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"Optimal planning of municipal-scale distributed rooftop photovoltaic s" by Haoshan Ren, Zhenjun Ma et al.

Deployment planning of distributed rooftop photovoltaic (PV) systems remains a critical challenge for high-density cities, due to complex shading effects and diversified rooftop availabilities. Furthermore, such planning for large-scale systems could be extremely complex due to high dimensionality caused by the enormous number of buildings. To tackle the challenge, this study proposed an optimal planning strategy for municipal-scale distributed rooftop PV systems in high-density cities. The optimization problem was solved by integer learning programming, based on high-accuracy solar energy potentials characterization. By selecting proper rooftops for PV, the electricity generation was maximized, considering the conflicting budget and peak-export-power constraints. A Hong Kong-based case study (including 582 real building rooftops) was conducted. The effectiveness of the proposed strategy was verified by comparing with 5,000,000 Monte-Carlo-generated alternatives. The strategy more effe ....

Hong Kong Based , Building Shading Effect , Distributed Rooftop Pv , High Density City , Integer Linear Programming , Optimal Planning , Ooftop Availability ,

The Architectural Photography Awards Announces the 2022 Shortlist

The Architectural Photography Awards has announced its shortlist, divided into: Exterior, Interior, Sense of Place, Buildings in Use, Mobile and Portfolio. ....

New York , United States , Quarry Bay , Hong Kong General , Hong Kong , Xi Chen , United Kingdom , Region Flamande , City Of , William Shum , Maria Cristina Florian , Marco Tagliarino , Richard Bryant , Stephanie Navailles , Zhang Xiuning , Ray Knox , Katy Harris , Jiang Zhenyu , Paul Finch , Guiyuan Temple , Fabio Sartori , Liu Xinghao , John Rushworth , Servaas Van Belle , Kunle Barker , Tom Ponessa ,

Architectural Photography | Tag

See the latest news and architecture related to Architectural Photography, only on ArchDaily. ....

New York , United States , Quarry Bay , Hong Kong General , Hong Kong , William Shum , Marco Tagliarino , Thibault Jorge , Jiang Zhenyu , Architectural Photography Awards Announces , Mirror Dimension , Architectural Photographyawards , World Architecture Festival , High Density City , Bang Saen , Mucem Gateway , Architectural Photography ,

"Optimal deployment of distributed rooftop photovoltaic systems and bat" by Haoshan Ren, Zhenjun Ma et al.

Using rooftop solar photovoltaics (PV) and batteries together to power electric buses is considered a novel and feasible approach to reducing carbon emissions and tackling street-level air pollution in high-density cities like Hong Kong. However, associated optimal deployment is highly challenging due to the involved high-dimensional system planning, non-linear component sizing, and complex solar potential accurate characterization. To address this challenge, this study proposed a strategy to minimize the payback period of the deployed rooftop PV and batteries for achieving net-zero energy of electric bus transportation by taking associated grid impacts into consideration. In this strategy, a genetic algorithm-integer linear programming (GA-ILP) approach was developed to solve the high-dimensional rooftop PV planning problem and the non-linear PV and battery sizing problem. Our 3D-GIS (geographic information system) and DL (deep learning) integrated approach was used to attain accurate ....

Hong Kong , Distributed Rooftop Pv , Electric Bus , High Density City , Net Zero Energy , Optimal Design ,

"A novel 3D-geographic information system and deep learning integrated " by Haoshan Ren, Chengliang Xu et al.

Accurate rooftop solar energy potential characterization is critically important for promoting the wide penetration of renewable energy in high-density cities. However, it has been a long-standing challenge due to the complex building shading effects and diversified rooftop availabilities. To overcome the challenge, this study proposed a novel 3D-geographic information system (GIS) and deep learning integrated approach, in which a 3D-GIS-based solar irradiance analyzer was developed to predict dynamic rooftop solar irradiance by taking shading effects of surrounding buildings into account. A deep learning framework was developed to identify the rooftop availabilities. Experimental validations have shown their high accuracies. As a case study, a real urban region of Hong Kong was used. The results showed that the annual solar energy potential of the entire building group was reduced by 35.7% due to the shading effect and the reduced rooftop availability. The reductions of individual bui ....

Hong Kong , Building Shading Effect , Deep Learning , Geographic Information System , High Density City , Rooftop Solar Energy ,