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Multi-objective optimization of a solar-hybrid cogeneration cycle: Application to CGAM problem

机译:太阳能混合热电联产循环的多目标优化:在CGAM问题中的应用

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摘要

With increasing energy costs generally and oil prices in particular, and the global drive to reduce carbon emissions, renewable energy is considered by many as one way to address the economic and environmental issues associated with fossil fuel consumption. Solar power tower technology is practical for utilization in conventional fossil fired power cycles, in part because it can achieve temperatures as high as 1000 ℃. An exergoeconomic multi-objective optimization is reported here of a solar-hybrid cogeneration cycle. Modifications are applied to the well-known CGAM problem through hybridization by appropriate heliostat field design around the power tower to meet the plant's annual demand. The new cycle is optimized via a multi-objective genetic algorithm in Matlab optimization toolbox. Considering exergy efficiency and product cost as objective functions, and principal variables as decision variables, the optimum point is determined according to Pareto frontier graphs. The corresponding optimum decision variables are set as inputs of the system and the technical results are a 48% reduction in fuel consumption which leads to a corresponding decrease in CO_2 emissions and a considerable decrease in chemical exergy destruction as the main source of irreversibility. In the analyses, the net power generated is fixed at 30 MW with a marginal deviation in order to compare the results with the conventional cycle. Despite the technical advantages of this scheme, the total product cost rises significantly (by about 87%), which is an expected economic outcome.
机译:随着能源成本普遍上升,尤其是石油价格上涨,以及全球减少碳排放的动力,可再生能源被许多人视为解决与化石燃料消耗有关的经济和环境问题的一种方法。太阳能塔技术可用于常规化石火力发电循环,部分原因是它可以达到高达1000℃的温度。这里报道了太阳能混合热电联产循环的能效经济多目标优化。通过围绕电力塔进行适当的定日镜现场设计,通过杂交来对已知的CGAM问题进行修改,以满足工厂的年度需求。通过Matlab优化工具箱中的多目标遗传算法对新循环进行了优化。以火用效率和产品成本为目标函数,以主变量为决策变量,根据帕累托边界图确定最优点。相应的最佳决策变量被设置为系统的输入,技术结果是燃料消耗减少了48%,从而导致了CO_2排放量的相应减少以及作为不可逆性主要来源的化学能级破坏的显着减少。在分析中,所产生的净功率固定为30 MW,且有一定的边际偏差,以便将结果与常规循环进行比较。尽管此方案具有技术优势,但总产品成本却显着增加(约87%),这是预期的经济结果。

著录项

  • 来源
    《Energy Conversion & Management》 |2014年第5期|60-71|共12页
  • 作者单位

    Faculty of Engineering and Applied Science, University of Ontario Institute of Technology (UOIT), Oshawa, Ontario L1H 7K4, Canada;

    Faculty of Mechanical Engineering, Technische Universitaet Muenchen (TUM), Muenchen, Bayern, Germany;

    Mechanical Engineering Department, Mazandaran University of Science and Technology, Mazandaran, Iran;

    Energy and Thermal Science Division, Department of Mechanical Engineering, University of Qom, Qom, Iran;

    Faculty of Engineering and Applied Science, University of Ontario Institute of Technology (UOIT), Oshawa, Ontario L1H 7K4, Canada;

    Energy and Process Integration Research Center, Department of Energy Systems Engineering, Faculty of Mechanical Engineering, K.N. Toosi University of Technology, P.O. Box 19395-1999, Tehran, Iran;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Renewable energy; Solar energy; Solar power tower; Multi-objective optimization; Cogeneration; CGAM problem;

    机译:再生能源;太阳能;太阳能塔;多目标优化;热电联产;CGAM问题;

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