A Multicriteria Analysis of Photovoltaic Systems: Energetic, Environmental, and Economic Assessments

Cucchiella, Federica; D’Adamo, Idiano

doi:10.1155/2015/627454

Cited by 30 publications

(19 citation statements)

References 34 publications

(46 reference statements)

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“…The sustainability of a PV system is defined also by estimation of the energy and environmental performances. A previous analysis has quantified these values for Italian context: Energy Payback Time (EPBT) is equal to 2.4-3.0 years, Greenhouse Gas Payback Time (GPBT) is equal to 2.5-3.2 years, Energy Return on Investment (EROI) is equal to 6.2-7.9 and Greenhouse Gas Return on Investment is equal to 5.8-7.5 [25]. ER cd permits a comparison between PV source and a mix of fossil fuels [18].…”

Section: Introductionmentioning

confidence: 99%

Economic Analysis of a Photovoltaic System: A Resource for Residential Households

2017

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New installed annual solar photovoltaic (PV) capacity was equal to 76.1 GW in 2016 (+49%), reaching the total of 305 GW around the world. PV sources are able to achieve a greater energy independence, to tackle the climate change and to promote economic opportunities. This work proposes an economic analysis based on well-known indicators: Net Present Value (NPV), Discounted Payback Time (DPBT) and Levelized Cost of Electricity (LCOE). Several case studies are evaluated for residential households. They are based on three critical variables: plant size (1, 2, 3, 4, 5 and 6 kW), levels of insolation (1350, 1450 and 1550 kWh/(m 2 ×y)) and share of self-consumption (30%, 40% and 50%). The profitability is verified in all case studies examined in this work. The role of self-consumption, that is the harmonization between demanded and produced energy, is strategic in a mature market to improve financial performance. A sensitivity analysis, based on both electricity purchase and sales prices (critical variables), confirms these positive results. The Reduction in the Emissions of Carbon Dioxide (ER cd ) signifies an environmental improvement when a PV system is used as an alternative to a mix of fossil fuels. Finally, a policy proposal is examined based on a fiscal deduction of 50% fixing the period of deduction equal to 5 years.

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Section: Introductionmentioning

confidence: 99%

Economic Analysis of a Photovoltaic System: A Resource for Residential Households

2017

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“…The PV plants' profitability evaluation under non-incentivized electric markets scenarios has a relevant role. In fact, the incentive policy mission is the support of the sector development till it becomes competitive, and not a perpetual assistance [24,46,47].…”

Section: Economic Assessmentmentioning

confidence: 99%

“…The used model is based on recent scientific papers [22,46] and it considers all the relevant items and gives values that are similar to the ones found in business plans proposed to consumers. This way, it can be used directly for real applications.…”

Section: Model Assumptionsmentioning

confidence: 99%

Industrial Photovoltaic Systems: An Economic Analysis in Non-Subsidized Electricity Markets

2015

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Photovoltaic (PV) systems are becoming a relevant electricity source, characterised by a growing trend in the last years. This paper analyses the economic feasibility of investments in industrial PV systems of different sizes (200 kW, 400 kW, 1 MW, and 5 MW), in the absence of subsidies, and in a mature market (Italy). The selected indicators for this kind of assessment are net present value (NPV) and discounted payback time (DPBT). Furthermore, the environmental advantage in comparison to fossil sources of energy is evaluated through the reduction of carbon dioxide emissions (ER cd ). Finally, a sensitivity analysis on critical variables (percentage of self-consumed energy, average annual insolation rate, annual electricity purchase price, annual electricity sale price, unitary investment cost and opportunity cost) is conducted. Results highlight the strategic role of self-consumption in a market characterised by an absence of public policy incentives and the presence of interesting economic opportunities for industrial applications.

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“…A previous analysis has quantified these values for Italian context: Energy Payback Time (EPBT) is equal to 2.4-3.0 years, Greenhouse Gas Payback Time (GPBT) is equal to 2.5-3.2 years, Energy Return on Investment (EROI) is equal to 6.2-7.9 and Greenhouse Gas Return on Investment is equal to 5.8-7.5 [2]. ERcd permits a comparison between PV source and a mix of fossil fuels.…”

Section: Introductionmentioning

confidence: 99%

Solar Panel Supplier Selection for the Photovoltaic System Design by Using Fuzzy Multi-Criteria Decision Making (MCDM) Approaches

Wang

Tsai

2018

Energies

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Abstract:The period of industrialization and modernization has increased energy demands around the world. As with other countries, the Taiwanese government is trying to increase the proportion of renewable energy, especially solar energy resources. Thus, there are many solar power plants built in Taiwan. One of the most important components of a solar power plant is the solar panel. The solar panel supplier selection process is a complex and multi-faceted decision that can reduce the cost of purchasing equipment and supply this equipment on time. In this research, we propose fuzzy MCDM approach that includes fuzzy analytical hierarchy process model (FAHP) and data envelopment analysis (DEA) for evaluation and selection of solar panel supplier for a photovoltaic system design in Taiwan. The main objective of this work is to design a fuzzy MCDM approach for solar panel supplier selection based on qualitative and quantitative factors. In the first step of this research, FAHP is applied to define the priority of suppliers. The AHP combined with fuzzy logic (FAHP) can be used to rank suppliers; however, the disadvantages of the FAHP model is that input data, expressed in linguistic terms, depends on experience of experts and the number of suppliers is practically limited, because of the number of pairwise comparison matrices. Thus, we applied several DEA models for ranking potential suppliers in the final stages. As the result, decision making unit 1 (DMU 1) is the optimal solar panel supplier for photovoltaic system design in Taiwan. The contribution of this research is a new fuzzy MCDM for supplier selection under fuzzy environment conditions. This paper also lies in the evolution of a new approach that is flexible and practical to the decision maker. It provides a useful guideline for solar panel supplier selection in many countries as well as a guideline for supplier selection in other industries.

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A Multicriteria Analysis of Photovoltaic Systems: Energetic, Environmental, and Economic Assessments

Cited by 30 publications

References 34 publications

Economic Analysis of a Photovoltaic System: A Resource for Residential Households

Economic Analysis of a Photovoltaic System: A Resource for Residential Households

Industrial Photovoltaic Systems: An Economic Analysis in Non-Subsidized Electricity Markets

Solar Panel Supplier Selection for the Photovoltaic System Design by Using Fuzzy Multi-Criteria Decision Making (MCDM) Approaches

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