作者: Hong Xian Li , Limao Zhang , Don Mah , Haitao Yu
DOI: 10.1016/J.ENBUILD.2016.12.030
关键词: Process simulation 、 Genetic algorithm 、 Reduction (mathematics) 、 Process (engineering) 、 Carbon tax 、 Process engineering 、 Greenhouse gas 、 Environmental engineering 、 Engineering 、 Effects of global warming 、 Measure (data warehouse)
摘要: Abstract Carbon dioxide (CO2) reduction has obtained worldwide attention due to the global warming effects and mitigating means such as carbon tax. Among CO2 emission sources, construction building related activities consume a considerable amount of energy produce significant volume greenhouse gases (GHGs). This paper proposes an integrated simulation optimization approach reducing emissions from on-site process, which consists three main steps: (i) process simulation, (ii) quantification, (iii) labour allocation optimization. The is simulated utilizing discrete-event (DES) platform, Simphony.NET, in order quantify analyze produced by process. Based on model, crew sizes for labour-intensive are analyzed optimized with respect emissions, genetic algorithm (GA) employed method capable through choice start-date construction, A case study Edmonton, Canada, used demonstrate effectiveness applicability developed approach. Results indicate that total measured can be reduced 21.7% winter optimizing allocation. research thus generic methodology measure reduce