Research on Low-Carbon Building Design Strategies for Folk Dwellings in Hanzhong Based on Single Objective Optimization
Author(s): |
Zhichun Yu
Zhenxing Guo Zihan Ling Yuren Chen |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 2 July 2024, n. 7, v. 14 |
Page(s): | 2154 |
DOI: | 10.3390/buildings14072154 |
Abstract: |
With the background of rural revitalization, the urgent demand for energy conservation and improved living quality arises alongside the issues of high energy consumption and low comfort in residential buildings. Located in a region with a hot summer and cold winter climate, Hanzhong faces significant energy consumption for heating and cooling throughout the year, considering both winter insulation and summer heat insulation. Based on the energy consumption simulation and analysis of folk dwellings in Hanzhong, this paper employs a single-objective optimization method to explore the optimization of building envelope structures, including the window-to-wall ratio, bay width, number of floors, orientation, and floor height. Additionally, it investigates building layout, spatial organization, regional design methods, and energy acquisition. Through energy consumption simulation and validation of thermal comfort evaluation index PMV-PPD, design strategies such as building scale, layout organization, indoor and outdoor buffer space design, and building material selection are proposed to effectively improve indoor thermal comfort during the winter and summer seasons. This research provides insights and references for the low-carbon design and optimization of residential buildings. |
Copyright: | © 2024 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
17.56 MB
- About this
data sheet - Reference-ID
10795453 - Published on:
01/09/2024 - Last updated on:
01/09/2024