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A Multi-objective Approach to Balance Buildings Construction Cost and Energy Efficiency

机译:平衡建筑物施工成本和能源效率的多目标方法

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The issue of energy efficiency of buildings must be taken into account as early as possible in the life cycle of buildings, i.e., during the architectural phase. The orientation of the building, its structure, the choice of materials, windows and other openings, all these aspects participate to the future energy consumption profile in a complex and highly non-linear way. Furthermore, even though sustainability is today a major objective, the cost of the construction remains another decision factor that cannot be underestimated - and energy efficiency and cost are alas contradictory objectives. Thus the problem of designing efficient buildings is a multi-objective problem. This work tackles this problem using a state-of-the-art evolutionary multi-objective algorithm, HYPE, tightly linked to an energy consumption simulation program, EnergyPlus. Several parameters defining the design are considered, namely the orientation angle, the materials used for the thermal insulation of the walls, and the size of the windows in order to explore daylighting. In the end, a diverse set of Pareto optimal solutions (i.e., solutions offering optimal tradeoffs between both objectives) are proposed to the decision maker. The approach is validated on five buildings of different categories, where energy savings of up to 20% compared to the original design are automatically obtained.
机译:在建筑物的生命周期中,必须尽早考虑建筑物的能源效率问题,即在建筑阶段。建筑物的方向,其结构,材料的选择,窗户和其他开口,所有这些方面都以复杂和高度非线性的方式参与未来的能耗概况。此外,尽管今天的可持续性是一个重大目标,但施工的成本仍然是另一个不能低估的决策因素 - 而能效和成本是ALAS矛盾的目标。因此,设计有效建筑物的问题是一个多目标问题。这项工作使用最先进的进化多目标算法,炒作,与能量消耗仿真程序,EnergyPlus紧密相关的解决这个问题。限定设计有几个参数被考虑,即定向角,用于壁的热绝缘材料,以及窗口,以探讨采光大小。最后,向决策者提出了一种多样化的帕累托最佳解决方案(即,在两个目标之间提供最佳权衡)。该方法在不同类别的五个建筑物上验证,与原始设计相比,能节省高达20%的能量。

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