Comprehensive Assessment of the Impact of Green Roofs and Walls on Building Energy Performance: A Scientific Review
Abstract
:1. Introduction
2. Historical Context
3. Green Roofs
3.1. Green Roof Introduction
- Vegetation, the topmost layer, is where various plants and vegetation are planted. The success of a green roof is linked to how healthy the plantations are. Its benefits heavily depend on the chosen plant species, as they boost water and air quality and thermal performance by reducing heat through the process of evapotranspiration. This process involves the transfer of water from the soil and plants to the atmosphere, combining both evaporation and transpiration. Evapotranspiration actively cools the surrounding environment, as heat energy is used to convert liquid water into vapor, reducing the ambient temperature. Research has shown that this cooling phenomenon can lower the surface temperatures by up to 30–40 °C on green roofs and reduce ambient air temperatures by up to 5 °C. By mitigating the urban heat island effect and reducing reliance on air-conditioning, the vegetation layer contributes significantly to energy savings and enhances the overall thermal comfort of metropolitan areas. Not only does the vegetation contribute to the visual appearance of the green roof, but it also prevents substrate erosion and protects diverse animal species, notably arthropods and birds. When selecting vegetation, it is essential to consider climate conditions, including factors such as rainfall intensity, humidity, wind, and solar radiation. Since extensive green roofs are the most common, its associated plants are shallow and drought-tolerant; thus, they are best suited to temperate, Mediterranean, and semi-arid climates, since plants like sedums, succulents, and grasses can thrive with minimal water, handle moderate temperature fluctuations, and survive occasional droughts. Extensive green roofs perform well in moderate humid conditions ranging from 30% to 60%. The characteristics of the substrate’s mixture in terms of pH, salinity, and nutrients are also directly linked to the choice of plants. Recently, many efforts have been put into identifying appropriate plant species tailored to specific soil depths. Since extensive green roofs are more commonly installed, the categorization of plant species for them is outlined as follows.
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- For depths between 0–5 cm, sedum, mosses, and lichens are recommended.
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- Within the 5–10 cm range, optimal choices include short-wildflower meadows, long-growing, drought-tolerant perennials, grasses, alpines, and small bulbs.
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- Ranging from 10–20 cm, a blend of low or medium perennials, grasses, bulbs, and annuals adapted to dry habitats, along with wildflowers and hardy sub-shrubs, is preferred.
- The growing medium, or the substrate layer, is designed to retain water, give nutrients, and provide optimum aeration for plant roots needed to ensure their biological functions’ well-being. In addition, it offers space for the roots to grip and strengthen to overcome the wind force and other rough climatic conditions on the rooftops. Soil is the most used natural growing medium. The thickness and mass of the substrate are liable to the type of vegetation, roof structure, prevailing climatic conditions, and the chosen irrigation approach. During rainfall, specific substrates, like soil that contains clay and other organic particles, experience rapid saturation, increasing their weight. Typically, the substrate weight ranges between 12–14 kg/m2 and 600 kg/m2, with an 8 cm thickness for extensive green roofs and a 50–60 cm thickness for intensive green roofs. A substrate that is 5–15 cm deep supports a range of plants in regions with 600–1200 mm of annual rainfall. In high-humidity areas, substrates are designed to handle higher moisture; therefore, water-retentive substrates are used, with moisture content around 30–60% by volume, while in low-humidity areas, regions with less than 250 mm of annual rainfall, substrates act on moisture retention and often include materials like expanded clay or pumice with up to 70% moisture retention.
- Filter layer fabric, positioned atop the drainage layer, acts as a separation medium between the substrate and the drainage layer. This aims to prevent and avoid the penetration of smaller particles from entering and clogging the drainage layer. Additionally, it aids in filtration as it traverses through the various layers, ensuring a well-maintained and effective drainage system. It has tiny pores that cause high water permeability, at least ten times higher than the substrate’s. To ensure the choice of the filter layer, it must be characterized by specific criteria such as the ability to withstand the weight overhead and punching resistance (>1.100 kN), its tensile strength must be greater than 7.0 kN, its effective pore opening should oscillate between 0.10 and 0.20 mm, and its deformation to the longitudinal operating load and the transverse working load must be lower than 60%. Finally, it should be resistant to aggressive agents. This layer usually employs two common materials: granular material and non-woven geotextiles.
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- Granular materials, including pozzolana, pumice, lapilli, expanded clay, perlite, slate, and crushed bricks, exhibit water permeability exceeding 0.3 m/s.
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- Non-woven geotextiles, such as polymeric fibers or polyolefins, having a water permeability of more than 0.3 cm/sl × 10−3 m/s, can absorb 1.5 L/m2 of water. These materials are used to manufacture thin and light filter layers regularly.
- The drainage layer beneath the filter layer makes water available to plants through capillary action to support evapotranspiration and plant health. The green roof has water retention ability; thus, keeping empty spaces between the layers is vital to facilitate the excess water flow out of the roof structure. Simultaneously, the drainage layer helps to remove excess water, decreasing the risk of water leaks, thus bypassing the oversaturation of the substrate and root zone and reducing waterlogging efficiently to provide a suitable equilibrium between water and air, ensuring adequate ventilation for the roots. This balance maintains optimal moisture for vegetation while preventing water accumulation that can damage plant roots or reduce the roof’s thermal and insulating properties. Since water adds extra weight to the roof assembly, evacuating water professionally decreases the load on the structure and minimizes the risks of mechanical degradation and breakdown. Moreover, the drainage layer safeguards the waterproof membrane and improves the thermal performance of the green roof. By filling it with a minimum of 60% air, the correct conditioning of this layer preserves the vegetation and prevents its deterioration. It is usually suitable in moderate climates with 500–1000 mm of annual rainfall. Regarding humidity, it is designed to handle low to high precipitation rates: the typical drainage layer thickness is 2–5 cm, which is sufficient for regions ranging from 250 mm to 1200 mm of annual rainfall, thus ensuring rapid water removal to prevent excess retention. Again, the materials for this layer depend on the type of green roof, climate, and roof assembly. The two universal materials used are as follows.
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- Granular materials should have a minimum thickness and density of 6 cm and 150 kg/m3, respectively. When porous, these materials can also serve as water storage. Some of the frequent granular materials are expanded clay pozzolana, pumice, expanded perlite, lapilli, expanded slate, and crushed bricks.
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- Modular panels weigh approximately 20 kg/m2, and their thickness falls within 2.5 to 12 cm. Constructed from robust synthetic or plastic materials, such as polyethylene or polystyrene, these panels feature cavities designed for water storage while ensuring adequate drainage of excess water.
- The protection layer is above the waterproofing membrane and acts as a separation and protection layer. It is typically added for supplementary protection to the waterproofing and anti-root membrane. Due to its ability to endure loads and stresses during the construction, installation, maintenance, and operational phases, it is installed to shield the underlying layers and prevent damage to the waterproofing membrane. Generally, this layer’s materials are geotextiles, polystyrene, or geogrids with a thickness of 3 mm or more and a compression resistance of at least 150 kPa. These materials can collect water that the vegetation will use during drought periods. Even though they are added for more support for the green roof, they do not replace the anti-root membrane.
- Waterproof and anti-root membrane: the primary role of the waterproof membrane is to shield the building from potential infiltration due to the elevated water content in the upper layers, making it a crucial element in green roof technology. Concurrently, the vegetative roof protects the waterproof membrane, mitigating the impact of temperature fluctuations and solar radiation factors that can lead to the deterioration of the membrane’s performance. The waterproofing membrane’s design closely resembles that of a conventional roof. Nevertheless, in contrast to a traditional roof, the waterproofing membrane in a green roof is shielded from UV rays, thermal variations, and hail. This membrane may be exposed to biological and chemical agents present in the substrate and vegetation. For the waterproof membrane, bituminous flexible membranes are the most common and can be broken down into three types: elastomeric membranes, plastomeric membranes, and elasto-plastomeric membranes. These bituminous membranes can be laid and installed as a monolayer or double layer of three- or four-millimeter thickness. These membranes have different characteristics and behaviors. Still, the compound, the glass or polyester reinforcement, and the protective surface finish realize a typical stratigraphy. These membranes exhibit diverse characteristics and behaviors, yet they share a standard stratigraphy composed of the compound, glass or polyester reinforcement, and the protective surface finish. The role of the anti-root membrane is inevitable, as the aggressive capacity of the root system must not be underestimated. Its primary purpose is to protect the waterproof membrane and the roof’s structural integrity against the intrusion of vegetative roots from the upper layers. The plant’s roots must not be underestimated, as they have the potential to cause mechanical disturbances and chemical alterations to the waterproofing membrane. Consequently, incorporating an anti-root layer is imperative in green roof construction, with it being integrated into the waterproofing membrane in nearly all instances. This layer’s main characteristics and materials resemble those of the waterproofing membrane. On the contrary, the anti-root membrane must have high resistance and be adapted to microorganisms contained in the soil, which is achieved by adding repellent ingredients to the chemical composition of the anti-root membrane. It usually has a thickness of around 4 mm and is positioned with hot-air welding or a chemical solvent. A general misconception is using concrete as an anti-root barrier. This is not possible, as over time, the roots will eventually attack the concrete layer, making it very difficult to maintain the waterproofing membrane. In general, the waterproofing membrane serves in hot, moderate, and extreme climate conditions, with temperatures ranging between 20 °C and 40 °C in summer and −20 °C and 15 °C in winter, depending on the material. In terms of humidity, these membranes serve well and are effective in moderate to high rainfall and humidity.
- In some green roof designs, an insulation layer is introduced to establish thermal resistance and enhance energy efficiency. The leading role of this layer is to regulate the temperature inside the building by decreasing heat loss in cold months and cutting heat gain during warm periods. It is introduced below the growing medium and vegetation layers. The typical insulation materials for a green roof system are extruded polystyrene (XPS), rigid foam boards, expanded polystyrene (EPS), and mineral wool. The location of the building, the climatic conditions, and building codes direct the choice of material and the thickness to be used. The insulation layer contributes to the building’s overall sustainability and energy performance.
3.2. Green Roof Types
3.2.1. Intensive Green Roofs
3.2.2. Semi-Intensive Green Roofs
3.2.3. Extensive Green Roofs
3.3. Green Roof Energy Performance Benefits
3.3.1. Building Energy-Saving Benefits
3.3.2. Green Roof Modeling and Experimental Testing
4. Vertical Greenery Systems
4.1. Introduction to Vertical Greenery Systems
4.2. Types of Vertical Greenery Systems
4.2.1. Green Facades
4.2.2. Living Wall Systems (LWSs)
4.3. Impact of Green Walls on Energy Performance
4.3.1. Green Wall Building Energy-Saving Benefits
4.3.2. Green Walls Modeling and Experimental Testing
5. Discussion
6. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Abbreviations
ANFIS | adaptive neuro-fuzzy inference system |
BREEAM | Building Research Establishment Environmental Assessment Methodology |
CO2 | carbon dioxide |
CSMP | continuous system modeling program |
DB | DesignBuilder |
BEE | buildings’ energy efficiency |
ETTV | envelope thermal transfer value |
EU | European Union |
EPS | expanded polystyrene |
GBL | Green Building Label |
GRs | green roofs |
GHG | greenhouse gas |
LEED | Leadership in Energy and Environmental Design |
LAI | leaf area index |
LWS | living wall system |
ML | machine learning |
NZEBs | nearly zero-energy buildings |
TIR | thermal infrared |
3DPC | three-dimensional point cloud |
UK | United Kingdom |
UN | United Nations |
USA | United States of America |
UHI | urban heat island |
VGS | vertical greening system |
XPS | extruded polystyrene |
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Extensive Green Roofs | Semi-Intensive Green Roofs | Intensive Green Roofs | |
---|---|---|---|
Maintenance | Low | Periodic | High |
Irrigation | No | Periodic | Regular |
Plant Species | Moss, Sedum, Herbs, Grasses | Shrubs, Herbs, Grass | Lawns, Shrubs, Trees |
Height (mm) | 60–200 | 120–250 | 150–400 |
Weight (kg/m2) | 60–150 | 120–250 | 180–500 |
Costs | Low | Intermediate | High |
Energy Saving | Reduces cooling energy use by 20–40% and heating energy use by 10–15% | Reduces cooling energy use by 30–50% and heating energy use by 15–25% | Reduces cooling energy use by 40–60% and heating energy use by 20–30% |
Climatic Area | - Temperature: Moderate climates with temperature ranges between 5 °C to 25 °C - Humidity: Moderate to low humidity. | - Temperature: Temperate climates and some extreme conditions, with temperature ranges of −5 °C to 30 °C. - Humidity: Moderate to high humidity | - Temperature: Moderate to extreme temperatures from −15 °C to 40 °C - Humidity: Both high and low humidity |
Authors/Publication Year | Model/ Software | Location | Climate/ Period of Study | Advantages/Limitations | Building Energy Performance | Ref. |
---|---|---|---|---|---|---|
Niachou et al., 2001 | Mathematical model | Greece | Summer | Advantages: Evaluation of the GR thermal properties through experimental and mathematical measurements. Calculation of the GR total energy-saving consumption of buildings. Analysis in both indoor and outdoor environments to assess microclimate effects. Uses computational codes and numerical simulation models to study thermal performance. Limitations: Specific location and building type, potentially limiting generalizability. A specific set of scenarios for night ventilation which may not fully represent real-world conditions. | In scenarios without night ventilation, heating energy savings in buildings with non-insulated roofs ranged from 9% to 45%. Cooling loads showed no savings in well-insulated buildings but up to 45% in non-insulated ones, with total yearly savings between 2% and 44% depending on insulation and scenarios. Introducing night ventilation significantly increased summer energy savings, hitting 54% to 61% in non-insulated and 9% to 12% in moderately insulated buildings. | [70] |
Capozzoli et al., 2013 | Mathematical approach | Torino, Italy | Summer | Advantages: Simplified methodology for GR configuration energy evaluation. Defining GR dynamic thermal inertia as a simplified thermal parameter. Evaluating design variables through a sensitivity analysis. Implementing the FASST model in EnergyPlus for numerical analysis. Limitations: Lack of information on GR soil compositions and characteristics, as well as vegetation characteristics that influence the energy behavior of GR. Focus on the thermal behavior during the summer period, potentially neglecting seasonal variations. The impact of moisture levels in soils on energy performance has not been thoroughly evaluated. | - | [79] |
Sailor 2008 | EnergyPlus building energy simulation | Florida | Local weather conditions | Advantages: Method for assessing the energy performance of GRs and assisting in the design process. Accounts for the effects of the drainage layer. The model was validated using data from a detailed field study in Florida, and prior versions of EnergyPlus were consistently reproduced. Limitations: The study is limited to the savings from air-conditioning in summer, and more comprehensive design tools that consider other factors and seasons are needed. The study enabled only a single GR construction, limiting its applicability to buildings with multiple roof constructions. The model does not clearly model sensitivity to parameters like soil thickness, vegetative cover, and irrigation. | - | [80] |
Del Barrio 1998 | Mathematical model | Athens | Summer | Advantages: The model provides a simplified representation of the dynamic thermal behavior of real GRs. It allows for the analysis of the cooling potential of GRs in summertime. Limitations: The model assumes a homogeneous layer for the canopy, which may oversimplify the actual spatial complexity and heterogeneity of foliage. It may not fully capture the turbulent nature of airstreams within and above a canopy, leading to potential inaccuracies in predicting energy and mass fluxes. | - | [81] |
Frankenstein et al., 2004 | FASST (fast all-season soil strength) model/1D dynamic state-of-the-ground model | - | Winter—cold snowy weather | Advantages Comprehensive one-dimensional dynamic state-of-the-ground model FASST. Accounts for various factors affecting energy and moisture in vegetation canopies. Accounts for canopy energy dynamics, longwave and shortwave fluxes, interactions between different canopy layers, and sensible canopy heat and evapotranspiration flux calculations. Limitations: Accounts for surface conditions measurements only. Specific vegetation type (broadleaf deciduous) and mean canopy density. | - | [82] |
Kumar and Kaushik 2005 | Fast Fourier transform (FFT) techniques in MATLAB + Newton’s iterative algorithm. | Yamuna Nagar, India | Summer (May–June) | Advantages: Comprehensive set of experimental data was used for verification of the model. Incorporation of parametric variations in thermal components of GRs. Coupling the GR model with the building simulation code for a more holistic analysis. Validation of simulated results with experimental data showing good accuracy. Limitations: Restricted applicability of the GR model to specific buildings due to localized experimental data. Need for the specification of specific parameter values according to building specifications. | An increased LAI, a peak reduction of 9.3 °C in canopy air temperature, was observed over a cycle of 8 days: 1–8 June. The peak canopy air temperature and temperature width were both reduced as LAI increased, leading to a significant reduction in fluctuations from 11.6 °C to 3.6 °C with an increase in LAI from 0.5 to 3.5. A combination of the GR and solar thermal shading reduced the indoor air temperature by an average of 5.1 °C compared to a bare roof. The GR alone provided a cooling potential of 3.02 kWh per day, which is adequate to maintain a room air temperature of 25.7 °C. Integration of the GR showed energy savings in terms of reduced indoor air temperature by an average of 7.2 °C. | [83] |
Ouldboukhitine et al., 2011 | Heat- and Mass-Transfer Model | La Rochelle, France | Summer–winter | Advantages: A detailed thermodynamic model that incorporates energy balance equations for foliage and soil media, allowing for a thorough analysis of GRs’ thermal behavior. The model was validated using experimental data collected from a dedicated platform at the University of La Rochelle, enhancing its reliability. Parametric analyses evaluate the influence of various parameters on the model output, providing insights into how different conditions affect the performance of GRs. Limitations: Validated based on specific weather data from La Rochelle, France. | - | [85] |
Alexandri and Jones 2008 | Two-Dimensional, Prognostic (Dynamic) Micro-Scale on C++ Software | London, UK | July—Temperate | Advantages: Use of a two-dimensional, prognostic micro-scale model allows for a detailed quantitative assessment of heat and mass transfer in urban canyons. Examination of various urban geometries and climates. Targets the heat island effect, a significant urban issue, and demonstrates how green infrastructure can mitigate this problem. Incorporation of various factors such as wind direction, solar radiation, and the hydrothermal properties of materials. Limitations: Based on typical days in the hottest months, which may not capture the full range of temperature variations throughout the year or during extreme weather events. | Energy savings range from 35% to 90%, depending on the specific conditions of the urban environment. In Riyadh, maximum temperature reductions can reach up to 11.3 °C, while the daytime average can decrease by 9.1 °C for the green-all case. A 90% decrease in cooling load with a reduction from 12 h to 5 h of cooling demand. In London and Moscow, reductions ranged from 1.7 °C to 2.1 °C. In Montreal, the cooling load decreased by 85%. In Mumbai, the cooling load decreased by 72%. | [87] |
Montreal, Canada | July—Subarctic | |||||
Moscow, Russia | July—Continental Cool Summer | |||||
Athens, Greece | July—Mediterranean Climate | |||||
Beijing, China | June—Semi-Arid or Continental Climate | |||||
Riyadh, Saudi | July—Desert | |||||
Hong Kong, China | July—Humid Subtropical | |||||
Mumbai, India | May—Rainforest | |||||
Brasília, Brazil | September—Savanna | |||||
Feng et al., 2010 | Energy Balance Model | Guangzhou, China | July—Summer | Advantages: Energy balance of extensive GR. Development of an energy balance model that requires only eight parameters to understand and predict energy flows and balance Validation through field experiments conducted on a sedum linear GR. Limitations: The model does not consider conditions with precipitation, temperature drops, or humidity as a result of the dew. | On a summer day, the soil was rich in water content; solar radiation accounted for 99.1% of the total heat gain of a sedum linear GR, while convection made up 0.9%. Regarding dissipated heat, 58.4% was lost through evapotranspiration of the plant–soil system, 30.9% by the net longwave radiative exchange between the canopy and the atmosphere, and 9.5% by the net photosynthesis of plants. Only 1.2% of the heat was stored by plants and soil or transferred into the room beneath. | [88] |
Tabares-Velasco et al., 2012 | Quasi-Steady-State Heat- and Mass-Transfer Model | - | - | Advantages: Validated through experimental data collected under controlled conditions. A heat- and mass-transfer model for GRs that can assess their thermal performance. Limitations: The validation process highlighted that differences in variables were outside experimental uncertainty for most variables, except for surface temperatures. The study initially considered a GR without plants, representing a worst-case scenario that may not reflect typical conditions of established GRs. | - | [89] |
Djedjig et al., 2012–2013 | Finite Difference Methods+ TRNSYS | La Rochelle, France | Oceanic Climate | Advantages: High accuracy, as the model demonstrated a mean temperature prediction error of only 0.8 °C, with 80% of computed temperatures closely aligning with experimental measurements, showcasing its reliability over 19 days. Incorporation of water availability in the soil, thus leading to an effective evapotranspiration calculation. Consideration of the thermal inertia of various components of the GR. Analysis of heat- and mass-transfer mechanisms on both foliage and soil surfaces. Parametric studies analyze how variables like water content and structural inertia affect surface temperatures. Validated against data from a one-tenth-scale experimental model. Limitations Dependent on accurate measurements of water content in the substrate. The experimental validation was conducted on a small scale (one-tenth). Validated based on specific weather data from La Rochelle, France. | GRs offer significant energy savings through improved thermal insulation and reduced solar heat gain, reducing it by 70–90% during summer months and decreasing heat loss by about 10–30% in winter. A surface temperature difference of up to 25 °C was recorded between GRs with varying moisture levels. A saturation ratio of 50% maintains surface temperatures below 35 °C. A reduction in annual energy consumption due to GRs can range from 0.6% to 14.5%, particularly impacting the top floors of buildings. | [90,91] |
Athens | Mediterranean Climate | |||||
Lazzarin et al., 2005 | TRNSYS Simulation | Italy | Summer August and September of 2002 and June and July of 2003. | Advantages: Experimental measurements and numerical modeling of a GR highlighting its energy-saving and pollution-reducing potential. Evaluates the passive cooling effect and enhanced insulating properties of GRs during both summer and winter seasons. Limitations: Highlights the limited resources of experimental work and accurate analytical models in existing research that explain the evapotranspiration phenomenon. Evaluates the potential of GRs in reducing cooling and heating loads, but lacks extensive data on long-term performance and reliability in different geographic zones. | During summer, the thermal load of the rooms underneath decreased by about 60% compared to a traditional roof with an insulating layer. The GR’s evapotranspiration process played a crucial role in passive cooling. It allowed for a slight outgoing thermal flux during winter, resulting in a 40% higher outgoing flux compared to high solar-absorbing and insulated roofing. During winter, the thermal gain entering the rooms underneath was reduced by 60%, showcasing its enhanced insulating properties in comparison to traditional roofing with an insulating layer. | [92] |
Winter February to March 2004 | ||||||
Moody and Sailor 2001 | EnergyPlus Simulation | Portland, Oregon | Winter Spring Summer | Advantages: The introduction of the dynamic performance metric (DBGR) is a new metric that evaluates GRs’ performance by comparing HVAC energy use with that of green and conventional roofs. This metric accounts for the dynamic, time-varying nature of GR energy performance, making it more applicable to real-world scenarios. Multi-climate evaluation in four various climates (Atlanta, Chicago, Portland, Houston) offers insights into how GRs perform in different environmental conditions. Comprehensive energy simulation using the EnergyPlus simulation, the model incorporates various factors affecting GR performance, such as thermal storage, evapotranspiration, and radiative shielding. Validation using field data from a GR test facility in Portland, Oregon, enhancing its reliability and accuracy when applied to real-world buildings. Limitations: The model does not consider conditions with precipitation, temperature drops, or humidity as a result of the dew. Fixed soil moisture due to limitations in the EnergyPlus software. GR design specificity includes the thickness of the soil layer, the type of vegetation, and soil moisture content. Climate-specific limitations: The model showed a net energy consumption penalty in cooler locations, indicating that GRs may not always be beneficial in certain climates due to increased heating demands during shoulder season. | In Portland’s winter, the DBGR was 1.02, indicating a slight improvement (2%) in energy performance due to the GR’s thermal storage effect, which moderated the temperature swings. The DBGR value was 0.95 for spring and 0.92 for fall, indicating a performance penalty due to increased evaporative cooling, which leads to higher heating loads during these seasons. Annually, it was 0.97, meaning the GR performed 3% worse than a conventional roof due to undesirable evaporative cooling in the cooler seasons. The DBGR in Chicago in winter was 0.99, indicating that the GR slightly underperformed compared to a conventional roof. Meanwhile, the annual DBGR for Chicago was 1.01, showing that the GR performed 1% better than a traditional roof, with better performance in cooling-dominated seasons. The DBGR in Atlanta was consistent, with a value of 1.02 in winter and 1.03 in spring, summer, and fall. The annual DBGR was 1.03, meaning the GR provided a 3% improvement in energy performance. In Texas, the GR performed better than the conventional roof in all seasons, with DBGR values of 1.02 in winter and up to 1.03 in spring and summer. The DBGR for Houston was 1.03, showing a 3% improvement in energy performance over a conventional roof, driven by the GR’s evaporative cooling effect. | [93] |
Chicago, Illinois | ||||||
Atlanta, Georgia | ||||||
Houston, Texas | ||||||
Yaghoobian et al., 2015 | EnergyPlus Simulation | Baltimore and Maryland | Mixed–Humid Climate | Advantages: Comparison of the thermal effects of artificial turf (AT) with other materials like grass, asphalt, and concrete. Accounts for latent heat fluxes using the temperatures of urban facets in 3D (TUF3D) model. Limitations: Based on a specific geographical location and season, its generalizability is limited. Excludes long-term effects of AT on the urban environment, such as maintenance costs, durability, and potential environmental impacts beyond the immediate thermal effects. | Using AT decreases overall building design cooling loads by 15–20% and has embodied energy savings of 10 Wh/m2/day due to irrigation water conservation. Grass ground cover was found to add 2.3 kWh/m2/day of heat to the atmosphere, potentially leading to urban air temperature increases of up to 4 °C. Overall, building design cooling loads near AT decreased by 15–20% compared to buildings near irrigated grass. | [94] |
Phoenix and Arizona | Hot- to Mixed-Dry Climate | |||||
Zhang et al., 2019 | ENVI-met model simulation | Hangzhou, China | Tropical Urban Climate | Advantages: Simulations with variations in greening layout, coverage ratio, vegetation height, and building height. Analysis of cooling performances focusing on the pedestrian thermal environment at different times of the day. Comparison of cooling performance of GRs with and without greenery, providing valuable insights into the impact of GRs on thermal environments. Limitations: Limited timescale for the ENVI-met model. Constant wind speed and direction throughout the day in the model. The absence of the substrate layer of the GR in the model neglects the thermal effects of the soil. | GRs demonstrated moderate cooling effects on the environment at the pedestrian level compared to other cooling strategies, such as cool pavements, water bodies, and urban forests. The most favorable cooling performance of GRs was observed to be 0.82 °C Cooling performances for the GR ranged from 0.10 to 0.30 °C at various points. | [95] |
Mousavi et al., 2023 | Machine learning (ML), DesignBuilder (DB) software, and Taguchi design computation | Monterrey, Mexico | Semi-arid climate | Advantages: Optimization of the cooling and heating energy loads by analyzing effective parameters, leading to improved energy efficiency. Utilization of the Taguchi design principles and Minitab Employs energy modeling to assess the impact of different vegetation types on GRs, providing insights into energy use and occupant comfort conditions. Integration of machine learning with the DesignBuilder simulation enables the estimation of energy. Limitations: Complexity in data interpretation upon the use of advanced modeling techniques like ANFIS. | Reductions in the cooling load, with a value of 37.7 kWh/m2. Reductions in the heating load, with a value of 93.8 kWh/m2. GR can achieve a reduction of 6.2% in heating loads, showcasing the energy-saving potential of GR applications. Leaf area index (LAI), leaf reflectivity, emissivity, and stomatal resistance result in an annual energy savings of 114 kWh/m2. | [96] |
Hong et al., 2021 | Mathematical—Energy Models on MATLAB | Milwaukee, United States | Summer—August | Advantages: Simplified energy balance model for GRs that can be easily implemented in various software platforms like MATLAB, TRNSYS, or Grasshopper. Enables GR simulation without integrating it into the entire building performance, making it more efficient. Identifies critical factors that affect GR performance, such as surface color, soil depth, and plant type. Validated with real-world data from the University of Wisconsin—Milwaukee’s Golda Meir Library. Explores the thermal dynamics of bare soil and vegetation-covered surfaces to demonstrate how factors like solar absorption, sky radiation, and plant characteristics influence surface temperatures. Limitations: Exclusion of weather conditions beyond basic parameters like solar radiation, air temperature, and wind speed, such as precipitation and humidity variations. Overlooks interaction effects between the roof and the internal thermal loads of the building. Surface focus with limited energy savings insight as it provides limited insight into broader energy savings that GRs could offer, such as potential reductions in energy use across different building types. | Shallower soil was found to lower surface temperatures during peak solar radiation, as deeper soil stores more heat. A 50% increase in soil depth resulted in only a 2 °C rise in surface temperature during peak solar radiation. This means that shallower soil layers can help reduce heat accumulation, particularly in hot climates. Plants with larger leaves and lower internal leaf resistance contributed to greater cooling of the GR surface through higher rates of evapotranspiration. This resulted in lower surface temperatures compared to bare soil. On a sunny day, the study found that the surface temperature of a vegetation-covered roof is lower than a bare soil surface. When the solar radiation was reduced by 33%, surface temperatures decreased by about 10 °C during peak solar radiation, causing significant cooling energy savings. Lowering the heat flux conducted into the building, thereby reducing the cooling load during hot periods. | [97] |
Polo-Labarrios et al., 2020 | Transient mathematical model/finite difference method | Mexico | Warm Climate | Advantages: Quantifies the thermal performance of GRs compared to conventional roofs, demonstrating that GRs reduce indoor temperature fluctuations. Utilization of real meteorological data, including solar radiation, ambient temperature, and wind speed, which are readily accessible from weather stations. Application of a transient mathematical model that accounts for heat transfer through the roof and walls of buildings, along with the energy balance inside the building. Highlights the potential for energy savings of GRs by reducing indoor temperatures, beneficial in warm climates, contributing to lower energy consumption and improved thermal comfort. Limitations: Neglects internal heat sources, such as people or electrical devices, which could affect indoor temperature and energy performance. Single climate focus—the warm climate of Mexico City limits its generalizability to other climates, especially cold or temperate regions. Exclusion of precipitation effects, which can affect the thermal performance of GRs through increased soil moisture and evaporation rates. | Lowering indoor temperatures by up to 12 °K and reducing the cooling load. Providing thermal insulation, which stabilizes indoor temperatures and reduces temperature fluctuations by up to 14 °K. Providing indoor temperature variability, as a GR causes the indoor temperature to fluctuate between 293 °K and 301 °K (about 20 °C to 28 °C) compared to a conventional roof, where it fluctuates between 291 °K and 313 °K (about 18 °C to 40 °C). This reduced variability directly contributes to thermal comfort and energy savings. | [98] |
Ayata et al., 2011 | Basic model—genetic algorithm software | Pennsylvania, United States | - | Advantages: Conducted in a controlled environment, allowing for precise measurements of temperature, velocity, and humidity. Comprehensive comparison of different convective heat-transfer models and considering various airflow velocities. Highlighted the importance of parameters such as soil moisture content, vegetation coverage, and leaf area index (LAI) in affecting convective heat fluxes, which are critical for accurate modeling of GR performance. Limitations: Limited reflectivity of the complexities of real-world environments, as it is conducted in laboratory conditions. Limited seasonal analysis by focusing only on summer conditions, which may overlook the performance of GRs during other seasons. | - | [99] |
Takakura et al., 2000 | Continuous system modeling program (CSMP) | Tokyo | Summer | Advantages: Utilization of both experimental and simulation approaches to evaluate the cooling effects of greenery is needed. A comprehensive analysis was conducted, and greenery cover, concrete, soil layers, and vegetation like turf and ivy were tested. Focus on the impact of the leaf area index (LAI) on enhancing evapotranspiration and cooling effects. Limitations: Adaptation of a small-scale model, which may not accurately represent the heat-transfer dynamics in full-scale buildings. | The ivy-covered roof maintained much lower daytime temperatures (24 to 25 °C) compared to the bare concrete model, which reached nearly 40 °C during the day and fell below 20 °C at night. The ivy-covered surface showed the highest rate, 2.7, which caused its cooling efficiency. The ivy-covered surface showed that surfaces with higher LAI (leaf area index) values of 3.0 exhibited larger effective areas for evapotranspiration, resulting in negative heat loss from the inside to the outside. In contrast, the concrete surface had a positive heat flow, indicating heat gain. | [100] |
Santamouris et al., 2007 | Mathematical model + TRNSYS | Athens, Greece | Summer and Winter | Advantages: Highlights the GR energy efficiency and environmental benefits. Showcases the heating and cooling load benefits and cost savings linked to the installation of the GR system. Includes a practical investigation and simulation of the GR’s performance, providing valuable data that can be implemented in similar cases in urban environments. Supports advancements in building technologies and sustainable practices, encouraging more widespread adoption of GRs in urban planning. Limitations: Focuses on a nursery school building in Athens, Greece, which may not be representative of other building types or geographic locations. Results derived from the specific case study may not be applicable to different types of buildings, such as residential or commercial structures, that may have varying energy dynamics. Limited physical parameters in the experimental investigations. The study does not account for variations in climate conditions over time, which could affect the long-term performance of the GR system. | The integration of a GR system significantly contributes to energy savings, particularly in reducing cooling loads during the summer months. For the whole building (non-insulated), the cooling load reduction varied between 15% and 49%. For the whole building (insulated), the cooling load reduction ranged from 6% to 33%. For the top floor (non-insulated), the cooling load reduction fluctuated between 27% and 87%. For the top floor (insulated), the cooling load reduction varied from 12% to 76%. | [101] |
Authors/Publication Year | Model/ Software | Green Vertical System | Location | Climate/ Period of Study | Advantages/Limitations | Building Energy Performance | Ref. |
---|---|---|---|---|---|---|---|
Feng et al., 2014 | DesignBuilder and EnergyPlus software simulation | Green walls | Canada | - | Advantages: Highlights the energy savings in cooling due to green vegetation, as the heat gained through the walls and roof during warmer months is significantly reduced. Highlights heat flux reduction due to the decrease in the negative heat transfer, especially during summer, and the stabilization of internal building temperatures. Focuses on the delayed heat gain as green vegetation delays its starting time by 1–3 h and shortens its period by 5–6 h per day, which reduces the cooling load. Focuses on the green vegetation’s environmental benefits such as improved air quality, urban heat island mitigation, and enhanced biodiversity. Limitations: Uncovered green vegetation has limited energy savings in winter, as it is not cost-effective in colder climates due to minimal energy savings during winter. Concluded that green vegetation has high initial and maintenance costs as the cost of installation and maintenance outweighed the energy cost savings. Highlighted the minor impact on well-insulated buildings, as green vegetation may have a more significant effect on older or less insulated buildings. | The integration of GRs reduced annual cooling energy by 3.2%. Its associated annual heating energy savings were minimal (less than 1%). The integration of green walls reduced annual cooling energy by 7.3%, and yearly heating energy savings were 1.6%. In summer, GRs reduced heat gain through the roof by 68% compared to a bare roof. Heat gain was delayed by 1–3 h and shortened by 5–6 h daily, which contributed to reduced cooling loads. In July (hottest month), GRs reduced cooling energy consumption by 5.4%. GRs reduced heat loss by 20% in winter but did not cause significant energy savings due to already well-insulated building facades. | [17] |
Cuce 2017 | Ecotect simulation | Green walls | Nottingham | Temperate climatic conditions | Advantages: Demonstration of the temperature reduction benefits of green walls, which can reduce internal wall temperatures compared to a bare wall, highlighting the potential of green walls in reducing building heat gain. Highlighting the energy-saving potential of green walls by calculating the internal temperatures in warmer climates or during summer. Based on a comprehensive methodology, the study uses both experimental and numerical investigations, providing a reliable approach to understanding the impact of thermal regulation on green walls. Focuses on green walls’ environmental advantages, such as improved air quality, noise reduction, and a reduction in greenhouse gas emissions. Limitations: High dependency on the plant type, intensity, orientation, and location, thus significantly affecting temperature reduction. Limited focus on winter energy savings, as it extensively covers thermal regulation during warmer conditions. Study of a specific vegetation type, ivy, and narrow testing conditions, as it was tested in Nottingham’s temperate climate. | Green walls caused a temperature reduction of 6.1 °C on sunny days and 4.0 °C on cloudy days compared to a bare wall. Green walls achieved a 28% reduction in cooling demand when installed on the west-facing wall of the building, where solar exposure is highest. This underscores the energy-saving potential of integrating green vegetation into building designs, particularly in regions with high solar exposure. | [19] |
Wong et al., 2009 | TAS simulations and thermal calculation simulation | Green wall | Singapore | - | Advantages: Demonstration of the significant energy savings of vertical greenery systems, highlighting their effectiveness in energy conservation. Illustrates the thermal comfort improvement associated with vertical greenery systems, as they lower the mean radiant temperature of buildings. Utilizes a comprehensive TAS simulation approach that allows a detailed analysis of various scenarios, providing insights into the thermal performance of buildings with different levels of greenery coverage and shading coefficients. Establishes a linear relationship between the shading coefficient and leaf area index, indicating that lower shading coefficients lead to better thermal insulation. Highlights vertical greenery’s ability to mitigate the urban heat island effect, which leads to lower air temperatures in urban areas. Limitations: Limited generalizability, as the study is conducted in Singapore: the findings may not be directly applicable to other geographical locations with different climates, building materials, or urban layouts. It lacks the inclusion of maintenance of greenery, plant growth, and seasonal changes. | Significant reduction in the energy cooling load, as 100% greenery coverage and a low shading coefficient (0.1) achieved a 31.75% reduction in energy cooling consumption. A significant reduction in the envelope thermal transfer value (ETTV), as 50% greenery coverage with a low shading coefficient of 0.041 resulted in a 40.68% reduction in the ETTV of a glass facade building. This demonstrates the potential of vertical greenery systems to enhance thermal performance and reduce heat transfer through building envelopes. Vertical greenery systems result in energy reductions of 50–70% in some cases and a 5.5 °C reduction in immediate outdoor temperatures. | [75] |
Wang et al., 1999 | Theoretical mathematical model | Traditional green facade | China | Humid continental climate | Advantages: Presents an analysis of the cooling effect of ivy by measuring the heat flux and temperature variations. Comprehensive data collection and experimental validation by measuring multiple parameters, including solar radiation, indoor temperature, heat flux, and relative humidity over two summers (1996 and 1997) at Tsinghua University library. Highlights the energy efficiency potential of the ivy plant in reducing cooling loads in buildings, suggesting a sustainable alternative to traditional air-conditioning systems. Limitations: Specific site locations may limit the generalizability of the results to other buildings or climates with different conditions. Uncertainty in measurements: as the article mentions, the uncertainty of the experiment was not considered. Focuses on ivy and does not explore other types of vegetation or landscaping that might also contribute to cooling effects. | A reduction in peak cooling load of 28% on a clear summer day was witnessed due to the presence of ivy on the west-facing side. This reduction is crucial for minimizing the energy required for air-conditioning systems. The heat flux of the ivy-covered wall was cut to half compared to the bare wall when the sun was shining. This substantial difference indicates that ivy effectively mitigates solar heat gain, leading to lower indoor temperatures and reduced reliance on mechanical cooling. The leaves of the ivy-covered wall absorbed 133 W/m2 of solar radiation, with 40% of this energy lost through convection, 42% through transpiration, and the remainder through longwave radiation. This efficient energy management contributes to lower indoor temperatures and energy savings. Ivy increased the moisture content in the air by 10–20%, enhancing indoor air quality and comfort. This moisture regulation can also reduce the energy required for dehumidification in air-conditioning systems. The ivy layer delayed the peak heat flux through the wall by approximately 8 h. This delay means that the building experiences lower temperatures during peak heat times, which can reduce the demand for cooling during the hottest parts of the day. | [110] |
Susurova et al., 2013 | Theoretical mathematical model | Traditional green facade | Chicago, USA | - | Advantages: Development of a comprehensive mathematical model of a vegetated wall to evaluate the effects of climbing plants on the thermal performance of a building facade. Permitted the analysis of variable parameters such as weather conditions, climate zones, facade orientation, wall assembly types, and plant characteristics. Verified experimentally with experiments conducted on an educational building in Chicago during the summer. Performed a sensitivity analysis to understand the impacts of different factors like plant characteristics, weather conditions, climate zones, wall assembly types, and facade orientation on vegetated facade thermal performance. Highlights the energy efficiency of the plant layer added to the facade. Limitations: The absence of the soil layer in the developed models focusing on vegetated walls without soil limits direct comparisons and applicability. | On hot sunny days, the plants provided an effective R value of 0.0–0.71 m2 K/W, depending primarily on wall orientation, leaf area index, and radiation attenuation coefficient. When the incident solar radiation was varied: The plant layer reduced the facade surface temperatures by 0 °C to 13.9 °C. Heat flux reductions through the facade ranged from 0 W/m2 to 35 W/m2. Effective plant R value ranged from 0 m2 K/W with no solar radiation to 0.67 m2 K/W with the highest level of solar radiation. When the outside air temperature was varied: Reduction in facade surface temperatures due to the plant layer varied from 12.3 °C to 13.8 °C. Heat flux reduction through the vegetated facade varied from 31 W/m2 to 34 W/m2. Effective plant R values varied from 0 m2 K/W to 0.22 m2 K/W. When the relative humidity was varied: Reduction in facade surface temperatures due to the plant layer ranged from 11.9 °C to 14.2 °C. Heat flux reductions through the vegetated facade ranged from 30 W/m2 to 36 W/m2. Effective plant R values ranged from 0.21 m2 K/W to 0.67 m2 K/W. | [111] |
Stec et al., 2005 | Simulink feature on Matlab simulation | Double-skin green facade | - | - | Advantages: Highlights the effective shading system from the plants in the double-skin facade. Highlights the temperature regulation resulting from the presence of plants: the temperature of the layers was significantly lower than with blinds. Emphasizes energy efficiency resulting from the installation of plants, which reduces cooling capacity and energy consumption. Calculation of the ventilation operational time that declined due to the plants’ warm periods and increased in cold periods, contributing to energy savings. Demonstration of the improved thermal performance of the building incorporating plants in the double-skin facade. Limitations: Missing data on the influence of plants on heating systems: potential for increased demand for heat compared to blinds. Difficulties in determining the properties of the plants, such as the transmission coefficient, could affect the accuracy of the simulation model. | When the plants were integrated into the double-skin facade, simulations demonstrated a reduction in the capacity of the cooling system and yearly energy consumption for the building cooling capacity by almost 20% compared to blinds and a corresponding decrease in energy consumption for cooling. The use of plants in the double-skin facade led to a reduction in the operational time of the fan by approximately 10% during warm periods. This indicates improved operational efficiency and potential energy savings. The layer temperature with plants was significantly lower than with blinds, with the plant temperature never exceeding 35 °C, while blinds could exceed 55 °C. | [113] |
Kontoleon and Eumorfopoulou 2010 | Thermal network model (PCW model) | Traditional green facade | Northern Greece | Warm temperate; fully humid; warm summer | Advantages: Analysis of the influence of orientation and proportion of plant-covered wall sections on thermal behavior. Use of a thermal network model that simulates the building zone effectively. Establishment of several heat-flow paths to consider leaf cover, heat transfer, and natural ventilation. Study of the influence of orientation and covering percentage of plant foliage for walls with different configurations and construction parameters. Validation based on experimental results from a recent study. Identification of the cooling potential of climbers in reducing peak temperatures. Reduction of daily energy requirements of the active thermal zone with a green layer on a wall surface. Limitations: Focus on a specific region (Greek region) during the summer period, limiting generalizability to other climates. Missing potential impact of different plant species or maintenance practices on thermal performance Missing feasibility for the practical implementation of plant-covered wall sections. The impact of long-term maintenance and sustainability of plant-covered wall sections is not discussed. | Temperature differences between the exterior and interior surfaces of plant-covered walls are essentially reduced when compared with conventional bare walls. Temperature variations within the building zone, including plant-covered walls, led to superior thermal comfort conditions. As the percentage of plant foliage covered increased, its positive effect also increased. The influence of a green layer on the wall surface was more pronounced for east- or west-oriented surfaces. The placement of insulation on the exterior surface of masonry led to lower temperature variations. Again, the cooling effect on the exterior and interior surfaces of a plant-covered wall was more profound. The use of vegetation on poorly orientated walls can compensate for their poor passive design or efficiently reduce the need for cooling loads. The adequate incorporation of a plant-covered wall in a building envelope is shown to be gainful from an energy conservation point of view. It improves and regulates the microclimate around the built environment to a considerable level by neutralizing the solar impact. | [121] |
Jim and He 2011 | Thermodynamics transmission model + simulation | Green wall | Hong Kong | - | Advantages: Provides a scientific basis for the design and management of vertical greenery systems. Validated experimentally through field measurements to monitor total solar radiation and net radiation. Depicts a numerical model of solar radiation on vertical greenery ecosystems. Explores the impact of vegetation on radiation energy absorption and thermal energy transmission. Limitations: The study acknowledges deficiencies in the model and the need for more elaborate algorithms for accurate computations, indicating areas for improvement. The study focuses on a specific climate (Hong Kong’s subtropical climate), limiting the generalizability of the findings to other regions with different climatic conditions. | Vegetation in urban sustainability regulates the energy balance, enhances insulation, and acts as a thermal barrier. Vegetation covering buildings induces cooling of indoor spaces by reflecting and absorbing solar radiation, cooling through evapotranspiration, and providing additional insulation. The vegetative shield created by green walls helps maintain temperature differentials between the interior and exterior of buildings, contributing to energy savings. | [122] |
McPherson et al., 1988 | SPS and MICROPAS simulation | - | Madison, United States | Humid continental climate | Advantages: Studies the functioning of whole building systems, integrating building and site to understand the effects of entire landscapes on buildings. Model effects of modifications to solar heat gains, airflow patterns, and ambient temperatures on building energy performance. Design models to predict the impacts of vegetation and landscape elements on building microclimate and energy use. Limitations: The study did not incorporate all effects of vegetation on building energy performance, limiting the generalization of results to actual designs. | Dense shading of all surfaces in Madison and Salt Lake City increased annual heating costs by USD 128 (28%) and USD 115 (24%), respectively. Moderate shade on all surfaces in Madison increased annual heating costs by only 10% (USD 59), and light shade increased heating costs by only 3% (USD 14). Dense shade on all surfaces in Miami reduced peak cooling loads by 32–49% or 3108–4086 W Dense shading of all surfaces in Miami reduced cooling costs in hot climates by USD 249 or 61%. In temperate and hot-climate cities, dense shade on all surfaces reduced annual space cooling costs by 53–61% (USD 155–249). A 50% wind reduction lowered annual heating costs by USD 63 (11%) in Madison, but increased yearly cooling costs by USD 68 (15%) in Miami. | [123] |
Miami, United States | Hot climate | ||||||
Salt Lake City, United States | Mediterranean or dry summer climate | ||||||
Tucson, United States | Hot desert | ||||||
Yin et al., 2017 | Thermal infrared (TIR) and three-dimensional point cloud (3DPC) simulation | Traditional green facade | Nanjing, China | Summer heatwave, July–August | Advantages: Two new models, TIR and 3DPC, provide valuable information to assess the cooling effect of direct green facades at a fine scale. A linear relationship between the percentage of green coverage and the cooling effect of the DGF was identified. Limitations: A specific case study was conducted at the Executive Office Building on Nanjing University’s Xianlin Campus, limiting the generalizability of the findings. The study did not explore the long-term effects of DGFs on the thermal environment, indicating a need for further research to assess the sustained impact. | The daily mean surface temperature of direct green facades (DGFs) was significantly lower than the average temperature of bare wall surfaces, with a maximum reduction of 4.67 °C. The DGF’s cooling effect was most prominent during 10:30 to 16:00 and decreased significantly at night. | [124] |
Malys et al., 2014 | SOLENE-Microclimate software simulation | Green walls | Geneva | A mid-season period in a temperate climate | Advantages: Development of a hydrothermal model for vegetated walls using the SOLENE-Microclimate simulation tool. Focus on sustainability and ecological footprints using a natural substrate from local resources. Monitors weather data such as humidity, temperature, and wind speed, which facilitates the analysis of evapotranspiration and microclimate effects. Evaluates three different green wall designs against a bare wall, providing comparative insights into their performance. Gathers data on plant and substrate responses using infrared sensors and flow meters. Limitations: Heavy dependence on solar fluxes may lead to inaccurate predictions, particularly during cloudy conditions. Underestimated peak values: significant peaks in temperature and latent heat fluxes, particularly during irrigation events, are often underestimated by the model. Limited observation period to one mid-season week, which may not capture the full variability of environmental conditions. Underestimation of nighttime cooling effects, which could misrepresent overall thermal behavior. | - | [125] |
Holm et al., 1989 | DEROB system simulation | Green facade | Southern Africa | Hot arid and Mediterranean climate | Advantages: Utilizes diverse methods that ensure comprehensive data collection. Performs a longitudinal analysis that tracks changes over time, providing insights into long-term trends and effects. Based on a clear methodology that is well outlined and replicable, making it easier for future research to build upon. Fills the gaps present in existing research, offering new insights and informing policy. Propose practical recommendations and actionable suggestions. Limitations: A small sample may limit the generalization of findings. Focus on specific variables may overlook other influential factors. Regional specificity may not apply well to other geographical or cultural contexts. | The validated model has been applied to standard lightweight building types in hot inland climates, showing that in summer, the leaf cover produces a constant 5 K cooling effect at room temperature of buildings facing the equator. The indoor temperature range was reduced from 17–33 °C to 18–28 °C in an ambient temperature range of 21–31 °C. In winter, the indoor temperature range was reduced from 10–30 °C without leaf cover to 12–27 °C with leaf cover, for an outdoor range of 7–18 °C. | [126] |
Price 2010 | Theoretical mathematical model | Green facades | College Park, Maryland | Summer—June | Advantages: Focuses on the cooling effects of green facades on various aspects of a building, including ambient environment, exterior wall surface, interior air, and heat flux. Utilizes a small-scale wood-framed building with multiple-species green facades to measure temperature and environmental conditions. Develops a model to calculate the heat flux reduction in one building wall due to a green facade to the whole-building cooling load. Conducts an energy analysis to determine the environmental benefits and energy consumption required for a green facade over its lifetime. Limitations: Lacks information on the thermal benefits of green walls. Limited related research as the majority of published papers on the technology were not available in English. | The integration of green facades significantly reduced the temperature of the building’s ambient air, exterior surface, and interior air, as well as the heat flux. The mathematical model determined that the whole-building cooling load reduction ranged from 1.4% to 28.4%, depending on building construction, green facade placement, and window coverage. The energy analysis of a south-facing green facade revealed that the total energy consumed could be balanced by the electricity saved from reduced air-conditioning if the cooling load was reduced by at least 14%. The study emphasized that with thoughtful design and placement, a green facade can sustainably and effectively help cool buildings. | [127] |
Detommaso et al., 2023 | TRNSYS simulation | Green facades | Catania, Italy | Mediterranean climate | Advantages: Analysis of the potential of green facades to improve indoor temperatures during summer through experiments and simulations. Validated by a monitoring campaign, showing strong alignment between real-world data and simulations. Comparisons of different plant species and their leaf area index (LAI), highlighting their impact on thermal performance. Demonstrates green facades’ ability to reduce surface temperatures and incoming heat with various plants and LAI values. Provides valuable insights into the cooling effects of different plant species in Mediterranean climates. Limitations: Focuses only on the Mediterranean region, making it less applicable to other climates. Neglects factors like wind speed, humidity, or building orientation, which could affect performance. Lacks the identification of the role of the wall assembly behind the vegetation layer, which could impact performance. | The green facades reduced indoor air temperature and internal surface temperature by up to 1.0 °C and 1.1 °C, respectively, during the hottest hours. The green facade with Trachelospermum Jasminoides and an LAI of 2.0 m2/m2 reduced the maximum internal surface temperature on the west-facing wall by 1.1 °C and the external surface temperature by 7.4 °C. The green facade configuration reduced the peak of the incoming heat flux by 78%. The green facades diminished the incoming heat flux by around 96%, resulting in a reduction of 1.6 °C in internal surface temperature and 10.5 °C in external surface temperature. | [128] |
Thomas et al., 2023 | ENVI-met model simulation | Green walls | India | Humid tropical climate | Advantages: Development of the ENVI-met model that effectively shows how green walls can reduce air temperatures in humid tropical climates and simulates hourly temperature variations, emphasizing the importance of shading. Demonstration of the significantly lower air temperatures during both winter and summer due to the green walls. Highlights varying levels of temperature reduction and identifies the maximum cooling effect of green walls. Emphasizes the role of shading in improving the urban thermal environment and microclimates. Limitations: Lacks specific characteristics of plant species, especially in climates with seasonal changes. Bypasses are some of the factors affecting thermal comfort and microclimatic shifts in urban areas. Further research is required to address all concerns about implementing green walls in humid tropical climates beyond the model’s scope. | The ambient air temperature showed relatively lower temperatures during the winter (0.2–1.4 °C) and summer seasons (0.1–0.5 °C) compared to other substrates. The ambient air temperature during the afternoon hours (14:00–16:00) showed a maximum difference (compared to other surfaces) during the winter (1.3–3.1 °C) and summer seasons (0.8–2.1 °C). The results of the ENVI-met simulations indicate that the implementation of green wall building morphology could significantly reduce the ambient air temperature during winter (1.3–1.6 °C) and summer seasons (0.4–0.5 °C), but with differing intensities. Green walls exhibit a maximum reduction in ambient air temperature by 1.9 °C during the winter and by 0.8 °C during the summer. | [129] |
Afshari 2017 | Simscape toolbox of MATLAB model | - | Abu Dhabi, UAE | Arid desert climate | Advantages: Confirms the link between urban heat islands (UHIs) and building cooling loads. Demonstrates that vegetated green spaces (VGSs) can significantly reduce UHI intensity and cooling demands in urban areas. Provides new insights into how various factors affect UHI mitigation and energy use, helping understand model sensitivity. Utilizes various convective heat-transfer coefficient (CHTC) models to ensure accurate and reliable results. Limitations: Challenges in maintaining consistent accuracy due to the many empirical parameters used in urban energy models. Assumes full irrigation and no stomatal resistance; hence, it may overestimate the cooling effects of VGSs. | Vertical greenery systems (VGSs) in urban areas significantly reduced cooling load by 5–8%. VGSs significantly reduced urban air temperature by approximately 0.7–0.9 °C. The reduction in cooling load and the decrease in urban air temperature contributed to lowering the intensity of urban heat islands (UHIs) by almost half. Comparison between urban and rural base cases (without VGSs) showed a cooling load penalty of about 7% due to UHIs, emphasizing the importance of VGSs in mitigating this effect. VGSs significantly reduced air temperature and wind speed near walls, showcasing their positive impact on UHI intensity and cooling demand. The study highlighted the effectiveness of VGS in converting sensible heat to latent heat through evaporation and transpiration from VGS foliage. | [130] |
Zaiyi et al., 2000 | CFD program simulation | Living walls | Hong Kong | - | Advantages: Develops a mathematical model to assess the thermal behavior of ivy-covered walls. Couples and integrates the model with a CFD program for simulation. Identification of key factors influencing ivy-covered walls’ ability to reduce cooling loads. Highlights three important design parameters: green density, covering ratio, and the geometry of the supporting grid. Limitations: Simplifies certain parameters, such as the height of the supporting grid, which may affect accuracy. Lacks an experimental system, which is needed to verify simulation results. | Ivy-covered walls (ICWs) considerably reduce the heat flux through external walls, leading to a reduction in cooling load for buildings. Ivy coverings can reduce solar loads by up to 30%, indicating a significant decrease in heat absorption. A fully covered ivy wall could reduce heat flux through external walls by three-quarters, showcasing a substantial reduction in heat transfer. Ivy coverings convert over 70% of the solar energy they absorb into bioenergy via photosynthesis without significantly increasing their temperature, resulting in lower longwave radiation between foliage and external wall surfaces. An ICW with a covering ratio greater than 30% can reduce solar gain by up to 37%, demonstrating a significant cooling effect. | [131] |
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Nasr, Y.; El Zakhem, H.; Hamami, A.E.A.; El Bachawati, M.; Belarbi, R. Comprehensive Assessment of the Impact of Green Roofs and Walls on Building Energy Performance: A Scientific Review. Energies 2024, 17, 5160. https://doi.org/10.3390/en17205160
Nasr Y, El Zakhem H, Hamami AEA, El Bachawati M, Belarbi R. Comprehensive Assessment of the Impact of Green Roofs and Walls on Building Energy Performance: A Scientific Review. Energies. 2024; 17(20):5160. https://doi.org/10.3390/en17205160
Chicago/Turabian StyleNasr, Yara, Henri El Zakhem, Ameur El Amine Hamami, Makram El Bachawati, and Rafik Belarbi. 2024. "Comprehensive Assessment of the Impact of Green Roofs and Walls on Building Energy Performance: A Scientific Review" Energies 17, no. 20: 5160. https://doi.org/10.3390/en17205160
APA StyleNasr, Y., El Zakhem, H., Hamami, A. E. A., El Bachawati, M., & Belarbi, R. (2024). Comprehensive Assessment of the Impact of Green Roofs and Walls on Building Energy Performance: A Scientific Review. Energies, 17(20), 5160. https://doi.org/10.3390/en17205160