A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Multi-objective optimization for energy consumption, daylighting and thermal comfort performance of rural tourism buildings in north China
Abstract The rapid development of rural tourism in north China is leading to the extensive growth of rural tourism buildings (RTBs), but the requirements for a comfortable indoor environment will further stimulate high energy consumption (EC) by RTBs. To promote the scientific design of RTBs in north China, three villages in Tianjin are used as research areas. A field survey is carried out, and two-in-one courtyards, triad courtyards and quadrangle courtyards (referred to as Type 1, Type 2 and Type 3, respectively) are found to be the dominant RTB types in the villages. Benchmark models of the three RTB types are extracted and built by using Rhino-Grasshopper, and the performance of the building types in terms of EC, indoor daylighting and thermal comfort is comprehensively considered. The Pareto-based multi-objective optimization tool of Octopus is applied to explore early designs of RTB shape and the window-to-wall ratio (WWR) for the above performance. The Pareto front solution sets and the best optimal solutions obtained by Utopian point method are presented for the three RTB types, and the suggested values for the design variables for the three RTB types are also displayed. A skylight-covered atrium design is found to help improve EC performance, and heating and cooling EC can be regarded as the key points of the RTB energy-saving design. Overall, the method contributes to the scientific design of RTBs, and the findings proposed herein can provide guidance for RTB development in north China and other areas with similar conditions.
Graphical abstract Comprehensive performance with respect to energy consumption, daylighting and thermal comfort was optimized for variables related to building shape and window to wall ratio of benchmark models for three rural tourism building types extracted from the field survey, and optimal solutions and suggested design values were obtained. Display Omitted
Highlights Three types of rural tourism buildings are achieved through field survey. Energy consumption, daylighting and thermal comfort performance are considered. Multi-objective optimization is applied to improve performance. Building shape and window-to-wall ratio parameters are optimized. Optimal solutions for the three types of rural tourism buildings are obtained.
Multi-objective optimization for energy consumption, daylighting and thermal comfort performance of rural tourism buildings in north China
Abstract The rapid development of rural tourism in north China is leading to the extensive growth of rural tourism buildings (RTBs), but the requirements for a comfortable indoor environment will further stimulate high energy consumption (EC) by RTBs. To promote the scientific design of RTBs in north China, three villages in Tianjin are used as research areas. A field survey is carried out, and two-in-one courtyards, triad courtyards and quadrangle courtyards (referred to as Type 1, Type 2 and Type 3, respectively) are found to be the dominant RTB types in the villages. Benchmark models of the three RTB types are extracted and built by using Rhino-Grasshopper, and the performance of the building types in terms of EC, indoor daylighting and thermal comfort is comprehensively considered. The Pareto-based multi-objective optimization tool of Octopus is applied to explore early designs of RTB shape and the window-to-wall ratio (WWR) for the above performance. The Pareto front solution sets and the best optimal solutions obtained by Utopian point method are presented for the three RTB types, and the suggested values for the design variables for the three RTB types are also displayed. A skylight-covered atrium design is found to help improve EC performance, and heating and cooling EC can be regarded as the key points of the RTB energy-saving design. Overall, the method contributes to the scientific design of RTBs, and the findings proposed herein can provide guidance for RTB development in north China and other areas with similar conditions.
Graphical abstract Comprehensive performance with respect to energy consumption, daylighting and thermal comfort was optimized for variables related to building shape and window to wall ratio of benchmark models for three rural tourism building types extracted from the field survey, and optimal solutions and suggested design values were obtained. Display Omitted
Highlights Three types of rural tourism buildings are achieved through field survey. Energy consumption, daylighting and thermal comfort performance are considered. Multi-objective optimization is applied to improve performance. Building shape and window-to-wall ratio parameters are optimized. Optimal solutions for the three types of rural tourism buildings are obtained.
Multi-objective optimization for energy consumption, daylighting and thermal comfort performance of rural tourism buildings in north China
Zhu, Li (author) / Wang, Binghua (author) / Sun, Yong (author)
Building and Environment ; 176
2020-03-27
Article (Journal)
Electronic Resource
English