Municipal energy system modelling – A practical comparison of optimisation and simulation approaches
Municipal energy system modelling – A practical comparison of optimisation and simulation approaches
复制标题
市政能源系统建模——优化和模拟方法的实际比较
DOI：
10.1016/j.energy.2023.126803
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发表时间：
2023
期刊：
影响因子：
9
通讯作者：
W. Sparber
中科院分区：
文献类型：
--
作者：
R. Johannsen;Matteo Giacomo Prina;P. Østergaard;B. Mathiesen;W. Sparber
本文研究了在城市环境中应用优化和模拟方法对能源系统建模和场景设计的影响。在这样做的过程中，之前对什么构成“优化”和“模拟”的理解被进一步区分开来，并记录了概述的建模方法如何在现有文献中应用。在一个实际的比较中，它测试了建模方法的选择如何影响未来能源系统方案的设计，为市政案例研究。将提出的逐步模拟方法所获得的能源系统情景和结果与已建立的多目标优化方法进行了比较。结果表明，对于所调查的市政案例，可以通过基于模拟的方法获得与多目标优化结果相当的结果。最终，建模方法的选择是一个复杂的问题，建模者必须考虑建模自由的必要程度、涉众的参与和可用的系统知识。建模者不仅需要考虑使用什么工具，还要考虑如何使用；一个工具既可以用于优化，也可以用于模拟，两者都可以作为开发未来能源系统场景的有效方法。
This paper investigates the impact of applying optimisation and simulation approaches for energy system modelling and scenario design in a municipal context. In doing so, the previous understanding of what constitutes “optimisation” and “simulation” is expanded with further distinctions and it is documented how the outlined modelling approaches are applied in the existing literature. In a practical comparison, it is tested how the choice of modelling approach influences the design of future energy system scenarios for a municipal case study. The energy system scenarios and results obtained from a proposed stepwise simulation approach are compared to an established multi-objective optimisation approach. The results show that for the investigated municipal case it is possible to obtain results with a simulation-based approach that are comparable to the results obtained from multi-objective optimisation. Ultimately, the choice of modelling approach is a complex issue in which modellers must consider the necessary degree of modelling freedom, stakeholder involvement, and available system knowledge. Modellers need to consider not only what tool to use, but also how it is used; a tool can be used for both optimisation and simulation, and both can be valid approaches for developing future energy system scenarios.