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The Use of Normative Energy Calculation beyond the Optimum Retrofit Solutions in Primary Design: A Case Study of Existing Buildings on a Campus

Author

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  • Wenjing Li

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Zhuoyang Sun

    (School of Urban Construction and Safety Engineering, Shanghai Institute of Technology, Shanghai 201418, China)

  • Mehdi Makvandi

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Qingchang Chen

    (School of Urban Construction and Safety Engineering, Shanghai Institute of Technology, Shanghai 201418, China)

  • Jiayan Fu

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Lei Gong

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Philip F. Yuan

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

Abstract

There are significant differences between expectations and fulfillment in the building delivery process. Many researchers have emphasized the need for design strategies that establish a direct correlation between design proposals and building performance. One of the main objectives is to support performance-driven primary design, which occurs before the design performance modeling (DPM) phase. To achieve this, a case study of retrofitting existing buildings on campus is presented. A normative calculation approach is used to identify the optimal combinations of a dozen retrofit strategies based on the Energy Performance Calculator (EPC) model. This approach reduces or eliminates the impact of parametric uncertainties on modeling assumptions and simplifies calculations, particularly in restrictive studies. These retrofit solutions involve structural and functional zoning renovation, meaning that disparity between expectations and fulfilments is considered, and a timely related information feedback route to architects is achieved. In the first step of the narrative development of the EPC model, EPC-Calib was used to find the optimal combination of input variables in the model that satisfies the desired target and complies with the problem constraints. Secondly, the retrofit study was implemented with EPC-TechOpt, and 16 retrofit solutions for three design performance models were examined based on the local climatic conditions, building features, and retrofit costs. Finally, design schemes were determined, and the cost-optimal mix of the measures was desired with a 40% energy saving.

Suggested Citation

  • Wenjing Li & Zhuoyang Sun & Mehdi Makvandi & Qingchang Chen & Jiayan Fu & Lei Gong & Philip F. Yuan, 2023. "The Use of Normative Energy Calculation beyond the Optimum Retrofit Solutions in Primary Design: A Case Study of Existing Buildings on a Campus," Sustainability, MDPI, vol. 15(9), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7094-:d:1131039
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    References listed on IDEAS

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    1. Chang, Soowon & Saha, Nirvik & Castro-Lacouture, Daniel & Yang, Perry Pei-Ju, 2019. "Multivariate relationships between campus design parameters and energy performance using reinforcement learning and parametric modeling," Applied Energy, Elsevier, vol. 249(C), pages 253-264.
    2. Shi, Xing, 2011. "Design optimization of insulation usage and space conditioning load using energy simulation and genetic algorithm," Energy, Elsevier, vol. 36(3), pages 1659-1667.
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