A hybrid Stochastic Approach for Improving Uncertainty Analysis in the Design and Development of a Wind Turbine

Ozoemena, Matthew, Cheung, Wai Ming, Hasan, Reaz and Fargani, Haitem (2016) A hybrid Stochastic Approach for Improving Uncertainty Analysis in the Design and Development of a Wind Turbine. Procedia CIRP, 56. pp. 19-24. ISSN 2212-8271

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Official URL: http://dx.doi.org/10.1016/j.procir.2016.10.009

Abstract

This paper presents an analysis of potential technological advancements for a 1.5 MW wind turbine using a hybrid stochastic method to improve uncertainty estimates of embodied energy and embodied carbon. The analysis is specifically aimed at embodied energy and embodied carbon results due to the fact that life cycle assessment (LCA) based design decision making is most important at the concept design stage. The development of efficient and cleaner energy technologies and the use of renewable and new energy sources will play a significant role in the sustainable development of a future energy strategy. Thus, it is highlighted in International Energy Agency that the development of cleaner and more efficient energy systems and promotion of renewable energy sources are a high priority for (i) economic and social cohesion, (ii) diversification and security of energy supply, and (iii) environmental protection. Electricity generation using wind turbines is generally regarded as key in addressing some of the resource and environmental concerns of today. In the presented case studies, better results for the baseline turbine were observed compared to turbines with the proposed technological advancements. Embodied carbon and embodied energy results for the baseline turbine show an about 85% probability that the turbine manufacturer may have lost the chance to reduce carbon emissions, and 50% probability that the turbine manufacturer may have lost the chance to reduce the primary energy consumed during its manufacture. Conclusively, the presented approach is a feasible alternative when more reliable results are desired for decision making in LCA.

Item Type: Article
Uncontrolled Keywords: Embodied energy; Embodied carbon; Technology Improvement Opportunities; Uncertainty; 1.5 MW wind turbine
Subjects: H100 General Engineering
H300 Mechanical Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Wai Ming Cheung
Date Deposited: 17 Nov 2016 13:23
Last Modified: 06 Sep 2017 19:09
URI: http://nrl.northumbria.ac.uk/id/eprint/28568

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