Simulation of solar radiation on metropolitan building surfaces: A novel and flexible research framework

Ni, Pingan; Yan, Zengfeng; Yue, Yingjun; Xian, Liangliang; Lei, Fang; Yan, Xin

doi:10.1016/j.scs.2023.104469

Cited by 12 publications

(6 citation statements)

References 52 publications

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“…Machine learning techniques are also used in solar studies [28], especially in cases when a 3D city model is not available. In complex urban environments, according to Vartholomaios [29], machine learning models based on sky view factor (SVF) cannot completely replace analytical calculations of solar radiation.…”

Section: State-of-the-artmentioning

confidence: 99%

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Large-Scale Solar Potential Analysis as a Use Case of Urban Digital Twins

Shirinyan,

Petrova-Antonova

2024

Preprint

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Solar radiation impacts diverse aspects of city life, such as harvesting energy with PV panels, passive heating of buildings in winter, cooling loads of air-conditioning systems in summer, and urban microclimate. Urban digital twins and 3D city models can support solar studies in the process of urban planning and provide valuable insights for data-driven decision support. This study examines the calculation of solar incident radiation at the city scale in Sofia using remote sensing data for the large shading context in a mountainous region and 3D vector building data. The building footprints and the terrain are preprocessed using GIS. The solar calculation uses a raytracing algorithm in 3D CAD at the city scale. To evaluate the performance, two cases were considered at the city and district scale, respectively. The total face count of meshes for the simulations constituted approximately 2 000 000 faces. 64379 roofs for the whole city and 4796 buildings for one district were selected. All calculations were performed in one batch and visualized in a 3D web platform. Using a 3D CAD environment establishes a seamless process of updating 3D models and simulations while preprocessing in GIS ensures working with large-scale datasets. The proposed method showed moderate computation time for both cases and could be extended to include reflected radiation and dense photogrammetric meshes in the future.

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Section: State-of-the-artmentioning

confidence: 99%

“…Therefore, the Earth's surface solar radiation is now commonly estimated using satellite data for the reasons mentioned above [33]. In some cases, TMY data can be modified to obtain more precise values of solar radiation [13,28] according to local measurements.…”

Section: Weather Data For Solar Potentialmentioning

confidence: 99%

Large-Scale Solar Potential Analysis as a Use Case of Urban Digital Twins

Shirinyan,

Petrova-Antonova

2024

Preprint

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“…With the increasing demand from residents for thermal comfort, balancing energy consumption in built environments is a great challenge. Climate adaptation strategies have been widely applied to the design of traditional dwellings worldwide, and climate adaptation measures adopted by traditional dwellings have been extensively developed [7,8]. Therefore, the advantages of traditional residential buildings should be retained, and optimisation strategies should be proposed to make use of climate and weather conditions and to make reasonable use of solar radiation [9], natural ventilation [10], and other renewable resources to improve the indoor thermal environment and save building energy [11].…”

Section: Introductionmentioning

confidence: 99%

Optimization and Renovation Design of Indoor Thermal Environment in Traditional Houses in Northeast Sichuan (China)—A Case Study of a Three-Section Courtyard House

Hou,

Hu,

Jiang

et al. 2024

Sustainability

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The three-section courtyard is the most representative traditional residence in the traditional villages in northeast Sichuan. As a unique cultural landscape, it carries the local historical style and cultural connotation. However, the high temperature weather in summer leads to a poor thermal environment in traditional residential buildings, which cannot meet the needs of building users for human thermal comfort, and the wall is the most critical factor affecting the indoor thermal environment. Therefore, to optimise the indoor thermal environment of traditional residential buildings, this study designed four groups of wall renovation schemes according to the original traditional residential buildings and modern technology, and simulated and verified the feasibility of the building renovation schemes by using Design Builder. Then, the four groups of wall renovation schemes were compared and tested based on the Design Builder. Comparative results of the thermal-performance evaluation index revealed that compared with Case 1 and Case 2, the building refrigeration energy consumption of Case 3 in the hottest week was the least, only 427.7 kW·h, which indicates that the external wall renovation scheme using aerated concrete blocks had the best thermal insulation and energy-saving effects. The cooling energy consumption of Case 4 in the hottest week was 422 kW·h, which was 4.3 kW·h less than that of Case 3, indicating that the wall renovation scheme with an air inter-layer had better thermal insulation and energy-saving effects. The refrigeration energy consumption of Case 7 in the hottest week was only 409.8 kW·h, which was 4.19% lower than Case 3 (without insulation material), indicating that the scheme of selecting central insulation and extruded polystyrene board (XPS) had better thermal insulation and energy-saving effects in practical projects. In summary, the above transformation scheme not only improves the indoor thermal environment of traditional residential buildings, but also provides guidance for architectural designers on green, energy-saving and sustainable design.

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“…These features render NSGA II well‐suited for addressing complex problems characterized by multiple conflicting objectives. Furthermore, NSGA II demonstrates superior performance in terms of both solution quality and computational proficiency 14–17 …”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, NSGA II demonstrates superior performance in terms of both solution quality and computational proficiency. [14][15][16][17] The Criteria Importance Through Intercrieria Correlation (CRITIC) method provides a systematic way to handle multiobjective optimization to find the optimal solution by accounting for conflicting relationships among objectives and estimating their relative importance. 18,19 The heating, ventilation and air-conditioning system is responsible for approximately half of the energy consumed.…”

Section: Introductionmentioning

confidence: 99%

Carbon emission reduction in public buildings of extreme cold regions: A study on enclosure structure and HVAC system parameter optimization

Teng,

Yin

2024

Energy Science & Engineering

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The implementation of strategies aimed at curtailing energy consumption and carbon emissions in buildings is of paramount importance. Priority should be accorded to the reduction of embodied carbon emissions from construction materials and operational carbon emissions during the usage phase. A public building situated in an extremely cold region is chosen as the subject of this study. An initial investigation is conducted into the impact of various enclosure structure materials on embodied carbon. The impact of different heating, ventilation and air conditioning (HVAC) systems on the total carbon emissions of public buildings are studied as well. The findings indicate that the amalgamation of W3 + R + G4 + H4 culminates in the least total carbon emissions. Upon establishing the foundational scheme for the public building, an optimization (nondominated sorting genetic algorithm II [NSGA II] and Criteria Importance Through Intercrieria Correlation [CRITIC]) of the enclosure structure parameters is initiated to examine the optimal parameters of the public building's enclosure structure. The findings reveal that a decrease in the heat transfer coefficient could trigger an increase in total carbon emissions. This is attributed to the fact that the carbon emissions embodied in the production process of these materials could potentially outweigh the reduction observed in operational carbon emissions. Further adjustments were also made to the parameters of the HVAC system in the buildings. The findings indicate that within the context of public buildings, given the presence of optimal parameters and an HVAC system that utilizes solar energy for both heating and cooling in the American Society of Heating, Refrigerating and Air‐Conditioning Engineers, Inc. 6 A climatic zone, the efficiency of the cooling system can exert a significant influence on the operations carbon emissions reduction.

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Simulation of solar radiation on metropolitan building surfaces: A novel and flexible research framework

Cited by 12 publications

References 52 publications

Large-Scale Solar Potential Analysis as a Use Case of Urban Digital Twins

Large-Scale Solar Potential Analysis as a Use Case of Urban Digital Twins

Optimization and Renovation Design of Indoor Thermal Environment in Traditional Houses in Northeast Sichuan (China)—A Case Study of a Three-Section Courtyard House

Carbon emission reduction in public buildings of extreme cold regions: A study on enclosure structure and HVAC system parameter optimization

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