Greenhouse gas emissions from renewable energy sources: A review of lifecycle considerations

Amponsah, Nana Yaw; Troldborg, Mads; Kington, Bethany; Aalders, Inge; Hough, Rupert

doi:10.1016/j.rser.2014.07.087

Cited by 389 publications

(164 citation statements)

References 103 publications

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“…The wind electricity generation systems may further be classified on the basis of the installed location [35] as follows:…”

Section: Methodsmentioning

confidence: 99%

“…While the life cycle stages of materials production, manufacture, and production of wind turbines accounted for approximately 90% of the total GHGs emitted, the life cycle phases of transportation, disassembly and renovation/maintenance contributed less GHG emissions of the order of approximately 5-8% [6,34,35]. For the small wind electricity generation systems, the life cycle processes of wind turbine production, transportation, and installation were identified to be the significant influential factors affecting GHG emissions [11].…”

Section: Review Of Wind Lca Studiesmentioning

confidence: 99%

“…1a; Table 2). This observation may be attributed to the variation in the scale of economies (considering offshore wind electricity generation system installations are considerably larger than the onshore wind electricity generation systems) and the possibly higher GHG emissions associated with the construction phase activities such as the destruction of forest or peat land habitats for onshore wind electricity generation systems [34,35]. The very high average annual wind speeds occurring in offshore locations account for the superiority in the environmental performance of offshore turbines in comparison to the onshore units, despite the relatively lower environmental performance of offshore turbines than their onshore counterparts with the same CFs [15].…”

Section: Statistical Evaluation Of Wind Lca Studiesmentioning

confidence: 99%

“…There are limited studies [34,35] that evaluated the life cycle GHG emissions on the basis of whether the wind electricity generation system was located onshore or offshore. None of the earlier studies examined the life cycle GHG emissions and characterized them across all the currently available distinct wind electricity generation classification systems.…”

Section: Introductionmentioning

confidence: 99%

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Characterization of the life cycle greenhouse gas emissions from wind electricity generation systems

Kadiyala

Kommalapati

Huque

2016

Int J Energy Environ Eng

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This study characterized and evaluated the life cycle greenhouse gas (GHG) emissions from different wind electricity generation systems by (a) performing a comprehensive review of the wind electricity generation system life cycle assessment (LCA) studies and (b) statistically evaluating the life cycle GHG emissions (expressed in grams of carbon dioxide equivalent per kilowatt hour, gCO 2 e/kWh). A categorization index (with unique category codes, formatted as 'axis of rotation-installed location-power generation capacity') was adopted for use in this study to characterize the reviewed wind electricity generation systems. The unique category codes were labeled by integrating the names from the three wind power sub-classifications, i.e., the axis of rotation of the wind turbine 38.67, 11.75, 15.98, 12.9, and 46.4 gCO 2 e/kWh, respectively. The HAWT-ON-I wind electricity generation systems produced the minimum life cycle GHGs than other wind electricity generation systems.

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“…The wind electricity generation systems may further be classified on the basis of the installed location [35] as follows:…”

Section: Methodsmentioning

confidence: 99%

Section: Review Of Wind Lca Studiesmentioning

confidence: 99%

Section: Statistical Evaluation Of Wind Lca Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Characterization of the life cycle greenhouse gas emissions from wind electricity generation systems

Kadiyala

Kommalapati

Huque

2016

Int J Energy Environ Eng

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“…Em contraste com as outras tecnologias, a fonte geotérmica possui algumas vantagens e caracteriza-se pela sua confiabilidade, alto fator de capacidade (frequentemente superior a 90%), potência constante na base e os custos da eletricidade é um dos mais baratos do mundo (0,04 -0,07 US$/kWh) [23].…”

Section: Geotérmicaunclassified

Modelo Fuzzy Ahp-Topsis Para Avaliação E Seleção De Tecnologias De Geração De Energia Elétrica a Partir De Fontes Renováveis

MARTINS¹

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A Deus, que sempre me dá força e ilumina as minhas decisões, a minha vida e os meus estudos.Aos meus pais, em especial à minha, Maria Andrade, que sempre apoiam meus projetos, e aos meus irmãos e sobrinhos pelo companheirismo e momentos agradáveis.À CAPES e à PUC-Rio pelo apoio financeiro e institucional concedido durante esses dois anos de estudos e pesquisa. A avaliação e seleção de tecnologias de geração de energia elétrica a partir de fontes renováveis visa melhorar a eficiência nas decisões de expansão dos sistemas elétricos em geral, elencando tecnologias mais adequadas em função de seus impactos ambientais, sociais, econômicos, técnicos e políticos. Os processos decisórios referentes à escolha de tecnologias de geração de energia caracterizamse por subjetividade, incerteza e ambiguidade. Os métodos multicritério de apoio à decisão, combinados com a lógica dos conjuntos fuzzy constituem uma alternativa adequada para a modelagem de avaliação e seleção de tecnologias em ambientes sob incerteza. O objetivo principal desta dissertação é propor um modelo de avaliação e seleção de tecnologias para geração de energia elétrica a partir de fontes renováveis, com o auxílio de métodos multicritério fuzzy de apoio à decisão. A pesquisa pode ser considerada aplicada, descritiva e metodológica. Quanto aos meios de investigação, a metodologia compreende pesquisa bibliográfica e documental; pesquisa experimental, com a aplicação de métodos multicritério fuzzy de apoio à decisão para hierarquização de alternativas tecnológicas de energia elétrica a partir de fontes renováveis; e desenvolvimento de um estudo empírico no Estado do Rio de Janeiro. Destacam-se como resultados a seleção de tecnologias mais adequadas em função de seus impactos ambientais, sociais, econômicos, técnicos e políticos e a demonstração da aplicabilidade do modelo proposto. No caso do Estado do Rio de Janeiro, a tecnologia que se mostrou mais adequada, dado potencial de fontes renováveis, foi a solar fotovoltaica.

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Microbial Electrolysis Cells (MECs) as Innovative Technology for Sustainable Hydrogen Production: Fundamentals and Perspective Applications

Kadier

Kalil

Mohamed

et al. 2017

Hydrogen Production Technologies

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Greenhouse gas emissions from renewable energy sources: A review of lifecycle considerations

Cited by 389 publications

References 103 publications

Characterization of the life cycle greenhouse gas emissions from wind electricity generation systems

Characterization of the life cycle greenhouse gas emissions from wind electricity generation systems

Modelo Fuzzy Ahp-Topsis Para Avaliação E Seleção De Tecnologias De Geração De Energia Elétrica a Partir De Fontes Renováveis

Microbial Electrolysis Cells (MECs) as Innovative Technology for Sustainable Hydrogen Production: Fundamentals and Perspective Applications

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