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Identifying practical sustainable retrofit measures for existing high-rise residential buildings in various climate zones through an integrated energy-cost model

Author

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  • He, Qiong
  • Hossain, Md. Uzzal
  • Ng, S. Thomas
  • Augenbroe, Godfried

Abstract

Sustainable building retrofit can provide a great opportunity to reduce the energy consumption of existing buildings to commensurate the climate policies and enhance the building energy performance. Given it strategic importance, there is no shortage of research studies on sustainable building retrofit globally in particular the retrofit measures and technologies for different types of buildings. Despite that, sustainable building retrofit is climate and location specific, and decision-makers are still facing challenges to identify an optimum set of retrofit measures for different climatic conditions according to the trade-off between energy saving and retrofit cost. One reason for that is because of the lack of available information especially those related to the cost of sustainable building retrofit measures. This study aims to develop an integrated energy-cost model for selecting the optimal retrofit solutions for existing high-rise residential buildings in various climatic zones in China. Based on in-depth literature review and analysis of published reports, different alternative retrofit measures for wall, window, shading system, heating and cooling systems, and renewable energy technologies for buildings in different climate zones of China are identified. The retrofit costs related to the identified sustainable building retrofit measures are analyzed by referring to the local renovation techniques and cost in each zone through developing a set of equations. A total 28 practical sustainable building retrofit measures along with a set of retrofit options are identified. A deterministic decision framework is developed to facilitate decision-makers achieving a specific energy saving target and evaluating the associated costs based on the identified retrofit measures for high-rise residential buildings in the studied climatic zones. The practical implications of the deterministic decision framework are examined through the prototype buildings in climatic zones being studies. The findings not only actively support the selection of cost-effective sustainable retrofit measures for high-rise residential buildings in China, but the methodological framework and its implications are also equally applicable to other countries with diverse climatic characteristics and standards of living.

Suggested Citation

  • He, Qiong & Hossain, Md. Uzzal & Ng, S. Thomas & Augenbroe, Godfried, 2021. "Identifying practical sustainable retrofit measures for existing high-rise residential buildings in various climate zones through an integrated energy-cost model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    • Handle: RePEc:eee:rensus:v:151:y:2021:i:c:s1364032121008558
    DOI: 10.1016/j.rser.2021.111578
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    References listed on IDEAS

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    1. Xiaolin Yang & Zhuoxi Chen & Yukai Zou & Fengdeng Wan, 2023. "Improving the Energy Performance and Economic Benefits of Aged Residential Buildings by Retrofitting in Hot–Humid Regions of China," Energies, MDPI, vol. 16(13), pages 1-21, June.
    2. Vilppu Eloranta & Aki Grönman & Aleksandra Woszczek, 2021. "Case Study and Feasibility Analysis of Multi-Objective Life Cycle Energy System Optimization in a Nordic Campus Building," Energies, MDPI, vol. 14(22), pages 1-17, November.
    3. Zhang, Ran & Xu, Xiaodong & Liu, Ke & Kong, Lingyu & Wang, Wei & Wortmann, Thomas, 2024. "Airflow modelling for building design: A designers' review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    4. Ahmad Esmaeilzadeh & Brian Deal & Aghil Yousefi-Koma & Mohammad Reza Zakerzadeh, 2022. "How Multi-Criterion Optimized Control Methods Improve Effectiveness of Multi-Zone Building Heating System Upgrading," Energies, MDPI, vol. 15(22), pages 1-27, November.
    5. Chen, Wei-Han & You, Fengqi, 2022. "Sustainable building climate control with renewable energy sources using nonlinear model predictive control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    6. Ohlsson, K.E. Anders & Nair, Gireesh & Olofsson, Thomas, 2022. "Uncertainty in model prediction of energy savings in building retrofits: Case of thermal transmittance of windows," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    7. Jia, Zhijie & Liu, Yu & Lin, Boqiang, 2024. "The impossible triangle of carbon mitigation policy," Energy Policy, Elsevier, vol. 189(C).
    8. U. G. D. Madushika & Thanuja Ramachandra & Gayani Karunasena & P. A. D. S. Udakara, 2023. "Energy Retrofitting Technologies of Buildings: A Review-Based Assessment," Energies, MDPI, vol. 16(13), pages 1-16, June.

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