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

Kangji Li, Wenping Xue and Guohai Liu
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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

Energies, 2017, vol. 10, issue 2, 1-15

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.

Keywords: data interactive mechanism; computational fluid dynamic (CFD) coupled optimization; non-dominated-and-crowding Sorting Genetic Algorithm II (NSGA-II); thermal comfort; energy saving (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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