Combined Analytic Hierarchy Process and Weighted Interval Method Models for the Geological Evaluation of CO 2 Storage in Coal Goaf

Dongzhuang Hou (), Yifei Xiao, Lang Liu and Chao Huan
Additional contact information
Dongzhuang Hou: College of Geology and Environment, Xi’an University of Science and Technology, Xi’an 710054, China
Yifei Xiao: College of Geology and Environment, Xi’an University of Science and Technology, Xi’an 710054, China
Lang Liu: College of Energy Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
Chao Huan: College of Energy Engineering, Xi’an University of Science and Technology, Xi’an 710054, China

Energies, 2024, vol. 17, issue 11, 1-18

Abstract: The increasing concentration of CO 2 in the atmosphere is a major factor contributing to climate change. CO 2 storage in coal goaf is a convenient, effective, and economical solution. Methods to quickly and effectively evaluate geological conditions are urgently required. The main influencing factors are geological safety, storage potential, economics, and environmental protection; these include 4 aspects, 38 indexes, and 4 index levels that can be quantified using classification levels. We established a geological evaluation model, using analytic hierarchy process (AHP) and weighted interval methods. AHP was used to determine its elements, indicators, and inter-layer relationships, as well as to clarify its structural relationships. The weight interval method is used to evaluate unstable elements, reducing their difficulty, and constant values are used to assign weights of stable elements to increase accuracy. This model was applied to assess the suitability of the goaf in Yaojie mine for geological CO 2 storage. The results revealed that this goaf is an above average CO 2 storage space, which was consistent with previous research. This geological CO 2 storage evaluation model may also be used to assess the CO 2 storage suitability of other coal goafs.

Keywords: CO 2 geological storage; coal goaf; geological evaluation; weighted interval method; analytic hierarchy process (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/11/2672/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/11/2672/ (text/html)

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:gam:jeners:v:17:y:2024:i:11:p:2672-:d:1406144

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().