Data for: Monte Carlo approach to fuzzy AHP risk analysis in renewable energy construction projects

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Serrano-Gómez, Luis. 2019. "Data for: Monte Carlo approach to fuzzy AHP risk analysis in renewable energy construction projects". Qualitative Data Repository. https://doi.org/10.5064/F6RKKLAD. QDR Main Collection. V1
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Description

The data included in the repository are the responses of the experts group for the risks identification and risks assessment of a photovoltaic construction project of 250 MW located in Murcia, Spain.

The experts were selected from professionals who have collaborated on the processing, design, and construction of photovoltaic solar plants, with the aim of covering as many profiles as possible involved in the development of such plants. A total of 15 experts were recruited with the following profiles:

  • E1: Developer of photovoltaic solar plants, with a 15 MW portfolio of completed projects
  • E2: Project Manager, with a portfolio of designed and developed projects exceeding 500 MW worldwide.
  • E3: CEO of a multinational company with 14 years of experience in the sector and more than 2 GW of developed projects.
  • E4: Construction Manager of solar photovoltaic plants, with more than 10 years of experience in the sector.
  • E5: O & M Manager of a multinational company with a portfolio of over 2 GW.
  • E6: Project Finance manager in a multinational company, with more than 14 years of experience in the promotion and development of photovoltaic solar plants.
  • E7: Supervisor in the construction of renewable energy projects — both wind and photovoltaic — with 12 years of experience in the sector.
  • E8: Project Manager, with over 300 MW of developed projects worldwide.
  • E9: Industrial Engineer and expert in design and construction of energy evacuation infrastructures in photovoltaic solar plants, with more than 30 years experience in the design of electrical infrastructures.
  • E10: Inspector-Verifier of electrical installations, with 4 years of experience in the sector.
  • E11: Professional Project Manager and expert in the construction of large electric power generation infrastructures.
  • E12: Project Manager, with a portfolio of projects exceeding 50 MW, designed and constructed in Spain.
  • E13: Forestry Engineer and Public Administration technician responsible for the environmental evaluation of projects.
  • E14: Project Manager, with a portfolio of projects exceeding 20 MW, designed and constructed in Spain.
  • E15: Construction Manager of solar photovoltaic plants and solar thermal plants, with more than 12 years of experience in the sector.
All the experts confirmed their acceptance and gave their verbal consent to complete the questionnaire. Experts E4, E8 and E14 declined to complete the questionnaire due to lack of time. The other 12 experts are those included in the present study.

The surveys responses by the 12 members of the assessment panel experts contain their views on the 55 risks identified in terms of risk impact and risk probability, as well as their opinions in the pair-wise comparison of risks from the point of view of its influence on the scope, cost and project time.

Subject Social Sciences
Keyword risk management, alternative energy, construction industry, photovoltaic power systems, solar power plants
Related Publication Serrano-Gomez, Luis, and Jose Ignacio Munoz-Hernandez. 2019. "Monte Carlo approach to fuzzy AHP risk analysis in renewable energy construction projects." PloS One 14, no. 6. doi: 10.1371/journal.pone.0215943
Notes Expert responses are provided in the original Excel (.xlsx) questionnaires to facilitate re-use and as PDF to facilitate easy viewing and ensure digital preservation. They are shared in the original Spanish as well as in English translation.
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README_Serrano-Gomez.txt
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Published May 24, 2019
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SHA512: decdbb72361ddce9630eef5fe9742f603b9acf8d79565571752ce49e32c96897120ef7ea3ff89ef535578e3758b1a7be5819de354b505fe43ab6509174f915f7
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Serrano-Gomez_Encuestas_Expertos_Espanol.xlsx
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SHA512: 1a537f7683dd98ad9403d5eaf21d89a9cf4eea790bfedce66668caf465e70739ae1f2192cd726269f03f89941c7747e1c47b93828631570becb205b4fad9024a
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Serrano-Gomez_Expert_Questionnaires_English.xlsx
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SHA512: 435840ad5c50b718137388c5cc47925654cc080632c09fcabf666021d6eac2d49e8c39c2d23de6ac870195ca7a02e689fc2dd3b207672ba3e53802572e198c87
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