Two methods for decreasing the flexibility gap in national energy systems
Two methods for decreasing the flexibility gap in national energy systems
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DOI：
10.1016/j.energy.2016.07.151
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发表时间：
2016-11-15
期刊：
影响因子：
9
通讯作者：
Duic, Neven
中科院分区：
文献类型：
--
作者：
Bjelic, Ilija Batas;Rajakovic, Nikola;Duic, Neven
更多可变的可再生能源和能源效率措施造成了额外的灵活性差距，需要一种新的能源规划方法来实现可持续的国家能源系统。第一种方法只使用Energychain工具，以减少国家能源系统中的灵活性差距。通用优化程序（GenOpt）是一种用于最小化成本函数的优化程序，该成本函数由外部模拟程序（如EnergyMonitoring）评估，该程序在本研究中用作第二种方法。在塞尔维亚国家能源系统的情况下，使用两种方法对其结构设计验证了减少灵活性差距的成功策略：（1）迭代方法，基于化学和仅使用EnergyData的手动程序，以及（2）优化方法，基于EnergyData与GenOpt的软链接。后一种方法称为EPOPT（EnergyPlan-genOPT），以8190 M的总成本找到了可持续国家能源系统结构的解决方案，而迭代方法仅针对一个可持续性目标，只能以8251-8598 MC的成本找到解决方案。EPOPT方法的优点是它的准确性，用户友好性和最小的成本，是有价值的规划。(C)2016爱思唯尔有限公司版权所有。
More variable renewable energy sources and energy efficiency measures create an additional flexibility gap and require a novel energy planning method for sustainable national energy systems. The firstly presented method uses only EnergyPLAN tool in order to decrease the flexibility gap in a national energy system. Generic Optimization program (GenOpt) is an optimization program for the minimization of a cost function that is evaluated by an external simulation program, such as EnergyPLAN, which was used as the second method in this research. Successful strategies to decrease the flexibility gap are verified on the case of the Serbian national energy system using two methods for its structure design: (1) the iterative method, based on heuristics and manual procedure of using only EnergyPLAN, and (2) the optimization method, based on soft -linking of EnergyPLAN with GenOpt. The latter method, named EPOPT (EnergyPlan-genOPT), found the solution for the structure of the sustainable national energy system at the total cost of 8190 M, while the iterative method was only able to find solutions at the cost in the range of 8251-8598 MC by targeting only one sustainability goal. The advantages of the EPOPT method are its accuracy, user-friendliness and minimal costs, are valuable for planners. (C) 2016 Elsevier Ltd. All rights reserved.