A multi-objective MILP model for the design and operation of future integrated multi-vector energy networks capturing detailed spatio-temporal dependencies
A multi-objective MILP model for the design and operation of future integrated multi-vector energy networks capturing detailed spatio-temporal dependencies
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DOI：
10.1016/j.apenergy.2017.09.055
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发表时间：
2018-06-15
期刊：
影响因子：
11.2
通讯作者：
Samsatli, Nouri J.
中科院分区：
文献类型：
--
作者：
Samsatli, Sheila;Samsatli, Nouri J.
提出了一种基于混合整数线性规划的多目标优化模型，该模型可以同时确定任何集成多矢量能源网络的设计和运行。它可以回答以下问题的各种变体：在成本、价值/利润和/或排放方面，考虑到初级资源的可用性和需求水平及其在空间和时间上的分布，设计和运营综合多矢量能源网络的最有效方式是什么？何时对技术进行投资，在何处投资;应使用何种资源，在何处、何时和如何将其转化为所需的能源服务;如何运输资源和管理库存？对英国的设想方案进行了审查，涉及天然气、生物量和风力等不同的一次能源，以通过电力、天然气、氢气和合成气等各种能源载体满足对热、电和流动性的需求。考虑了不同的目标，如最小化成本，最大化利润，最小化排放和最大化可再生能源生产，取决于生物质和风力涡轮机的合适土地的可用性，以及天然气的最大本地生产和进口率。结果表明，如果氢动力燃料电池汽车满足了重要的机动性需求，那么氢是首选的能源载体，而不是天然气，以满足热量需求。如果不使用天然气，只能从风力和生物质中产生能量，那么电力和合成气是满足电力和热量需求的首选能源载体。
A multi-objective optimisation model, based on mixed integer linear programming, is presented that can simultaneously determine the design and operation of any integrated multi-vector energy networks. It can answer variants of the following questions:What is the most effective way, in terms of cost, value/profit and/or emissions, of designing and operating the integrated multi-vector energy networks that utilise a variety of primary energy sources to deliver different energy services, such as heat, electricity and mobility, given the availability of primary resources and the levels of demands and their distribution across space and time? When to invest in technologies, where to locate them; what resources should be used, where, when and how to convert them to the energy services required; how to transport the resources and manage inventory?Scenarios for Great Britain were examined involving different primary energy sources, such as natural gas, biomass and wind power, in order to satisfy demands for heat, electricity and mobility via various energy vectors such as electricity, natural gas, hydrogen and syngas. Different objectives were considered, such as minimising cost, maximising profit, minimising emissions and maximising renewable energy production, subject to the availability of suitable land for biomass and wind turbines as well as the maximum local production and import rates for natural gas.Results suggest that if significant mobility demands are met by hydrogen-powered fuel cell vehicles, then hydrogen is the preferred energy vector, over natural gas, for satisfying heat demands. If natural gas is not used and energy can only be generated from wind power and biomass, electricity and syngas are the preferred energy carriers for satisfying electricity and heat demands.