TY - JOUR
T1 - Application of multi-criteria decision-making to risk prioritisation in tidal energy developments
AU - Kolios, Athanasios
AU - Read, George
AU - Ioannou, Anastasia
PY - 2016/1/1
Y1 - 2016/1/1
N2 - This paper presents an analytical multi-criterion analysis for the prioritisation of risks for the development of tidal energy projects. After a basic identification of risks throughout the project and relevant stakeholders in the UK, classified through a political, economic, social, technological, legal and environmental analysis, relevant questionnaires provided scores to each risk and corresponding weights for each of the different sectors. Employing an extended technique for order of preference by similarity to ideal solution as well as the weighted sum method based on the data obtained, the risks identified are ranked based on their criticality, drawing attention of the industry in mitigating the ones scoring higher. Both methods were modified to take averages at different stages of the analysis in order to observe the effects on the final risk ranking. A sensitivity analysis of the results was also carried out with regard to the weighting factors given to the perceived expertise of participants, with different results being obtained whether a linear, squared or square root regression is used. Results of the study show that academics and industry have conflicting opinions with regard to the perception of the most critical risks.
AB - This paper presents an analytical multi-criterion analysis for the prioritisation of risks for the development of tidal energy projects. After a basic identification of risks throughout the project and relevant stakeholders in the UK, classified through a political, economic, social, technological, legal and environmental analysis, relevant questionnaires provided scores to each risk and corresponding weights for each of the different sectors. Employing an extended technique for order of preference by similarity to ideal solution as well as the weighted sum method based on the data obtained, the risks identified are ranked based on their criticality, drawing attention of the industry in mitigating the ones scoring higher. Both methods were modified to take averages at different stages of the analysis in order to observe the effects on the final risk ranking. A sensitivity analysis of the results was also carried out with regard to the weighting factors given to the perceived expertise of participants, with different results being obtained whether a linear, squared or square root regression is used. Results of the study show that academics and industry have conflicting opinions with regard to the perception of the most critical risks.
KW - MCDM
KW - risk prioritisation
KW - tidal energy
UR - http://www.scopus.com/inward/record.url?scp=84942195793&partnerID=8YFLogxK
U2 - 10.1080/14786451.2014.880438
DO - 10.1080/14786451.2014.880438
M3 - Article
AN - SCOPUS:84942195793
SN - 1478-6451
VL - 35
SP - 59
EP - 74
JO - International Journal of Sustainable Energy
JF - International Journal of Sustainable Energy
IS - 1
ER -