Life cycle assessment of solar PV based electricity generation systems: A review

Sherwani, Ahmad Faizan; Usmani, J. A.; Varun, _

doi:10.1016/j.rser.2009.08.003

Cited by 345 publications

(148 citation statements)

References 28 publications

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“…For average and above average conditions, micro-wind turbine CF values are comparable with those obtained for a commercial wind farm [26]. The CF values for photovoltaic systems are also in agreement with typical values [27]. 13.5% a CF: Capacity factor is the energy output as a percentage of the theoretical maximum rated output.…”

Section: Estimation Of the Res Hourly Productionsupporting

confidence: 80%

Implications of integrating electricity supply dynamics into life cycle assessment: A case study of renewable distributed generation

et al. 2014

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Electricity supply is frequently cited as a significant hot spot in life cycle assessment (LCA) results. Despite its importance, however, LCA research continues to overuse simplified methodologies regarding electricity supply modeling. This work aims to demonstrate the usefulness of electricity trade analysis (proposed model) for integrating the short-term dynamics of electricity supply and refining LCA results. Distributed generation using renewable energy is applied as a case study to demonstrate how electricity trade analysis provides more refined estimates when environmental impact abatements are assessed compared with the conventional (simplified) approaches in LCA. Grid-connected photovoltaic panel (3 kWp monoand poly-crystalline) and micro-wind turbine (1, 10 and 30 kW) environmental impact abatements are investigated by determining the displaced marginal electricity production on an hourly basis. The results indicate that environmental impact abatements calculated using the developed short-term time horizon approach can be significantly different (up to 200% difference) from those obtained using a simplified approach. Recommendations are provided to LCA practitioners to address this issue of differing results.

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Section: Estimation Of the Res Hourly Productionsupporting

confidence: 80%

Implications of integrating electricity supply dynamics into life cycle assessment: A case study of renewable distributed generation

et al. 2014

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“…Table 1 gives a brief description of the building, and Table 2 provides inventory of material specifications for all design options used in the study. The model is detailed at LOD 200. covered by the study, with recent years producing less CO2 emission per KiloWatt hour of electricity generated [33,36]. Therefore, an average of 60gCO2/Kwh of electricity on a life cycle of 30years was used in the study.…”

Section: Case Study Designmentioning

confidence: 99%

Life cycle environmental performance of material specification: a BIM-enhanced comparative assessment

Ajayi

Oyedele

Ceranic

et al. 2015

International Journal of Sustainable Building Technology and Ur

131

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The study aimed at evaluating the extent to which different building materials specifications affect building lifecycle environmental performance, using a Building Information Modelling (BIM) enhanced lifecycle assessment (LCA) methodology. A combination of Revit Architecture which is a BIM based design and analysis tool, an energy simulation tool known as Green Building Studio (GBS) and LCA tool known as ATHENA Impact Estimator were used for the assessment. The LCA was carried out on a life case study of a 2100m 2 one-storey school building as well as its variability analysis, by varying materials specifications in terms of whole building materials. The lifecycle performance of the buildings was primarily evaluated in terms of its Global Warming Potential (GWP) and Health Impacts.The findings of the study show that irrespective of materials used, buildings that are based on renewable energy perform better than those based on fossil fuels over its lifecycle. In terms of building materials, both environmental and health preference of buildings congruently range from timber, brick/block, steel, to Insulated Concrete Foams, in a descending order. The study suggests that as buildings become more energy-efficient during operational stages, serious attention needs to be given to their embodied impacts.The study lay out a methodological framework that could be adopted by industry practitioners in evaluating lifecycle environmental impacts of different BIM modelled materials options at building conception stage. This has the tendency of ensuring that most lifecycle environmentally beneficial materials combinations are selected during specification and construction.

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“…The CO2 EF for DPG has been established by UNDP empirically is 0.786 Kg/kWh [14] and CO2 EF for Solar PV is 0.0094 Kg/kWh [15] The electrification ratio is the ratio of the electrified household to the number of households [16]. Table 1 show the condition of electrification in Kupang Regency, which is processed from the statistical data of the Central Bureau of Statistics of Kupang Regency for the sub-district.…”

Section: Methodsmentioning

confidence: 99%

Optimization model of electrification ratio using solar photovoltaic: case study in Kupang Regency

Sinaga¹

2018

Preprint

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The Electrification ratio in Indonesia is 89.10%, which means there are 7, 245,728 of 66, 489,400 households don't have access to Electrical Energy Sources (EES). Kupang Regency is one of the Regency in Indonesia which has a low electrification ratio. 29,542 of 78,109 households haven't access to EES spread over 29 villages (electrification ratio of 62%). Solar Photovoltaic in Kupang Regency 5 MWp capacity has been operating but directly connected (On-Grid) to the State Electricity Company (PLN), it is not able to help rural communities that are difficulties to reach due to its geographical conditions. The aim of this research was design the electrification ratio optimization model with the consideration of CO2 emission reduction using Solar Photovoltaic. The method of research using dynamic modeling approach. The result of the research shows that electrification ratio can be achieved optimum estimated in 2020-2021 if the addition of capable power each year 4,000 kW. The addition of capable power 2,000 kW/year, can reach the optimum electrification ratio in 2023-2024 and if the addition of capable power is only 1,000 kW/year, the optimum electrification ratio can be achieved in 2030-2031. Diversification of DPG into Solar PV can reduce CO2 emissions by 98.8%.

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Life cycle assessment of solar PV based electricity generation systems: A review

Cited by 345 publications

References 28 publications

Implications of integrating electricity supply dynamics into life cycle assessment: A case study of renewable distributed generation

Implications of integrating electricity supply dynamics into life cycle assessment: A case study of renewable distributed generation

Life cycle environmental performance of material specification: a BIM-enhanced comparative assessment

Optimization model of electrification ratio using solar photovoltaic: case study in Kupang Regency

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