Modelling of national and local interactions between heat and electricity networks in low-carbon energy systems
Modelling of national and local interactions between heat and electricity networks in low-carbon energy systems
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DOI：
10.1016/j.apenergy.2020.115522
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发表时间：
2020-10-15
期刊：
影响因子：
11.2
通讯作者：
Shah, Nilay
中科院分区：
文献类型：
--
作者：
Aunedi, Marko;Pantaleo, Antonio Marco;Shah, Nilay
供热和制冷行业的脱碳对于实现长期能源和气候变化目标至关重要。供暖/制冷和电力系统之间更紧密的整合可以提供支持可变可再生能源和其他低碳能源整合所需的额外灵活性。本文提出了一个框架，以确定具有成本效益的解决方案，在运营和投资的时间范围内提供区域供热系统，同时考虑到地方和国家层面的相互作用之间的热和电力基础设施。建议的优化模型最大限度地降低了供热技术组合的平准化成本，特别是热电联产（CHP）和多联产系统，集中式热泵（HP），集中式锅炉和热能储存（TES）。一些说明性的案例研究，量化的影响，可再生能源的渗透，电价波动，当地电网的限制和当地的排放目标，对最佳规划和运营的热生产资产。敏感性分析表明，成本最优的TES容量可以增加41-134%，以管理当地电网中的约束，而在具有较高RES渗透率的系统中，反映在较高的电价波动性中，与不变价格相比，将TES容量增加50-66%可能是最优的，允许集中式电力HP技术将间歇性可再生发电机产生的多余电力转移到供暖部门。这证实了反映供热技术的整个系统的价值在基本的成本效益分析的热力网络的重要性。
Decarbonisation of the heating and cooling sector is critical for achieving long-term energy and climate change objectives. Closer integration between heating/cooling and electricity systems can provide additional flexibility required to support the integration of variable renewables and other low-carbon energy sources. This paper proposes a framework for identifying cost-efficient solutions for supplying district heating systems within both operation and investment timescales, while considering local and national-level interactions between heat and electricity infrastructures. The proposed optimisation model minimises the levelised cost of a portfolio of heating technologies, and in particular Combined Heat and Power (CHP) and polygeneration systems, centralised heat pumps (HPs), centralised boilers and thermal energy storage (TES). A number of illustrative case studies are presented, quantifying the impact of renewable penetration, electricity price volatility, local grid constraints and local emission targets on optimal planning and operation of heat production assets. The sensitivity analysis demonstrates that the cost-optimal TES capacity could increase by 41-134% in order to manage a constraint in the local electricity grid, while in systems with higher RES penetration reflected in higher electricity price volatility it may be optimal to increase the TES capacity by 50-66% compared to constant prices, allowing centralised electric HP technologies to divert excess electricity produced by intermittent renewable generators to the heating sector. This confirms the importance of reflecting the whole-system value of heating technologies in the underlying cost-benefit analysis of heat networks.