Multi-Dimensional Coupled Evaluation and Prediction Of Solar Energy Utilization Indicators on Building Surfaces DOI
Pingan Ni,

Fuming Lei,

Hanjie Zheng

et al.

Published: Jan. 1, 2024

The evaluation of solar energy utilization potential urban building surfaces currently faces the dilemma high complexity large-scale-high-precision-multidimensional coupled computation. This study introduces a more comprehensive method for clusters splitting and type identification, uses geometric morphology to extract multi-dimensional feature indicators clusters. A sky module technology coupling temporal dimension radiation type, dynamic identification surface orientation, high-performance computational framework metrics parsing have been developed. Further, variety machine learning algorithms were examined, finally XGB model, which balances predictive performance (R2>0.95 MSE<0.10) prevents overfitting, was selected predict multidimensional existing buildings in non-enriched areas. found that: (a) geographic location clusters, types can better characterize variability be used build high-precision prediction models. (b) shading typical varies across orientations, with roofs distributed between 3.45% 6.98%, façades 34.70 50.71%. (c)The is significant both different directions time dimensions, e.g., winter accounts about 38% summer Chengdu only 30% Chongqing. In this study, we further captured nonlinear relationship thresholds effective potentials under orientations constructed models bi-directional gains explaining science advancing applications.

Language: Английский

From Point Cloud to Energy Model: Constructing High-resolution Urban Building Model for Energy Simulation and Evaluation Using UAV Oblique Imagery DOI
Fengmin Su, Yuwen Deng, Chi Zhang

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: 103, P. 112145 - 112145

Published: Feb. 17, 2025

Language: Английский

Citations

0
Geospatial mapping of large-scale electric power grids: A graph convolutional network-based approach with attention mechanism DOI Creative Commons
Razzaqul Ahshan, Md. Shadman Abid, Mohammed Al‐Abri

et al.

Energy and AI, Journal Year: 2025, Volume and Issue: unknown, P. 100486 - 100486

Published: March 1, 2025

Language: Английский

Citations

0
Estimating the Potential for Rooftop Generation of Solar Energy in an Urban Context Using High-Resolution Open Access Geospatial Data: A Case Study of the City of Tromsø, Norway DOI Creative Commons
Gareth Rees, Liliia Hebryn-Baidy, Clara Good

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(3), P. 123 - 123

Published: March 7, 2025

An increasing trend towards the installation of photovoltaic (PV) solar energy generation capacity is driven by several factors including desire for greater independence and, especially, to decarbonize industrial economies. While large ‘solar farms’ can be installed in relatively open areas, urban environments also offer scope significant generation, although heterogeneous nature surface fabric complicates task forming an area-wide view this potential. In study, we investigate potential offered publicly available airborne LiDAR data, augmented using data from OpenStreetMap (OSM), estimate rooftop PV capacities individual buildings and regionalized across entire small city. We focus on island Tromsøya city Tromsø, Norway, which located north (69.6° N) Arctic Circle, covers about 13.8 km2, has a population approximately 42,800. A total 16,377 were analyzed. Local was estimated between 120 180 kWh m−2 per year suitable roof with 200 GWh year, or 30% city’s current consumption. Regional averages within show variations highlighting importance orientation building density, suggesting that could play much more substantial role local supply than commonly assumed at such high latitudes. The analysis method developed here rapid, simple, easily adaptable other locations.

Language: Английский

Citations

0
Investigating rooftop solar energy potential in coastal area with unmanned aerial vehicle technology DOI Open Access
Riska Ekawita, Ismail Fahmy Almadi, Elfi Yuliza

et al.

Journal of Energy Systems, Journal Year: 2025, Volume and Issue: 9(1), P. 1 - 11

Published: March 15, 2025

Bengkulu has abundant direct sunlight all year round. Nonetheless, this region faces limited energy availability. Based on its potential, there is an immense opportunity for the development of electrical systems based solar energy. In coastal area, operation system still too and vulnerable. order to fix requirements, a rooftop photovoltaic (PV) can be implemented. The utilization requires preliminary studies related mapping identify economic potential system. study, Unmanned Aerial Vehicle (UAV / Drone) technology been adopted map PV drone used collect aerial photographic data rooftop, which then processed acquire two-dimensional map. This obtain parameters such as tilt angle, orientation roof. These are favorable estimate that generated. these parameters, made assess maximum generated if building installed with number panels. To calibrate calculated we compare calculation results measurements. It proven give promising high-resolution area. addition, normal irradiance measurements also performed in case study area by using previously developed equipment.

Language: Английский

Citations

0
Kentsel Alanlarda 3B Gölge Analizi: Artvin Çoruh Üniversitesi Örneği DOI Creative Commons
Ziya Usta

Turkish Journal of Remote Sensing and GIS, Journal Year: 2025, Volume and Issue: 6(1), P. 73 - 81

Published: March 26, 2025

Kentsel alanlarda binaların oluşturduğu gölge etkisi özellikle güneş paneli kurulumu gibi uygulamalarda, kentsel mikroklima ve enerji verimliliği optimizasyonunda kritik bir role sahiptir. Geleneksel 2B analizlerin yetersizliği nedeniyle 3B analizleri, birbirine oluşturma durumunun daha doğru tahmin edilmesini sağlar. Literatürde genellikle 2.5B modeller kullanılarak analizleri yapılmıştır. Ancak bu dikey yüzeylerin etkisini göz ardı etmektedir. Bu çalışmada kullanarak analizi modelleme için prosedürel yöntemi kullanılmış, kat sayıları baz alınarak binalar LOD1 düzeyinde modellenmiştir. Işın İzleme (Ray-Tracing) algoritmasıyla güneşin günlük saatlik konumları dikkate Artvin Çoruh Üniversitesi Seyitler Merkez Yerleşkelerinde arası düşük bulunmuştur. yakın mesafedeki yüksek gölgeleme yaratmaktadır. Çatılardan sonra güney cephelerinin anlamlı düzeyde ışığı aldığı belirlenmiş olup, da dış cephelerin de kurulum potansiyeli olduğunu ortaya koymaktadır. çalışma, analizinin planlama süreçlerinde önemli araç göstermektedir. Çalışmada elde edilen diğer sonuç, sadece çatıları değil cepheleri kapsaması gerektiğidir. sayede bina yüzeylerinden maksimum oranda yararlanılarak sürdürülebilir gelişim yer seçimi sağlanabilir.

Citations

0
Deep Learning with Semantic Segmentation Approach for Building Rooftop Mapping in Urban Irregular Housing Complexes DOI Open Access
Edy Irwansyah, Alexander Agung Santoso Gunawan, Hady Pranoto

et al.

Engineering Technology & Applied Science Research, Journal Year: 2025, Volume and Issue: 15(2), P. 20580 - 20587

Published: April 3, 2025

This research investigates the application of Deep Learning (DL) U-Net architecture for building rooftop segmentation in densely populated urban areas with irregular housing patterns. The explores effectiveness two loss functions - Binary Cross Entropy (BCE) and Dice Loss (DLs) to optimize accuracy. present study utilized Small-Format Aerial Photography (SFAP) images processed into orthophotos a final ground sampling distance 5 cm. area, located Bogor, Indonesia, features both regular patterns, making it an ideal testing model. model, having been EfficientNetB6 as encoder trained augmented data, demonstrated stable performance across metrics, such accuracy, precision, recall, F1-score. results show that DLs function outperformed BCE, achieving average Intersection over Union (IoU) score 96.8% compared 87% indicating is more effective this application. further enhances by converting raster data vector format using Ramer-Douglas-Peucker (RDP) algorithm, which simplifies smooths polygonal shapes segmented rooftops. combination U-Net, RDP algorithm provides high accuracy usability outputs practical applications, planning disaster management scenarios where accurate delineation critical.

Language: Английский

Citations

0
Advancing urban solar assessment: A deep learning and atmospheric modelling framework for quantifying PV yield and carbon reduction DOI
Muhammad Kamran Lodhi, Yumin Tan, Xiaolu Wang

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115717 - 115717

Published: April 1, 2025

Language: Английский

Citations

0
Residential solar photovoltaic adoption: An in-depth review on potential, main barriers and related incentives DOI
Jingwen Wu,

Yanshan Zhang,

Lin Zhu

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115766 - 115766

Published: April 1, 2025

Language: Английский

Citations

0
The Relationship Between Artificial Intelligence (AI) and Building Information Modeling (BIM) Technologies for Sustainable Building in the Context of Smart Cities DOI Open Access
Jinyi Li, Zhen Liu,

Guizhong Han

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 10848 - 10848

Published: Dec. 11, 2024

The development of information technologies has been exponentially applied to the architecture, engineering, and construction (AEC) industries. extent literature reveals that two most pertinent are building modeling (BIM) artificial intelligence (AI) technologies. radical digitization AEC industry, enabled by BIM AI, contributed emergence “smart cities”, which uses technology improve urban operational sustainable efficiency. Few studies have investigated roles AI in from perspective buildings assisting designers make decisions at city levels. Therefore, purpose this paper is explore research status future trends relationship between BIM-aided context smart provide researchers, designers, developers with potential directions. This adopted a macro micro bibliographic method, used map out general landscape. followed more in-depth analysis fields design, construction, development, life cycle assessment (LCA). results show combination helps optimal on materials, cost, energy, scheduling, monitoring promotes both technical human aspects so achieve Sustainable Development Goals 7 (ensuring access affordable, reliable, modern energy for all), 9 (building resilient infrastructure, promote inclusive industries, foster innovation), 11 inclusive, safe, risk-resilient, cities settlements), 12 consumption production patterns). In addition, BIM, LCA offers great performance, integration should not only consider sustainability but also human-centered design concept health, safety, comfort stakeholders as one goals realize multidimensional based model.

Language: Английский

Citations

3
Evaluating the geographical, technical and economic potential of wind and solar power in China: A critical review at different scales DOI
Y Ye, Gengyuan Liu, Feni Agostinho

et al.

Sustainable Energy Technologies and Assessments, Journal Year: 2024, Volume and Issue: 72, P. 104037 - 104037

Published: Oct. 28, 2024

Language: Английский

Citations

2