中国电力 ›› 2016, Vol. 49 ›› Issue (4): 141-145.DOI: 10.11930/j.issn.1004-9649.2016.04.141.05

• 发电 • 上一篇    下一篇

燃气分布式能源的多目标敏感性分析研究

吴凯槟,许朝阳,邱泽晶,彭旭东,王振宇   

  1. 国网电力科学研究院能效测评中心,湖北 武汉 430074
  • 收稿日期:2015-10-12 修回日期:2016-04-27 出版日期:2016-04-20 发布日期:2016-04-27
  • 作者简介:吴凯槟(1987-),男,河南许昌人,工程师,从事燃气分布式能源、火电热力系统、电能替代领域研究工作。E-mail: wu331359424@126.com

Multi-Objective Sensitivity Analysis of Gas-Fired Distributed Energy Resource

WU Kaibin, XU Chaoyang, QIU Zejing, PENG Xudong, WANG Zhenyu   

  1. Energy Efficiency Assessment Center, National Grid EPRI, Wuhan 430074, China
  • Received:2015-10-12 Revised:2016-04-27 Online:2016-04-20 Published:2016-04-27

摘要: 为了获取对燃气分布式能源能效、经济、环保影响较大的参数,进而指导项目的建设与运行,建立燃气分布式能源系统在热力性能、工程经济性、环保性能方面的能效计算与敏感性分析模型。以某国际机场燃气分布式能源为例,对其进行能效分析与敏感性分析,分析结果表明,提高发电效率、制冷系统COP(制冷系数),有利于一次能源节约率的大幅提高; 天然气价和冷价对系统经济性的影响较大,在燃气分布式能源项目的设计应用中需充分考虑; NOx和SO2对减排量收入的影响非常突出,CO2对环境影响方面更为突出。

关键词: 燃气分布式能源, 能效计算模型, 多目标参数, 敏感性分析

Abstract: In order to acquire the parameters with higher impacts on the energy efficiency, economical efficiency and environment economy of the gas-fired distributed energy for the purpose of supervising the construction and operation of the projects, in this paper the efficiency calculation and sensitivity analysis model is established in terms of the thermal performance, engineering economy and environmental performance of the gas-fired distributed energy resource system. In addition, a case study of the gas-fired distributed energy project for an international airport is conducted. The results show that the improvement in power generation efficiency and cooling system COP are helpful for the substantial increase in primary-energy-saving rate. The prices of natural gas and cold have greater impacts on system economy and should be given full consideration in the design and application of gas-fire distributed energy projects. NOx and SO2 have significant impacts on the emission reduction income while CO2 has greater impact on the environment.

Key words: gas distributed energy, energy efficiency calculation model, multi-objective parameter, sensitivity analysis

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