Economics and policy implications of residential photovoltaic systems in Italy's developed market

D’Adamo, Idiano; Gastaldi, Massimo; Morone, Piergiuseppe; Öztürk, İlhan

doi:10.1016/j.jup.2022.101437

Cited by 8 publications

(6 citation statements)

References 56 publications

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“…Abd Alla et al [87] conducted a study on the climate conditions in southern Italy to identify the most suitable areas for using solar power generation technology and maximize the utilization of solar energy to avoid energy waste. D'Adamo et al [88] found that based on the current government subsidies for installing photovoltaic systems in residential areas, the economic benefits gained by the country far outweigh expenditures, demonstrating the benefits of vigorously promoting solar energy development.…”

Section: Overview Of Renewable Energy Development In Italymentioning

confidence: 99%

China and Italy’s Energy Development Trajectories: Current Landscapes and Future Cooperation Potential

Liu,

Jiang,

Zhang

et al. 2024

Energies

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In order to achieve the ambitious goal of “carbon neutrality”, countries around the world are striving to develop clean energy. Against this background, this paper takes China and Italy as representatives of developing and developed countries to summarize the energy structure composition and development overview of the two countries. The paper analyzes the serious challenges facing the future energy development of both countries and investigates the possibilities of energy cooperation between the two countries, taking into account their respective advantages in energy development. By comparing the policies issued by the two governments to encourage clean energy development, this paper analyzes the severe challenges faced by the two countries’ energy development in the future and combines their respective energy development advantages to look forward to the possibility of energy cooperation between the two countries in the future. This lays the foundation for China and Italy to build an “Energy Road” after the “Silk Road”.

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Section: Overview Of Renewable Energy Development In Italymentioning

confidence: 99%

China and Italy’s Energy Development Trajectories: Current Landscapes and Future Cooperation Potential

Liu,

Jiang,

Zhang

et al. 2024

Energies

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“…This model has seven parameters to be computed; they are provided as a vector, given in Equation (3).…”

Section: Modeling Of Solar Photovoltaic (Pv)mentioning

confidence: 99%

“…The process of ecological transition involves identifying consumption and sustainable community models to reduce harmful emissions and to create reliance on power generation from renewable sources [2]. One of the aims of the sustainable development goals (SDGs), especially the seventh goal, is to obtain modern energy which is sustainable and highly reliable at the lowest cost [3]. There is a great deal of interest in RESs due to the enormous financial and environmental problems associated with traditional energy sources like fossil fuels.…”

Section: Introductionmentioning

confidence: 99%

A New Hybrid Multi-Population GTO-BWO Approach for Parameter Estimation of Photovoltaic Cells and Modules

et al. 2023

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Modeling the photovoltaic (PV) generating unit is one of the most important and crucial tasks when assessing the accurate performance of the PV system in power systems. The modeling of the PV system refers to the assigning of the optimal parameters of the PV’s equivalent circuit. Identifying these parameters is considered to be a complex optimization problem, especially with the deviation of the solar irradiance and the ambient temperature. In this regard, this paper proposes a novel hybrid multi-population gorilla troops optimizer and beluga whale optimization (HMGTO-BWO) model to evaluate the optimal parameters of the PV cell/panel; it is based on a multi-population strategy to improve its diversity and to avoid the stagnation of the conventional GTO. The BWO explorative and exploitative powers, which are based on synchronized motion and Lévy flight, are used. The suggested HGTO-BWO is implemented to minimize the root mean square error (RMSE) between the simulated and measured data for each cell/panel represented by a double diode model (DDM) and triple diode model (TDM). The proposed HGTO-BWO is investigated according to the standard and CEC-2019 benchmark functions, and the obtained results are compared with seven other optimization techniques in terms of statistical analysis, convergence characteristics, boxplots, and the Wilcoxon rank sum test. The minimum obtained RMSE values of the PVW 752 cell were 2.0886 × 10−4 and 1.527 × 10−4 for the DDM and TDM, respectively. Furthermore, the minimum fetched fitness value for the STM6-40/36 modules was 1.8032 × 10−3. The obtained results proved the effectiveness and preference of the suggested HGTO-BWO in estimating the parameters of the PV modules.

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“…In some scenarios, households do not invest in solar because they consider political risks more critical than market risks [27]. Some works point out that no additional tools are needed for residential prosumers [28], while others point out that they are important for the implementation of photovoltaic (PV) systems [29]. The benefits of these systems increase at high electricity prices [30].…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic systems and sustainable communities: New social models for ecological transition. The impact of incentive policies in profitability analyses

et al. 2023

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Economics and policy implications of residential photovoltaic systems in Italy's developed market

Cited by 8 publications

References 56 publications

China and Italy’s Energy Development Trajectories: Current Landscapes and Future Cooperation Potential

China and Italy’s Energy Development Trajectories: Current Landscapes and Future Cooperation Potential

A New Hybrid Multi-Population GTO-BWO Approach for Parameter Estimation of Photovoltaic Cells and Modules

Photovoltaic systems and sustainable communities: New social models for ecological transition. The impact of incentive policies in profitability analyses

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