摘要
针对油田应用广泛的低温余热资源和峰谷电价政策,建立了基于逐时负荷分析和内部收益率法的蓄热优化算法模型和自编程序求解。以实际项目为例,实现最佳蓄热规模求解,经济界限分析,并输出蓄热系统运行策略。
Aiming at the low-temperature waste heat resources and peak-valley electricity price policy in oilfields,an optimization algorithm model and a self-programmed solution for heat storage based on hourly load analysis and internal rate of return(IRR)method are established.Taking the actual project as an example,the optimization model can solve optimal heat storage scale,analyze economic limits and output operation strategy for the heat storage system.
作者
李瑞霞
郭啸峰
Li Ruixia;Guo Xiaofeng(New Energy Researching Institute,Sinopec Star Petroleum Co.,Ltd.,Beijing 100083,China;China National Research and Technology Center of Geothermal Energy,Beijing 100083,China)
出处
《当代石油石化》
CAS
2020年第1期37-41,共5页
Petroleum & Petrochemical Today
关键词
蓄热技术
油田余热
峰谷电价
算法模型
应用分析
heat storage technology
waste heat in oilfield
peak-valley electricity price
algorithm model
application and analysis