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EDeSSOpt - Energy Demand and Supply Simultaneous Optimization for cost-optimized design: Application to a multi-family building

机译:EDeSSOpt-用于成本优化设计的能源需求和供应同步优化:应用于多户住宅

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In the context of European efforts to reduce energy consumption and CO2 emissions in the building sector, the second recast of the Energy Performance of Buildings Directive promotes the acceleration of the energy renovation of European building stock. To do this, a cost optimization is necessary to find the best combination of energy efficiency measures which minimize the global cost during the entire life-cycle of the building, as suggested in the first recast of the same Directive. Since a great number of combinations must be analyzed, an automated procedure is necessary to reduce the calculation time. In this work, an iterative input-output process is set, thanks to the coupling of a dynamic energy simulation software (TRNSYS) and a generic optimization software (GenOpt). The cost optimization is applied to a new social housing construction - a multi-family building located in Northern Italy. The methodology that was adopted allows the simultaneous optimization of both the building energy demand (building envelope) and the building energy supply (technical systems and renewable sources). Results are compared with those obtained using a more widespread sequential approach whose purpose is firstly the optimization of one of these two factors, and subsequently the optimization of the other one. This study has demonstrated that an integrated approach allows a larger number of possible combinations of energy efficiency measures to be explored with respect to the sequential approach.
机译:在欧洲为减少建筑部门的能耗和二氧化碳排放而做出的努力的背景下,《建筑物能源性能指令》的第二次重塑促进了欧洲建筑存量的能源改造的加速。为此,必须进行成本优化,以找到能效措施的最佳组合,从而在建筑物的整个生命周期中将全球成本降至最低,这是该指令的第一次重铸建议。由于必须分析大量组合,因此必须使用自动化程序来减少计算时间。在这项工作中,由于结合了动态能量模拟软件(TRNSYS)和通用优化软件(GenOpt),因此设置了迭代的输入-输出过程。成本优化应用于新的社会住房建设-位于意大利北部的多户住宅。采用的方法可以同时优化建筑能源需求(建筑围护结构)和建筑能源供应(技术系统和可再生能源)。将结果与使用更广泛的顺序方法获得的结果进行比较,其目的是首先优化这两个因素之一,然后优化另一个因素。这项研究表明,综合方法允许就顺序方法探索更多的节能措施组合。

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