4.7 Article

Optimization of multi-carrier energy system based on new operation mechanism modelling of power-to-gas integrated with CO2-based electrothermal energy storage

期刊

ENERGY
卷 216, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.119269

关键词

Power-to-gas; Excess wind power; Multi-carrier energy system; CO2-based electrothermal energy storage; Coordinated operation; Operation optimization

资金

  1. National Natural Science Foundation of China [52077083]
  2. National Basic Research Program of China [2013CB228205]
  3. Guangdong Electric Power Trading Center Co. [GDKJXM20172986]

向作者/读者索取更多资源

The rapid development of power-to-gas (P2G) technology has promoted the integration of renewable energy and improved the efficiency of wind energy recovery. An MES optimization model considering CO2-based ETES has been established to enhance the utilization of surplus wind power.
The rapid development of power-to-gas (P2G) technology promotes the integration of renewable energy and converts excess renewable generation to synthetic natural gas at the appropriate time. However, with only a 45% conversion rate, P2G recycles wind energy inefficiently because a significant percentage of energy is lost in the form of heat via electrolysis. With the increasing demands of the multi-carrier energy system (MES), the greater recycling of surplus wind electricity via P2G can meet the growing energy demand and reduce the cost of the system. To increase the conversion efficiency of P2G, this paper establishes an MES optimization model based on the coordinated operation modelling of P2G and CO2-based electrothermal energy storage (ETES). This model considers heat recovery in the power-to-hydrogen process. CO2-based ETES is introduced as a storage element for heat recovery in the electrolysis process, which also participates in the methanation reaction as a CO2 supplier. Formulations to explain the coordinated operation of the CO2-based ETES and P2G are derived as well. The optimization model is further linearized to a tractable version and solved by popular optimization solvers. Case studies show that the model established in this study achieves more than a 70.5% recovery efficiency of the excess wind power. (C) 2020 Elsevier Ltd. All rights reserved.

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。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据