贾晓强, 李德智, 陈洪银. 考虑碳交易的工业园区多源冷热电联供系统优化运行策略[J]. 动力工程学报, 2023, 43(8): 1095-1102. DOI: 10.19805/j.cnki.jcspe.2023.08.018
引用本文: 贾晓强, 李德智, 陈洪银. 考虑碳交易的工业园区多源冷热电联供系统优化运行策略[J]. 动力工程学报, 2023, 43(8): 1095-1102. DOI: 10.19805/j.cnki.jcspe.2023.08.018
JIA Xiaoqiang, LI Dezhi, CHEN Hongyin. Optimal Operation Strategy of Multi-source Cogeneration System for Industrial Park Considering Carbon Trading[J]. Journal of Chinese Society of Power Engineering, 2023, 43(8): 1095-1102. DOI: 10.19805/j.cnki.jcspe.2023.08.018
Citation: JIA Xiaoqiang, LI Dezhi, CHEN Hongyin. Optimal Operation Strategy of Multi-source Cogeneration System for Industrial Park Considering Carbon Trading[J]. Journal of Chinese Society of Power Engineering, 2023, 43(8): 1095-1102. DOI: 10.19805/j.cnki.jcspe.2023.08.018

考虑碳交易的工业园区多源冷热电联供系统优化运行策略

Optimal Operation Strategy of Multi-source Cogeneration System for Industrial Park Considering Carbon Trading

  • 摘要: 为研究参与碳交易对多源冷热电联供系统运行策略的影响,以某工业园区为研究对象,构建了包含储能的园区多源冷热电联供系统。以热电联供(CHP)机组电热特性、爬坡功率限制和供需平衡等作为约束条件,以包含运行成本和碳交易成本的年综合成本作为优化目标,研究了光伏利用面积占比(x)和余热锅炉输入吸收式制冷机的热量分配系数(μ)等参数对多源冷热电联供系统综合成本和碳排放的影响。结果表明:光伏设备对多源冷热电联供系统经济性的影响高于光热设备,x为90%时经济性最佳,四季典型日μ的取值范围分别为0,1、0.74,1、0,1和0,0.21,应根据季节和需求合理取值。

     

    Abstract: In order to study the impact of participating in carbon trading on the operation strategy of multi-source cogeneration system combined cooling heating and power, taking an industrial park as the research object, a multi-source cogeneration system including energy storage was constructed. Taking the electrothermal characteristics, climbing power limit of combined heating and power(CHP) and supply-demand balance as constraints and the annual comprehensive cost including operation cost and carbon transaction cost as optimization objectives, the effects of parameters including the proportion of photovoltaic utilization area(x) and the heat distribution coefficient of waste heat boiler input absorption chiller(μ) on the comprehensive cost and carbon emission of the system were studied. Results show that photovoltaic equipment has a greater impact on the system economy than solar boiler. The best economy is obtained when x is 90%. The ranges of μ in four seasons are 0,1, 0.74,1, 0,1, 0,0.21, which should be valued reasonably according to season and demand.

     

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