The non-combustion based renewable electricity generation technologies were assessed against a range of sustainability indicators and using data obtained from the literature. The indicators used to assess each technology were price of generated electricity, greenhouse gas emissions during full life cycle of the technology, availability of renewable sources, efficiency of energy conversion, land requirements, water consumption and social impacts, The cost of electricity, greenhouse gas emissions and the efficiency of electricity generation were found to have a very wide range for each technology, mainly due to variations in technological options as well as geographical dependence of each renewable energy source. The social impacts were assessed qualitatively based on the major individual impacts discussed in literature. Renewable energy technologies were then ranked against each indicator assuming that indicators have equal importance for sustainable development. It was found that wind power is the most sustainable, followed by hydropower, photovoltaic and then geothermal. Wind power was identified with the lowest relative greenhouse gas emissions, the least water consumption demands and with the most favourable social impacts comparing to other technologies, but requires larger land and has high relative capital costs. (C) 2008 Elsevier Ltd. All rights reserved
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Northeast Elect Power Univ, Sch Arts, Jilin 132012, Jilin, Peoples R ChinaNortheast Elect Power Univ, Sch Arts, Jilin 132012, Jilin, Peoples R China
Zhu, Shaohua
Zafar, Muhammad Wasif
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Riphah Int Univ, Riphah Sch Business & Management, Lahore, PakistanNortheast Elect Power Univ, Sch Arts, Jilin 132012, Jilin, Peoples R China
Zafar, Muhammad Wasif
Usman, Muhammad
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Wuhan Univ, Sch Econ & Management, Wuhan 430072, Peoples R China
Wuhan Univ, Ctr Ind Econ, Wuhan 430072, Peoples R ChinaNortheast Elect Power Univ, Sch Arts, Jilin 132012, Jilin, Peoples R China
Usman, Muhammad
Kalugina, Olga A.
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Financial Univ Govt Russian Federat, Dept English Profess Commun, Leningradsky Prospect 49, Moscow 125993, RussiaNortheast Elect Power Univ, Sch Arts, Jilin 132012, Jilin, Peoples R China
Kalugina, Olga A.
Khan, Irfan
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Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R ChinaNortheast Elect Power Univ, Sch Arts, Jilin 132012, Jilin, Peoples R China