PMID- 37809878
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231030
IS  - 2405-8440 (Print)
IS  - 2405-8440 (Electronic)
IS  - 2405-8440 (Linking)
VI  - 9
IP  - 9
DP  - 2023 Sep
TI  - AHP algorithm used to select suitable abandoned underground mines for energy 
      storage infrastructure - iCAES technology. A specific case study for Leon 
      (Spain).
PG  - e20045
LID - 10.1016/j.heliyon.2023.e20045 [doi]
LID - e20045
AB  - In the energy transition, the promotion of renewable sources entails the 
      development of storage technologies to manage the mismatch between energy 
      production and demand. In this scenario, the use of CAES (Compressed Air Energy 
      Storage) technology enables the efficient and cost-effective storage of large 
      amounts of energy. However, this technology is developed in salt domes who have 
      an inherent risk associated of underground exploration phase. To address this, we 
      propose to develop an infrastructure (iCAES) in abandoned underground mines, 
      where the exploration phase is completed and well known. For its implementation, 
      this paper defines a structure hierarchization method gathers the technical and 
      socio-economic criteria. It involves a multi-criteria problem, and the correct 
      selection of the location must be based on specific mathematical algorithms. For 
      this case the Analytic Hierarchy Process (AHP) from multi-criteria decision 
      making (MCDM) methods allows quantified by means of a scientific and mathematical 
      scale and the assignment of weights, so that it is possible to evaluate different 
      alternatives. This is possible thanks to the application of the AHP model in 
      absolute terms. The information gathering has been based on the specific case 
      study of coal basins in the north of Spain, in the region of Leon. Considering 
      the proposed methodology, the most suitable alternative locations to implement 
      iCAES in the region of Leon were identified.
CI  - (c) 2023 The Authors. Published by Elsevier Ltd.
FAU - Pous de la Flor, Juan
AU  - Pous de la Flor J
AD  - Universidad Politecnica de Madrid (UPM), Alenza 4, E-28003, Madrid, Spain.
FAU - Castaneda, M Cruz
AU  - Castaneda MC
AD  - Universidad Politecnica de Madrid (UPM), Alenza 4, E-28003, Madrid, Spain.
FAU - Arlandi, Manuel
AU  - Arlandi M
AD  - Tuneles y Geomecanica, E-28037, Madrid, Spain.
FAU - Ordas, Fernando
AU  - Ordas F
AD  - Fundacion Santa Barbara, E-24310, Leon, Spain.
FAU - Pous Cabello, Juan
AU  - Pous Cabello J
AD  - Universidad Politecnica de Madrid (UPM), Alenza 4, E-28003, Madrid, Spain.
LA  - eng
PT  - Journal Article
DEP - 20230912
PL  - England
TA  - Heliyon
JT  - Heliyon
JID - 101672560
PMC - PMC10559770
OTO - NOTNLM
OT  - Abandoned underground mines
OT  - Analytic hierarchy process
OT  - CAES
OT  - Energy storage
OT  - Site selection
COIS- The authors declare that they have no known competing financial interests or 
      personal relationships that could have appeared to influence the work reported in 
      this paper.
EDAT- 2023/10/09 06:42
MHDA- 2023/10/09 06:43
PMCR- 2023/09/12
CRDT- 2023/10/09 05:57
PHST- 2023/05/05 00:00 [received]
PHST- 2023/08/24 00:00 [revised]
PHST- 2023/09/08 00:00 [accepted]
PHST- 2023/10/09 06:43 [medline]
PHST- 2023/10/09 06:42 [pubmed]
PHST- 2023/10/09 05:57 [entrez]
PHST- 2023/09/12 00:00 [pmc-release]
AID - S2405-8440(23)07253-5 [pii]
AID - e20045 [pii]
AID - 10.1016/j.heliyon.2023.e20045 [doi]
PST - epublish
SO  - Heliyon. 2023 Sep 12;9(9):e20045. doi: 10.1016/j.heliyon.2023.e20045. eCollection 
      2023 Sep.