Sustainable Residential Micro-Cogeneration System Based on a Fuel Cell Using Dynamic Programming-Based Economic Day-Ahead Scheduling,ACS Sustainable Chemistry & Engineering

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Sustainable Residential Micro-Cogeneration System Based on a Fuel Cell Using Dynamic Programming-Based Economic Day-Ahead Scheduling
ACS Sustainable Chemistry & Engineering ( IF 7.1 ) Pub Date : 2021-02-02 , DOI: 10.1021/acssuschemeng.0c08725
Li Sun _{1,

2} , Yuhui Jin ₁ , Jiong Shen ₁ , Fengqi You ₂

Affiliation

Fuel cells are widely deemed as a sustainable cogeneration technology that promises great decarbonization potential. However, economic operations of such sustainable energy systems are challenging because of the coupling between the heat and power generation, as well as the imbalance between the production and consumption. To this end, this paper proposes an economic day-ahead scheduling strategy for a sustainable cogeneration system, consisting of fuel cell, battery, thermal energy storage (TES), and heat pump. Based on the component models, a dynamic programming framework is formulated, in which the optimization objective is minimizing the accumulative fuel consumption and the constraints are derived from safety requirements. Optimization based on a typical 24-h load profile results in an hourly heat and power flow pattern to exhibit a highly coordinated and complementary operation scenario within the whole planning horizon. The benefits of energy storage are fully exploited and the energy-saving potential of each component is explored. It is revealed that the incorporation of TES into the sustainable energy systems brings about 3.5% overall efficiency improvement and healthier battery operations. The effects of TES capacity on the efficiency of the sustainable energy systems are also discussed.

中文翻译：

基于燃料电池的基于动态编程的经济日前调度的可持续住宅微型热电联产系统

燃料电池被广泛认为是可持续的热电联产技术，有望带来巨大的脱碳潜力。然而，由于热能和发电之间的耦合以及生产和消费之间的不平衡，这种可持续能源系统的经济运行具有挑战性。为此，本文提出了一种可持续的热电联产系统的经济日前调度策略，该系统由燃料电池，电池，热能存储（TES）和热泵组成。基于组件模型，制定了一个动态编程框架，其中的优化目标是使累积油耗最小化，并从安全要求中得出约束条件。基于典型的24小时负荷曲线的优化会产生每小时的热量和功率流模式，从而在整个计划范围内展现出高度协调和互补的运行方案。充分利用了储能的好处，并探索了每个组件的节能潜力。据透露，将TES并入可持续能源系统可带来3.5％的整体效率提升和更健康的电池运行。还讨论了TES能力对可持续能源系统效率的影响。据透露，将TES并入可持续能源系统可带来3.5％的整体效率提升和更健康的电池运行。还讨论了TES能力对可持续能源系统效率的影响。据透露，将TES并入可持续能源系统可带来3.5％的整体效率提升和更健康的电池运行。还讨论了TES能力对可持续能源系统效率的影响。

更新日期：2021-03-01

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