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ExRET-Opt: An automated exergy/exergoeconomic simulation framework for building energy retrofit analysis and design optimisation

机译:ExRET-Opt:用于建筑能源改造分析和设计优化的自动化的火用/经济模拟框架

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摘要

Energy simulation tools have a major role in the assessment of building energy retrofit (BER) measures. Exergoeconomic analysis and optimisation is a common practice in sectors such as the power generation and chemical processes, aiding engineers to obtain more energy-efficient and cost-effective energy systems designs. ExRET-Opt, a retrofit-oriented modular-based dynamic simulation framework has been developed by embedding a comprehensive exergy/exergoeconomic calculation method into a typical open-source building energy simulation tool (EnergyPlus). The aim of this paper is to show the decomposition of ExRET-Opt by presenting modules, submodules and subroutines used for the framework’s development as well as verify the outputs with existing research data. In addition, the possibility to perform multi-objective optimisation analysis based on genetic-algorithms combined with multi-criteria decision making methods was included within the simulation framework. This addition could potentiate BER design teams to perform quick exergy/exergoeconomic optimisation, in order to find opportunities for thermodynamic improvements along the building’s active and passive energy systems. The enhanced simulation framework is tested using a primary school building as a case study. Results demonstrate that the proposed simulation framework provide users with thermodynamic efficient and cost-effective designs, even under tight thermodynamic and economic constraints, suggesting its use in everyday BER practice.
机译:能源模拟工具在评估建筑能源改造(BER)措施中起着重要作用。能效经济分析和优化是发电和化学过程等领域的常见实践,可帮助工程师获得更节能,更具成本效益的能源系统设计。通过将综合的火用/经济计算方法嵌入典型的开源建筑能源模拟工具(EnergyPlus)中,已开发了ExRET-Opt,这是一种面向改造的,基于模块的动态模拟框架。本文的目的是通过介绍用于框架开发的模块,子模块和子例程来展示ExRET-Opt的分解,并使用现有研究数据验证输出。此外,在模拟框架内还包括了基于遗传算法和多准则决策方法进行多目标优化分析的可能性。这种增加可能会增强BER设计团队的效率,使其迅速进行火用/经济优化,从而找到沿建筑物的主动和被动能源系统进行热力学改进的机会。使用小学建筑作为案例研究对增强的模拟框架进行了测试。结果表明,即使在严格的热力学和经济约束下,所提出的仿真框架也为用户提供了热力学高效且具有成本效益的设计,这表明其可在日常BER实践中使用。

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