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Exploring the Environment/Energy Pareto Optimal Front of an Office Room Using Computational Fluid Dynamics-Based Interactive Optimization Method

Author

Listed:
  • Kangji Li

    (School of Electricity Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Wenping Xue

    (School of Electricity Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Guohai Liu

    (School of Electricity Information Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

This paper is concerned with the development of a high-resolution and control-friendly optimization framework in enclosed environments that helps improve thermal comfort, indoor air quality (IAQ), and energy costs of heating, ventilation and air conditioning (HVAC) system simultaneously. A computational fluid dynamics (CFD)-based optimization method which couples algorithms implemented in Matlab with CFD simulation is proposed. The key part of this method is a data interactive mechanism which efficiently passes parameters between CFD simulations and optimization functions. A two-person office room is modeled for the numerical optimization. The multi-objective evolutionary algorithm—non-dominated-and-crowding Sorting Genetic Algorithm II (NSGA-II)—is realized to explore the environment/energy Pareto front of the enclosed space. Performance analysis will demonstrate the effectiveness of the presented optimization method.

Suggested Citation

  • Kangji Li & Wenping Xue & Guohai Liu, 2017. "Exploring the Environment/Energy Pareto Optimal Front of an Office Room Using Computational Fluid Dynamics-Based Interactive Optimization Method," Energies, MDPI, vol. 10(2), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:2:p:231-:d:90403
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    Cited by:

    1. Zhang, Han & Gao, Xueping & Sun, Bowen & Qin, Zixue & Zhu, Hongtao, 2020. "Parameter analysis and performance optimization for the vertical pipe intake-outlet of a pumped hydro energy storage station," Renewable Energy, Elsevier, vol. 162(C), pages 1499-1518.
    2. Kangji Li & Wenping Xue & Hanping Mao & Xu Chen & Hui Jiang & Gang Tan, 2019. "Optimizing the 3D Distributed Climate inside Greenhouses Using Multi-Objective Optimization Algorithms and Computer Fluid Dynamics," Energies, MDPI, vol. 12(15), pages 1-19, July.

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