than the 85th percentile of the monthly minimum for the decade in question. Almazouri [18] found that the Hijaz region on the coast of the Red Sea would be affected by an increase in extreme rainfall events.
Tarawneh and Chowdhury [19] assess temperature, rainfall and climate change trends using linear regression. They show the mean summer temperatures in most cities to be around 2.5 times higher in summer than in winter. Some areas in the southwest, where the seasonal difference is around 5 °C, are an exception. Using 30 years of data, they identify a warming trend for Riyadh for both summer and winter of 0.0583 °C per year and 0.0427 °C per year, respectively.
Lelieveld et al. [20] suggest that by the end of the century the magnitude of warming in the Middle East and North Africa (MENA) region during the summer is expected to be about twice as much as during the winter. They also estimate that the Kingdom could expect an average temperature increase above 6 °C for the summer months by 2081–2100, relative to averages from 1986–2005.
Saudi labour law already prohibits outdoor work between 12:00 a.m. and 15:00 p.m. from June to mid-September [21]. Temperatures may soon rise to the extent that it is unsafe to spend a significant amount of time outside an air-conditioned building during most summer days. Higher temperatures also are likely to lead to increases in water demand, with one study conducted for Phoenix, Arizona suggesting every 1 °C increase in temperature is associated with an increase in water demand of 6.7% [22].
Studies have also investigated the relationship between temperature and energy consumption in Saudi Arabia. Building on the work of Al-Hadhrami [23] and Indraganti and Boussaa [24], Atalla et al. [25] calculated a degree day dataset and suggested that around half of the Kingdom’s electricity consumption can be attributed to cooling demand. These studies used a degree-day methodology where the number of cooling (or heating) degree days refers to the number of degrees that a day’s average temperature is above (or below) a reference temperature (e.g., 18 °C). A general finding of these studies is that the energy consumed by buildings for heating and cooling follows a U-curve (Figure 1).
Howarth et al. [26] conducted an international benchmarking of sectoral energy demand for Saudi Arabia based on per capita energy consumption (1980–2015). While per capita buildings electricity consumption (the dominant fuel source for air conditioning) is relatively high in Saudi Arabia, overall per capita energy consumption from buildings is roughly in line with other countries such as the U.S. and Canada once other fuels such as gas (used for heating) are factored in. They also found that per capita energy demand from buildings in Saudi Arabia rose at a faster rate than OECD countries during the period under consideration, where it was falling or stable.
Research conducted by the IEA [1] suggests that in countries with over 3000 cooling degree days (CDD), household ownership of air conditioners rises to virtually 100% once the average per capita GDP of around $26,000 USD in 2015 purchasing power parity (PPP) terms is achieved. In countries such as Saudi Arabia, Brazil, Egypt, India, Thailand, Indonesia and Venezuela, cooling is almost essential for people to live and work in comfort. All major cities in Saudi Arabia have CDDs above 3000. According to the World Bank, in 2017, Saudi Arabia’s per capita gross domestic product (GDP) was US $54,000 in 2015 PPP terms. As such, it is perhaps unsurprising that the use of air conditioners in Saudi Arabia is among the highest in the world.
Enerdata [2] describes Saudi Arabia as having the world’s highest share of air conditioning in household electricity, at 70%. This compares with 57% in the United Arab Emirates, 25% in the U.S., 20% in Malaysia, 18% in India, 13% in Mexico and 12% in Egypt. This suggests that when compared with other countries with a similar climate in the same region, Saudi Arabia is at the extreme end of AC use and raises serious questions regarding sustainability.

2.2. Sustainability and Electricity Demand Growth

A well-established electricity sustainability challenge for Saudi Arabia has been identified on two main levels. Rapidly increasing AC demand has led to increasing amounts of oil being consumed domestically for power generation. This has been seen as a threat to oil export revenue and government spending for public services [30,31]. While not usually seen as the primary driver of policy, the latter relates to rising CO2 emissions associated with fast electricity demand growth [32,33,34].
In their report “Burning Oil to Keep Cool” Lahn and Stevens [35] suggest that, with stable oil production and rising domestic consumption, Saudi Arabia could switch to being an oil importer by 2040 and face “intractable” fiscal deficits by 2022. In a similar vein, Abubakar and Aina [36] warned of oil demand growth reducing Saudi Arabia’s oil export capacity, possibly resulting in a shortage of funds to provide essential public services.
Fattouh [37] used monthly data from the Joint Organisations Data Initiative (JODI) to highlight the summer swings in domestic oil demand due to AC use and the potential for this to influence global oil prices. The author describes how between 2003 and 2012 electricity sold increased by 78%, from 128,629 million kilowatt-hours (kWh) to 240,288 million kWh. During the same period, the peak load increased by 117% from 23.9 gigawatts (GW) to 52 GW. In 2012, the domestic consumption of oil rose from 1.682 million barrels per day in January to 2.619 million barrels per day in July due to the summer demand for AC.
Fattouh goes on to describe the strategic decision to use oil or gas to fuel electricity and how a royal decree in 2006 stipulated that power plant capacity expansion should prioritize the use of crude oil. This saw the share of natural gas in the power sector fall from 52% in 2007 to around 39% in 2012. Other significant fuels used for power generation in 2012 were crude oil (35%), diesel (20%) and heavy fuel oil (HFO) (6%).
Drawing on official Electricity & Cogeneration Regulatory Authority (ECRA) statistics, Farnoosh et al. [38] highlight that electricity consumption in Saudi Arabia grew at 8% in 2013, driven by population growth of around 2.3% per annum and the highly subsidized cost base of utilities. Algarni and Nutter [39] note how building new homes also increased the floor space requiring cooling and, hence, energy consumption.
Exacerbating these energy consumption trends is the Kingdom’s old and poorly insulated building stock, with studies suggesting that around 70% of buildings are not insulated. Furthermore, there is a huge demand for air conditioning because of heat transmission through walls and roofs [5,40].

2.3. Energy Efficiency and Air Conditioning

Krarti et al. [26] suggest that the biggest demand for electricity is from buildings, with 76% of total power demand; industrial use accounts for 19%. Residential users make up around 50% of total electricity demand, followed by commercial users (16%) and governmental offices (11%). The authors suggest that AC accounts for about 60% to 70% of total household electricity consumption, depending on the city. This contrasts with the study conducted by Proctor Engineering and AMAD [41] which suggested that AC accounts for around 46% of electricity consumption on average across the country. One possible reason for this difference is that [41] refers to residential AC consumption as a proportion of total electricity consumption, which includes commercial and industrial uses. Such differences are common in the literature and most likely relate to whether the proportion of AC is based on primary electricity generation or final electricity consumption and whether it incorporates commercial as well as residential AC use.
Krarti et al. [26] suggest that combining more efficient air conditioners with improvements to insulation and air leakage could offer consumers energy savings of up to 50%. However, the authors highlight that householders are unlikely to make the necessary investments without stronger energy efficiency regulations and significant increases in electricity prices.
The Saudi Energy Efficiency Center (SEEC) was established in 2010 and launched the Saudi Energy Efficiency Program (SEEP) in 2012. As an important part of its mandate, SEEC has strengthened building code regulations for high- and low-rise buildings, introducing 14 insulation standards and standards for small and large AC units. Its enforcement of these standards means no new building can now be connected to the grid unless it complies with the building codes [42].
SEEC has also been steadily increasing the minimum energy efficiency rating (EER) standards of all major AC types (Figure 2). Since 2007, the minimum EER for split type AC units has risen from 7.5 to 11.8, and the EER for window type units from 7.5 to 9.8. The current EER standard for commercial chillers is 9.7, and variable refrigerant flow (VRF) is 11.2 [42,43]. The government has also instituted a price discount scheme for the purchase of highly efficient split system AC units with EERs of 13.8 or higher. This program offers a 900 Saudi riyal (SAR) (US $240) rebate for each unit sold, up to a maximum of six units per household [41].
The IEA [1] reviewed EERs across selected countries and found large differences between the best available units on the market and the EER for the average unit bought, including in Saudi Arabia. For example, the minimum standard for window units is the second-lowest ‘F’ rating on a scale from A to G.
The Japan Refrigeration and AC Industry Association (JRACIA) provides an overview of world AC demand by region, including for Saudi Arabia (Figure 3). The relatively inefficient but cheaper upfront cost window units comprised 63% of the residential market in 2018, with 772,000 units sold compared with 455,000 for the more efficient split system units. The number of residential units sold each year has also been declining, with unit sales falling by 28% for window units and 22% for split system units in 2018.
By way of comparison, the JRACIA statistics [44] show that window AC sales constitute less than 1% of sales in China and Japan, 11% in the rest of Asia, 1% in Europe, 90% in the U.S., 41% across the Middle East and 5% in Australia.
Proctor Engineering and AMAD [41] made several recommendations in their review of the potential for higher EER AC units. First, they recommended differential standards for AC units in dry areas such as Riyadh, where little dehumidification is required, and evaporative cooling is more efficient than standard vapour compression units. Reducing the number of relatively inefficient and cheap window type AC units sold was another priority—a challenge, given a standard window unit is around half the cost of a split unit and is less complicated to install. Other recommendations included (i) providing incentives to local manufacturers to switch from producing window units and upgrade the efficiency of units produced; (ii) improving the enforcement of SASO minimum performance standards; (iii) equipping units with sensors which switch the unit off if no-one is in a room or dwelling; and (iv) using more field tests and ongoing monitoring studies to assess the actual performance of units in specific local temperature and humidity conditions.
Another issue that has been identified is the uptake of inverter (variable speed drive) technology [43]. While more expensive than simple on-off type motor regulation systems, inverters (used in split systems) offer the possibility of the AC unit running at a lower intensity to maintain a level of thermal comfort and could offer energy savings of up to 30%. Adopting a seasonal energy efficiency rating (SEER) rather than a standard rating (EER) is seen as one way to promote inverter units as estimated energy savings are higher for inverter units on energy performance labels under the SEER.
The potential for solar photovoltaic (PV) and solar thermal air conditioning has also received attention [45,46,47,48,49,50]. While the practical application is rare, it is an important area for research and deployment. This is particularly relevant in the context of the Kingdom’s plans to increase the share of renewable energy in its electricity grid.
The King Abdulaziz City for Science and Technology (KACST) has a major focus on efficient air conditioning and sustainability [51]. In 2019 the King Abdullah University of Science and Technology (KAUST) launched a cooling initiative focusing on solar energy utilization as well as developing and testing highly efficient non-vapour compression air conditioners. King Fahd University of Petroleum and Minerals’ (KFUPM) Center of Excellence in Energy Efficiency also has a strong focus on cooling.

2.4. Energy Price Reform Policies

Fattouh [37] provides a snapshot of the large energy subsidies which were in place in 2012, represented by the gap between the price paid by local power producers and the international prices paid for fuels. Reforms to remove subsidies from fuel inputs to electricity generation has seen prices for natural gas increase 66% from $0.75 per million British thermal units (MMBtu) in 2015 to $1.25 MMBtu in 2018. Diesel fuel prices increased 77% from $9.11 a barrel in 2015 to $16.15 a barrel in 2018. Arab light crude increased 50% from $4.24 a barrel to $6.35 a barrel, and Arab heavy crude increased 65% from $2.67 a barrel in 2015 to $4.4 a barrel in 2018 [52].
The SEC increased tariffs in 2016 and 2018 (Figure 4), passing on these higher fuel input costs to the consumer. The winter bill for an indicative household has risen from around US $20 to US $70 per month (268%) and summer bills from around $250 USD to $450 USD per month (75%) (Figure 5 and Figure A3 in the Appendix A).
To help offset increased living costs from higher energy and water prices and the introduction of a 5% value-added tax (VAT) (from January 2018), the Kingdom introduced a system of means-tested payments through its newly-established Citizens Account Program [54,55]. The monthly payment citizens are eligible for is dependent on income, financial assets and the number of family dependents.
As of April 2019, the total number of Citizen Account Program accounts opened was 3.76 million, split between accounts for entire households (61%) and accounts for individuals (39%). The Program had made 17 monthly payments, amounting to 40 billion SAR ($10.7 billion USD).
The figures released in April 2019 also included an attribution of the payments for different cost of living components. From the 40 billion SAR distributed, electricity constituted 28%, gasoline 25% and other (including VAT) 47%, meaning 53% of the Citizen Account payments compensate energy price reform.
The highest income band to qualify for the payments is 20,159 SAR (US $5375) per month, and the average monthly payment has been 1000 SAR (US $267). It is also important to note that the payment does not go up or down with living costs due to the seasonality of electricity bills.
Providing monthly cash payments has helped avoid the popular anger seen in other parts of the world when implementing similar reforms, such as in France with the ‘gilets jaune’, or ‘yellow vests’ movement. However, energy prices in Saudi Arabia are still low compared with other countries, and the price reform process is ongoing. For example, average household electricity prices in Australia are around US $0.2485 per kWh, US $0.1289 per kWh in the U.S., but only US $0.048 in Saudi Arabia [56].
Higher electricity prices in Saudi Arabia, initiated by the start of the energy price reform in 2016, represent a major shift in the relationship between the state and its citizens and how the country’s natural wealth is shared. They also represent an important natural experiment regarding energy prices and energy use. After briefly laying out our materials and methods, the next sections present our empirical analysis and results, which give some insight into the impact of such policies.

3. Materials and Methods

3.1. Data Sources

To investigate the temperature change in Saudi Arabia, the ECMWF ERA5 dataset [6] has been used for the years 1970 to 2018. ERA5 is the latest and fifth generation of global climate reanalysis produced by ECMWF. The greatest advantages of this dataset include the provision of hourly data and fine spacial resolution (0.25 degrees latitude/longitude, or what is about 25 kilometres for Saudi Arabia). ERA5 reanalysis can thus be used to track atmospheric conditions at city levels and has found practical application in various climate change-related studies such as one conducted for the BBC [3].
The dataset provides atmospheric, land-surface and sea-state parameters. This study uses the air temperature at 2 m above the surface of land, sea or in-land water. Temperature trends were obtained by plotting a linear rate of change over the sample period for geographical coordinates of key cities. The linear trend was fitted to yearly mean temperatures (the mean of monthly means of daily temperature means). A trend for summer temperature changes was obtained in the same way, where sample data included mean summer temperatures for each year from 1979 to 2018.
The SEC power generation data divides the Kingdom into four regions, with the majority of generation in the Western, Central and Eastern regions (Figure 6).
Hourly electricity data was available for 2011–2015, except for 2012. Electricity data includes demand from all sources, the main groupings being buildings and industrial uses. SEC is the largest provider of electricity in the Kingdom, with a share of 66% of Saudi Arabia’s total electricity capacity [57]. The SEC data excludes some independent electricity power generation produced by some large industrial users, such as cement plants and refineries. The SEC data also relates to the total amount of primary generation before transmission, distribution and other losses. For example, according to Enerdata [56] in 2018 the total primary electricity generation was 351 TWh while total final electricity consumption was 285 TWh, implying losses of 19%.
The main portal for our annual energy data is Enerdata [56,58] downloaded as of September 2019. This sources primary information from the IEA [59] and national sources including the Saudi Arabian Monetary Agency (SAMA) and the Saudi Energy Efficiency Center (SEEC) and is updated regularly as new information is released to inform the most recent year of estimates.
One important distinction between the hourly SEC data and Enerdata’s annual data for residential and commercial energy consumption [58] is that the later is based on final electricity consumption after transmission and distribution losses. Final consumption data has an advantage over the hourly primary SEC generation data by being able to distinguish electricity use by each sector (buildings and industry). Within the buildings sector the use of electricity it is disaggregated into residential users and commercial (services) users. For example, in 2018 total final electricity consumption of 285 TWh comprised of 41 TWh used for industry (14%), 144 TWh used for residential buildings (51%) and 100 TWh used for the services sector (35%). This suggests around 86% of the total final electrical demand comes from buildings.
Enerdata then further disaggregates buildings electricity consumption according to end use (cooling, lighting, hot water, cooking, etc.) using information supplied by SEEC. For example, in 2018 the total electricity demand from cooling for the residential and services sectors was 101 TWh and 70 TWh respectively constituting around 70 of the total electrical demand for each sector.
Annual data on electricity fuel inputs and CO2 emissions from electricity were obtained from [56]. The two main fuel inputs are natural gas and oil-based liquid fuels. Oil-based fuels include crude oil, heavy fuel oil, diesel as well as some other oil products. While the dynamics of these individual fuels can be assessed using monthly data from the Joint Oil Data Initiative (JODI) it was beyond the scope of this paper to evaluate these trends. This would be a useful exercise for future research on the Kingdom’s changing CO2 emissions.

3.2. Analytical Approach

The capital, Riyadh [24.75° N 46.75° E] was chosen as a representative location for temperature evaluation in the Central region, as the majority of the Central region population is concentrated in this city. Temperatures for each of the rest of the regions were identified by averaging temperatures in their respective key cities. The temperature in the Eastern region was determined by the average across Dammam [26.50° N 50.00° E] and Dhahran [26.25° N 50.00° E]. The temperature in the Western region was determined by the average across Jeddah [21.50° N 39.25° E] and Mecca [21.50° N 39.75° E]. The Southern region temperature was estimated as the average across Al Baha [20.00° N 41.50° E], Abha [18.25° N 42.50° E], Khamis Mushait [18.25° N 42.75° E], Najran [17.50° N 44.25° E] and Jazan [17.00° N 42.75° E]. National temperature changes were obtained by averaging the temperature data points from ERA5 on a latitude/longitude grid inside the boundaries of the Kingdom. We took into account latitude cosine correction, as the distance between each degree of latitude decreases as the distance from the equator increases. This accounts for the fact that points further from the equator should be assigned less weight when calculating countries’ average weather values.
We used hourly data from the ECMWF ERA5 dataset and paired it with the SEC’s hourly electricity generation data to perform correlation analysis between temperature and power. We performed the correlation analysis for each individual year using a Pearson correlation test in Matlab including 8760 paired data points in each year and selected 2015 (the most recent) for illustrative purposes. While total generation increased on average by 6% per year from 2011 to 2015, the correlation coefficients between temperature and power generation were relatively stable (Table A1 in Appendix A).
We then used OLS regression to obtain an estimate of the amount of power generation added for each 1 °C increase in temperature throughout the year in each region. We conducted the OLS analysis for each year individually and again selected 2015 for illustrative purposes (for detailed regression results see Table A2 in Appendix A). The relationship between hourly temperature and hourly power generation was highly significant in all regions with all p values very close to zero. In the summary table in the appendix we have shown the relevant t-statistic values. These indicate that the trend of linear regression is significant for all the tests at a 99.99% confidence level. While the strength of the relationship means a simple linear functional form provides a robust general result, further research could explore the evidence of nonlinearity especially in the Eastern and Central regions. It should also be noted that the β ^ values describing the level of power generation added due to temperature change are higher in each subsequent year from 2011 to 2015 reflecting the increase in overall power generation over this period.
To assess post-2016 trends in electricity consumption and the impact of energy price reform, energy efficiency and fuel switching policies we employed descriptive statistical analysis of annual final electricity consumption in the residential and commercial sectors, the fuel mix from primary electrical generation and the associated CO2 emissions from 2010 to 2018.

4. Results

4.1. Local Warming Trends (1979–2018)

The ECMWF ERA5 dataset is consistent with previous studies on temperature characteristics of the Arabian Peninsula. Figure 7 and Table 1 describe the monthly mean of daily temperature means for January and July 2015, and the key temperature characteristics in each of the four electricity generation regions. We chose 2015 as the representative year as this is the most recent year for the detailed electricity data from the SEC.
In 2015, January temperatures ranged between 15 °C to 20 °C, while July temperatures were within a 30 °C to 40 °C range. About half of all territory in Saudi Arabia, predominantly in the east, experienced summer highs of 45 °C in 2015. Only in very few locations in the south-west and north-west did average temperatures in the summer months stay below 30 °C.
Compared to the previous and following years, 2015 was neither hot nor cold, with annual and summer temperature means close to 2012–2018 averages (Table 1). This also makes 2015 a good year to use for illustration.
Figure 8 and Figure 9 use historical data from the ECMWF ERA5 dataset to show the temperature changes across the Arabian Peninsula and the surrounding regions for the 40 years from 1979–2018. On average, Saudi Arabia has warmed by about 1.9 °C since 1979, which equates to around 0.471 °C per decade or 0.047 °C per year. Mean summer temperatures increased at faster rates for most of the country. If only summer months are considered, the warming is 2.2 °C degrees on average across the whole country, or 0.557 °C per decade and 0.056 °C per year.
The coastal areas warm less compared with inland areas with the Red Sea providing better thermal regulation compared with the Persian Gulf. For example, in general, Jeddah remains cooler than Dammam. The northern parts of the Kingdom are experiencing the most intense warming, especially during summer. For example, in Sakaka (in the north-west of the country), the average summer temperature has increased by 3.3 degrees since 1979. The capital, Riyadh has also seen dramatic temperature rises, of around 2.3 °C and 2.8 °C for whole years and summer months, respectively (Figure 9). Warming is most limited in the northwest, southwest and southeast of the country. For example, the Neom project, aiming to be a new ‘city of the future’ on the border with Egypt and Jordan, is in one of these zones.

4.2. Intra-Year Seasonality of Electricity Generation

Driven by the extreme shift between winter and summer temperatures within a year and the demand for cooling, daily electricity generation in August or July may be almost two times higher than in December or January (Figure 10). In 2015, during specific summer days, power generation reached around 60 GW, while during the winter it was as low as 23 GW.
It is also important to note that variations in the daily power load curve profile are the highest during summer, especially in July and August, where the difference between peak and off-peak hours reaches 13 GW. In summer, this accounts for approximately 20% of the SEC’s total capacity. In contrast, during winter in 2015, the difference between peak and off-peak power production did not exceed 9 GW and in some days was less than 5 GW. Such high daily variation in the load profile provides a rationale for load smoothing technologies such as chilled water or ice storage and district cooling to help level peak loads, especially for commercial buildings.
The scatterplots of hourly power generation and hourly temperature for the four regions of Saudi Arabia are shown in Figure 11 using data from 1 January to 31 December 2015. As expected, temperature and electricity generated are strongly positively correlated in every region. Across the year, the strongest correlation exists in the Eastern, Central and Western regions, where 91%, 86% and 85% of the change in electricity generation is associated with temperature variation. The correlation coefficient is lower in the cooler southern region, where temperature changes are associated with around 70% of the variation of power generation.
The β ^ values for the ordinary linear regressions for each region with temperature as an explanatory variable give an indication of the increase in electricity generation associated with each 1 °C of warming, as each region transitions from winter to summer. These are 267 MW for the Eastern region, 334 MW for the Central region, 489 MW for the Western region and 87 MW for the Southern region in 2015. This increase represents around 2.0% of average power generation in the Eastern region, 2.9% in the Central, 4.6% in the Western and 2.4% in the Southern region. The Western region adds the most electricity for each degree of temperature increase suggesting a higher intensity of AC use relative to the rest of the country. Overall, approximately 1.177 GW is added nationally for every 1 °C increase in temperature from winter to summer.
Figure 11 also distinguishes each season, with autumn and spring exhibiting the strongest link between temperature and power generation. A likely reason for this is that people manage their AC loads more actively during these months, depending on the temperature. The lower correlation coefficient for summer is likely because, once temperatures reach a certain level, people leave their air conditioning on continuously—the variation in electricity demand is related to external temperatures and thermostat settings. This provides a rationale for ‘smart’ ACs with networked connectivity to help consumers manage AC usage more actively in hot months, especially when they are not in their dwelling or a particular room.
In winter, we see lower correlation coefficients, especially in the dry Central region, where variations in temperature and power generation are essentially unrelated. This is not the case for the coastal regions where temperature variation still accounts for between 34% and 75% of the change in electricity generation. The lower correlation coefficients may also be due to the use of AC units for heating as temperatures fall below 18 °C.
The Central and Eastern regions show evidence of a non-linear relationship between temperature and power generation, with power generation relatively less responsive to temperature until temperatures of around 22 °C are reached. This contrasts with the Western and Southern regions, where power generation generally increases linearly. This could be due to the higher proportion of industrial electricity demand in the Eastern and Central regions, which is less influenced by temperature.

4.3. Share of AC in Total Electricity Demand from Buildings

Figure 12 and Figure 13 show total electrical consumption in TWh for buildings in the residential and services sectors (panel a) and their respective year-on-year percentage changes (panel b). In 2018 total electricity consumption in buildings was around 244 TWh, with residential uses accounting for 144 TWh (59%) and services (the commercial sector) 100 TWh (41%). In 2018, air conditioning consumed 101 TWh in the residential sector and 70 TWh in the services sector. During the period under analysis, the share of air conditioning in total final electricity demand from buildings was relatively stable at 70% for both the residential and commercial sectors.
Between 2010 and 2015 annual growth in electricity demand in the residential sector was approximately 6% on average, and 11% for the services sector. From 2016 there was a distinct shift toward lower rates of growth. For example, in 2016 residential electricity demand fell by 1.7% and registered no significant change in 2017 and 2018. Commercial demand increased by 1% and 0.5% in 2016 and 2017, respectively and registered no significant change in 2018.

4.4. Electricity Fuel Mix and CO2 Emissions

In 2018, total electricity production was 351 TWh, comprised of 145 TWh generated from oil-based products and 206 TWh from natural gas (Figure 14). In 2013, gas replaced oil as the primary fuel input for electricity production and increased to 59% of the fuel mix in 2018. Oil has about a 25% higher CO2 intensity than gas, with 20 kg per gigajoule for oil compared with 15.3 kg for gas. This shift in the fuel mix from oil to gas has consequently had a significant bearing on CO2 emissions associated with power generation [60].
Figure 15 shows that CO2 emissions from power generation fell by 4% in 2013 and 5.9% in 2016. In 2017, emissions from the power sector rose by 2.9%, while in 2018 emissions from power were stable. One of the major drivers of these changes has been the shift in the use of oil in the fuel mix. Shifts in the use of natural gas resulted in relatively small changes in emissions. Another factor behind the fall in emissions may be that new combined-cycle gas power plants are significantly more efficient than the older simple cycle oil plants they replace. The increased use of gas in more efficient power plants has helped stabilize emissions in the power sector, alongside slowing electricity demand growth as a result of higher prices and increased AC energy efficiency.

5. Discussion of Results in Light of Previous Studies

Existing literature on electricity, temperature and the sustainability of cooling in Saudi Arabia are spread over several methodological or disciplinary fields. While some interdisciplinary research has been undertaken, notably the IEA’s work on cooling [1], few academic studies have taken an interdisciplinary approach. The sustainability of cooling encompasses temperature change and techno-economic studies of energy use. Accordingly, we feel such an interdisciplinary approach is important to fully understand and manage the sustainability challenge of cooling. We have organized the discussion of our results in this section as they relate to methodological or thematic groupings in the literature. We conclude by summarizing the key insights of the paper.

5.1. Physical Science of Temperature Change in Saudi Arabia

The analysis of temperature change from 1979–2018 using the ECMWF ERA 5 data conducted in this paper suggests average warming across the country of 1.9 °C over 40 years, or 0.475 °C per decade and 0.0475 °C per year. Mean summer temperatures rose faster: by 2.2 °C over 40 years, or 0.55 °C per decade and 0.055 °C per year. The fastest rate of warming was in the summer in the northern central part of the country, including cities such as Sakaka (+3.3 °C) and Riyadh (+2.8 °C). Coastal areas, particularly on the Red Sea and in the region of Neom in the north west of the country, showed more moderate warming (below 2 °C), as did the sparsely populated south east of the country bordering Oman. This distribution, rate of temperature change and the faster rate of warming in the summer season is consistent with the findings of other studies, which identified annual warming in the range of 0.0583 °C to 0.125 °C for summer and 0.0427 °C to 0.0662 °C for winter, depending on the location [19,61].
Considering that average global warming since 1880 has been about 1 °C [62,63], a 2 °C warming on average over the last 40 years in Saudi Arabia is high, placing the country in a global hotspot of localized warming. This view is supported by a global application of the ECMWF data, which shows that Saudi Arabia has experienced some of the most significant warming trends on the planet over recent decades [3].
When interpreting this result, it is important to keep two issues in mind. First, two-thirds of global warming since 1880 has occurred in the past four decades, encompassed by our study. Second, the temperature change on land exceeds that of the oceans, which means the average global temperature change is lower if the surface area of the oceans is included. By comparison, the land temperature in the Northern Hemisphere has warmed by around 1.25 °C over the past 40 years, based on a linear trend in yearly average temperature data from NASA GISS [62,63].
Our results make a contribution to the field by providing an assessment of local warming trends for Saudi Arabia as a whole and for key cities in different regions. This provides valuable information for utility managers and city planners responsible for infrastructure decisions that can help local populations adapt to changing climatic conditions. It also provides policymakers involved in climate discussions with a clear indication of the direction and magnitude of past temperature changes in Saudi Arabia, and what the implications may be of trends continuing or intensifying. For example, one study has suggested that, if past trends continued, the MENA region could experience another 6 °C of warming in the summer months this century [20]. Such work highlights the need for adaptation strategies and increased awareness of how climate change affects Saudi Arabia.

5.2. Energy Economics and the Relationship between Temperature and Electricity Consumption

This study provides a detailed assessment of the relationship between electricity generation and temperature in each of the four SEC generation regions of the Kingdom in each season of the year using hourly data. For the country as a whole, ordinary least squares (OLS) regression suggests for every 1 °C of warming, approximately 1.177 GW of power generation was brought on line in the seasonal transition from winter to summer. In 2015, average winter and summer loads were 28.27 GW and 49.75 GW, respectively. To check the OLS result, we can take the average winter temperature of 16 °C and the average summer temperature of 32 °C, with a differential of 19 °C, and compare it to the difference between average winter and summer generation. This implies around 1.13 GW is added for each additional 1 °C of temperature rise within the year. This is consistent with our OLS result.
The result is also consistent with past work that suggested average winter electricity generation is roughly double average summer levels to handle the increased AC load [23,24,25]. In this context, the results of our study provide a more recent and detailed analysis.
While it was beyond the scope of this study to conduct a more in-depth econometric analysis, future work could incorporate multiple years (subject to data availability) and include other variables such as humidity. Seasonal dummy variables could also be used to filter the analysis following similar approaches in studies on other countries [64,65,66]. Alternative functional forms such as log-linear could also be explored, given the evidence of non-linearity between temperature and electricity generation in some regions. An index approach involving cooling degree-days and humidity could also be taken as an alternative to using temperature as the main explanatory variable.

5.3. Studies on the Sustainability of Cooling in Saudi Arabia

Most existing literature on the sustainability of electricity consumption in Saudi Arabia predates the significant energy price reforms that began in 2016 [35,36]. Commencing in 2016, significant energy price reforms have been complemented by the intensification of AC energy efficiency standards, stronger building regulations and enforcement, and consumer rebates for high-efficiency AC units.
To our knowledge, this study provides one of the first assessments of electricity and AC trends since such measures came into effect. It also fills a gap in the literature by providing a focused analysis of the contribution of ACs to electricity demand in buildings in Saudi Arabia, the country with the highest share of AC use in household electricity consumption globally [2].
Our analysis shows that, between 2010 and 2015, growth in electricity consumption ranged between 4–10% per annum in the residential sector and by 2–18% per annum in the commercial sector. Since 2016, there has been a significant break in this trend, with residential electrical consumption falling in 2016 and showing no growth in 2017 and 2018. Commercial electricity consumption stabilized and grew at less than 1% in each year between 2016 and 2018, having fallen from even higher growth rates than residential consumption.
Studies on the sustainability of electricity and cooling in Saudi Arabia have primarily focused on the amount of oil used domestically in power generation and the implications of this for oil exports [32,33,34,35]. While CO2 mitigation is seen as a co-benefit, few studies have explicitly analyzed CO2 emissions. Wogan et al. [67] is a notable exception and provides a forward-looking assessment of power sector pathways to meet Saudi Arabia’s 130,000 million tonnes of CO2 (MtCO2) commitment under the Paris Agreement. While the authors do not consider AC or energy efficiency explicitly, they model a range of renewable energy, nuclear, carbon intensity and energy-price reform policy options through to 2030. The authors conclude that increasing the costs of fuel inputs would be the most effective pathway for reducing CO2 emissions, a process now underway.
Our results fill a gap in the literature by providing a more detailed view of the electricity-related CO2 emissions and their drivers in the fuel mix based on historical information (2010–2018). Power sector emissions are highly sensitive to the quantities of oil products used in the generation mix, and any policy or activity that reduces the use of oil products, especially in summer, will have a significant impact on emissions. For example, in July 2013 around one million barrels per day of oil products were added to the electricity generation mix compared with January [37]. Updating this monthly analysis using data from JODI would be a useful extension to the analysis in this paper and a topic for further research.
While the use of oil products fell relative to gas from 2010–2018, in absolute terms electricity generation from oil has remained constant at around 150 TWh. Future research can explore the barriers and opportunities for decommissioning old, inefficient oil-based generation capacity and substituting this with gas or renewable energy. The latter is likely to be especially important in the Western region, where gas infrastructure is limited.

6. Conclusions

This paper provides an overview of climatic conditions in Saudi Arabia and analyzes temperature changes from 1979 to 2018. According to the ECMWF data, Saudi Arabia is in a global hotspot of localized warming, with average summer temperatures in some cities having risen by over 3 °C and by 2.8 °C in the capital, Riyadh during this 40-year period. Considering global average warming of 1 °C since 1880 and the potential for this to rise to 2 °C or more, the future for local summer temperatures in Saudi Arabia should be an important concern for policymakers. For example, such information is relevant for climate change adaptation strategies and can inform the development of mega projects currently underway, such as Neom, a new city to be located in the milder north west of the country, less exposed to the warming climate.
That Saudi Arabia’s extreme summer temperatures are associated with large increases in electricity demand to power the country’s AC units is an expected result. What is perhaps surprising is that the share of household electricity consumption devoted to AC is so far above that of other countries with similar climatic conditions, such as the United Arab Emirates (UAE). While cultural factors such as larger living spaces and subjective perceptions of comfort may play a role in influencing this, it nevertheless highlights the potential for improvements to be made to the Kingdom’s building stock and its use of AC.
Based on our review of past studies and informed by our empirical analysis, Table 2 summarizes some of the main areas that could contribute to a more sustainable future for cooling in the Kingdom.
Progress in reducing the CO2 intensity of the power sector, higher consumer prices, stronger AC standards, building codes and public awareness around responsible energy use have all helped put Saudi Arabia’s cooling needs onto a more sustainable path. With increasing temperatures, a growing population and an increasing area of floor space in need of cooling, Saudi Arabia represents an important case study at the extreme end of AC use. This paper fills a gap in the existing literature by drawing attention to the challenge of sustainable cooling and presenting solutions for Saudi Arabia and beyond.

Author Contributions

N.H., paper conceptualization, literature review, writing—original draft preparation, review and editing, formal analysis—AC efficiency, annual electricity consumption, AC and CO2. N.O., data curation—ECMWF ER5 temperature and SEC electricity generation, methodology—temperature and power generation correlation, formal analysis—temperature characteristics, temperature and power correlation; writing—original draft preparation and review. T.A., data curation SEC generation, data analysis and visualization—electricity prices and household bills, writing—review and editing. A.A., investigation—household electricity and AC energy consumption. A.L., data curation and validation, methodology; formal analysis—annual electricity, AC and CO2. T.P., supervision of N.O. All authors have read and agreed to the published version of the manuscript.


This research received no external funding.


The original idea for this article came from a workshop organized by Rory Jordan at KAUST on the future of cooling. The authors would like to thank the KAPSARC Data Portal team for making hourly SEC data available for the analysis. The authors would also like to thank Wardana Saputra for his help in organizing Matlab code to analyze and sort the ERA5 dataset. Chay Allen, Senior Editor at KAPSARC, also provided helpful suggestions on the text. Two anonymous reviewers provided valuable reactions and suggestions to improve the article for which we are grateful.

Conflicts of Interest

The authors declare no conflicts of interest.

Appendix A

Figure A1. Total CO2 emissions for Saudi Arabia and annual percentage change (2010-2018). Source: [56].
Figure A1. Total CO2 emissions for Saudi Arabia and annual percentage change (2010-2018). Source: [56].
Climate 08 00004 g0a1
Figure A2. Sectoral annual percentage change in CO2 emissions (2011–2018) Source: [56].
Figure A2. Sectoral annual percentage change in CO2 emissions (2011–2018) Source: [56].
Climate 08 00004 g0a2
Figure A3. Monthly electrical consumption for an indicative household. Source: SEC.
Figure A3. Monthly electrical consumption for an indicative household. Source: SEC.
Climate 08 00004 g0a3
Table A1. Hourly temperature-power correlation coefficients.
Table A1. Hourly temperature-power correlation coefficients.
Mean annual temperature across KSA, °C23.623.624.024.4
Mean summer temperature across KSA, °C31.831.131.432.0
Eastern operation region
Total SEC electricity production, TWh86.771494.74110.14117.17
Central operation region
Total SEC electricity production, TWh74.613684.1992.74100.44
Total 0.8450.8340.8610.856
Western operation region
Total SEC electricity production, TWh73.55683.4587.5192.88
Southern operation region
Total SEC electricity production, TWh22.34727.2329.4631.82
Table A2. Details of OLS regression analysis.
Table A2. Details of OLS regression analysis.
Eastern operation region
β ^ 0.1740.2390.2540.267
Central operation region
β ^ 0.2340.2900.3010.334
Western operation region
β ^ 0.3540.4170.4550.489
tStat131.5135.67145.68 152.96
Southern operation region
β ^ 0.0640.0750.0860.087
Dependent variable: hourly power generation (GW); Explanatory variable: hourly temperature (°C); Degrees of freedom (df): 8758 for each test of each year.


  1. IEA. The Future of Cooling Opportunities for Energy-Efficient Air Conditioning Together Secure Sustainable; International Energy Agency: Prais, France, 2018. [Google Scholar]
  2. ENERDATA. Future of Air-Conditioning; ENERDATA: Grenoble, France, 2019. [Google Scholar]
  3. BBC. How Much Warmer Is Your City? Available online: (accessed on 5 September 2019).
  4. Aldossary, N.A.; Rezgui, Y.; Kwan, A. An investigation into factors influencing domestic energy consumption in an energy subsidized developing economy. Habitat Int. 2015, 47, 41–51. [Google Scholar] [CrossRef]
  5. Taleb, H.M.; Sharples, S. Developing sustainable residential buildings in Saudi Arabia: A case study. Appl. Energy 2011, 88, 383–391. [Google Scholar] [CrossRef]
  6. Copernicus Climate Change Service (C3S). ERA5: Fifth Generation of ECMWF Atmospheric Reanalyses of the Global Climate; ECMWF: Reading, UK, 2017. [Google Scholar]
  7. Hasanean, H.; Almazroui, M. Rainfall: Features and Variations over Saudi Arabia, A Review. Climate 2015, 3, 578–626. [Google Scholar] [CrossRef] [Green Version]
  8. Walter, H.; Lieth, H. Klimadiagramm-Weltatlas; VEB Gustav Fischer Verlag: Jena, Germany, 1967. [Google Scholar]
  9. Müller, M.J. Selected Climatic Data for a Global Set of Standard Stations for Vegetation Science; Springer: The Hague, The Netherlands, 1982; pp. 55–141. [Google Scholar]
  10. Moore, E. Gardening in the Middle East; Stacey International: London, UK, 1986. [Google Scholar]
  11. Khabaz, A. Construction and design requirements of green buildings’ roofs in Saudi Arabia depending on thermal conductivity principle. Constr. Build. Mater. 2018, 186, 1119–1131. [Google Scholar] [CrossRef]
  12. Zuhairy, A.A.; Sayigh, A.A.M. The development of the bioclimatic concept in building design. Renew. Energy 1993, 3, 521–533. [Google Scholar] [CrossRef]
  13. Said, S.A.; Habib, M.; Iqbal, M. Database for building energy prediction in Saudi Arabia. Energy Convers. Manag. 2003, 44, 191–201. [Google Scholar] [CrossRef]
  14. Alrashed, F.; Asif, M. Analysis of critical climate related factors for the application of zero-energy homes in Saudi Arabia. Renew. Sustain. Energy Rev. 2015, 41, 1395–1403. [Google Scholar] [CrossRef]
  15. Athar, H. Trends in observed extreme climate indices in Saudi Arabia during 1979–2008. Int. J. Climatol. 2014, 34, 1561–1574. [Google Scholar] [CrossRef]
  16. Almazroui, M.; Islam, M.N.; Dambul, R.; Jones, P.D. Trends of temperature extremes in Saudi Arabia. Int. J. Climatol. 2014, 34, 808–826. [Google Scholar] [CrossRef]
  17. Alghamdi, A.S.; Harrington, J. Synoptic climatology and sea surface temperatures teleconnections for warm season heat waves in Saudi Arabia. Atmos. Res. 2019, 216, 130–140. [Google Scholar] [CrossRef]
  18. Almazroui, M. Simulation of present and future climate of Saudi Arabia using a regional climate model (PRECIS). Int. J. Climatol. 2013, 33, 2247–2259. [Google Scholar] [CrossRef]
  19. Tarawneh, Q.; Chowdhury, S. Trends of Climate Change in Saudi Arabia: Implications on Water Resources. Climate 2018, 6, 8. [Google Scholar] [CrossRef] [Green Version]
  20. Lelieveld, J.; Proestos, Y.; Hadjinicolaou, P.; Tanarhte, M.; Tyrlis, E.; Zittis, G. Strongly increasing heat extremes in the Middle East and North Africa (MENA) in the 21st century. Clim. Chang. 2016, 137, 245–260. [Google Scholar] [CrossRef] [Green Version]
  21. News, B. Saudi Arabia Law to Protect Outdoor Workers from Sun. Available online: (accessed on 7 May 2019).
  22. Balling, R.C.; Gober, P. Climate Variability and Residential Water Use in the City of Phoenix, Arizona. J. Appl. Meteorol. Climatol. 2007, 46, 1130–1137. [Google Scholar] [CrossRef]
  23. Al-Hadhrami, L.M. Comprehensive review of cooling and heating degree days characteristics over Kingdom of Saudi Arabia. Renew. Sustain. Energy Rev. 2013, 27, 305–314. [Google Scholar] [CrossRef]
  24. Indraganti, M.; Boussaa, D. A method to estimate the heating and cooling degree-days for different climatic zones of Saudi Arabia. Build. Serv. Eng. Res. Technol. 2017, 38, 327–350. [Google Scholar] [CrossRef]
  25. Atalla, T.; Gualdi, S.; Lanza, A. A global degree days database for energy-related applications. Energy 2018, 143, 1048–1055. [Google Scholar] [CrossRef] [Green Version]
  26. Krarti, M.; Dubey, K.; Howarth, N. Evaluation of building energy efficiency investment options for the Kingdom of Saudi Arabia. Energy 2017, 134, 595–610. [Google Scholar] [CrossRef]
  27. ASHRAE. Climatic Design Conditions. Available online: (accessed on 7 May 2019).
  28. Hong, T.; Chang, W.K.; Lin, H.W. A fresh look at weather impact on peak electricity demand and energy use of buildings using 30-year actual weather data. Appl. Energy 2013, 111, 333–350. [Google Scholar] [CrossRef] [Green Version]
  29. Moral-Carcedo, J.; Pérez-García, J. Temperature effects on firms’ electricity demand: An analysis of sectorial differences in Spain. Appl. Energy 2015, 142, 407–425. [Google Scholar] [CrossRef] [Green Version]
  30. Blazquez, J.; Hunt, L.C.; Manzano, B.; Pierru, A. The Value of Saving Oil in Saudi Arabia. Econ. Energy Environ. Policy 2019, 9, 1–28. [Google Scholar]
  31. Saudi Gazette Al-Falih Urges ‘Fair’ Energy Transition, Defends Oil. Available online: (accessed on 8 May 2019).
  32. Alnatheer, O. Environmental benefits of energy efficiency and renewable energy in Saudi Arabia’s electric sector. Energy Policy 2006, 34, 2–10. [Google Scholar] [CrossRef]
  33. Alnatheer, O. The potential contribution of renewable energy to electricity supply in Saudi Arabia. Energy Policy 2005, 33, 2298–2312. [Google Scholar] [CrossRef]
  34. Rahman, S.M.; Khondaker, A.N. Mitigation measures to reduce greenhouse gas emissions and enhance carbon capture and storage in Saudi Arabia. Renew. Sustain. Energy Rev. 2012, 16, 2446–2460. [Google Scholar] [CrossRef]
  35. Lahn, G.; Stevens, P. Burning Oil to Keep Cool: The Hidden Energy Crisis in Saudi Arabia; Chatham House: London, UK, 2011; pp. 1–49. [Google Scholar]
  36. Abubakar, I.R.; Aina, Y.A. Achieving Sustainable Cities in Saudi Arabia: Juggling the Competing Urbanization Challenges; Information Resources Management Association: Hershey, PA, USA, 2016. [Google Scholar]
  37. Fattouh, B. Summer Again: The Swing in Oil Demand in Saudi Arabia; Oxford institute of Energy Studies: Oxford, UK, 2013. [Google Scholar]
  38. Farnoosh, A.; Lantz, F.; Percebois, J. Electricity generation analyses in an oil-exporting country: Transition to non-fossil fuel based power units in Saudi Arabia. Energy 2014, 69, 299–308. [Google Scholar] [CrossRef] [Green Version]
  39. Algarni, S.; Nutter, D. Geospatial Representation of the Residential Energy Use in Saudi Arabia. In Proceedings of the 2013 ASME Early Career Technical Conference, Tulsa, OK, USA, 4–6 April 2013. [Google Scholar]
  40. Alshahrani, J.; Boait, P. Reducing High Energy Demand Associated with Air-Conditioning Needs in Saudi Arabia. Energies 2018, 12, 87. [Google Scholar] [CrossRef] [Green Version]
  41. Proctor Engineering and AMAD. High EER at 46 °C Kingdom of Saudi Arabia Air Conditioner Project Draft Final Report. Available online: (accessed on 8 May 2019).
  42. SEEC. Saudi Energy Efficiency Program; Saudi Energy Effciiency Center: Riyadh, Saudi Arabia, 2018. [Google Scholar]
  43. Daikin. Towards higher energy efficient air conditioners in buildings. In SASO Air Conditioning Workshop, 30 January 2019; Daikin: Riyadh, Saudi Arabia, 2019. [Google Scholar]
  44. The Japan Refrigeration and Air Conditioning Industry Association (JRAIA). World Air Conditioner Demand by Region; JRAIA: Kyoto, Japan, 2019. [Google Scholar]
  45. Rafique, M.M.; Rehman, S.; Lashin, A.; Al Arifi, N. Analysis of a solar cooling system for climatic conditions of five different cities of Saudi Arabia. Energies 2016, 9, 75. [Google Scholar] [CrossRef] [Green Version]
  46. Al-Mogbel, A.; Ruch, P.; Al-Rihaili, A.; Al-Ajlan, S.; Gantenbein, P.; Witzig, A.; Michel, B. The Potential of Solar Adsorption Air-Conditioning in Saudi Arabia: A Simulation Study. In Proceedings of the 5th International Conference Solar Air Conditioning, Bad Krozingen, Germany, 25–27 September 2013. [Google Scholar]
  47. Al-Alili, A.; Hwang, Y.; Radermacher, R. Review of solar thermal air conditioning technologies. Int. J. Refrig. 2014, 39, 4–22. [Google Scholar] [CrossRef]
  48. Franchini, G.; Brumana, G.; Perdichizzi, A. Performance prediction of a solar district cooling system in Riyadh, Saudi Arabia—A case study. Energy Convers. Manag. 2018, 166, 372–384. [Google Scholar] [CrossRef]
  49. Nasri, F.; Alqurashi, F.; Nciri, R.; Ali, C. Design and simulation of a novel solar air-conditioning system coupled with solar chimney. Sustain. Cities Soc. 2018, 40, 667–676. [Google Scholar] [CrossRef]
  50. Al-Ugla, A.A.; El-Shaarawi, M.A.I.; Said, S.A.M.; Al-Qutub, A.M. Techno-economic analysis of solar-assisted air-conditioning systems for commercial buildings in Saudi Arabia. Renew. Sustain. Energy Rev. 2016, 54, 1301–1310. [Google Scholar] [CrossRef]
  51. KACST. Saudi Center for Energy Efficiency Launches Its Awareness Campaign to Rationalize Home Appliances Energy Consumption. Available online: (accessed on 8 May 2019).
  52. APICORP. Saudi power sector: Reforms underway. APICORP Energy Res. 2018, 3, 1–4. [Google Scholar]
  53. ECRA. Data and Statistics. Available online: (accessed on 5 August 2019).
  54. Citizens Account. Available online: (accessed on 8 May 2019).
  55. Al Awsat, A. Saudi Arabia Makes SAR3.2 Billion Payment in Citizens Account Program. Asharq Al-Awsat, 10 August 2018. [Google Scholar]
  56. ENERDATA. Energy & CO2 Data. Available online: (accessed on 29 August 2019).
  57. ECRA. Annual Statistical Booklet for Electricity and Seawater Desalination Industries; ECRA: Riyadh, Saudi Arabia, 2017. [Google Scholar]
  58. Enerdata. EnerDemand: The Global Efficiency and Demand Database; Enerdata: Grenoble, France, 2019. [Google Scholar]
  59. IEA. Extended World Energy Balances. Available online: (accessed on 29 August 2019).
  60. IEA. CO2 Emissions from Fuel Combustion; IEA: Paris, France, 2017. [Google Scholar]
  61. Rehman, S.; Al-Hadhrami, L.M. Extreme Temperature Trends on the West Coast of Saudi Arabia. Atmos. Clim. Sci. 2012, 2, 351–361. [Google Scholar] [CrossRef] [Green Version]
  62. Team, G. GISS Surface Temperature Analysis (GISTEMP). NASA Goddard Institute for Space Studies. Available online: (accessed on 7 May 2019).
  63. Hansen, J.; Ruedy, R.; Sato, M.; Lo, K. Global Surface Temperature Change. Rev. Geophys. 2010, 48, RG4004. [Google Scholar] [CrossRef] [Green Version]
  64. Bessec, M.; Fouquau, J. The non-linear link between electricity consumption and temperature in Europe: A threshold panel approach. Energy Econ. 2008, 30, 2705–2721. [Google Scholar] [CrossRef] [Green Version]
  65. Lee, C.C.; Chiu, Y.B. Electricity demand elasticities and temperature: Evidence from panel smooth transition regression with instrumental variable approach. Energy Econ. 2011, 33, 896–902. [Google Scholar] [CrossRef]
  66. Moral-Carcedo, J.; Vicéns-Otero, J. Modelling the non-linear response of Spanish electricity demand to temperature variations. Energy Econ. 2005, 27, 477–494. [Google Scholar] [CrossRef]
  67. Wogan, D.; Carey, E.; Cooke, D. Policy Pathways to Meet Saudi Arabia’s Contribution to the Paris Agreement. King Abdullah Pet. Stud. Res. Cent. 2019. [Google Scholar] [CrossRef]
Figure 1. The relationship between energy and climatic conditions. Source: Authors based on ASHRAE climatic design conditions 2017 [27,28,29]. Note: The average temperature in the hottest or coldest months are shown alongside annual cooling and heating degree days for each city. The threshold comfort zone of cooling degree days (CDD) and heating degree days (HDD) is 18 °C.
Figure 1. The relationship between energy and climatic conditions. Source: Authors based on ASHRAE climatic design conditions 2017 [27,28,29]. Note: The average temperature in the hottest or coldest months are shown alongside annual cooling and heating degree days for each city. The threshold comfort zone of cooling degree days (CDD) and heating degree days (HDD) is 18 °C.
Climate 08 00004 g001
Figure 2. Evolution of energy efficiency ratio (EER) Standards in Saudi Arabia. Source: Authors, based on [42,43] and the Saudi Arabian Standards Organization (SASO). Note: T1 = 35 °C, T3 = 48 °C refers to the test conditions at dry-bulb temperature.
Figure 2. Evolution of energy efficiency ratio (EER) Standards in Saudi Arabia. Source: Authors, based on [42,43] and the Saudi Arabian Standards Organization (SASO). Note: T1 = 35 °C, T3 = 48 °C refers to the test conditions at dry-bulb temperature.
Climate 08 00004 g002
Figure 3. Saudi Arabian AC demand by unit type (2016–2018) Source: Japan Refrigeration and AC Industry Association.
Figure 3. Saudi Arabian AC demand by unit type (2016–2018) Source: Japan Refrigeration and AC Industry Association.
Climate 08 00004 g003
Figure 4. Saudi Arabia’s 2016 and 2018 electricity price reforms. Source: Authors based on ECRA [53].
Figure 4. Saudi Arabia’s 2016 and 2018 electricity price reforms. Source: Authors based on ECRA [53].
Climate 08 00004 g004
Figure 5. The effect of energy price reforms on energy bills of a typical villa. Source: Authors based on SEC.
Figure 5. The effect of energy price reforms on energy bills of a typical villa. Source: Authors based on SEC.
Climate 08 00004 g005
Figure 6. Power operation areas of Saudi Arabia [57]. Source: SEC.
Figure 6. Power operation areas of Saudi Arabia [57]. Source: SEC.
Climate 08 00004 g006
Figure 7. Monthly mean of daily temperature means in Saudi Arabia (2015). (a) January (b) July Source: Authors based on ECMWF ERA5.
Figure 7. Monthly mean of daily temperature means in Saudi Arabia (2015). (a) January (b) July Source: Authors based on ECMWF ERA5.
Climate 08 00004 g007
Figure 8. Temperature change from 1979 to 2018. (a) whole year (b) summer only. Authors based on ECMWF ERA5 Dataset.
Figure 8. Temperature change from 1979 to 2018. (a) whole year (b) summer only. Authors based on ECMWF ERA5 Dataset.
Climate 08 00004 g008
Figure 9. Linear warming trend for (a) Riyadh [24.75° N 39.25° E] (b) Jeddah [21.50° N 39.25° E] (c) Dammam [26.50° N 50.00° E] and (d) Sakaka [30.00° N 40.25° E] over the past 40 years based on average yearly temperature. Source: Authors based on ECMWF ERA5 Dataset.
Figure 9. Linear warming trend for (a) Riyadh [24.75° N 39.25° E] (b) Jeddah [21.50° N 39.25° E] (c) Dammam [26.50° N 50.00° E] and (d) Sakaka [30.00° N 40.25° E] over the past 40 years based on average yearly temperature. Source: Authors based on ECMWF ERA5 Dataset.
Climate 08 00004 g009aClimate 08 00004 g009b
Figure 10. (a) Average daily power generation (load) in each operation region (b) Daily power generation (load) curve averaged for each month. Source: Authors based on 2015 data from Saudi Electricity Company (SEC) Note: Does not include transmission and distribution losses.
Figure 10. (a) Average daily power generation (load) in each operation region (b) Daily power generation (load) curve averaged for each month. Source: Authors based on 2015 data from Saudi Electricity Company (SEC) Note: Does not include transmission and distribution losses.
Climate 08 00004 g010
Figure 11. Average hourly temperatures in and hourly power generation in (a) Eastern (b) Central (c) Western (d) Southern regions (2015). Source: Authors based on data from SEC and ECMWF ERA5 Dataset for 2015.
Figure 11. Average hourly temperatures in and hourly power generation in (a) Eastern (b) Central (c) Western (d) Southern regions (2015). Source: Authors based on data from SEC and ECMWF ERA5 Dataset for 2015.
Climate 08 00004 g011
Figure 12. Residential electricity consumption and air conditioning (a) absolute (b) percentage change year-on-year. Source: Authors based on Enerdata.
Figure 12. Residential electricity consumption and air conditioning (a) absolute (b) percentage change year-on-year. Source: Authors based on Enerdata.
Climate 08 00004 g012
Figure 13. Services electricity consumption and air conditioning (a) absolute (b) percentage change year-on-year. Source: Authors based on Enerdata.
Figure 13. Services electricity consumption and air conditioning (a) absolute (b) percentage change year-on-year. Source: Authors based on Enerdata.
Climate 08 00004 g013
Figure 14. Fuel inputs to electrical generation (a) absolute (b) percentage change year on year (2000–2018). Source: Authors based on Enerdata.
Figure 14. Fuel inputs to electrical generation (a) absolute (b) percentage change year on year (2000–2018). Source: Authors based on Enerdata.
Climate 08 00004 g014
Figure 15. Electricity sector CO2 emissions (a) absolute (b) percentage change year on year (2010–2018). Source: Authors based on Enerdata.
Figure 15. Electricity sector CO2 emissions (a) absolute (b) percentage change year on year (2010–2018). Source: Authors based on Enerdata.
Climate 08 00004 g015
Table 1. Temperature characteristics of the most populated areas in each region for 2015 (°C).
Table 1. Temperature characteristics of the most populated areas in each region for 2015 (°C).
East27.444.76.6Dammam, Dhahran average
West29.843.514.3Jeddah, Mecca average
South24.436.29.8Average across Al Baha, Abha, Khamis Mushait, Najran and Jazan
Source: Authors based on ECMWF ERA5 [6].
Table 2. Summary of key areas for sustainable cooling in Saudi Arabia.
Table 2. Summary of key areas for sustainable cooling in Saudi Arabia.
Reform AreaAction
Continued electricity price reformIncrease electricity prices. Average household electricity prices are still ~37% of electricity prices in the U.S. and 19% of those in Australia
Reduce the carbon intensity of the electricity fuel mixSubstitute towards gas and renewable energy and away from more carbon intensive crude oil, HFO and diesel in electricity generation.
AC standards, building codes and public awarenessStrengthen minimum standards and close the gap between the average AC EER purchased and the best available EER.
Urban planning, new cities and mega housing projectsApply the latest cooling and building envelopes in the design of new cities such as Neom, the Red Sea Project, and large-scale public housing developments in Riyadh.
District cooling and storage of cool water or iceExpand district cooling. Use times of surplus generation capacity to chill water or ice to balance the extreme intraday swing in electricity demand.
Phase out and replace existing window AC unitsStop sales of window AC units that are cheaper to buy and install but less efficient than split systems. Introduce a ‘cash for clunkers’ AC program. Window units are no longer sold in many countries.
Phase out of HFC AC unitsSaudi Arabia has agreed to phasedown hydrofluorocarbon usage in AC units by 2028 under the United Nations Kigali Amendment to the Montreal Protocol.
Differential AC standards for humid versus dry climatesUse the more efficient evaporative AC in dry areas such as Riyadh.
Adopt a seasonal energy efficiency rating (SEER)Realize up to 30% energy savings with greater use of inverter technology or variable speed drives.
Innovation, research and development programsIncrease funding or create prizes for innovative high-efficiency AC units, and strengthen local manufacturing capabilities away from window units towards solar thermal and PV AC systems.
SASO standards for sensors and ‘smart’ AC systemsEquip AC units with digital sensors that can switch off or turn down the unit if no one is present in a room or dwelling.
Field tests or living lab to evaluate AC performanceCollect information on the actual use and performance of ACs in local Saudi Arabian conditions.
Source: Authors, based on a literature review.

Share and Cite

MDPI and ACS Style

Howarth, N.; Odnoletkova, N.; Alshehri, T.; Almadani, A.; Lanza, A.; Patzek, T. Staying Cool in A Warming Climate: Temperature, Electricity and Air Conditioning in Saudi Arabia. Climate 2020, 8, 4.

AMA Style

Howarth N, Odnoletkova N, Alshehri T, Almadani A, Lanza A, Patzek T. Staying Cool in A Warming Climate: Temperature, Electricity and Air Conditioning in Saudi Arabia. Climate. 2020; 8(1):4.

Chicago/Turabian Style

Howarth, Nicholas, Natalia Odnoletkova, Thamir Alshehri, Abdullah Almadani, Alessandro Lanza, and Tadeusz Patzek. 2020. "Staying Cool in A Warming Climate: Temperature, Electricity and Air Conditioning in Saudi Arabia" Climate 8, no. 1: 4.

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop