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
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