Quantifying the influence of nature-based solutions on building cooling and heating energy demand: A climate specific review

He, Q.; Tapia, F.; Reith, A.

doi:10.1016/j.rser.2023.113660

Cited by 14 publications

(12 citation statements)

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“…Several factors influence the thermal (heating/cooling) and energy performance of GRs. Of these, the GR type (extensive, intensive, and semi-intensive); structural design elements, such as thermal insulation [42]; growing medium (soil) parameters, e.g., composition, thickness, thermal conductivity, moisture content; plant types and characteristics (e.g., Leaf Area Index, LAI), height, leaf reflectivity, leaf emissivity, and stomatal resistance [31,[43][44][45][46] play a crucial role [47][48][49][50]. The effectiveness of GRs is also affected by the urban structure in terms of urban block density, height, and arrangement [51,52] as well as building design characteristics, e.g., building height, materials, orientation, and insulation [42,[53][54][55].…”

Section: Urban Sustainability and Green Roofsmentioning

confidence: 99%

“…The effectiveness of GRs is also affected by the urban structure in terms of urban block density, height, and arrangement [51,52] as well as building design characteristics, e.g., building height, materials, orientation, and insulation [42,[53][54][55]. The potential combination of GRs with green walls and facades, other greenery systems, and blue infrastructure can improve their overall performance [47,50].…”

Section: Urban Sustainability and Green Roofsmentioning

confidence: 99%

“…Thus, the proper selection of plants should take into account both structural characteristics and ecological factors (for instance, native plants are better adapted to local climatic conditions) [42,58]. Lastly, the seasonality of certain climates modulates the thermal performance of GRs accordingly, with better energy performance during the warm (cooling) season rather than in the cold (heating) season [42,47,48,50].…”

Section: Urban Sustainability and Green Roofsmentioning

confidence: 99%

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Sustainable Urban Environment through Green Roofs: A Literature Review with Case Studies

Perivoliotis,

Arvanitis,

Tzavali

et al. 2023

Sustainability

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This study conducts a literature review coupled with case-study calculations comparing the thermal contribution of semi-intensive and intensive (deeper) green roofs to non-insulated and insulated building roofs, and enhancing comprehension by validating applied scenarios with published literature-based data. Mitigation of the urban heat island is crucial for reducing energy consumption and enhancing urban sustainability, especially through natural solutions such as green (i.e., planted) roofs. The energy and environmental benefits of green roofs include energy conservation, thermal comfort, noise reduction, and aesthetic improvement. Legal mandates, innovative business models, financial subsidies and incentives, regulations, etc. are all components of green roof policies. Conflicts between private property owners and the public, regulatory gaps, and high installation costs are among the challenges. Green roofs are layered and incorporate interacting thermal processes. Green roof models are either based on the calculation of thermal transmittance (U-values), an experimental energy balance, or data-driven (primarily neural network) approaches. U-values were calculated for eight hypothetical scenarios consisting of four non-insulated and four insulated roofs, with or without semi-intensive and intensive green roofs of various materials and layer thicknesses. While the non-planted, non-insulated roof had the highest U-value, planted roofs were particularly effective for non-insulated roofs. Three of these scenarios were in reasonable accord with experimental and theoretical thermal transmittance literature values. Finally, a non-insulated planted roof, particularly one with rockwool, was found to provide a certain degree of thermal insulation in comparison to a non-planted insulated roof.

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Section: Urban Sustainability and Green Roofsmentioning

confidence: 99%

Section: Urban Sustainability and Green Roofsmentioning

confidence: 99%

Section: Urban Sustainability and Green Roofsmentioning

confidence: 99%

See 1 more Smart Citation

Sustainable Urban Environment through Green Roofs: A Literature Review with Case Studies

Perivoliotis,

Arvanitis,

Tzavali

et al. 2023

Sustainability

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“…These variables encompass a wide spectrum of influences, spanning meteorological conditions, the efficacy of insulation and building materials, construction and maintenance activities, the design and functionality of building energy systems, the behavior and activities of occupants, and the overall indoor environmental quality of the building, as elucidated (Zhao and Magoulès, 2012). Weather conditions, including temperature, humidity, and seasonal variations, exert a profound impact on a building's energy demands (He et al, 2023). The effectiveness of insulation and the choice of building materials influence the retention or dissipation of energy, further shaping the overall energy footprint.…”

Section: Introductionmentioning

confidence: 99%

Novel approach to energy consumption estimation in smart homes: application of data mining and optimization techniques

Lin,

Peng,

Liu

et al. 2024

Front. Energy Res.

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Buildings account for a significant portion of total energy consumption, and the introduction of intelligent buildings represents a significant step forward in efficiently managing energy utilization. The proposed solutions represent a significant step forward in the development of intelligent residential environments. Beginning the process of achieving improved building intelligence necessitates a thorough evaluation and prediction of the necessary heating and cooling energy requirements, taking into account all relevant influencing factors. This study describes methodologies for using data mining models to predict the heating and cooling energy requirements of intelligent buildings during the construction phase. Data mining techniques, specifically Support Vector Machines (SVM) and Random Forest, are used, demonstrating their superior efficiency over alternative methods. Metaheuristic algorithms, particularly the Owl Search Algorithm (OSA), are described as effective tools for optimizing results across a wide range of problem resolutions. OSA is described and proposed alongside novel data mining methods, demonstrating that this combination of algorithms improves the performance of Random Forest and SVM-based models by 11% and 24%, respectively. The proposed models can generate predictions with a small number of parameters, eliminating the need for complex software and tools. This user-friendly approach makes the prediction process more accessible to a wider audience. While specialized equipment and professional-grade tools will be used, the proposed models are accessible to a wide range of individuals interested in participating in the prediction process.

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“…The presence of vegetation on facades can minimize heat transfer via shading effects, the insulating properties of vegetation layers, and the prevention of wind along building surfaces. This ultimately results in a reduction in the need for cooling and heating within structures [38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Thermal Performance of Two Passive Facade System Solutions for Sustainable Development

Azkorra-Larrinaga,

Romero-Antón,

Martín-Escudero

et al. 2023

Sustainability

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Sustainable development is essential for the future of the planet. Using passive elements, like ventilated facades based on insulation and air chambers, or living walls, which are solutions based on nature, is a powerful strategy for cities to improve their thermal environment, reduce energy consumption, and mitigate the effects of climate change. This approach allows for the quantification of the influence of passive surfaces on energy fluxes compared to bare surfaces. In addition, it delves into understanding how the incorporation of vegetation on building facades alters surface energy fluxes, involving a combination of physical and biochemical processes. This comprehensive investigation seeks to harness the potential of passive and natural solutions to address the pressing challenges of urban sustainability and climate resilience. This research uses a surface energy balance model to analyze the thermal performance of two facades using experimental data from a PASLINK test cell. This study uses the grey box RC model, which links continuous-time ordinary differential equations with discrete measurement data points. This model provides insight into the complex interplay among factors that influence the thermal behavior of building facades, with the goal of comprehensively understanding how ventilated and green facades affect the dynamics of energy flow compared to conventional facades. The initial thermal resistance of the bare facade was 0.75 (°C m2)/W. The introduction of a ventilated facade significantly increased this thermal resistance to 2.47 (°C m2)/W due to the insulating capacity of the air chamber and its insulating layer (1.70 (°C m2)/W). Regarding the modular living wall, it obtained a thermal resistance value of 1.22 (°C m2)/W (this vegetated facade does not have an insulating layer). In this context, the modular living wall proved to be effective in reducing convective energy by 68% compared with the non-green facade. It is crucial to highlight that evapotranspiration was the primary mechanism for energy dissipation in the green facade. The experiments conclusively show that both the modular living wall and open-ventilated facade significantly reduce solar heat loads compared with non-passive bare wall facades, demonstrating their effectiveness in enhancing thermal performance and minimizing heat absorption.

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Quantifying the influence of nature-based solutions on building cooling and heating energy demand: A climate specific review

Cited by 14 publications

References 98 publications

Sustainable Urban Environment through Green Roofs: A Literature Review with Case Studies

Sustainable Urban Environment through Green Roofs: A Literature Review with Case Studies

Novel approach to energy consumption estimation in smart homes: application of data mining and optimization techniques

Evaluation of the Thermal Performance of Two Passive Facade System Solutions for Sustainable Development

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