Analysis of technology improvement opportunities for a 1.5 MW wind turbine using a hybrid stochastic approach in life cycle assessment

Ozoemena, Matthew; Hasan, Reaz; Cheung, Wai Ming

doi:10.1016/j.renene.2016.03.012

Cited by 8 publications

(2 citation statements)

References 52 publications

(9 reference statements)

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“…The material inputs of wind turbines are collected from previous studies [8,[33][34][35][36][37], based on which inventories for different wind turbines were compiled. As shown in Table 1, the inventory of six types of wind turbines with rated power of 1.5 MW, 2 MW, 3 MW, 0.85 MW, 0.66 MW, and 1.25 MW was listed.…”

Section: Preparation Of the Materials Listmentioning

confidence: 99%

LCA-Based Regional Distribution and Transference of Carbon Emissions from Wind Farms in China

Yang

2021

Energies

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As a clean form of energy utilization, wind power is important for alleviating climate change. Although no direct carbon emissions occur in wind power generation, there exist upstream carbon emissions from manufacturing and installation, which have indirect effects on both the locations of wind farms and areas involved in upstream production and manufacturing. In this paper, based on Input–Output based Life Cycle Analysis (IO-LCA), we explored the lifetime carbon emissions of 378 wind farms in China that were still in operation in 2015. The regional distributions of carbon emissions from wind farms during the whole lifetime were depicted. The embodied carbon emission transfers from the location of the wind farm operation to upstream turbine manufacturing regions were traced. The net emission reduction benefits among regions were also calculated. Results show that carbon emissions mainly distribute in Liaoning, Inner Mongolia, and Tianjin in the turbine manufacturing stage, with a total amount of 3.36 MT. Inner Mongolia contributes the largest carbon emissions (5.94 MT) in the farm construction stage. Inner Mongolia has transferred about 0.99 MT carbon emissions to itself and has the largest net emission reduction. Recognizing the carbon emission transfer of wind farms and dividing the carbon emission reduction responsibilities among regions may shed light on supply chain carbon emission reduction and provincial carbon quota allocation.

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Section: Preparation Of the Materials Listmentioning

confidence: 99%

LCA-Based Regional Distribution and Transference of Carbon Emissions from Wind Farms in China

Yang

2021

Energies

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“…This does not, however, mean it is free of environmental impacts. There are environmental implications as a result of the manufacturing, operation and disposal processes during the life cycle of the wind turbine (Ozoemena et al 2016;Simons and Cheung 2016). These environmental impacts have to be quantified in order to examine the potential for improvement to the processes and to compare the effects of energy production (Fokaides et al 2014;Igliński et al 2016;Lieberei and Gheewala 2017).…”

Section: Introductionmentioning

confidence: 99%

Comparative LCA of technology improvement opportunities for a 1.5-MW wind turbine in the context of an onshore wind farm

Ozoemena

Cheung

Hasan

2017

Clean Techn Environ Policy

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This paper presents life cycle assessment (LCA) results of design variations for a 1.5-MW wind turbine due to the potential for advances in technology to improve their performance. Five LCAs have been conducted for design variants of a 1.5-MW wind turbine. The objective is to evaluate potential environmental impacts per kilowatt hour of electricity generated for a 114-MW onshore wind farm. Results for the baseline turbine show that higher contributions to impacts were obtained in the categories of ozone depletion potential, marine aquatic eco-toxicity potential, human toxicity potential and terrestrial eco-toxicity potential compared to technology improvement opportunities (TIOs) 1-4. Compared to the baseline turbine, TIO 1 with advanced rotors and reduced tower mass showed increased impact contributions to abiotic depletion potential, acidification potential, eutrophication potential, global warming potential and photochemical ozone creation potential, and TIO 2 with a new tower concept involving improved tower height showed an increase in contributions to abiotic depletion potential, acidification potential and global warming potential. Additionally, lower contributions to all the environmental categories were observed for TIO 3 with drivetrain improvements using permanent magnet generators while increased contributions towards abiotic depletion potential and global warming potential were noted for TIO 4 which combines TIO 1, TIO 2 and TIO 3. A comparative LCA study of wind turbine design variations for a particular power rating has not been explored in the literature. This study presents new insight into the environmental implications related with projected wind turbine design advancements.

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Economic and ecological evaluation and optimization of the life cycle of a wind farm

Tahtah

Raouti

Meziane

2023

Int. J. Environ. Sci. Technol.

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Analysis of technology improvement opportunities for a 1.5 MW wind turbine using a hybrid stochastic approach in life cycle assessment

Abstract: (2016) Analysis of technology improvement opportunities for a 1.5 MW wind turbine using a hybrid stochastic approach in life cycle assessment. Renewable Energy, 93. pp. 369-382.

Cited by 8 publications

References 52 publications

LCA-Based Regional Distribution and Transference of Carbon Emissions from Wind Farms in China

LCA-Based Regional Distribution and Transference of Carbon Emissions from Wind Farms in China

Comparative LCA of technology improvement opportunities for a 1.5-MW wind turbine in the context of an onshore wind farm

Economic and ecological evaluation and optimization of the life cycle of a wind farm

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