不同工况下区域供热柔性方案比较的模块化联合仿真平台

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Pietro Rando Mazzarino;Martina Capone;Elisa Guelpa;Lorenzo Bottaccioli;Vittorio Verda;Edoardo Patti
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引用次数: 0

摘要

综合建模与仿真是优化城市能源规划的关键。现有的特定行业分析在表示跨基础设施的交互方面存在实现限制,限制了优化潜力。从系统角度模拟多个相互作用组件的集成框架可以揭示城市能源网络的效率提高、灵活性和协同效应,从而指导可持续能源转型。联合仿真方法在区域供热系统等复杂互联系统的分析中受到越来越多的关注。传统的单一学科模型在充分表示区域供热网络和相关子系统(如建筑和能源生产中的子系统)之间的互联性方面存在局限性。因此,我们提出了一个基于联合仿真的框架来模拟DH系统的行为,同时很容易地集成其他子系统和功能模拟单元(FMU)模拟器的模型。我们针对需求侧管理(DSM)和基于存储的策略测试了这种即插即用模块化框架,评估了它们在降低网络温度的同时减少峰值的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Modular Co-Simulation Platform for Comparing Flexibility Solutions in District Heating Under Variable Operating Conditions
Integrated modeling and simulation are crucial for optimizing cities’ energy planning. Existing sector-specific analyses have implementation limitations in representing interactions across infrastructures, limiting optimization potentials. An integrated framework simulating multiple interacting components from a systemic perspective could reveal efficiency gains, flexibility, and synergies across urban energy networks to guide sustainable energy transitions. Co-simulation approaches are gaining attention for analyzing complex interconnected systems like District Heating (DH). Traditional single-discipline models present limitations in fully representing the interconnectivity between district heating networks and related subsystems, such as those in buildings and energy generation. Therefore, we propose a co-simulation based framework to simulate DH system behavior while easily integrating models of other subsystems and Functional Mock-up Unit (FMU) simulators. We tested this Plug&Play modular framework for Demand Side Management (DSM) and Storage-based strategies, evaluating their effectiveness in peak reduction while lowering the temperatures of the network.
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来源期刊
IEEE Transactions on Sustainable Computing
IEEE Transactions on Sustainable Computing Mathematics-Control and Optimization
CiteScore
7.70
自引率
2.60%
发文量
54
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