Composite metric for simultaneous technical and economic analysis and optimization of energy conversion processes
Composite metric for simultaneous technical and economic analysis and optimization of energy conversion processes
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用于同步技术和经济分析以及能量转换过程优化的综合指标
DOI：
10.1016/j.jclepro.2018.01.029
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发表时间：
2018
影响因子：
11.1
通讯作者：
Zhou Huairong
中科院分区：
文献类型：
--
作者：
Yang Qingchun;Kraslawski Andrzej;Zhang Dawei;Zhou Huairong
对能源的需求急剧增加，与世界上有限的不可再生能源储量不相适应，迫使社会提高能源转换系统的效率。在能量转换系统的研究中，技术分析的重点是能量利用效率的最大化，而经济分析的重点是经济效益的最大化。因此，从这两种方法得到的结果往往是矛盾的。这些不一致不仅使决策复杂化，而且影响进一步的设计和优化。本文通过引入一个新的复合度量来解决这个问题。使用这种新的度量标准来评估和优化能量转换过程，可以防止节能但成本高或成本高但能源效率低的情况。以油页岩为对象，研究了新的评价指标.新的评价指标表明，油页岩干馏气制氢工艺的综合技术经济性能最好，为563.63 CNY/MJ，远高于常规油页岩干馏工艺的430.96 CNY/MJ。通过与主要是技术或经济的指标进行比较来评估新指标的绩效。结果表明，新的评价指标能够有效地权衡技术和经济性能，提供比其他评价指标更均衡的分析结果，尤其适用于集成过程的优化。
Dramatically increasing demand for energy is at odds with the world's finite reserves of non-renewable energy resources, obliging society to improve the efficiency of energy conversion systems. In study of energy conversion systems, technical analysis focuses on maximizing the energy utilization efficiency, whereas economic analysis focuses on maximizing the economic benefit. Thus the results obtained from the two approaches are often contradictory. These inconsistencies not only complicate decision making, but also affect further design and optimization. The paper addresses this problem by introducing a new composite metric. Use of this new metric for evaluation and optimization of energy conversion processes can prevent the situation of energy-efficient but costly or cost-efficient but energy-inefficient. The new metric is studied on an oil shale retorting process. The new metric indicates that the oil shale retorting process integrated with retorting gas used for hydrogen production has the best overall techno-economic performance, 563.63 CNY/MJ, much higher than that of conventional oil shale retorting process, 430.96 CNY/MJ. The performance of the new metric is appraised by comparison with indicators that are predominantly either technical or economic. The results show that the new metric can effectively trade-off the technical and economic performance and provides a more balanced analysis than other metrics, especially when applied to the optimization of integrated processes.
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