| Issue |
E3S Web Conf.
Volume 358, 2022
5th International Conference on Green Energy and Sustainable Development (GESD 2022)
|
|
|---|---|---|
| Article Number | 02015 | |
| Number of page(s) | 4 | |
| Section | Regular Contributions | |
| DOI | https://doi.org/10.1051/e3sconf/202235802015 | |
| Published online | 27 October 2022 | |
Identification of potential CCUS clusters and its pipeline network optimization in China
1 Oil Production Technology Institute, Dagang Oilfield Company, CNPC, Tianjin, 300280, China
2 CNPC Dagang Oil Company, Tianjin, 300280, China
3 No.5 Oil Production Plant, Dagang Oilfeild Company, PetroChina, Tianjin, 300280, China
4 Tianjin Undergroud Gas Storage Company, Petrochina Dagang Oilfield Company, Tianjin, 300280, China
5 No.1 Oil Production Plant, Dagang Oilfeild Company, PetroChina, Tianjin, 300280, China
* Corresponding author: wxiaoy05@petrochina.com.cn
Climate change is a huge challenge facing the world. Carbon Capture, Utilization and Storage (CCUS) is an important technology that is expected to ensure the continued safe and large-scale use of fossil energy under the pressure of climate change in China. However, the current CCUS project has a large initial investment, and it is difficult to realize the commercialization of CCUS technology. The development of CCUS cluster centers can effectively reduce the overall investment of CCUS projects, which is the development trend of CCUS projects. This study identified 20 coal-fired power plant cluster centers and 6 oil and gas field gathering and transportation centers by utilizing Chinese coal-fired power plant data and oil and gas field data. Finally, the CO2 pipe network between the cluster centers is planned. This study provides data and research methods for identifying potential CCUS clusters and storage and transportation centers in China. It can provide a theoretical reference for further research on the matching site selection of CO2 transport pipelines and CO2 sources and sinks in China.
Key words: CCUS cluster / Pipeline network optimization / CO2 transport
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
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