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Development of a multiobjective optimization procedure dedicated to the design of district energy concept

机译：致力于区域能源概念设计的多目标优化程序的开发

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Increasing energy efficiency in the building sector is essential if we are to meet the objectives of sustainable development. The district scale offers significant potential for improving energy efficiency, particularly at the early stages of the design. Thus, a transversal approach to the optimization of the energy concept of districts was adopted. It was undertaken using the DIMOSIM (District MOdeller and SIMulator) simulation platform, which provides a detailed analysis of a configuration. The energy, economic and environmental aspects were combined to obtain the best overall performance. The multiobjective optimization procedure is multi-level and includes direct search and the NSGA-ll evolutionary algorithm to deal with the specificities of this particular problem. Indeed, the search space contains continuous and discrete parameters, it is almost infinite and the objective functions are non-linear. This article describes the complete optimization procedure that was developed to solve this complex problem. A case study on the design of an eco-district illustrates the possibilities offered by this type of approach to obtain the best design solutions. (C) 2018 Elsevier B.V. All rights reserved.
机译：如果我们要实现可持续发展的目标，则必须提高建筑部门的能源效率。区域规模为提高能源效率提供了巨大潜力，尤其是在设计的早期阶段。因此，采用了一种横向方法来优化区域的能源概念。它是使用DIMOSIM（区模和模拟器）仿真平台进行的，该平台提供了详细的配置分析。能源，经济和环境方面相结合，以获得最佳的整体性能。多目标优化过程是多级的，包括直接搜索和NSGA-11进化算法来处理此特定问题的特殊性。实际上，搜索空间包含连续和离散的参数，几乎是无限的，目标函数是非线性的。本文介绍了为解决此复杂问题而开发的完整优化过程。一个有关生态区设计的案例研究说明了这种方法为获得最佳设计方案提供的可能性。 （C）2018 Elsevier B.V.保留所有权利。

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