Enhancing Performance and Generalization in Dormitory Optimization Using Deep Reinforcement Learning with Embedded Surrogate Model DOI

Zhifei Shi,

Chen‐Yu Huang, Jinyu Wang

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112864 - 112864

Published: March 1, 2025

Language: Английский

Developing surrogate models for the early-stage design of residential blocks using graph neural networks DOI Creative Commons
Zhaoji Wu, Mingkai Li, Wenli Liu

et al.

Building Simulation, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 22, 2025

Language: Английский

Citations

3
Optimizing urban block morphologies for net-zero energy cities: Exploring photovoltaic potential and urban design prototype DOI

Xiaotian Geng,

Dong Xie, Zhonghua Gou

et al.

Building Simulation, Journal Year: 2024, Volume and Issue: 17(4), P. 607 - 624

Published: Jan. 13, 2024

Language: Английский

Citations

16
Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption DOI

Yeqin Shen,

Yubing Hu, Kai Cheng

et al.

Building Simulation, Journal Year: 2024, Volume and Issue: 17(5), P. 819 - 838

Published: Feb. 23, 2024

Language: Английский

Citations

13
Multi-objective optimization for generative morphological design using energy and comfort models with a practical design of new rural community in China DOI
Run Li,

Linxi Luo,

Xiangfeng Li

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 313, P. 114282 - 114282

Published: May 13, 2024

Language: Английский

Citations

13
Sustainable and Resilient Land Use Planning: A Multi-Objective Optimization Approach DOI Creative Commons
Tomé Sicuaio, Pengxiang Zhao, Petter Pilesjö

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(3), P. 99 - 99

Published: March 18, 2024

Land use allocation (LUA) is of prime importance for the development urban sustainability and resilience. Since process planning managing land requires balancing different conflicting social, economic, environmental factors, it has become a complex significant issue in worldwide. LUA usually regarded as spatial multi-objective optimization (MOO) problem previous studies. In this paper, we develop an MOO approach tackling problem, which maximum economy, minimum carbon emissions, accessibility, integration, compactness are formulated optimal objectives. To solve improved non-dominated sorting genetic algorithm III (NSGA-III) proposed terms mutation crossover operations by preserving constraints on sizes each type. The was applied to KaMavota district, Maputo City, Mozambique, generate proper plan. results showed that NSGA-III yielded better performance than standard NSGA-III. solutions produced provide good trade-offs between This research beneficial policymakers city planners providing alternative plans

Language: Английский

Citations

11
Exploring the gradient impact of climate and economic geographical factors on city-level building carbon emissions in China: Characteristics and enlightenments DOI
Rui Li,

Yanhui Yu,

Weiguang Cai

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105637 - 105637

Published: July 2, 2024

Language: Английский

Citations

11
A CycleGAN-Pix2pix framework for multi-objective 3D urban morphology optimization: enhancing thermal performance in high-density areas DOI Creative Commons
Shiqi Zhou,

Weiyi Jia,

Haifeng Diao

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106400 - 106400

Published: April 1, 2025

Language: Английский

Citations

2
Key factors in coastal village’s street planning for marine climate adaptation DOI Creative Commons
Yuan Zheng, Liang Feng, Bifeng Zhu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 2, 2025

Marine climate significantly influences the spatial morphology of coastal village's streets. However, research on villages lacks parameterization analysis that can cope with complex climatic environment. Focusing street in Fuzhou City, China, this paper studies relationship between space and impact extreme heat wind conditions. Thermal comfort degree average speed are main optimization objectives. By using techniques to establish a dynamic model conducting multi-objective driven by genetic algorithms, influence morphological indicators is revealed. The conclusions study indicate have more significant environment than interfaces either side street. thermal within greater indicators. This concludes proposing ranking key along their optimal intervals for adapted marine climate. indicators, listed order importance, include appropriate widths (2.3–4.3 m), eave height single-storey buildings (2.0–4.6 double-storey (5.4–7.7 depth (0.8–1.1 m brick-timber dwellings 0.3–0.6 masonry dwellings), roof slope (20–28°), entrance (0.8–1.3 balcony overhang (0.6–0.7 colonnade (1.5–2.4 orientation (NE-SW) building (3.2–5.0 m). provides an empirical reference climate-adapted village design renewal.

Language: Английский

Citations

1
The comprehensive impact of urban morphology on the photovoltaic power generation potential of block-scale office buildings: Real blocks and design benchmarks DOI
Gaomei Li, Yongzhong Chen, Qing He

et al.

Solar Energy, Journal Year: 2025, Volume and Issue: 287, P. 113248 - 113248

Published: Jan. 7, 2025

Language: Английский

Citations

1
Optimising urban office block morphologies with photovoltaic system integration: An energy-environment-economic evaluation under climate change scenarios DOI Creative Commons
Gaomei Li,

Huangwanjin Zhou,

Jian Kang

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115318 - 115318

Published: Jan. 1, 2025

Language: Английский

Citations

1