Solar Energy Advances最新文献_第2页

Comprehensive design of a 100-kilowatt solar power plant with bifacial technology in PVsyst for Arak, Iran 伊朗阿拉克100千瓦双面光伏电站综合设计

Solar Energy Advances Pub Date : 2025-01-01 DOI: 10.1016/j.seja.2025.100092

Mohammad Parhamfar , Alireza Zabihi

{"title":"Comprehensive design of a 100-kilowatt solar power plant with bifacial technology in PVsyst for Arak, Iran","authors":"Mohammad Parhamfar , Alireza Zabihi","doi":"10.1016/j.seja.2025.100092","DOIUrl":"10.1016/j.seja.2025.100092","url":null,"abstract":"<div><div>Modeling a PV power plant using PVsyst software requires careful attention in selecting and adjusting the bi-facial factor as it can significantly impact the performance of the modeled system or power plant. In designing solar power plants, we must consider important details. This article explores the design of a 100-kW rooftop solar power plant, addressing challenges and selecting the best design, particularly focusing on the impact of bi-facial coefficients. One of the challenges is accurately assessing the amount of radiation received from the rear of the panels and optimizing the row spacing to prevent shading. Another challenge is determining the effective installation angles and the height of the panels above the ground to enhance bi-facial efficiency. Neglecting to properly configure this factor can lead to incorrect energy yield estimates and negatively affect the economic analysis of the designed project. The main objective is to create an appropriate design for bi-facial PV systems in PVsyst by considering several obstacles. These challenges include field segment shading, solar energy availability in different months, nearby shading, roof configuration and wiring, cable design, grounding system, protection system calculation, risk assessment, lighting, and installation of lightning rods for shadow measurement. Various software, such as AutoCAD, PVsyst, ETAP, PVLPC, Helioscope and Volta, were utilized in this study. Moreover, the economic analysis in this study is conducted using RETScreen, a widely recognized software tool designed for evaluating the financial viability and performance of renewable energy and energy efficiency projects. This paper is based on a real project implemented in Arak, Iran. Furthermore, this paper explores incorporating climatic and environmental impacts into PVsyst software for accurate power plant performance prediction, providing a practical example for designing a 100-kilowatt plant.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100092"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Risk assessment, lightning protection, and earthing system design for photovoltaic power plants: A case study of utility-scale solar farm in Iran 光伏电站的风险评估、防雷和接地系统设计：以伊朗公用事业规模太阳能发电场为例

Solar Energy Advances Pub Date : 2025-01-01 DOI: 10.1016/j.seja.2025.100098

Mohammad Parhamfar , Reza Naderi , Iman Sadeghkhani

{"title":"Risk assessment, lightning protection, and earthing system design for photovoltaic power plants: A case study of utility-scale solar farm in Iran","authors":"Mohammad Parhamfar , Reza Naderi , Iman Sadeghkhani","doi":"10.1016/j.seja.2025.100098","DOIUrl":"10.1016/j.seja.2025.100098","url":null,"abstract":"<div><div>Photovoltaic (PV) systems play a pivotal role in addressing the growing global demand for sustainable and renewable energy sources, offering a crucial solution to mitigate climate change and reduce dependence on fossil fuels. Due to outdoor installation, PV systems are vulnerable to lightning strikes, which can cause significant damage to the electrical system and pose a safety hazard. Therefore, effective lightning protection measures including the use of surge protective devices, lightning rods, earthing systems, and shielding techniques are crucial to ensure the reliable and safe operation of PV systems. However, the design and implementation of lightning protection system (LPS) continue to be a complex and challenging task for engineers. This paper presents the step-by-step design of an LPS for a large-scale PV power plant located in Iran based on IEC 62305:2010. The procedure includes various aspects of lightning protection including risk assessment, earthing system, and bonding according to the relevant international standards and guidelines. The results show that the non-isolated passive LPS and galvanized earthing system are proper choices for the PV power plant under study. The findings of this paper are of interest to PV system designers, installers, operators, and researchers, as well as to standards organizations, regulatory bodies, and insurance companies involved in the certification and evaluation of PV systems.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100098"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Industrial solar heat potential in Chile: A technical-economic analysis 智利工业太阳能热潜力：技术经济分析

Solar Energy Advances Pub Date : 2025-01-01 DOI: 10.1016/j.seja.2024.100082

Diego Naranjo, Francisco Fuentes, Iván Muñoz

{"title":"Industrial solar heat potential in Chile: A technical-economic analysis","authors":"Diego Naranjo, Francisco Fuentes, Iván Muñoz","doi":"10.1016/j.seja.2024.100082","DOIUrl":"10.1016/j.seja.2024.100082","url":null,"abstract":"<div><div>This paper presents a comprehensive techno-economical potential analysis for integrating solar heat for industrial processes (SHIP) in Chile. Utilizing TRNSYS software for simulation and Python for data analysis, the study evaluates the levelized cost of heat (LCoH) and solar fraction for various industrial sectors across different regions of the country. The findings indicate that regions such as Coquimbo, Antofagasta, and Metropolitan exhibit high solar fractions and competitive LCoH values, particularly in hot water production. The central zone, especially the Metropolitan region, demonstrates significant potential for steam generation, achieving an average solar fraction of 50 % and producing 295 GWh/year of solar thermal energy. Validation with real-world data demonstrated an average error margin of 21 %, underscoring the developed heat load calculation model's reliability. The study concluded that SHIP is a viable solution for reducing energy costs and greenhouse gas emissions in Chile. It has the potential to displace over 3,500 GWh/year of fossil fuel energy in the considered productive sectors. These findings highlight the strategic importance of supporting SHIP implementation through favorable policies and investments.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100082"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and thermal performance investigation of solar-powered water purifying system for Dire Dawa Rural area 迪尔达瓦农村太阳能净水系统设计及热工性能研究

Solar Energy Advances Pub Date : 2025-01-01 DOI: 10.1016/j.seja.2025.100088

Arega A. Debu , Kamil D. Adem , Seyoum G. Nigussie

{"title":"Design and thermal performance investigation of solar-powered water purifying system for Dire Dawa Rural area","authors":"Arega A. Debu , Kamil D. Adem , Seyoum G. Nigussie","doi":"10.1016/j.seja.2025.100088","DOIUrl":"10.1016/j.seja.2025.100088","url":null,"abstract":"<div><div>To meet the ongoing demand for fresh water, desalination technologies must be improved to be cleaner, more efficient, and environmentally friendly. Utilizing solar energy for desalination systems provides a rapid fix for the energy shortage as well as an efficient mitigation tool for issues related to global climate change, deforestation, and local economic problems. This study's primary goal is to analyze a solar-assisted water purifying system in the rural area of Dire Dawa with an average per day solar energy of 5 kWh/m2/day. The study was conducted on the lowest solar intensity to determine the parameters of a parabolic dish sunlight collection system: aperture radius of 1 m, deepness of 0.25 m, focal length of 1 m, and receiver diameter of 0.9 m. A clay pot is used as the insulation for condensation water because condensation water is used as a feeder for the receiver and clay is one of the finest insulation materials. The result shows that the absorber heated to its highest surface temperature of 448.3 °C, 0.33 liters of condensed water, and 0.8177 liters of evaporated water were obtained by recycling heat dissipation to heat the water heater. The production efficiency of the collector is obtained as 40.35 %. The water hardness is improved from 479 to 12, pH 6.78 to 7, and total dissolved solids (TDS) from 564 to 94. This study also paves the desalinated water is suitable for industrial and construction works.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100088"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing solar energy production in senegal under future climate scenarios using regional climate models 利用区域气候模型评估塞内加尔在未来气候情景下的太阳能生产

Solar Energy Advances Pub Date : 2025-01-01 DOI: 10.1016/j.seja.2025.100101

Aissatou Ndiaye , Dahirou Wane , Cheikh Dione , Amadou Thierno Gaye

{"title":"Assessing solar energy production in senegal under future climate scenarios using regional climate models","authors":"Aissatou Ndiaye , Dahirou Wane , Cheikh Dione , Amadou Thierno Gaye","doi":"10.1016/j.seja.2025.100101","DOIUrl":"10.1016/j.seja.2025.100101","url":null,"abstract":"<div><div>The transition to renewable energy is pivotal for climate change mitigation, yet it entails a greater reliance on weather and climate conditions, impacting energy production from solar plants. Senegal's energy sector is increasingly reliant on solar power, making it essential to assess its long-term viability under changing climate conditions. This study evaluates future solar energy production in Senegal up to 2050, focusing on eight operational solar plants: Bokhol, Sakal, Malicounda, Kahone, Ten Merina, Mekhe, Ndiass, and Kael. The regional climate model (RegCM4) driven by three Global Climate Models (GCMs) from CORDEX-CORE simulations is used and the analysis is conducted under the RCP8.5 scenario. The shortwave solar radiation and ambient air temperature at 2 m from the ERA5 re-analysis provided by the ECMWF are used to evaluate the RegCM4 simulations. Bias correction is applied to enhance the model's accuracy. The validation shows that ERA5 captured the temporal pattern of solar energy production. For the intensity, a minor relative bias averaging 5.6 % over the considered period is noted. Without correction, the model exhibits a relative bias of 10.4 %, which improves to 0.11 % after correction. Additionally, the results show a general decreasing trend in solar energy production over the country. The solar plants are projected to have a decrease in production ranging from -0.43 to -1.14 kWh/year. Policymakers should diversify energy sources, invest in storage solutions, and adopt climate-resilient solar technologies. This study provides insights into the potential impacts of climate change on solar energy generation in Senegal, informing policymakers and stakeholders to optimize power generation and ensure a sustainable energy future.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100101"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143576887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Solar photovoltaic array short circuit fault analysis with machine learning using pre-trained convolutional neural network for feature selection 太阳能光伏阵列短路故障的机器学习分析，使用预训练卷积神经网络进行特征选择

Solar Energy Advances Pub Date : 2025-01-01 DOI: 10.1016/j.seja.2025.100103

Tarikua Mekashaw Zenebe , Ole-Morten Midtgård , Steve Völler , Berhane Darsene Dimd

{"title":"Solar photovoltaic array short circuit fault analysis with machine learning using pre-trained convolutional neural network for feature selection","authors":"Tarikua Mekashaw Zenebe , Ole-Morten Midtgård , Steve Völler , Berhane Darsene Dimd","doi":"10.1016/j.seja.2025.100103","DOIUrl":"10.1016/j.seja.2025.100103","url":null,"abstract":"<div><div>Solar photovoltaic (PV) array deployment is rapidly increasing, but faults, particularly short-circuit faults, pose significant reliability and safety challenges. Machine and deep learning techniques have been applied to accurately identify PV short circuit faults using current–voltage (I–V) characteristic curve data; however, traditional machine learning models often require manual feature selection, and deep learning models demand large datasets, which are challenging to obtain. Additionally, shading effects are typically not included as operating conditions. This paper, therefore, proposes a machine learning-based fault detection and classification (FDC) method using pre-trained convolutional neural networks (a type of deep learning) for automatic and efficient feature selection, aiming to maintain high accuracy, fast FDC time and low memory usage while requiring less training data. The training and testing I–V curve data were generated from a PV array modeled in detail in MATLAB/Simulink. Furthermore, faults were simulated under varying irradiance, mismatch levels, and shading effects. The evaluated pre-trained convolutional neural networks include AlexNet, VGG, GoogleNet, ResNet, SqueezeNet, DenseNet, ShuffleNet, and EfficientNet. Among these, EfficientNet paired with a support vector machine demonstrated the best performance, achieving over 95.5 % across all performance metrics, with an FDC time of 4.23 s and a feature selection stage memory usage of only 20 MB. This approach can be integrated into PV system health monitoring to facilitate early FDC, enhancing system lifetime, safety, and reliability.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100103"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Solar irradiation comparison of long-span ETFE-covered solar greenhouse 大跨度etfe覆盖日光温室的太阳辐照比较

Solar Energy Advances Pub Date : 2025-01-01 DOI: 10.1016/j.seja.2025.100104

Rakhmat Fitranto Aditra , Paolo Beccarelli , James Bean

{"title":"Solar irradiation comparison of long-span ETFE-covered solar greenhouse","authors":"Rakhmat Fitranto Aditra , Paolo Beccarelli , James Bean","doi":"10.1016/j.seja.2025.100104","DOIUrl":"10.1016/j.seja.2025.100104","url":null,"abstract":"<div><div>The solar greenhouse has been utilised to prolong the growing season of agricultural products in the UK. Transparent foil has been utilised as a substitute for glass in solar greenhouses to minimise the shadow produced by the supporting supports. Although simple polytunnels are regularly utilised, long-span and highly curved membrane structures, which are well-known in architectural design, are infrequently employed in solar greenhouses. The long-span membrane structure should cast less shadow by incorporating more structurally efficient curved geometry.</div><div>This study intends to present a solar greenhouse framework featuring three alternatives for long-span membrane designs: (1) pneumatic air-supported structure, (2) tensile membrane structure, and (3) pneumatic cushion structure. Structural analysis and ray-tracing simulations were conducted to examine the impacts of varying sizes of primary structural components and the influence of membrane geometry. The chosen option was also examined to assess its performance across different orientations and lengths.</div><div>The findings indicate that the tensile membrane structure is the most optimum option, with 3.61 % and 4.57 % higher solar irradiance among the three long-span membrane structures. Its horizontal radiation transmission could reach 81 % in both summer and winter. The orientation calculations indicate that an East-West orientated tunnel is optimal for maximising winter sun irradiation in UK. Although the tunnel length enhances average solar irradiation, the long-span design already offers a considerable unshaded region, rendering the impact of additional tunnel length negligible. Further research is required for other plan configurations and for assessing other solar greenhouse factors.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100104"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The impact of energy transition policies on real estate efficiency and renewable energy communities (RECs): An analysis of public awareness and final energy uses in Italy 能源转型政策对房地产效率和可再生能源社区（RECs）的影响：意大利公众意识和最终能源使用的分析

Solar Energy Advances Pub Date : 2025-01-01 DOI: 10.1016/j.seja.2025.100099

Elena Tarpani , Veronica Lucia Castaldo , Ilaria Pigliautile , Benedetta Pioppi , Debora Cilio , Matteo Zulianello , Anna Laura Pisello , Franco Cotana

{"title":"The impact of energy transition policies on real estate efficiency and renewable energy communities (RECs): An analysis of public awareness and final energy uses in Italy","authors":"Elena Tarpani , Veronica Lucia Castaldo , Ilaria Pigliautile , Benedetta Pioppi , Debora Cilio , Matteo Zulianello , Anna Laura Pisello , Franco Cotana","doi":"10.1016/j.seja.2025.100099","DOIUrl":"10.1016/j.seja.2025.100099","url":null,"abstract":"<div><div>The Green Deal seeks to achieve carbon neutrality by 2050, positioning building operations and renewables promotion as a critical focus areas. Renewable Energy Communities (RECs) have emerged as a key driver of this transformation. In Italy, several policies have been introduced to promote their development; however, their impacts remain underexplored. This study examines the efficiency of real estate, the proliferation of RECs, and public perceptions related to these initiatives through a survey distributed at national level achieving 149 respondents. Findings reveal that 58 % of assessed buildings had undergone retrofit interventions, predominantly aimed at reducing energy bills. Furthermore, 46 % of respondents acknowledged the essential role of incentives in driving these changes, while 73 % of users reported modifications to their energy behaviours. Overall, occupants of retrofitted buildings and RECs participants demonstrated greater awareness of energy topics. These results underscore the critical importance of policy incentives in accelerating the energy transition and stress the need for targeted communication campaigns to enhance public awareness and engagement, so achieving the broader goal of carbon neutrality.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100099"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143619182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development and implementation of a public data repository for photovoltaic systems: Case study malta's living laboratories 光伏系统公共数据存储库的开发和实施：马耳他生活实验室案例研究

Solar Energy Advances Pub Date : 2025-01-01 DOI: 10.1016/j.seja.2025.100100

Brian Bartolo , Brian Azzopardi , Kenneth Scerri

{"title":"Development and implementation of a public data repository for photovoltaic systems: Case study malta's living laboratories","authors":"Brian Bartolo , Brian Azzopardi , Kenneth Scerri","doi":"10.1016/j.seja.2025.100100","DOIUrl":"10.1016/j.seja.2025.100100","url":null,"abstract":"<div><div>The transition to renewable energy, particularly Photovoltaic systems (PVs), is pivotal in achieving carbon neutrality goals. However, effective performance monitoring through data sharing remains challenging, especially in regions with unique environmental conditions. This study addresses these gaps by introducing Malta's first public data repository for PVs under the PROMISE project. The initiative integrates high-precision, laboratory-grade sensors compliant with IEC standards to ensure robust data acquisition and processing. The methodology builds on international best practices, employing advanced monitoring frameworks to capture meteorological and system parameters with high temporal resolution. Using three of the ten PV Living Laboratories in Malta, the system reflects typical installations in a Mediterranean Island Territory climate and the Maltese context. Data collection and processing adhere to European standards and established practices from existing public data repositories, ensuring compatibility and interoperability. By leveraging open-source platforms, the repository enables real-time visualization and the provision of structured historical datasets. Performance metrics, such as the DC performance ratio, are further employed to highlight the value of data sharing and collaboration in optimizing system performance and advancing predictive maintenance strategies. This work establishes a scalable framework for local PV monitoring and data sharing, advancing research and innovation in renewable energy and promoting Malta's participation in foreign programs. Future expansions aim to include additional laboratories, automate data uploads, and integrate Artificial intelligence (AI) driven fault detection tools, enhancing the system's utility and reliability.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100100"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Useful shadow: A new independent metric to evaluate the overshadowing buildings 有用的阴影：一个新的独立的度量来评估建筑物的阴影

Solar Energy Advances Pub Date : 2025-01-01 DOI: 10.1016/j.seja.2024.100086

Niloofar Hashemi , Morteza Rahbar , Shahin Heidari , Parinaz Mansourimajoumerd

{"title":"Useful shadow: A new independent metric to evaluate the overshadowing buildings","authors":"Niloofar Hashemi , Morteza Rahbar , Shahin Heidari , Parinaz Mansourimajoumerd","doi":"10.1016/j.seja.2024.100086","DOIUrl":"10.1016/j.seja.2024.100086","url":null,"abstract":"<div><div>This study addresses the lack of a standardized method for assessing shadow quality in building performance (BP) influenced by shading creators (ShC). The Useful Shadow (USh) metric is introduced, implemented in Python, and compatible with tools like Ladybug, providing a unified framework for evaluating various ShCs. The USh benchmark streamlines BP evaluation during early architectural planning, reducing reliance on computationally intensive simulations. It is derived from a dataset of 13,600 parametric shading devices (SDs) generated through dynamic modeling. An ANN-based BP emulator, combined with NSGA-III, establishes the USh benchmark, which is validated across 13 SD classes and applied to two zones of a residential building, using on-site measurements. Additionally, a workflow and two examples are provided to improve the clarity and practical application of the USh method.</div><div>Although the USh benchmark encountered limitations in accurately identifying SDs with performance values close to the benchmark, particularly for low-efficiency SDs, the results demonstrate potential for wider application. This method provides a scalable, standardized metric for reliable shading performance evaluation aligned with regulatory codes. While the current USh benchmark was developed for Shiraz's climate and specific conditions, future work could extend its applicability by generating USh benchmarks for other architectural contexts.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100086"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0