期刊
APPLIED THERMAL ENGINEERING
卷 168, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.applthermaleng.2019.114834
关键词
-
资金
- National Natural Science Foundation of China [51874095]
This paper presents an optimization model for multi-period scheduling of an energy system in a steel plant. The objective function is constructed by the gasholder penalty cost (GPC), energy purchase cost (EPC) and carbon emission cost (CEC), which are used to evaluate the model. The model divides the gasholder into four operating intervals and the corresponding penalty of each interval is set. The couple of gas-steam-electricity is introduced into the model. The fitting curves are conducted to describe the operating characteristic of boilers and turbines in the self-power plants (SPPPs). The carbon emission factors supported by IPCC are used for the carbon calculation. The Optimal results showed that total cost is decreased by 2.97%, when the GPC is decreased by 52.37%, the EPC is decreased by 1.92% and the CEC is increased by 21.54%. The couple of gas-steam-electricity allows the optimization model to redistribute the energy sources to minimum the total cost. The efficiency of different type of boilers has different operation characteristics. The sensitivity analysis of the model on electricity trade price and coal purchase price are conducted. The analysis results show that the variation of those parameters would influence the electricity generation under different situation.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据