Analysis of hydrogen production from wind energy in the southeast of Iran

Alavi, Omid; Mostafaeipour, Ali; Qolipour, Mojtaba

doi:10.1016/j.ijhydene.2016.06.092

Cited by 81 publications

(30 citation statements)

References 50 publications

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“…η el E out ec el (12) where h indicates the amount of hydrogen produced, E out denotes the wind electricity input to the electrolyzer for hydrogen production, η el represents the electrolysis process efficiency and its efficiency varies from 80-90% [47]; ec el is the electrolyzer energy consumption and its value is usually 5-6 (KWh/Nm 3 ). The decomposition of water (H 2 O) to provide H 2 needs ∆H = 286 kJ mol −1 [48].…”

Section: H =mentioning

confidence: 99%

“…In this study, we used electrolyzer with an energy consumption of 5 (kWh/Nm 3 ) and a rectifier with 90% efficiency. One kilogram of produced hydrogen equals to 11.13 (Nm 3 ) [47], which can be used to convert hydrogen produced by normal cubic meters into kilograms. The annual renewable energy generation of the GW-109/2500 wind turbines is calculated based on Weibull data.…”

Section: Hydrogen Productionmentioning

confidence: 99%

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Assessment of Wind Energy Potential for the Production of Renewable Hydrogen in Sindh Province of Pakistan

et al. 2019

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In this study, we developed a new hybrid mathematical model that combines wind-speed range with the log law to derive the wind energy potential for wind-generated hydrogen production in Pakistan. In addition, we electrolyzed wind-generated power in order to assess the generation capacity of wind-generated renewable hydrogen. The advantage of the Weibull model is that it more accurately reflects power generation potential (i.e., the capacity factor). When applied to selected sites, we have found commercially viable hydrogen production capacity in all locations. All sites considered had the potential to produce an excess amount of wind-generated renewable hydrogen. If the total national capacity of wind-generated was used, Pakistan could conceivably produce 51,917,000.39 kg per day of renewable hydrogen. Based on our results, we suggest that cars and other forms of transport could be fueled with hydrogen to conserve oil and gas resources, which can reduce the energy shortfall and contribute to the fight against climate change and global warming. Also, hydrogen could be used to supplement urban energy needs (e.g., for Sindh province Pakistan), again reducing energy shortage effects and supporting green city programs.

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Section: H =mentioning

confidence: 99%

Section: Hydrogen Productionmentioning

confidence: 99%

Assessment of Wind Energy Potential for the Production of Renewable Hydrogen in Sindh Province of Pakistan

et al. 2019

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“…Para a estimação dos parâmetros de forma e de escala dos modelos adotados neste trabalho existe uma variedade de métodos. Contudo, devido a sua imensa aplicabilidade estatística, adotou-se o Método de Máxima Verossimilhança (Alavi et al, 2016).…”

Section: Método De Máxima Verossimilhança (Mmv)unclassified

Análise estatística da velocidade do vento em Petrolina-PE utilizando as distribuições Weibull e a Burr

Santos

Nascimento

Jesus

et al. 2019

J. Env. Anal. Progr.

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Dentre algumas fontes renováveis de energia, destacam-se os ventos. No Brasil, em especial na região Nordeste, tem-se observado avanços quanto aos estudos e investimentos em localidades consideradas potenciais produtoras de energia eólica. Neste contexto, podem ser empregadas as funções densidade de probabilidade de modelos de distribuição como forma auxiliar à tomada de decisão sobre a escolha de uma determinada região para a instalação de parques eólicos. Neste trabalho, buscou-se analisar o potencial eólico para geração de energia proveniente dos ventos em Petrolina-PE, com a série histórica de velocidade do vento de 01/01/2015 a 31/12/2016 e através da comparação entre os ajustes realizados pelas distribuições Weibull com dois parâmetros (Weibull-2p) e Burr, bem como a partir da análise da velocidade média do vento verificada na região. Além disso, observar a direção predominante dos ventos por meio da Rosa dos Ventos. Para a estimação dos parâmetros das distribuições, foi adotado o Método da Máxima Verossimilhança (MMV) que tem alcançado valores ótimos em relação a outros métodos de estimativa de parâmetros. Os critérios de seleção AIC e BIC, a estatística de Anderson-Darling e as acurácias MAPE e MAD foram adotadas para a avaliação da bondade dos ajustes das distribuições, onde se verificou que a Weibull-2p forneceu melhor modelagem aos dados analisados. A direção predominante dos ventos encontrada foi a sudeste, com variação entre ~105º e ~135º e velocidade média de 8,4m/s. Com os resultados obtidos, a região estudada alcançou, segundo classificação do NREL, avaliação esplêndida para a viabilidade de geração de energia eólica.

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“…The first category accommodates the methods which produce hydrogen from fossil fuels, covering the methods of hydrocarbon reforming and pyrolysis [34]. For the second category, hydrogen could be produced from renewable resource such as water, wind [35], tidal [36], solar energy [37] and biomass [38][39][40][41]. In addition, multi-resources energies coupling is also a development trend for H 2 production.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Recent advances on the reduction of CO2 to important C2+ oxygenated chemicals and fuels

Wang

Cao

et al. 2018

Chinese Journal of Chemical Engineering

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Analysis of hydrogen production from wind energy in the southeast of Iran

Cited by 81 publications

References 50 publications

Assessment of Wind Energy Potential for the Production of Renewable Hydrogen in Sindh Province of Pakistan

Assessment of Wind Energy Potential for the Production of Renewable Hydrogen in Sindh Province of Pakistan

Análise estatística da velocidade do vento em Petrolina-PE utilizando as distribuições Weibull e a Burr

Recent advances on the reduction of CO2 to important C2+ oxygenated chemicals and fuels

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