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首页> 外文期刊>Sustainable Energy, IEEE Transactions on >A New Bi-Objective Approach for Optimal Sizing of Electrical and Thermal Devices in Zero Energy Buildings Considering Environmental Impacts
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A New Bi-Objective Approach for Optimal Sizing of Electrical and Thermal Devices in Zero Energy Buildings Considering Environmental Impacts

机译：一种新的双目标方法，用于考虑环境影响的零能量建筑中电气和热器件的最佳尺寸

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摘要

This paper proposes a new bi-objective optimization model, trading-off cost and environmental impacts, for sizing the key electrical and thermal devices in a zero energy building (ZEB), i.e., a building that roughly generates as much renewable energy as it consumes annually. A salient novel feature is the consideration of the environmental impacts, computed through a rigorous life cycle assessment approach, of buying electricity from the grid and manufacturing devices. Furthermore, an enhancement of the proposed model, as compared to the existing models, is to prioritize storing the ZEB excess of energy rather than selling it to the grid. The proposed solution approach of the initial mixed-integer nonlinear programming model relies on McCormick relaxation linearization to obtain a more tractable mixed-integer linear model. An augmented epsilon-constraint method is applied to solve the obtained bi-objective model. Finally, considering the building owners' willingness-to-pay for environmental impacts, a decision-making criterion is proposed to select the optimal size of the devices among all non-dominated solutions of the Pareto front.
机译：本文提出了一种新的双目标优化模型，交易所成本和环境影响，用于在零能量建筑物（Zeb）中，即大致产生尽可能多的可再生能源的建筑物每年。突出的新颖特征是考虑通过严格的生命周期评估方法计算的环境影响，从网格和制造设备购买电力。此外，与现有模型相比，提高了所提出的模型，是优先存储Zeb的超出能量而不是将其销售给网格。初始混合整数非线性编程模型的提出的解决方案方法依赖于McCormick弛豫线性化，以获得更具易易移动的混合整数线性模型。应用增强的epsilon约束方法来解决所获得的双目标模型。最后，考虑到建筑业主对环境影响的意愿，建议决策标准选择在帕累托前面的所有非主导的解决方案中选择设备的最佳大小。

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