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Effectiveness of optimization procedures on the economic profitability of a virtual tri-generation power plant connected to a district heating cooling network
Energy Conversion and Management ( IF 10.4 ) Pub Date : 2022-11-16 , DOI: 10.1016/j.enconman.2022.116466
M. Grigiante , G. Mottes , A. Buratti

This study investigates the impact of an optimized schedule procedure in enhancing the Economic Profitability (EP) of a tri-generation energy facility located in the Northern Italy and connected to a local District Heating and Cooling (DHC) network.

The FICOTM Xpress Software has been utilized to optimize the thermal and electrical scheduling of the Combined Heating Cooling Power Plant (CHCPP)–DHC system by making use of both the effective exercise parameters of the CHCPP machines and a series of heating/cooling data loads delivered to the grid and appropriately selected from those considered representative of each season. The complex evolution of the traditional energy market has suggested to improve the optimization procedure by including the constrains resulting from the subscription of a Virtual Power Plant Management (VPPM) agreement. As main purpose, this work analyses and compares the impact that the implementation of both the adopted optimization procedure and the subscription of the VPPM contract can have in enhancing the EP index of the investigated energy facility. The outcomes of this analysis evidence that the acceptance of the VPPM can entail a positive impact of the entire EP index of the facility. This happens at the condition that the machines are rescheduled at the exercise conditions resulting from the simultaneous implementation of an optimization procedure. Therefore, this study highlights the importance of the optimization procedures in enhancing the global energy efficiency of complex energy systems. Furthermore, it demonstrates the role that innovative management solutions, as those represented by the emerging VPPM opportunities, could have in making the existing energy plants active players in the future Distributed Energy Generation (DEG) scenarios.



中文翻译:

优化程序对连接到区域供热制冷网络的虚拟三代发电厂经济盈利能力的有效性

本研究调查了优化计划程序对提高位于意大利北部并连接到当地区域供热和制冷 ( DHC ) 网络的三代能源设施的经济盈利能力 ( EP ) 的影响。

FICOTM Xpress 软件已被用于优化热电联供冷热电厂 ( CHCPP)–DHC系统的热电调度,方法是利用CHCPP机器的有效运行参数和一系列交付的热/冷数据负载到网格,并从那些被认为具有每个季节代表性的人中适当地选择。传统能源市场的复杂演变建议通过纳入虚拟电厂管理 ( VPPM ) 协议订阅产生的约束来改进优化程序。作为主要目的,这项工作分析和比较了采用的优化程序和订阅的影响。VPPM合同可以提高被调查能源设施的EP指数。该分析的结果表明,接受VPPM可能会对设施的整个EP指数产生积极影响。这发生在机器被重新安排在由同时实施优化程序产生的练习条件下的情况下。因此,本研究强调了优化程序在提高复杂能源系统的全球能源效率方面的重要性。此外,它展示了以新兴的VPPM为代表的创新管理解决方案的作用机会,可能会使现有的能源工厂成为未来分布式能源发电 ( DEG ) 场景中的积极参与者。

更新日期:2022-11-16
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