2015
DOI: 10.1016/j.gloenvcha.2015.01.005
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Quantifying a realistic, worldwide wind and solar electricity supply

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Cited by 80 publications
(90 citation statements)
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“…This amount is based on a global bio energy assessment survey [10]. The expansion of renewable energies defined in ADV are based on recent technology trends [11]*, regional renewable energy potentials, current and future deployment costs [12], [13], and market development projections of the renewable energy industry [14], [15], [16], [24], [17], [18]. In ADV, the annual markets for the dominant renewable power generation technologies will maintain the annual growth rates of the past decade (2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015) until 2030 to sustain the expansion rates of the renewable energy RE industry, and will decline to one-digit values between 2030 and 2050 (Table 17, appendix).…”
Section: Methodology Approach and Main Premisesmentioning
confidence: 99%
“…This amount is based on a global bio energy assessment survey [10]. The expansion of renewable energies defined in ADV are based on recent technology trends [11]*, regional renewable energy potentials, current and future deployment costs [12], [13], and market development projections of the renewable energy industry [14], [15], [16], [24], [17], [18]. In ADV, the annual markets for the dominant renewable power generation technologies will maintain the annual growth rates of the past decade (2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015) until 2030 to sustain the expansion rates of the renewable energy RE industry, and will decline to one-digit values between 2030 and 2050 (Table 17, appendix).…”
Section: Methodology Approach and Main Premisesmentioning
confidence: 99%
“…PV technologies harvest global horizontal irradiance (GHI). Because many global or regional PV technical potential estimates do not apply GHI thresholds [23][24][25][26], and because GHI values in India exceeded most thresholds previously used (e.g., 1500 kWh/m 2 and 1400 kWh/m 2 [27,28]), we did not apply any GHI resource threshold for PV. For each remaining ith suitable cell, we then estimated the available annual GWh generation using: PD*CF i *8760/1000, where PD is power density or the MW produced per km 2 (2 MW/km 2 for wind, and 26 MW/km 2 for PV), CF i is the spatially explicit capacity factor based on Wu et al [29] as estimated in Baruch-Mordo et al [22], 8760 are the number of hours per year, and 1000 is a conversion factor from Sustainability 2020, 12, 281 5 of 14 MW to GW.…”
Section: Renewable Energy Potential On Converted Landsmentioning
confidence: 99%
“…In fact, studies about ultimate potentials of renewable energy sources reveal that solar conversion is the only source able to fulfill future demand for energy by itself, unlike e.g. wind [2]. However, PV has the inherent drawback that its supply is subject to the cycles of nature (dayenight, summerewinter).…”
Section: Introductionmentioning
confidence: 99%