Reports from University of Alberta Describe Recent Advances in Wind Farms (Developing a Risk Breakdown Matrix for Onshore Wind Farm Projects Using Fuzzy Case-based Reasoning) - Insurance News | InsuranceNewsNet

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August 16, 2021 Newswires
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Reports from University of Alberta Describe Recent Advances in Wind Farms (Developing a Risk Breakdown Matrix for Onshore Wind Farm Projects Using Fuzzy Case-based Reasoning)

Insurance Daily News

2021 AUG 16 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- New research on Energy - Wind Farms is the subject of a report. According to news reporting originating from Edmonton, Canada, by NewsRx correspondents, research stated, “As worldwide goals for sustainable development expand, numerous countries are investing in renewable energy projects, particularly onshore and offshore wind farm projects, which have low adverse environmental impacts. Since onshore wind farm projects are novel types of energy infrastructure projects in many countries worldwide, the literature lacks a comprehensive list of risks that affect such projects.”

Financial support for this research came from Canada First Research Excellence Fund.

Our news editors obtained a quote from the research from the University of Alberta, “The first goal of this paper is to fill the research gap by identifying the work-package-level risks that affect onshore wind farm construction projects and developing a risk breakdown matrix suitable to these projects. However, the application of existing risk identification techniques in these projects is usually hindered by the lack of comprehensive research in the literature, scarcity of historical data, and high cost of acquiring expert knowledge. Consequently, the second goal of this paper is developing a new risk identification technique based on case-based reasoning and fuzzy logic suitable to onshore wind farm projects. The case-based reasoning component enables the identification of risks associated with a given type of construction project based on its similarities to the other types of projects. Moreover, the application of fuzzy logic in the proposed technique allows users to assess the similarities between different types of projects using linguistic variables, and it facilitates the capture of partial similarities between the different types of construction projects. In addition to the novel risk identification technique, this paper presents a risk breakdown matrix of onshore wind farm projects representing 169 risk factors, which are mapped to 11 construction work packages of onshore wind farm projects to improve the risk management process for these projects.”

According to the news editors, the research concluded: “The results of this paper and the proposed risk identification technique are compared with conventional techniques, confirming that the proposed technique is suitable to novel types of construction projects like onshore wind farms.”

This research has been peer-reviewed.

For more information on this research see: Developing a Risk Breakdown Matrix for Onshore Wind Farm Projects Using Fuzzy Case-based Reasoning. Journal of Cleaner Production, 2021;311. Journal of Cleaner Production can be contacted at: Elsevier Sci Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, Oxon, England. (Elsevier - www.elsevier.com; Journal of Cleaner Production - http://www.journals.elsevier.com/journal-of-cleaner-production/)

The news editors report that additional information may be obtained by contacting Aminah Robinson Fayek, University of Alberta, Hole Sch Construct Engn, Dept. of Civil and Environmental Engineering, 7 232 Donadeo Innovat Ctr Engn, 9211 116 St NW, Edmonton, Ab T6G 1H9, Canada. Additional authors for this research include Sahand Somi and Nima Gerami Seresht.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.jclepro.2021.127572. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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