ExRET-Opt: An automated exergy/exergoeconomic simulation framework for building energy retrofit analysis and design optimisation

被引:43
|
作者
Kerdan, Ivan Garcia [1 ,3 ,4 ]
Raslan, Rokia [2 ]
Ruyssevelt, Paul [1 ]
Galvez, David Morillon [3 ]
机构
[1] UCL, Energy Inst, 14 Upper Woburn Pl, London WC1H 0NN, England
[2] UCL, Environm Design & Engn, 14 Upper Woburn Pl, London WC1H 0NN, England
[3] Univ Nacl Autonoma Mexico, Inst Ingn, Dept Mecan & Energia, Mexico City, DF, Mexico
[4] Imperial Coll London, Ctr Proc Syst Engn, Roder Hill Bldg South Kensington Campus, London SW7 2AZ, England
基金
英国工程与自然科学研究理事会;
关键词
Building energy retrofit; Exergy; Exergoeconomics; Building simulation software; Optimisation; EXERGY ANALYSIS; THERMOECONOMIC ANALYSIS; MULTIOBJECTIVE OPTIMIZATION; EXERGOECONOMIC ANALYSIS; GENERAL METHODOLOGY; HEAT-RECOVERY; SYSTEM; MODEL; EFFICIENCY; COSTS;
D O I
10.1016/j.apenergy.2017.02.006
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Energy simulation tools have a major role in the assessment of building energy retrofit (BER) measures. Exergoeconomic analysis and optimisation is a common practice in sectors such as the power generation and chemical processes, aiding engineers to obtain more energy-efficient and cost-effective energy systems designs. ExRET-Opt, a retrofit-oriented modular-based dynamic simulation framework has been developed by embedding a comprehensive exergy/exergoeconomic calculation method ihto a typical open-source building energy simulation tool (EnergyPlus). The aim of this paper is to show the decomposition of ExRET-Opt by presenting modules, submodules and subroutines used for the framework's development as well as verify the outputs with existing research data. In addition, the possibility to perform multi-objective optimisation analysis based on genetic-algorithiris combined with multi-criteria decision making methods was included within the simulation framework. This addition could potentiate BER design teams to perform quick exergy/exergoeconomic optimisation, in order to find opportunities for thermodynamic improvements along the building's active and passive energy systems. The enhanced simulation framework is tested using a primary school building as a case study. Results demonstrate that the proposed simulation framework provide users with thermodynamic efficient and cost-effective designs, even under tight thermodynamic and economic constraints, suggesting its use in everyday BER practice. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:33 / 58
页数:26
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