Photovoltaics energy payback times, greenhouse gas emissions and external costs: 2004–early 2005 status

By Vasilis Fthenakis, E. Alsema. 2006

307 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Environmental Engineering, Pollution

View Paper: https://www.semanticscholar.org/paper/c02d4e74e208a08696117ab00a66b19762b83d34

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Citations in the corpus

Life cycle analysis of organic photovoltaic technologies (2010, background): “Also a detailed comparison of energy payback times and emissions for different photovoltaic technologies has been carried out where most attention has been devoted to monocrystalline (mono-Si) and multicrystalline (multi-Si) silicon modules since they are the most often used PV technologies with a 9”
Prospects for solar cooling – An economic and environmental assessment (2012, background): “The environmental cost associated with utilizing PV cells to produce electricity has been projected to have anywhere from 25-35 g CO2/kWh of electricity produced over the lifetime of the cell [56,57], while solar thermal collectors are projected to have embodied energy requirements resulting in ~12 ”
Photovoltaics: Life-cycle Analyses (2011, methodology): “The data sets were published in separate papers by Alsema and de Wild-Scholten (2005) and by Fthenakis and Alsema (2006).”
Towards Real Energy Economics: Energy Policy Driven by Life-Cycle Carbon Emission (2010, background): “Scientists such as Hondo (2005) and Fthenakis & Alsema (2006) have conducted static analyses on specific technologies in order to provide emission comparisons between several ETs.”
Assessment of sustainability indicators for renewable energy technologies (2009, background): “The range of efficiencies of energy generation technologies are summarised in Table 2 [24,30,42,50,57,67,74,77,78,81,85,88, 92,108–128].”
Life Cycle Inventories and Life Cycle Assessments of Photovoltaic Systems (2015, methodology): “These figures indicate that for silicon PV, 30-40% reductions in EPBT and GHG emissions from the previous estimates by Fthenakis and Alsema (2006) and Fthenakis et al (2008) [9, 12].”
Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database (2011, background): “Keywords: Solar irradiance forecasting; Gamma test; Model input selection; Solar meteorology”
Multiobjective genetic algorithm solution to the optimum economic and environmental performance problem of small autonomous hybrid power systems with renewables (2010, unknown): “PV (mono-Si) [29] 0.”