Integration of Renewable Energy Strategies: A Case in Dubai South

Abstract

As cities worldwide pursue sustainability, integrating renewable energy has emerged as a strategic priority in urban planning. This research provides a case study investigation into how Dubai South, a distinctive aerotropolis combining aviation, logistics, and residential sectors, can implement a comprehensive renewable energy strategy aligned with the UAE’s clean energy goals. Grounded in the theoretical frameworks of Sustainable Strategic Management (SSM) and Energy Management Systems (EMSs), and informed by global best practices and advanced technological innovations, this study proposes a strategic roadmap tailored to the complex energy demands and urban dynamics of Dubai South. Using the Dubai South HQ solar deployment as a baseline, this research explores technical, regulatory, and economic barriers alongside key enabling factors. Its core contribution is the development of a scalable strategy for renewable energy integration in aerotropolis settings, offering practical insights for policymakers, urban planners, and developers aiming to advance sustainability in rapidly evolving, logistics-based cities.

1. Introduction

Globally, renewable energy policies have become essential instruments in shaping a sustainable future. These strategies address interconnected challenges, such as climate change, environmental degradation, and energy insecurity, by accelerating the shift to clean energy sources [1,2]. Transitioning to renewables reduces greenhouse gas emissions, improves air quality, and mitigates the impacts of global warming. Moreover, it enhances national energy security by lowering dependence on imported fossil fuels and promoting domestic energy independence [3].

Dubai South (Available online: https://www.moec.gov.ae/en/-/dubai-south, https://www.dubaisouth.ae/en/work, accessed on 7 June 2025), a smart and sustainable city emerging in the UAE, exemplifies how renewable energy strategies can be effectively integrated into large-scale urban developments. Strategically located near the planned Al Maktoum International Airport and operating as a free economic zone with pro-investment policies, it has attracted significant global interest. Sustainability is central to its planning vision, demonstrated by the implementation of smart grids and solar energy systems in alignment with Dubai Electricity and Water Authority (DEWA) standards [4].

Dubai South’s integrated approach, combining infrastructure scalability, regulatory support, and technological readiness, makes it an ideal testbed for renewable energy deployment. More importantly, it serves as a replicable model for other high-growth cities, such as logistics hubs, special economic zones, and greenfield urban developments, seeking to implement clean energy strategies that are adaptive, future-ready, and sustainable.

This paper proposes a comprehensive renewable energy integration strategy designed for multi-sector urban environments, with Dubai South as a representative case. As a rapidly developing aerotropolis that encompasses aviation, logistics, commercial, and residential functions, Dubai South illustrates the complexities and opportunities that similar urban ecosystems face. The strategy aligns with global sustainability goals, including the United Nations Sustainable Development Goals [5], the Dubai Clean Energy Strategy 2050 [6], and the UAE’s Net Zero by 2050 initiative [7]. It incorporates technical, financial, and regulatory dimensions to promote operational efficiency, resilience, and long-term sustainability.

To develop this strategy, this article reviews global best practices, theoretical frameworks, including Sustainable Strategic Management (SSM) and Energy Management Systems (EMSs), and national policy directions, particularly those shaped by the UAE’s leadership during COP28 [8]. Special attention is given to enabling technologies, such as artificial intelligence (AI), Internet of Things (IoT), and smart grids, which are essential for efficient energy planning and real-time system optimization [9,10]. This integration of global insights with local realities forms the basis of a scalable, context-specific roadmap.

To structure and evaluate the integration strategy, this study follows a comprehensive methodological framework described in Section 2, which then informs the results presented in Section 3.

1.1. Global Practices in Renewable Energy Integration

The global implementation of renewable energy strategies provides a valuable foundation of best practices that can be adopted to Dubai South’s unique energy profile and its ambitious urban goals. Among the most relevant innovations are smart grid technologies and AI-driven energy systems, which have proven effective in enhancing operational efficiency and energy resilience. For example, ref. [10,11] emphasized the role of AI in improving real-time responsiveness and optimizing grid performance. Such technologies are particularly important in dynamic urban environments like Dubai South, where energy demand fluctuates across residential, commercial, and logistics sectors. AI can facilitate the creation of a responsive, secure, and adaptable energy network capable of meeting variable loads with high reliability and efficiency.

In addition to digital technologies, hybrid renewable energy systems offer critical insights for maintaining supply stability. The authors of [12] highlighted the effectiveness of combining renewable sources with backup storage systems to overcome intermittency challenges. Similarly, ref. [13] discussed how load frequency controllers (LFCs) can be used within hybrid systems to manage frequency fluctuations and prevent disruptions in energy supply. For Dubai South, the integration of such systems, featuring renewable sources, storage solutions, and real-time control mechanisms, can ensure continuous power availability for energy-intensive sectors, like logistics and aviation, even during peak demand.

Case studies from diverse global regions also offer valuable lessons. In Alaska, ref. [14] demonstrated how renewable microgrids can stabilize energy access in remote communities through adaptive, site-specific design. Although Dubai South presents a different urban context, the principles of distributed energy deployment are equally applicable, particularly in expanding logistics zones and new residential developments. Likewise, ref. [15] examined Poland’s approach to incentivizing renewable energy adoption in rural communities. Applying comparable incentive structures in Dubai South could help balance energy investments between high-demand commercial areas and emerging residential zones, fostering equitable and widespread adoption of clean energy solutions.

Finally, policy alignment with global climate initiatives reinforces the long-term success of renewable strategies. The authors of [16] emphasized the importance of integrating local energy goals with international commitments, particularly those articulated during COP28. Dubai South stands to benefit from the UAE’s leadership in these global forums, especially through access to climate finance, carbon capture investments, and renewable energy partnerships. Aligning Dubai South’s roadmap with the UAE’s Nationally Determined Contributions (NDCs) not only advances its clean energy ambitions but also strengthens its role as a model for sustainable, future-ready urban development across the Middle East.

1.2. Theoretical and Strategic Frameworks (SSM, EMS, FSAs, COP28 Alignment)

Developing a robust renewable energy strategy for Dubai South requires the integration of both theoretical and strategic frameworks that address sustainability from operational, economic, and policy perspectives. These frameworks guide decision-making by aligning technological implementation with long-term environmental and economic goals.

Sustainable Strategic Management (SSM), as proposed by [17], provides a model that balances profitability with environmental and social values. This model supports the integration of sustainability into the core of organizational strategy rather than treating it as an external compliance factor. In the context of Dubai South, SSM provides a foundation for combining economic performance with ecological stewardship; an approach that reinforces the city’s identity as a smart, sustainable urban hub.

From a competitiveness standpoint, the concepts of Firm-Specific Advantages (FSAs) and Country-Specific Advantages (CSAs) offer additional strategic insight. The authors of [18] explained how regions that invest in sustainable infrastructure and supportive policy environments gain long-term economic benefits and attract sustainability-oriented businesses. For Dubai South, aligning renewable energy goals with national frameworks enhances its position as a magnet for international investment and a model for clean, innovation-driven development.

On the operational side, EMSs are vital for ensuring that energy production, distribution, and consumption are balanced efficiently in real time. Reference [12] discussed EMS’s role in optimizing energy use, particularly in hybrid systems that incorporate storage. The authors of [19] further developed this approach through the SUNSET model, which employs real-time forecasting and analytics to enhance system adaptability and reduce costs. Incorporating EMS and SUNSET within Dubai South’s energy planning framework supports both flexibility and resilience, especially in high-demand sectors like logistics and aviation.

Strategically, aligning Dubai South’s energy roadmap with COP28 policy directions strengthens the long-term viability and global relevance of its efforts. COP28 has emphasized accelerated decarbonization, renewable energy scaling, and increased climate finance access [16]. Dubai South stands to benefit directly from the UAE’s leadership role in these global initiatives, particularly through national investments in carbon capture, smart grid modernization, and clean technology innovation.

This alignment positions Dubai South not only as a local success story but also as a key contributor to the UAE’s Nationally Determined Contributions (NDCs) and global net-zero commitments. Another study, ref. [20] categorizes strategies into three tiers: Environmental Strategy, Proecological Strategy, and Green Strategy, with each level demonstrating an increasing degree of environmental commitment and complexity (Figure 1).

Together, these theoretical and strategic frameworks (SSM, EMS, FSAs/CSAs, and COP28 alignment) offer a comprehensive basis for building a resilient, efficient, and globally integrated renewable energy strategy for Dubai South. They ensure that energy initiatives are not only technically sound and economically feasible but also socially inclusive and future-oriented.

While many studies have addressed renewable energy in conventional urban settings, few have explored its integration within complex aerotropolis environments like Dubai South. This research fills that gap by analyzing energy needs across a multi-functional urban fabric. It also presents the Dubai South HQ Solar Project as a baseline case, offering empirical insights for scaling clean energy across the city’s districts. The roadmap developed through this study contributes not only to Dubai South’s sustainability goals but also provides a replicable framework for similar cities seeking to align infrastructure expansion with climate resilience and clean energy transitions.

To structure and evaluate the proposed integration strategy, this study adopts a comprehensive methodological framework detailed in Section 2 (Methodology), presents the key findings in Section 3 (Results and Validation), analyzes and contextualizes them in Section 4 (Discussion), and concludes with practical implications in Section 5 (Conclusions).

2. Methodology

2.1. Research Design and Conceptual Framework for Solar Energy Deployment in Dubai South

This study adopts a case-based research design, using the Dubai South Headquarters (HQ) Solar Project (Dubai, United Arab Emirates) as a representative model to inform broader renewable energy deployment strategies across the Dubai South development. Commissioned in 2020, the solar installation was monitored in 2022, a year that reflects stabilized post-pandemic operations and typical energy consumption patterns. This makes 2022 an ideal reference point for evaluating system performance, assessing operational and environmental outcomes, and supporting accurate system sizing and forecasting for future solar integration.

Dubai South, formerly known as Dubai World Central, is a strategically planned 145-square-kilometer city centered around Al Maktoum International Airport, envisioned to become the world’s largest aviation hub. Designed as a free economic zone, Dubai South is subdivided into specialized districts for logistics, aviation, commercial activities, exhibitions (including the Dubai Airshow and Expo 2020 site), residential zones, and humanitarian operations. The city is a core component of Dubai’s 2030 vision, with ambitions to host one million residents and generate half a million jobs. Sustainability is embedded in its development blueprint, making it a suitable environment for piloting scalable clean energy solutions.

The solar project at Dubai South HQ provides a unique lens to evaluate how solar energy systems can be integrated into this multifaceted urban ecosystem. The case study supports the design of a comprehensive deployment strategy by generating insights into technical performance, environmental benefits, financial feasibility, and risk mitigation. The analysis adheres to DEWA regulations for solar integration and aligns with the city’s vision for a low-carbon, smart, and energy-resilient urban environment.

The successful deployment of solar energy in Dubai South requires a conceptual framework that integrates technical, financial, and policy considerations. As a rapidly developing aerotropolis with diverse energy needs across commercial, residential, and logistics sectors, Dubai South demands a structured, scalable approach to solar integration. This framework builds upon national and global policy momentum, especially the UAE’s leadership during COP28, which emphasized decarbonization, renewable energy scaling, and increased climate financing as key pillars of a just and inclusive energy transition [16].

The framework is grounded in three key pillars: technical feasibility, financial viability, and policy alignment. On the technical front, solar PV deployment must adapt to sector-specific load profiles and integrate with smart grid systems. Financially, the model incorporates options, such as solar leasing and Engineering, Procurement, and Construction (EPC) contracts, tailored to optimize cost-effectiveness for different user groups. Policy alignment is ensured through Dubai South’s adherence to national initiatives, like the Dubai Clean Energy Strategy 2050 and the UAE’s Net Zero by 2050 roadmap, which together provide regulatory clarity and investment incentives for solar infrastructure.

COP28 outcomes also reinforce this strategic direction, particularly through commitments to triple global renewable capacity by 2030, double energy efficiency, and mobilize climate finance for emerging economies. These global targets support local efforts, allowing Dubai South to align its solar deployment roadmap with broader climate goals while accessing mechanisms, such as concessional finance and public-private partnerships [21].

The conceptual framework thus provides a blueprint for evaluating solar energy initiatives at scale. It enables the systematic assessment of system performance, return on investment, regulatory compliance, and long-term scalability. Figure 2 illustrates the core components of this framework, linking Dubai South’s sectoral energy profiles with global best practices and national policy instruments.

By anchoring the strategy in this integrated framework, the study ensures that subsequent technical analysis, financial modeling, and implementation plans are coherent, context-sensitive, and guided by both domestic priorities and international climate commitments. This approach creates a solid foundation for transitioning into the methodology section, where the framework is operationalized and evaluated in detail.

2.2. Data Sources and Collection Methods

The methodology leverages data collected from the Dubai South HQ solar plant in 2022, selected for its normalized post-pandemic operations. This study relies on two primary sources of data to evaluate solar PV integration, as explained below and summarized in

Table 1. Primary sources of data used to evaluate solar PV integration.

Data Source	Type of Data Collected	Time Period
Meteocontrol Monitoring System	Energy generation, irradiance, wind speed, temperature, inverter output	January–December 2022
DEWA Utility Records	Electricity consumption (baseline and operational)	2019 and 2022

.

• Meteocontrol Monitoring System (online monitory cloud system): Provided hourly data (1 January 2022–31 December 2022) on energy generation, performance ratio, ambient/module temperatures, wind speed, solar irradiation (GHI), and inverter performance. Distribution losses were calculated as the difference between the inverter output and the grid feed-in meter reading;
• DEWA Consumption Records: Supplied facility electricity demand data. Data from 2019 served as the pre-installation baseline. Data from 2021 was excluded due to COVID-19 operational disruptions. Data from 2022, reflecting stabilized post-pandemic operations, was the primary reference for strategy development.

These sources were selected to ensure reliable monitoring of energy generation, environmental conditions, and electricity consumption within the facility.

Energy generation and environmental data collection focused on the following components (Figure 3):

• Operational and Environmental Impact Assessment: Energy consumption trends, peak loads, and system output were monitored and compared against ASHRAE performance benchmarks for governmental buildings. Emission sensors and water usage trackers were used to evaluate environmental metrics such as carbon reductions and resource efficiency.
• Energy Generation Analysis: Actual versus expected energy generation was analyzed to assess system reliability and alignment with projected demand. This component supports adaptive energy planning and performance optimization.
• Climatic Performance Variables: Given the harsh environmental conditions in Dubai, the system’s response to high temperatures and solar irradiance was examined. This analysis enabled design improvements for resilience and consistent output across varying weather conditions.
• Distribution Losses: Energy losses between generation and delivery to the grid were measured to identify efficiency gaps and inform mitigation strategies.
• Financial Evaluation: A cost-benefit analysis of multiple deployment models, including solar leasing and Engineering, Procurement, and Construction (EPC) contracts, was conducted to determine economic viability and adaptability to diverse stakeholder needs across different districts (residential, logistics, and aviation).
• Risk Assessment: Technical, environmental, and operational risks were identified to enhance system durability and inform contingency planning. This included evaluating potential system vulnerabilities and external threats to energy reliability.

By employing a multi-dimensional evaluation approach grounded in real-world data, the methodology enables a comprehensive understanding of the practical, economic, and strategic considerations essential for scaling solar energy systems in Dubai South and similar urban contexts.

2.3. Energy Resource Assessment (Wind and Solar Potential)

A critical step in developing a viable renewable energy strategy for Dubai South is assessing the availability and suitability of natural resources, specifically wind and solar. A comprehensive resource assessment was conducted. Given the region’s climate and urban context, both energy resources were evaluated for their technical and economic viability. This section presents the findings of resource assessments conducted in 2022, which serve to inform system design, feasibility, and energy offset projections.

2.3.1. Baseline Electricity Demand

Understanding the site’s electricity consumption is essential for evaluating the scale of renewable energy capacity required.

Table 2. Total electricity consumption in 2019 (Source: DEWA Utility Records).

Month	Electricity Consumption (kWh)
January	260,518
February	274,984
March	226,179
April	249,506
May	268,481
June	272,036
July	307,978
August	307,901
September	314,887
October	307,750
November	298,837
December	229,939
Total (kWh)	3,318,996

summarizes monthly electricity consumption data for the Dubai South Headquarters building, as recorded by the Dubai Electricity and Water Authority (DEWA) in 2019. These figures serve as a benchmark against which renewable generation performance, sizing, and potential offset can be evaluated.

The data was used as the baseline for sizing the system before its installation in 2020. It is worth noting that the data from 2021 was excluded since building operations had not yet returned to normal due to the COVID-19 pandemic, leading to irregular energy consumption that did not reflect typical usage patterns. Moreover, the data from 2022 was used as the main reference for strategy development, as it represented a stabilized period of operation post-pandemic and offered a realistic assessment of energy demand.

As shown in Figure 4, the data were collected from the usable rooftop surface area at the Dubai South HQ facility and modeled using Helioscope. This design supports optimal system sizing, panel orientation, and layout design based on shading constraints, panel pitch, and structural limitations.

2.3.2. Solar Energy Assessment

Given Dubai’s high solar irradiance, solar PV emerged as the primary candidate for clean energy deployment. A site-specific analysis was conducted using PVsyst software (version 7.1.7), coupled with field data from a five-sensor setup oriented at cardinal directions (north, south, east, west) and a central sensor; Figure 4. This allowed for real-time tracking of irradiance variation by orientation and time of year. This step was essential for identifying shading obstructions, structural limitations, and orientation constraints, ensuring the system design complied with DEWA’s regulations.

The results from Helioscope provided a starting point for refining the PV system layout before moving on to detailed energy yield simulations in PVsyst. Figure 4 visually represents this assessment, illustrating how the available space was mapped and factored into the system design. Once the initial feasibility was established, PVsyst was used to simulate the system’s energy output), as shown in Figure 5. PVsyst was chosen for its detailed analytical capabilities, allowing the integration of key factors, such as irradiance, shading, temperature effects, and module performance, to provide accurate energy yield estimates.

The simulation results helped fine-tune the design, optimize component selection, and ensure economic feasibility, aligning the project with DEWA’s guidelines while enhancing overall performance. Additionally, full shading analysis was performed in parallel to further accurately estimate the generation. Figure 6 showcases the sun path diagram with the shading analysis of the proposed system. The Iso-shading diagram provides a year-round representation of the sun’s trajectory and potential shading.

Table 3. Estimated solar energy offset calculated in 2019 generated by PVsyst simulation.

Month	Estimated Energy Generation (kWh)	Estimated Offset Against 2019 Baseline
January	96,000	37%
February	101,900	37%
March	130,600	58%
April	144,800	58%
May	163,600	61%
June	158,800	58%
July	149,100	48%
August	146,400	48%
September	130,800	42%
October	120,100	39%
November	102,000	34%
December	89,000	39%

showcases the estimated generation from the Pvsyst simulation vs. the baseline in 2019 and the respective percentage of the estimated offset. The months of April and May show the highest energy generation, with outputs of 144,800 kWh and 163,600 kWh, respectively. This increase is due to the higher solar altitude and cooler temperatures during these months, resulting in longer sun exposure and improved panel efficiency, as higher temperatures typically reduce performance. Similar conditions are observed in regions like Southern Europe (e.g., Spain) and Central Asia (e.g., Kazakhstan), where springtime irradiance and moderate temperatures support strong solar performance. In contrast, Dubai South’s summer months experience reduced efficiency despite high irradiance, due to higher temperatures. Offsets between March and June range from 58% to 61%, reflecting effective system performance under favorable climatic conditions.

2.3.3. Wind Energy Assessment

Although wind energy was initially considered, a year-long analysis of local wind conditions revealed limited feasibility. Wind speed data was collected using a Lufft WS501 BM: RS485-165 (Gutenbergstr. 20, 70736 Fellbach, Germany) anemometer mounted at standard rooftop height to reflect actual deployment conditions for urban microgeneration systems.

As shown in

Table 4. Average wind speeds recorded in Dubai South (m/s) (Source: Meteocontrol web-based user interface, Author’s Data Collection, 2022).

Month	Maximum Wind Speed	Average Wind Speed
January	17.5	2.38
February	14.1	2.13
March	14.1	2.35
April	13.6	2.05
May	14.6	2.73
June	15.1	2.49
July	21.1	2.65
August	12.3	2.2
September	11	2.21
October	11.2	1.9
November	10.4	1.85
December	12.4	1.84

, the average annual wind speed was 2.23 m/s, which falls below the minimum cut-in speed for commercial wind turbines (typically 3–4 m/s). This finding renders wind energy technically unviable for Dubai South, given current turbine technology and urban wind constraints.

The irradiance profile for 2022, Figure 7, reveals a consistent seasonal pattern, with peak values recorded during the summer months, particularly from May to August. A slight but unexpected drop in July’s irradiance is attributed to several days of summer rainfall. In contrast, the lowest irradiance levels occurred during the winter months, November through February, due to reduced solar altitude. Directional sensor data further illustrates how the sun’s angle and position affect irradiance distribution. Notably, the Lufft WS501 BM: RS485-165 sensor, positioned at the center, recorded the highest irradiance throughout the year, highlighting the advantages of unobstructed central placement. Conversely, sensors oriented at 039° and 120° recorded the lowest values during winter, reflecting the impact of lower solar angles in the Northern hemisphere.

These findings offer critical input for optimizing tilt and azimuth angles in PV system design. The assessment also reaffirms that solar PV demonstrates strong technical and seasonal performance. Estimated solar offsets indicate considerable potential to reduce grid reliance, especially during high-demand summer periods. These insights inform the solar deployment strategy presented in Section 2.4, ensuring alignment between resource availability, system design, and long-term energy planning objectives.

While the current analysis confirms that wind energy is not viable at standard rooftop height due to an average wind speed of 2.23 m/s, it is important to acknowledge the potential of future advancements in low-wind-speed turbine technology and high-altitude wind resource exploitation. Although such solutions are not currently economical or aligned with local infrastructure capabilities, Dubai South’s proximity to expansive, unobstructed zones near Al Maktoum International Airport may offer opportunities for re-evaluation in the future. As renewable technologies continue to evolve, particularly in aviation-adjacent environments, these options could become increasingly viable and merit further exploration in long-term strategic energy planning.

2.4. System Design and Technical Architecture

The architectural design of the solar PV system deployed at Dubai South Headquarters reflects a site-specific approach, tailored to local climatic conditions, operational constraints, and regulatory standards. Key system components, including panels, inverters, cables, mounting structures, and monitoring tools, were selected based on their performance under high-temperature conditions and long-term reliability in the region’s arid environment.

Solar panels, as the first component in the PV system, are very critical. They must be able to operate efficiently in Dubai’s climate, where temperatures frequently exceed 45 °C. Since power is the product of current and voltage, any decrease in any factor will result in a lower power output, which is the case in high-temperature instances. Practically, the voltage has a higher impact on the power output in comparison with the slight increase in current; therefore, despite having a positive coefficient of current, the efficiency of solar panels decreases with high temperatures. It is vital to have a comprehensive understanding of the coefficient of voltage, current, and power prior to any decision-making regarding the panel technology.

Studies show that solar irradiance levels in Dubai range from 1384 Wh/m² to 8888 Wh/m², making it an ideal location for solar power generation [22]. However, silicon-based PV modules’ efficiency declines by 0.4% to 0.5% for every degree Celsius increase in temperature [23]. This means that during peak summer, when module temperatures are significantly above standard test conditions (STCs), efficiency losses become unavoidable. To mitigate temperature-induced efficiency drops, various cooling strategies have been explored.

Studies have found that improving airflow around the panels, elevating their mounting structures, or integrating passive cooling techniques, like aluminum heat sinks, can reduce module temperatures by up to 10 °C, leading to an approximate 5% increase in efficiency [24]. Ensuring proper heat dissipation and avoiding panel overheating is essential in optimizing performance under Dubai’s climate conditions. This study incorporates real-time temperature and energy generation data from the Meteocontrol Monitoring System to analyze the impact of high temperatures on panel performance. The findings align with climatological studies in Dubai, reinforcing the importance of designing solar installations that account for both solar potential and temperature effects to maximize system efficiency.

The solar panels are rated under standard test conditions (STCs), which means all parameters are being tested under 1000 W/m² and 25 °C, which is not the case in real life projects; therefore, when the solar panel is exposed to high temperatures, they will experience a decrease in their efficiency, consequently causing power degradation known as temperature-related degradation.

Table 5. Recorded temperature measurements from Meteocontrol monitoring in Dubai South (2022).

Month	Temp. (Lufft WS501 BM: RS485–1 65) [°C]	Temp 1 (Irradiance 210°) [°C]	Temp 1 (Irradiance 300°) [°C]	Temp 1 (Irradiance 039°) [°C]	Temp 1 (Irradiance 120°) [°C]	Temp 2 (Irradiance 210°) [°C]	Temp 2 (Irradiance 300°) [°C]	Temp 2 (Irradiance 039°) [°C]	Temp 2 (Irradiance 120°) [°C]
January	20.26	23.61	23.73	23.14	23.83	21.35	21.4	21.53	21.29
February	20.96	26.11	25.72	25.2	25.96	23.55	23.39	23.51	23.28
March	25.18	31.46	30.64	30.29	30.93	29.24	28.49	28.63	28.71
April	29.07	36.4	35.17	34.8	35.46	33.99	33.18	33.26	33.35
May	30.69	38.67	36.87	37.02	37.37	36.29	35.24	35.26	35.47
June	36.46	42.29	41.33	41.32	41.51	40.61	39.51	39.65	39.95
July	36.05	43.11	42.56	42.61	42.7	41.78	40.95	41.18	41.49
August	36.31	43.16	42.22	42.15	42.38	41.29	40.27	40.42	40.68
September	33.42	39.94	39.29	39.22	39.36	38.32	37.42	37.58	37.8
October	30.05	35.33	35.19	34.56	35.36	33.34	33.06	33.15	33.12
November	27.02	31.31	31.2	30.55	31.36	28.87	28.86	28.81	28.66
December	22.83	26.32	26.53	25.92	26.56	23.86	24.04	24.16	23.8

presents temperature data from January to December 2022. Temperatures increased steadily through the first half of the year, peaking in July at over 41 °C before declining toward winter. Monitoring these patterns helped assess potential thermal stress and the role of panel orientation in heat dissipation.

Almost all solar PV plants operate within the MPPT (maximum power point tracking) point to ensure optimum generation. The maximum power point (MPP) of a solar panel can vary with temperature. The algorithms used by MPPT optimize the solar panel’s operating point for optimum power output. However, extreme temperatures can make reliable tracking difficult. Higher temperatures can increase resistive losses within solar cells and their associated circuits, known as temperature-related losses or thermal losses. The overall resistance of the electrical circuit within the solar panel increases with temperature, resulting in a decrease in electrical performance.

Starting from January, when the lowest average temperature was recorded, the generation was the lowest at 96.13 MWh,

Table 6. Average measure temperature and actual energy generation (Source: Meteocontrol, Author’s Data Collection, 2022).

Month	Average Measured Temperature [°C]	Actual Generation (MWh)
January	22.24	96.13
February	24.19	123.33
March	29.29	158.94
April	33.85	163.62
May	35.88	179.49
June	40.29	169.50
July	41.38	144.70
August	40.99	151.39
September	38.04	140.48
October	33.68	151.39
November	29.63	140.48
December	24.89	129.09

. Then, as the average temperature increases, the generation increases consequently till it peaks in May with a generation of 179.49 MWh, where the temperature is 35.88 °C. Even though the average temperature continues to increase in June and July, the generation drops due to the temperature effect degradation. As the temperature starts to drop again from August to December, the generation remains stable. Other factors that could impact the generation besides the average temperature are sun hours, cloudy days, rainy days, and operational and maintenance tasks.

An inverter is also a component of the solar PV system. The system employs multiple inverters distributed across the PV array, enabling detailed performance tracking. Inverter-level monitoring over 12 months revealed clear seasonal patterns and inter-inverter variability. As shown in Figure 8, energy output was highest between March and May. Inverters Inv3 and Inv5 consistently outperformed others, while Inv4 and Inv6 exhibited moderate output. A downward trend toward the end of the year reflects shorter daylight hours and reduced irradiance. These data support targeted maintenance, inverter selection for future projects, and design modifications to ensure load balancing across system strings.

Another important component to consider before any solar project is the selection of DC and AC cables. Efficient energy transmission depends on proper cable sizing and installation practices. Copper cables insulated for UV exposure were used for DC wiring, while AC cables conformed to DEWA standards. Distribution losses, measured as the difference between inverter output and the utility meter reading, were monitored throughout 2022.

As shown in

Table 7. Distribution losses calculated using Meteocontrol sensor data and utility meter readings (2022).

Month	Distribution Loss (%)
January	1.32
February	1.36
March	1.31
April	1.64
May	1.28
June	1.29
July	1.22
August	1.24
September	1.20
October	1.25
November	1.25
December	1.29

, losses remained generally below 2%, though slight seasonal variation was observed. Elevated losses in summer may be attributed to cable resistance under higher temperatures and partial shading effects. Reducing conductor length, enhancing layout symmetry, and regular thermographic inspections can further reduce these inefficiencies.

The monitoring and integration are also part of the PV system. The solar system includes a high-resolution monitoring platform integrated with the Building Management System (BMS). Using the MODBUS protocol over Ethernet, the system offers 15-min interval string-level monitoring, supported by environmental sensors for irradiance, temperature, humidity, and wind speed. Alerts are automatically issued via SMS or email, and all data is archived for a minimum of one year. This real-time oversight allows early fault detection, performance benchmarking, and operational optimization, all of which are essential in commercial PV deployment.

Mounting structures were engineered to comply with Dubai Municipality guidelines and were constructed from galvanized aluminum and stainless steel to withstand the region’s environmental stressors. Landscape orientation was chosen for panel installation to reduce dust accumulation and facilitate cleaning. The design ensures a 25-year operational life, factoring in static load resistance, seismic compliance, and aerodynamic stress. Panels are elevated a minimum of 90 mm above the rooftop to promote convective cooling, and mounting rails are integrated with waterproofing systems to protect building infrastructure.

Dust accumulation is a major performance constraint in desert climates. To address this, robotic cleaners were installed on dedicated aluminum rails. These robots use microfiber brushes and controlled wet-cleaning mechanisms to maintain panel surface clarity. Cleaning operations are automated and scheduled in alignment with weather data to reduce water usage and energy losses. The system includes a five-year warranty and complies with the warranty conditions of the PV modules.

2.5. Financial and Regulatory Evaluation

Financing solar PV systems remains a critical consideration due to their high upfront capital expenditure (CAPEX) and expertise required for installation and maintenance. In the context of Dubai South, tailored financial models are necessary to accommodate diverse operational requirements across logistics, aviation, commercial, and residential sectors.

Figure 9 outlines the key parameters used in developing these financial models, including client energy needs, risk tolerance, return on investment expectations, and regulatory incentives. A core distinction is made between models emphasizing capital ownership (CAPEX) and those leveraging operational expenditures (OPEX), allowing for flexible adoption based on the financial profile and strategic priorities of each client.

The Solar Lease Model allows clients to access solar energy without incurring upfront investment. Clients pay only for the electricity generated at a pre-agreed tariff, making this model attractive to businesses seeking to preserve capital for core operations. The lease includes maintenance services and is customized based on energy demand and site specifications. Figure 10 compares three tariff scenarios, two based on projected DEWA electricity price trends and one under a solar lease, demonstrating the cumulative cost savings and tariff stability that leasing offers over a 20-year horizon.

In contrast, the Engineering, Procurement, and Construction (EPC) Model is suitable for clients with sufficient financial resources who prefer full ownership. The client finances the system and retains all generated power, benefiting from long-term savings and energy independence. This model is most aligned with the priorities of larger institutions or aviation-sector stakeholders aiming for asset control and cost reduction over time.

A comparative analysis reveals that the Solar Lease Model is particularly beneficial for logistics clients due to its minimal upfront cost and cash flow flexibility. Meanwhile, the EPC Model aligns with aviation or government clients seeking to reduce long-term energy costs through infrastructure ownership. This dual-model approach allows Dubai South to accommodate varied stakeholder needs while advancing broader renewable energy adoption.

Given the strategic location of Dubai South adjacent to Al Maktoum International Airport, solar energy projects must comply with a wide array of regulatory requirements spanning aviation safety, electrical standards, and civil defense protocols. Projects located on or near airside zones require explicit approvals from aviation authorities to ensure that construction, operation, and maintenance activities do not interfere with airport operations.

All electrical works must comply with Dubai Electricity and Water Authority (DEWA) regulations, specifically the Shams Dubai initiative for solar energy integration. Only DEWA-certified professionals are permitted to carry out design, installation, commissioning, and testing of solar PV systems. In addition to DEWA, key regulatory bodies involved include the Dubai Municipality, Trakhees, Dubai South Land Planning Department, Dubai Civil Aviation Authority, RTA, and the Dubai Civil Defense.

The remote DC disconnect requirement imposed by Dubai Civil Defense must be followed. Where DC power enters a building, a shunt trip system connected to a manual call point must allow emergency personnel to isolate the system externally. Alternatively, in cases where remote disconnects are infeasible, a fire-rated cable tray (minimum 30-min rating) must be used to house DC cables up to the inverter, without any intermediate connectors or joints.

Additional requirements include adherence to the UAE Fire & Life Safety Code of Practice, Code of Construction Safety by Dubai Municipality, and National and international standards for solar installation, including IEC and BS norms. Compliance with these multidisciplinary regulations is crucial to ensuring technical integrity, operational safety, and legal authorization across all phases of the project lifecycle.

2.6. System Performance and Environmental Impact

2.6.1. Performance Ratio (PR) Analysis and System Availability

The performance ratio (PR) is a critical metric that evaluates the efficiency of a solar power plant by comparing actual output to theoretical output under standard test conditions. It reflects system losses and helps track operational consistency over time. The PR is calculated using Equation (1).

$${\mathrm{P}\mathrm{R}}_{\mathrm{A}\mathrm{C}\mathrm{T}}={\displaystyle \frac{\mathrm{E}}{\mathrm{G}\mathrm{T}\mathrm{I}\times \mathrm{A}\times \mathrm{M}\mathrm{f}\times \mathrm{T}\mathrm{C}}}$$

(1)

where,

• PR_ACT: Actual Performance Ratio measured in a defined time period (%)
• E: Energy produced (kWh)
• GTI: Global Tilted Irradiance (kWh/m²)
• A: Total PV module area
• Mf: Module efficiency at STC (%)
• TC: Temperature coefficient

Performance Ratio provides information on a solar system’s operational health. When the PR number is around 100%, it means that the system is operating at about full capacity under irradiation circumstances. However, in reality, PR values for PV systems frequently range from 75% to 90% because of several losses, including shading, system degradation, inverter losses, and temperature losses.

Table 8. Performance ratio of Dubai South PV system in 2022. Source: Meteocontrol; author’s data collection, 2022.

Year	Performance Ratio [%]
2020	81.69
2021	81.97
2022	81.83

reports annual PR values from 2020 to 2022, with averages consistently above 81%. This performance is within the industry’s expected range of 75–90%, indicating reliable operation. A slight increase from 81.69% (2020) to 81.97% (2021) suggests marginal operational improvements, while the minor dip to 81.83% in 2022 is within normal variation and may reflect external conditions such as weather or maintenance activities.

System availability is another critical performance indicator, reflecting the percentage of time the system was fully operational. The Dubai South solar system maintained exceptionally high availability throughout 2022, as shown in Figure 11, reaching 100% in several months, including March, May, June, August, October, and December. The lowest availability (98.44%) was recorded in November due to a scheduled shutdown by DEWA.

High availability underscores effective preventive maintenance and operational planning. Even marginal dips below 100% can lead to significant energy losses over time, especially in large-scale systems. Therefore, maintaining near-perfect availability is essential for achieving energy and financial targets.

2.6.2. Thermography Testing and Generation Monitoring

Thermographic imaging, as shown in Figure 12, is employed as a non-invasive diagnostic tool to identify hotspots caused by cell degradation, shading, connection faults, or soiling. These anomalies may lead to localized heating, potentially posing fire risks or reducing output. Periodic thermography enables early detection and correction of these faults, ensuring system safety and sustained energy yield.

By mapping surface temperatures, thermography facilitates targeted maintenance, reduces downtime, and extends system lifespan. Over time, this technique also helps track degradation patterns and verify the integrity of system components post-installation or post-maintenance.

It is important to continuously monitor the performance of the solar plant by comparing the actual generation to the previously estimated generation in the PVsyst simulation. The comparison shall be carried on throughout the lifetime of the project, incorporating the annual degradation percentage. In practice, the first year has a 2% degradation, then, from the second year onwards, the degradation ranges from 0.6–0.7%. This is as per the manufacturer’s datasheets. However, the actual data has recorded a lower percentage in terms of degradation, which means the plant is being operated and maintained against the highest industry and best engineering practices.

2.6.3. Environmental Impact Assessment

A core component of the solar energy deployment strategy in Dubai South is its contribution to environmental sustainability, measured through multiple performance indicators. These include reductions in energy use intensity (EUI), water consumption associated with system cleaning, and carbon emissions offset by solar electricity generation.

The Energy Use Intensity (EUI) metric is used to benchmark the energy performance of the Dubai South Headquarters building. EUI is defined as the total energy consumed per square meter per year and is compared to international standards, such as ASHRAE for government buildings. In 2022, the building’s actual EUI was 162 kWh/m²/year, exceeding the ASHRAE benchmark of 153 kWh/m²/year, indicating above-average energy consumption.

Following the installation of a 1 MWp rooftop solar PV system, the EUI dropped to 100 kWh/m²/year, a 38% improvement in energy performance. This substantial reduction illustrates the system’s effectiveness in offsetting grid electricity demand and highlights the role of on-site renewable energy in enhancing building-level efficiency. Figure 13 presents EUI values before and after the solar system was commissioned.

The environmental impact of solar panel cleaning was also assessed in terms of water consumption. In arid regions like Dubai, water conservation is critical. The wet-cleaning process adopted at Dubai South HQ uses approximately 0.5 L of water per panel per cleaning cycle. This value aligns with industry best practices for minimal water use while ensuring optimal panel performance. Continuous monitoring of cleaning operations ensures that resource use is efficient and environmentally responsible.

In terms of carbon reduction, the contribution of solar energy was quantified using DEWA’s carbon emission intensity benchmarks for the electricity grid. Figure 14 illustrates the annual carbon emission intensity from 2019 to 2022. In 2020, the solar PV system generated 1,448,416 kWh, offsetting 585.30 metric tons of CO₂ (tCO₂) at an intensity of 0.4041 tCO₂/MWh. In 2021, increased generation (1,688,672 kWh) and a slightly higher intensity (0.4293 tCO₂/MWh) resulted in an offset of 724.95 tCO₂. In 2022, generation reached 1,657,568 kWh, with an offset of 668.83 metric tons based on an intensity of 0.4035 tCO₂/MWh. These figures confirm the plant’s substantial role in decarbonizing Dubai South’s energy portfolio.

2.7. Risk Management Framework

A proactive and structured risk management approach was implemented to identify, assess, and mitigate potential risks associated with the planning and operation of the solar PV system at Dubai South. Risks were categorized across five primary domains: technical, environmental, financial, regulatory, and operational.

Table 9. Comprehensive risk register with assessment and response strategies.

Risk Category	Description	Likelihood	Impact	Strategy	Response Strategy
Technical	Equipment failure or underperformance	Medium	High	Mitigate	Implement regular maintenance, warranty agreements, and quality control protocols
Technical	Incorrect system design or component mismatch	Low	High	Avoid	Conduct thorough technical audits and engage certified design engineers
Technical	Degradation of solar panels faster than expected	Medium	Medium	Mitigate	Use high-quality panels with proven durability; schedule periodic inspections
Environmental	Unexpected shading or site changes impacting solar generation	Medium	Medium	Avoid	Perform site assessment with updated GIS tools and maintain clearance zones
Environmental	Extreme weather conditions (e.g., sandstorms) damaging equipment	Medium	High	Transfer	Use weather-resistant mounting and panel coatings; insure assets against damage
Financial	Fluctuating currency exchange rates affecting equipment importation costs	Medium	Medium	Transfer	Lock in supplier contracts with fixed terms; maintain financial buffers
Financial	Delay in funding or investment approvals	High	High	Avoid	Secure financing early and diversify funding sources
Regulatory	Change in local renewable energy regulations	Low	High	Transfer	Maintain continuous communication with DEWA and local authorities
Regulatory	Civil defense or aviation authority delays due to safety protocol updates	Medium	Medium	Avoid	Submit all permits early and consult regulatory updates regularly
Operational	Delay in project execution leading to penalties or cost overruns	Medium	High	Avoid	Establish clear milestones and contingency plans in project management
Operational	Lack of qualified personnel for maintenance and monitoring	Medium	Medium	Avoid	Train internal teams and contract certified service providers

provides a comprehensive overview of the identified risks, encompassing technical issues, environmental factors, regulatory hurdles, and financial uncertainties. Each risk is clearly defined and accompanied by its likelihood, potential impact, and corresponding mitigation strategy, forming a complete risk register and response framework.

Table 10. Roles and responsibilities of key stakeholders in the solar PV integration project.

Responsibility/Area	Project Manager	Technical Team	Finance Team	Operations Team
Overall Risk Management	X
Identification of risks	X	X	X	X
Assessment of risks	X	X	X	X
Technical risks	X	X
Project implementation	X	X
Financial risks			X
Budgeting and financing			X
Operational risks				X
Safety protocols implementation				X
Regular maintenance				X

defines roles and responsibilities across the project team, ensuring clear accountability for risk ownership, monitoring, and resolution. This governance framework is essential for aligning team actions with project objectives and institutional risk tolerance.

Altogether, this risk management framework enhances project resilience, supports compliance, and ensures that Dubai South’s solar energy deployment proceeds securely, efficiently, and sustainably.

3. Results

The implementation of renewable energy strategies across Dubai South’s diverse districts requires a context-sensitive approach. Each district presents distinct energy profiles, regulatory environments, and operational demands. The results of the strategic roadmap development process are presented in three parts: district-level integration, financial and operational analysis, and environmental performance outcomes.

3.1. District-Level Integration Roadmaps (Aviation, Logistics, Residential)

Dubai South’s Renewable Energy Integration Strategy is structured around three district-specific roadmaps (Aviation, Logistics, and Residential). Each tailored to address the distinct energy profiles, operational constraints, and stakeholder needs of its respective zone. While they share a unified planning structure grounded in phased deployment and regulatory compliance, the roadmaps diverge in their technological priorities, financing models, and implementation challenges.

3.1.1. Aviation District

The roadmap for the Aviation District, illustrated in Figure 15, begins with a comprehensive energy audit tailored to the district’s operational criticality and regulatory complexity. Integration planning prioritizes compatibility with existing airport infrastructure and strict adherence to aviation safety protocols, including compliance with the Dubai Aviation City Corporation and DEWA. Due to the district’s high reliability and power quality requirements, the strategy emphasizes smart grid integration, real-time monitoring systems, and fault-tolerant system design. The solar lease model is preferred to expedite deployment while preserving liquidity for aviation operations. Implementation is carefully scheduled to minimize disruption to flight operations and ground services, reflecting the mission-critical nature of aviation activities.

3.1.2. Logistics District

As shown in Figure 16, the Logistics District roadmap starts with a baseline energy demand assessment, focusing on load variability and 24/7 operational patterns typical of warehousing and transport hubs. The strategy introduces distributed generation systems, such as microgrids and battery energy storage solutions (BESS), enhancing resilience against grid disturbances and peak demand surges. Integration with intelligent energy management systems supports load forecasting and real-time optimization. Financing approaches are adapted to suit diverse facility types from refrigerated warehouses through transit hubs to balancing solar leasing and EPC contracts to meet varying capital structures. Regulatory compliance, especially with DEWA’s solar interconnection and safety requirements, is maintained throughout all phases.

3.1.3. Residential District

The Residential District roadmap, depicted in Figure 17, adopts a community-centric approach, emphasizing household-level audits and neighborhood-wide energy planning. The strategy incorporates rooftop solar, modular battery systems, and smart metering infrastructure, designed to align with the architectural constraints and behavioral patterns of residential users. Demand-side management tools and occupant engagement platforms are embedded to promote energy-conscious behavior. Financial mechanisms, including EPC and lease-based models, are selected to accommodate diverse income levels and ownership models. Regulatory coordination with Dubai Municipality building codes and DEWA distribution standards ensures safe and scalable implementation.

Across all three districts, the roadmaps emphasize compatibility with existing infrastructure, stakeholder-specific financing mechanisms, and strong regulatory adherence. Common features include phased roll-out, real-time monitoring, and iterative performance optimization. However, each district exhibits distinct integration challenges and technical priorities, ranging from aviation-critical reliability to logistics resilience to residential engagement, underscoring the need for differentiated implementation strategies within a unified renewable energy framework.

3.2. Financial Viability and Operational Impact

The financial assessment confirms that both solar leasing and EPC models offer viable pathways to expand renewable energy within Dubai South. Solar leases, with minimal upfront costs, are particularly attractive for logistics clients seeking flexible operational expenditure models. EPC frameworks, by contrast, appeal to aviation or institutional stakeholders pursuing long-term energy independence through asset ownership.

From an operational perspective, energy performance improvements are measurable across all sectors. In the Dubai South HQ case study, solar deployment contributed to a 38% reduction in energy use intensity and improved annual performance ratios above 81%. System availability remained above 98%, even with scheduled maintenance events, highlighting robust operational planning. Smart energy systems and thermographic diagnostics contributed to rapid issue detection and reduced downtime, supporting continuous, high-efficiency operation.

3.3. Environmental Outcomes and Risk Mitigation

The integration of solar systems has led to measurable environmental benefits, including significant reductions in grid electricity consumption, carbon emissions, and water use for panel cleaning. Between 2020 and 2022, Dubai South’s solar plant offset over 1978 metric tons of CO₂. Water consumption for cleaning was optimized through robotic systems, maintaining performance while minimizing waste.

From a risk perspective, district-specific risk assessments (detailed in Section 2.7) identified and mitigated potential vulnerabilities, including equipment failure, regulatory changes, and financial exposure. Response strategies included regular maintenance, insurance, and remote monitoring capabilities. Assigning risk ownership through a structured framework (Table 10 in Section 2.7) has further enhanced accountability and resilience.

The results confirm that a district-specific, phased deployment model, supported by tailored financing, integrated technology, and rigorous compliance planning, is both feasible and effective. The strategic roadmaps developed for aviation, logistics, and residential districts offer a scalable framework for other aerotropolis developments seeking to integrate renewable energy while meeting operational, environmental, and financial goals.

3.4. Validation of Methodology Through the Sakany Case Study

To further validate the methodology and assess its adaptability across diverse facility types, the Sakany Solar Plant in Dubai South’s Logistics District was analyzed as a comparative case study. Unlike the HQ project, which represents a commercial office environment, Sakany is a high-density residential labor accommodation complex with continuous energy demands for cooling, lighting, and utilities [25].

Commissioned in January 2023, the Sakany rooftop solar PV system has an installed capacity of approximately 900 kWp, utilizing high-efficiency monocrystalline modules optimized for Dubai’s desert climate. The system incorporates string inverters with advanced MPPT capability and is integrated into the facility’s Building Management System (BMS) for real-time performance monitoring. The installation was completed in line with DEWA Shams Dubai compliance guidelines, ensuring safety, electrical compatibility, and operational resilience [25].

In its first operational year, Sakany generated over 361 MWh of clean energy, offsetting approximately 46% of the landlord’s grid electricity consumption and avoiding over 159 metric tons of CO₂ emissions. Notably, the system surpassed its initial target of a 35% energy offset within just six months, reaching 42% by mid-year. This strong performance demonstrates alignment between design estimations and operational outcomes, validating the accuracy of the conceptual framework’s predictive assessments.

Similar to the HQ project, Sakany’s system performance was influenced by seasonal temperature variations. Meteocontrol monitoring data indicated peak generation during cooler spring months, with efficiency reductions in peak summer due to temperature-induced voltage drops. Despite this, average monthly system availability remained above 98%, underscoring robust operational planning, appropriate inverter selection, and proactive maintenance scheduling.

Financially, the Sakany project adopted an EPC ownership model, enabling the property owner to directly benefit from reduced utility bills and enhanced asset valuation. The financial payback period is estimated at approximately 5.8 years, after which energy savings contribute to net operating income gains. Regulatory approvals were obtained from DEWA and Dubai Municipality, covering fire safety compliance, structural certifications, and electrical inspections [25].

The Sakany case affirms that the renewable energy integration strategy is not confined to office-based installations but is scalable across residential, commercial, and potentially industrial applications within Dubai South. Its success illustrates sustainable strategic implications.

In terms of scalability and financial feasibility, the roadmap proved applicable across sectors with diverse demand profiles. The case also demonstrated the attractiveness of direct ownership models in residential developments. Environmentally, Sakany contributed significantly to Dubai South’s decarbonization goals through notable CO₂ reductions. Overall, these outcomes reinforce confidence in the methodology’s predictive capabilities, including resource assessment accuracy, performance forecasting, and regulatory navigation.

This validation strengthens the credibility of the proposed roadmap for broader deployment throughout Dubai South and similar aerotropolis environments globally. Future applications may explore integrating battery energy storage systems (BESSs) to increase renewable utilization rates and further reduce grid dependency, supporting Dubai’s Clean Energy Strategy 2050 and the UAE Net Zero by 2050 targets.

4. Discussion: Contextualizing the Results Within Dubai’s Renewable Energy Goals

4.1. Progress Toward Strategic Goals and Sector-Specific Outcomes

The findings of this study are contextualized within Dubai’s broader renewable energy ambitions, particularly the Dubai Clean Energy Strategy 2050 and the UAE Net Zero by 2050 initiative. The ambitions pledge the emirate to sourcing 75% of its energy from renewables by mid-century. These strategic reflect a strong national commitment to decarbonization and sustainable development. The Dubai South HQ and Sakany case studies exemplify measurable progress toward these goals through robust energy offset performance, financial viability, and comprehensive regulatory compliance.

The conceptual framework for solar energy deployment enabled a systematic evaluation of technical feasibility, financial mechanisms, and policy alignment. Notably, the Dubai South HQ project achieved a 38% reduction in EUI alongside consistent performance under high-temperature conditions, as verified through detailed Meteocontrol monitoring. The Sakany case further validated this framework within a high-density residential context, achieving a 46% energy offset and avoiding over 159 tons of CO₂ emissions in its first year. Together, these outcomes emphasize the framework’s adaptability and scalability across different urban sectors, supporting Dubai’s transition to a low-carbon energy system.

Moreover, the solar resource assessment, particularly the irradiance profiling, sun-path analysis, and temperature impact evaluations, confirmed optimal siting and design decisions based on Dubai’s high solar potential. This evidence-based siting strategy is critical in desert environments, where excessive heat and dust accumulation pose operational challenges. The consistently high system availability and energy generation across both case studies confirm that solar PV is not only technically feasible but also operationally robust in Dubai’s climate. Collectively, these installations currently offset approximately 1.2% of Dubai South’s total annual electricity demand, with technical and spatial potential to scale this figure to over 25% through additional rooftop and solar farm development. This directly contributes to achieving Dubai’s 75% renewable energy target by 2050.

Financially, the tailored application of solar lease and EPC models revealed the importance of context-specific deployment strategies. While logistics clients benefited from the lease model’s reduced upfront costs and operational flexibility, aviation and residential sectors demonstrated readiness for long-term investment under EPC models. These financing models directly align with COP28 priorities, including tripling global renewable capacity and improving climate finance access. By lowering upfront cost barriers and promoting performance-based adoption, the financial strategy supports inclusive renewable energy diffusion in line with both local policy and global sustainability agendas.

From a regulatory perspective, both case studies complied with regulatory standards, including DEWA’s solar interconnection requirements, Dubai Civil Defense fire safety codes, and aviation-related design approvals. Tools like Helioscope and PVsyst, combined with real-time monitoring via Meteocontrol’s, enhanced operational transparency and long-term system reliability. These examples confirm that complex, multi-functional urban zones can integrate renewable energy without compromising safety or functionality.

4.2. Challenges to Technological Diffusion and Future Directions

Despite the promising results, several practical challenges remain for advancing next-generation technologies such as AI-powered energy management systems, battery energy storage solutions (BESS), and predictive analytics. For example, high capital costs remain a significant barrier, especially for battery storage and AI-enabled systems, which often require substantial upfront investment and advanced digital infrastructure. This is particularly constraining in commercial and logistics sectors where return-on-investment (ROI) horizons are closely monitored.

Another challenge lies in the operation and maintenance (O&M) of these systems under Dubai’s extreme environmental conditions. Prolonged exposure to high ambient temperatures often exceeding 45 °C and airborne dust can degrade the performance of sensitive electronics and storage batteries, increasing the frequency of maintenance and shortening system lifespans. These environmental stressors must be considered when selecting and designing future components.

In addition, interoperability concerns arise when integrating smart energy solutions into legacy building systems or mixed-use facilities. Many existing installations lack the digital architecture needed to support seamless communication between components, creating risks of inefficiency or system failure during retrofitting.

To address these barriers, the roadmap proposes phased deployment strategies that allow gradual scaling based on performance feedback and evolving cost structures. Public–private partnerships (PPPs) are also encouraged to share financial risk and attract investment into innovative energy infrastructure. Moreover, regulatory sandboxing, already being piloted in the UAE, can offer a controlled environment to test new technologies under real-world conditions without exposing critical infrastructure to unproven solutions.

Together, these mitigation strategies will be essential for overcoming the practical limitations to future technology adoption, ensuring that Dubai South’s energy systems remain adaptive, resilient, and aligned with long-term sustainability goals.

In terms of implications and future considerations, the results validate that Dubai South’s strategy can serve as a model for broader adoption across aerotropolis developments and emerging urban clusters. However, as energy demand grows and targets tighten, further attention must be given to storage integration, grid stability, and advanced forecasting. The deployment of AI-powered energy management systems, while promising, faces challenges related to cost, interoperability, and high-temperature reliability. These technological barriers, along with regulatory bottlenecks and financing gaps, must be systematically addressed through future iterations of the integration roadmap.

In conclusion, the findings of this study reinforce the feasibility, scalability, and policy alignment of solar energy strategies in Dubai South. They illustrate how tailored technical, financial, and governance mechanisms can work in synergy to accelerate Dubai’s renewable energy transition, offering a transferable model for similar urban ecosystems in the MENA region and beyond.

5. Conclusions

The Renewable Energy Integration Strategy for Dubai South provides a practical and structured approach to embedding renewable energy within urban development. By integrating solar energy solutions across residential, logistics, and aviation sectors, this strategy aligns with Dubai’s broader sustainability goals while offering a replicable model for other urban districts. The Dubai South HQ Solar Project has played a critical role in shaping this strategy, offering real-world insights into energy generation, cost savings, and carbon reduction. The project’s ability to achieve an annual clean energy offset of nearly 50% and reduce 668 metric tons of CO₂ emissions demonstrates both its financial feasibility and environmental impact.

Further validation through the Sakany Solar Plant highlights the strategy’s adaptability, with the residential project achieving a 46% reduction in grid reliance and exceeding its projected performance. These findings confirm that solar integration can be effectively scaled across commercial, logistics, and residential sectors when guided by a structured, data-informed methodology.

To advance this success, future efforts should prioritize enhanced energy storage integration, grid stability, and predictive maintenance using AI and IoT technologies. Policy enhancements, such as incentive mechanisms and streamlined permitting, will be critical in driving broader private-sector engagement. Continuous monitoring, performance optimization, and stakeholder training will also be essential in maintaining efficiency and aligning with evolving regulatory and climate targets.

In summary, this study offers a validated, flexible, and forward-looking blueprint for solar energy integration in emerging aerotropolis cities. By combining rigorous technical planning with financial and regulatory foresight, Dubai South is positioned as a global exemplar in sustainable urban development, paving the way toward cleaner, more resilient, and energy-independent cities.

While this study provides a validated and scalable framework for renewable energy integration in aerotropolis settings, several limitations and future opportunities should be acknowledged. First, the findings are based on two case studies within Dubai South, and while diverse, broader application in different climatic, economic, or regulatory contexts may require further adaptation. Second, the integration of energy storage and AI-based management systems remains conceptual at this stage. Future research should focus on evaluating the economic feasibility, interoperability, and operational performance of such technologies under high-temperature urban conditions. Furthermore, additional work is needed to model grid-level interactions, assess dynamic pricing impacts, and evaluate the long-term reliability of distributed renewable energy systems in mixed-use districts. Addressing these areas will enhance the robustness and transferability of the proposed strategy, supporting more resilient and efficient energy transitions in similar urban environments.