Analysis of Technology Improvement Opportunities for a 1.5MW Wind Turbine using a Hybrid Stochastic Approach in Life Cycle Assessment

Ozoemena, Matthew and Hasan, Reaz and Cheung, Wai Ming (2016) Analysis of Technology Improvement Opportunities for a 1.5MW Wind Turbine using a Hybrid Stochastic Approach in Life Cycle Assessment. Renewable Energy, 93 (August). pp. 369-382. ISSN 0960-1481

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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 these two quantities due to the fact that LCA based design decision making is of utmost importance at the concept design stage. 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 that there is about 85% probability that the turbine manufacturers may have lost the chance to reduce carbon emissions, and 50% probability that they may have lost the chance to reduce the primary energy consumed during its manufacture. The paper also highlights that the adopted methodology can be used to support design decision making and hence is more feasible for LCA studies.

Item Type: Article
Uncontrolled Keywords: Embodied energy, Embodied carbon, Technology improvement opportunities, Uncertainty, LCA, 1.5 MW wind turbine
Subjects: H100 General Engineering
H700 Production and Manufacturing Engineering
H800 Chemical, Process and Energy Engineering
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment
REF UoA Output Collections > REF 2021 UoA12: Engineering
Depositing User: Euan Scott
Date Deposited: 30 Nov 2018 09:29
Last Modified: 30 Nov 2018 09:29
URI: http://www.open-access.bcu.ac.uk/id/eprint/6654

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