Optimization Strategies for the Envelope of Student Dormitories in Hot Summer and Cold Winter Regions: Multi-Criteria Assessment Method

Author:

Xie Fangyuan1,Wu Yi1,Wang Xinqi1,Zhou Xiling1

Affiliation:

1. College of Water Resources and Civil Engineering, Hunan Agricultural University, Changsha 410128, China

Abstract

Energy consumption in student dormitories, key living and study spaces, is a major concern for institutions and communities. This paper proposes a multi-objective optimization model to address the issue of incomplete single-dimensional analysis in existing research. Firstly, optimization was conducted separately for the external walls, windows, and roof to study different parts of the building envelope. Secondly, a student dormitory in a hot summer and cold winter region was used for a comprehensive optimization analysis. The study compared energy consumption, carbon emissions, and costs with the original building, showing a 31.79% reduction in energy savings (ESR), while carbon emission savings (CESR) and cost savings (CSR) increased by 57.18% and 15.58%. This study highlights the importance of selecting appropriate window configurations for sustainability. Optimized thermally broken Low-E glass windows save 5.6% in annual energy consumption compared to aluminum alloy double-glazed windows, with only a 0.03% increase in energy consumption and a 4.49% rise in costs. Long-term, optimized windows provide greater positive feedback for energy efficiency. This case study offers insights for retrofitting buildings with good wall performance but poor window performance and emphasizes the comprehensive decision-making authority of designers and policymakers in sustainable renovations.

Funder

Hunan Provincial Natural Science Foundation Project—Provincial-City Joint

Scientific Research Fund of Hunan Provincial Education Department

Publisher

MDPI AG

Reference63 articles.

1. Analysis on Determinants of Carbon Emissions from Plaza Ground Paving during the Construction Stage Based on Life Cycle Assessment;Nie;Sci. Rep.,2024

2. Developing Global Health Education in Chinese Universities: Challenges and Opportunities;Tang;Lancet Reg. Health—West. Pac.,2023

3. Application of Deep Learning Model in Building Energy Consumption Prediction;Wang;Comput. Intell. Neurosci.,2022

4. NBSC (National Bureau of Statistics of China) (2013). China Statistical Yearbook-2013, China Statistics Press.

5. Building Performance Optimization for University Dormitory through Integration of Digital Gene Map into Multi-Objective Genetic Algorithm;Chi;Appl. Energy,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3