A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Multicriteria Decision Aiding for Planning Renewable Power Production at Moroccan Airports
This study is about multicriteria decision aiding (MCDA) for the green airports program of the Moroccan Airport Authority ONDA. The goal of the program is to develop significant amounts of renewable power at airports. In particular, ONDA wants to select airports at which large solar and wind power parks should be built. Multiple criteria, including economy, technical feasibility, and environmental concerns, must be considered simultaneously. In this study, we apply Stochastic Multicriteria Acceptability Analysis (SMAA) for ranking the candidates to be developed into green airports. The analysis is conducted in phases with different sets of criteria. This study is the first application of MCDA for developing large-scale renewable energy production at airports. As a theoretical novelty, the pairwise winning indices of SMAA are used to form stochastic partial and complete rankings of the alternatives. Based on the results, two alternatives obtain the best and second-best rank in every model, and one alternative is always last, while the ranks of the remaining alternatives vary depending on the set of criteria. ; peerReviewed
Multicriteria Decision Aiding for Planning Renewable Power Production at Moroccan Airports
This study is about multicriteria decision aiding (MCDA) for the green airports program of the Moroccan Airport Authority ONDA. The goal of the program is to develop significant amounts of renewable power at airports. In particular, ONDA wants to select airports at which large solar and wind power parks should be built. Multiple criteria, including economy, technical feasibility, and environmental concerns, must be considered simultaneously. In this study, we apply Stochastic Multicriteria Acceptability Analysis (SMAA) for ranking the candidates to be developed into green airports. The analysis is conducted in phases with different sets of criteria. This study is the first application of MCDA for developing large-scale renewable energy production at airports. As a theoretical novelty, the pairwise winning indices of SMAA are used to form stochastic partial and complete rankings of the alternatives. Based on the results, two alternatives obtain the best and second-best rank in every model, and one alternative is always last, while the ranks of the remaining alternatives vary depending on the set of criteria. ; peerReviewed
Multicriteria Decision Aiding for Planning Renewable Power Production at Moroccan Airports
Menou, Abdellah (author) / Lahdelma, Risto (author) / Salminen, Pekka (author)
2022-01-01
Article (Journal)
Electronic Resource
English
päätöksentukijärjestelmät , green airports , lentoliikenne , uusiutuvat energialähteet , aurinkoenergia , kestävä kehitys , renewable power , energiankulutus (energiateknologia) , stokastinen monikriteerinen arvostusanalyysi , tuulienergia , lentokentät , multicriteria decision aiding , SMAA , partial ranking
DDC:
710
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