An integrated simulation and optimization approach for reducing CO2 emissions from on-site construction process in cold regions

作者: Hong Xian Li , Limao Zhang , Don Mah , Haitao Yu

DOI: 10.1016/J.ENBUILD.2016.12.030

关键词: Process simulationGenetic algorithmReduction (mathematics)Process (engineering)Carbon taxProcess engineeringGreenhouse gasEnvironmental engineeringEngineeringEffects of global warmingMeasure (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

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