Optimal capacity configuration model of power-to-gas equipment in wind-solar sustainable energy systems based on a novel spatiotemporal clustering algorithm: A pathway towards sustainable development

Shuaishuai Lv, Hui Wang, Xiangping Meng, Chengdong Yang and Mingyue Wang

Renewable Energy, 2022, vol. 201, issue P1, 240-255

Abstract: For wind-solar sustainable energy systems with a large amount of abandoned wind and solar energy and carbon dioxide emissions, a power-to-gas equipment can be introduced to synthesize methane together, which is an effective way to alleviate the greenhouse effect, improve the utilization rate of new energy, and promote sustainable development. Focusing on how to perform the optimal capacity configuration of the newly introduced power-to-gas equipment more accurately and simply, this paper make progress through a more similar scenario reduction and a more accurate power-to-gas capacity configuration model. First, in view of the problem that the existing scenario reduction methods are difficult to take into account the coherent temporal characteristics and spatial amplitude characteristics, a novel multi-source-load double-layer spatiotemporal clustering algorithm is proposed. Second, in view of the problem that the power-to-gas equipment can only capture the actual carbon dioxide, a more comprehensive model considering the coupling relationship of multi-energy flows such as electricity-natural gas-hydrogen-oxygen-actual carbon dioxide-virtual carbon dioxide is proposed. The example analysis shows that the proposed strategies can reduce the error rate of the power-to-gas capacity configuration with a similar calculation amount.

Keywords: Wind-solar sustainable energy system; Multi-source-load spatiotemporal clustering algorithm; Scenario reduction; Typical day; Power-to-gas capacity configuration (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148122015725
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:201:y:2022:i:p1:p:240-255

DOI: 10.1016/j.renene.2022.10.079

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().