Performance optimization of high-rise residential buildings in cold regions considering energy consumption

With the acceleration of urbanization, high-rise residential buildings has become a significant aspect of urban living. However, while high-rise residential buildings provide much housing, they also bring significant energy consumption. To raise the energy utilization efficiency of high-rise residen...

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Veröffentlicht in:	Discover applied sciences Jg. 7; H. 2; S. 105 - 14
1. Verfasser:	Song, Liwei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 27.01.2025 Springer Nature B.V Springer
Schlagworte:	Accuracy Algorithms Applied and Technical Physics Architecture Artificial intelligence Building design Buildings Chemistry/Food Science Climate change Cold Cold regions Decomposition Earth Sciences Enclosure structure Energy conservation Energy consumption Energy efficiency Energy modeling Energy utilization Engineering Environment Environmental impact Flooring Green buildings Grey wolf optimization algorithm Heat transfer High rise buildings High-rise residential buildings Housing Materials Science Multi-objective optimization Multiple objective analysis Optimization Optimization algorithms Residential areas Residential buildings Residential development Residential energy Simulation Sustainable development Thermal comfort Urbanization Wide area networks Grey wolf optimization algorithm Energy consumption Multi-objective optimization Enclosure structure High-rise residential buildings
ISSN:	3004-9261, 2523-3963, 3004-9261, 2523-3971
Online-Zugang:	Volltext
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