Ant colony optimization;
Energy-efficient buildings in Australia;
Future energy optimized buildings;
Climate change impacts on buildings;
Simulation-based optimization;
Metaheuristics;
WEATHER DATA;
COLONY OPTIMIZATION;
OFFICE BUILDINGS;
PERFORMANCE;
SIMULATION;
DESIGN;
BENCHMARK;
UNCERTAINTIES;
ALGORITHMS;
GENERATION;
D O I:
10.1016/j.enbuild.2020.110610
中图分类号:
TU [建筑科学];
学科分类号:
0813 ;
摘要:
Building energy optimisation is generally performed under present climate conditions with fixed simulation parameters (e.g. internal loads). However, climate change and variations in simulation parameters over the building's life span may impact the optimised design. A key question is whether a particular energy-optimised design under present climate conditions would remain energy-optimised in the future. Accordingly, in this paper, a new simulation-based optimisation method is developed, which uses climate models and Ant Colony Optimisation to compare the energy-optimised designs under present and future climates. To demonstrate its potential, this method is applied to a typical office building in two Australian cities, Brisbane and Canberra. The results show that optimising under future climate conditions can lead to different optimal building designs. For Brisbane, the energy difference between optimising under present and future climate conditions is small, but in Canberra the cooling load is increased by up to 6%. This suggests that optimising the studied office building under present climate conditions is acceptable for Brisbane, while considering future climate may yield some savings in Canberra. Results also show that the energy-optimised building configuration for both future and present climates in Brisbane is less sensitive to changes in the load scenario than in Canberra. (C) 2020 Elsevier B.V. All rights reserved.
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[1]
Aiyin Jiang, 2018, International Journal of Construction Education and Research, V14, P22, DOI 10.1080/15578771.2017.1280104
机构:
Univ Tokyo, Grad Sch Engn, Meguro Ku, 4-6-1 Komaba, Tokyo 1538505, JapanUniv Tokyo, Grad Sch Engn, Meguro Ku, 4-6-1 Komaba, Tokyo 1538505, Japan
Arima, Yusuke
Ooka, Ryozo
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Univ Tokyo, Inst Ind Sci, Meguro Ku, 4-6-1 Komaba, Tokyo 1538505, JapanUniv Tokyo, Grad Sch Engn, Meguro Ku, 4-6-1 Komaba, Tokyo 1538505, Japan
Ooka, Ryozo
Kikumoto, Hideki
论文数: 0引用数: 0
h-index: 0
机构:
Univ Tokyo, Inst Ind Sci, Meguro Ku, 4-6-1 Komaba, Tokyo 1538505, JapanUniv Tokyo, Grad Sch Engn, Meguro Ku, 4-6-1 Komaba, Tokyo 1538505, Japan
Kikumoto, Hideki
Yamanaka, Toru
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Kajima Corp, Kajima Tech Res Inst, 2-19-1 Tobitakyu, Chofu, Tokyo 1820036, JapanUniv Tokyo, Grad Sch Engn, Meguro Ku, 4-6-1 Komaba, Tokyo 1538505, Japan
机构:
Univ Tokyo, Grad Sch Engn, Meguro Ku, 4-6-1 Komaba, Tokyo 1538505, JapanUniv Tokyo, Grad Sch Engn, Meguro Ku, 4-6-1 Komaba, Tokyo 1538505, Japan
Arima, Yusuke
Ooka, Ryozo
论文数: 0引用数: 0
h-index: 0
机构:
Univ Tokyo, Inst Ind Sci, Meguro Ku, 4-6-1 Komaba, Tokyo 1538505, JapanUniv Tokyo, Grad Sch Engn, Meguro Ku, 4-6-1 Komaba, Tokyo 1538505, Japan
Ooka, Ryozo
Kikumoto, Hideki
论文数: 0引用数: 0
h-index: 0
机构:
Univ Tokyo, Inst Ind Sci, Meguro Ku, 4-6-1 Komaba, Tokyo 1538505, JapanUniv Tokyo, Grad Sch Engn, Meguro Ku, 4-6-1 Komaba, Tokyo 1538505, Japan
Kikumoto, Hideki
Yamanaka, Toru
论文数: 0引用数: 0
h-index: 0
机构:
Kajima Corp, Kajima Tech Res Inst, 2-19-1 Tobitakyu, Chofu, Tokyo 1820036, JapanUniv Tokyo, Grad Sch Engn, Meguro Ku, 4-6-1 Komaba, Tokyo 1538505, Japan