Planning multiple energy systems for low-carbon districts with high penetration of renewable energy: An empirical study in China

被引:70
作者
Cheng, Yaohua [1 ]
Zhang, Ning [1 ]
Kirschen, Daniel S. [2 ]
Huang, Wujing [1 ]
Kang, Chongqing [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[2] Univ Washington, Dept Elect & Comp Engn, Seattle, WA 98195 USA
基金
中国国家自然科学基金;
关键词
Multiple energy systems; Energy hub; Carbon emission reduction; High renewable penetration; Empirical study; OPTIMAL-DESIGN; DEMAND RESPONSE; HUB; WIND; EXPANSION; STORAGE; CAPACITY; MODEL;
D O I
10.1016/j.apenergy.2019.114390
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
080707 [能源环境工程]; 082001 [油气井工程];
摘要
Multiple energy systems (MES) can exploit synergies among different energy sectors to optimize overall efficiency. They can accommodate renewable energy sources and reduce carbon emissions more economically than in systems where each energy sector is planned and operated separately. This paper describes the optimal planning of two real-world district MESs in China: Tongli new energy town and Tongzhou subsidiary administrative center. In addition to the conventional economy objective, two kinds of low-carbon targets, including the carbon emission target and renewable penetration target, are taken into account. The results show that investment decisions on coal-fired units, combined heat and power plants and renewable energy sources are significantly influenced by the choices of different targets. Reducing carbon emissions and increasing renewable energy integration generally work in tandem, but result in a higher planning cost. The average cost of reducing carbon emissions by 40% is 528 CNY/tCO(2) in Tongli and 327 CNY/tCO(2) in Tongzhou. Meanwhile, the average cost of achieving a 25% penetration of renewable energy is 468 CNY/MWh in Tongli and 363 CNY/MWh in Tongzhou. As expected, the cost of carbon reduction and renewable energy integration gradually rises as the targets tighten. Only a small fraction of the available renewable energy is curtailed (2.9% in Tongli and 8.3% in Tongzhou) even when the renewable penetration reaches 40% in both two systems. Finally, a sensitivity analysis illustrates the effect of planning parameters, including the carbon price, the capital cost of energy components and the fuel prices, on the planning results.
引用
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页数:11
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