A review of computational optimisation methods applied to sustainable building design

被引:548
作者
Evins, Ralph [1 ,2 ,3 ,4 ]
机构
[1] Buro Happold, London W1T 1PD, England
[2] Univ Bristol, Bristol BS8 1TH, Avon, England
[3] EMPA, Swiss Fed Labs Mat Sci & Technol, CH-8600 Dubendorf, Switzerland
[4] ETH, Chair Bldg Phys, Swiss Fed Inst Technol, CH-8093 Zurich, Switzerland
基金
英国工程与自然科学研究理事会;
关键词
Review; Optimisation; Sustainable; Building; Design; Multi-objective; HVAC SYSTEM CONFIGURATIONS; POWER ECONOMIC-DISPATCH; MULTIOBJECTIVE OPTIMIZATION; COMBINED HEAT; GENETIC-ALGORITHM; ENERGY EFFICIENCY; THERMAL DESIGN; EVOLUTIONARY SYNTHESIS; RESIDENTIAL BUILDINGS; ARCHITECTURAL DESIGN;
D O I
10.1016/j.rser.2013.02.004
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper presents a comprehensive review of all significant research applying computational optimisation to sustainable building design problems. A summary of common heuristic optimisation algorithms is given, covering direct search, evolutionary methods and other bio-inspired algorithms. The main summary table covers 74 works that focus on the application of these methods to different fields of sustainable building design. Key fields are reviewed in detail: envelope design, including constructions and form; configuration and control of building systems; renewable energy generation; and holistic optimisations of several areas simultaneously, with particular focus on residential and retrofit. Improvements to the way optimisation is applied are also covered, including platforms and frameworks, algorithmic comparisons and developments, use of meta-models and incorporation of uncertainty. Trends, including the rise of multi-objective optimisation, are analysed graphically. Likely future developments are discussed. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:230 / 245
页数:16
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