Influence of solar technology in the economic performance of PV power plants in Europe. A comprehensive analysis

Honrubia-Escribano, A.; Ramírez, F. Javier; Gómez‐Lázaro, Emilio; Villaverde, Pedro Manuel García; Ruiz‐Ortega, María José; Parra‐Requena, Gloria

doi:10.1016/j.rser.2017.09.061

Cited by 103 publications

(44 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To measure the PV power generation efficiency of the 30 regions in China, this study sets three basic standards: (i) environmental responsibility (E); (ii) policy and economic support (P); and (iii) technical and natural conditions (T) [25][26][27]. This paper also chooses 12 sub-criteria under the three basic standards, which are constructed from existing literature and public sources.…”

Section: Application Of Fahpmentioning

confidence: 99%

“…The output indicators include the new installed and generating capacities [27], which indicate the scale and extent of the development of PV industry [30]. The input indicators include total employment, investment in fixed assets in electricity industry, R&D in electricity industry, effective sunshine duration, benchmark price, and regional subsidy [25,26], which represents human and material input, technology and natural conditions, and policy support related to PV power generation efficiency [30]. The output indicators include the new installed and generating capacities [27], which indicate the scale and extent of the development of PV industry [30].…”

Section: Application Of Game Cross Efficiency Deamentioning

confidence: 99%

See 1 more Smart Citation

Efficiency Measurement and Factor Analysis of China’s Solar Photovoltaic Power Generation Considering Regional Differences Based on a FAHP–DEA Model

Yang

Wang

et al. 2020

Energies

View full text Add to dashboard Cite

Driven by the transformation of the energy structure, China's photovoltaic (PV) power generation industry has made remarkable achievements in recent years. However, there are more than 30 regions (cities/provinces) in China, and the economic, policy, technological, and the environmental conditions of each region are significantly different, which leads to a huge discrepancy in PV power generation efficiency. To address the imbalance in the development of PV industry, first, this paper employed the integrated fuzzy analytic hierarchy process-data envelopment analysis (FAHP-DEA) model to evaluate the PV power generation efficiency of 30 regions in China. Second, Tobit regression model was used to examine the effects of 9 potential influencing factors. Third, a concrete analysis was conducted, and discussion based on the efficiency rankings and regression results was made. Additionally, the FAHP-DEA model proposed in this study can also be applied to the efficiency evaluation issues of other types of renewable energy.

show abstract

Section: Application Of Fahpmentioning

confidence: 99%

Section: Application Of Game Cross Efficiency Deamentioning

confidence: 99%

Efficiency Measurement and Factor Analysis of China’s Solar Photovoltaic Power Generation Considering Regional Differences Based on a FAHP–DEA Model

Yang

Wang

et al. 2020

Energies

View full text Add to dashboard Cite

show abstract

“…This is similar to solving (3) by minimizing ξ in first stage and then fixing ξ = ξ * as in (4), where the slacks variables achieve a maximum value but do not affect to previously determined value of ξ = ξ * . The objective will be converted from max to min, as in (1), to obtain [31]:…”

Section: Research Developmentmentioning

confidence: 99%

“…Nowadays, building solar power plants is becoming easier because the price of solar panels is decreasing [3,4]. The advantages of solar energies are increased CO 2 mitigation, they do The AHP model was proposed by Saaty [9] in the 1980s.There are six steps in the AHP procedure as follows: The AHP model has many advantages, however, the AHP model cannot accommodate uncertainty and inaccuracies between the perceptions and judgment of the decision makers.…”

Section: Introductionmentioning

confidence: 99%

Multi-Criteria Decision Making (MCDM) Approaches for Solar Power Plant Location Selection in Viet Nam

et al. 2018

View full text Add to dashboard Cite

Abstract:The ongoing industrialization and modernization period has increased the demand for energy in Viet Nam. This has led to over-exploitation and exhausts fossil fuel sources. Nowadays, Viet Nam's energy mix is primarily based on thermal and hydro power. The Vietnamese government is trying to increase the proportion of renewable energy. The plan will raise the total solar power capacity from nearly 0 to 12,000 MW, equivalent to about 12 nuclear reactors, by 2030. Therefore, the construction of solar power plants is needed in Viet Nam. In this study, the authors present a multi-criteria decision making (MCDM) model by combining three methodologies, including fuzzy analytical hierarchy process (FAHP), data envelopment analysis (DEA), and the technique for order of preference by similarity to ideal solution (TOPSIS) to find the best location for building a solar power plant based on both quantitative and qualitative criteria. Initially, the potential locations from 46 sites in Viet Nam were selected by several DEA models. Then, AHP with fuzzy logic is employed to determine the weight of the factors. The TOPSIS approach is then applied to rank the locations in the final step. The results show that Binh Thuan is the optimal location to build a solar power plant because it has the highest ranking score in the final phase of this study. The contribution of this study is the proposal of a MCDM model for solar plant location selection in Viet Nam under fuzzy environment conditions. This paper also is part of the evolution of a new approach that is flexible and practical for decision makers. Furthermore, this research provides useful guidelines for solar power plant location selection in many countries as well as a guideline for location selection of other industries.

show abstract

“…Improving the profitability of photovoltaic (PV) installations requires optimizing their production, thus reducing their costs and increasing the plant's useful life [5,7,8]. To achieve this while still using the currently available technology, a correct design of the installations and an adequate intervention of the services of operation and maintenance (O&M) are crucial [9].…”

Section: Introductionmentioning

confidence: 99%

Graphical Diagnosis of Performances in Photovoltaic Systems: A Case Study in Southern Spain

et al. 2017

View full text Add to dashboard Cite

Abstract:The starting point of the operation and maintenance tasks in photovoltaic plants is the continuous monitoring and supervision of its components. The great amount of registered data requires a major improvement in the ways this information is processed and analyzed to rapidly detect any potential fault, without incurring additional costs. In this paper, a procedure to perform a detailed graphical supported analysis of the operation of photovoltaic installations, based on inverter data, and using a self-developed application, is presented. The program carries out the automated processing of the registered data, providing their access and visualization by means of color maps. These graphs allow a large volume of data set to be simultaneously represented in a readable way, enabling operation and maintenance operators to quickly detect patterns that would require any type of intervention. As a case study, the operation of a grid-connected photovoltaic plant located in southern Spain was studied during a period of three years. The average daily efficiency values of the PV modules and inverters were in the range of 7.6-14.6%, and 73.5-94% respectively. Moreover, the presence of shadings, as well as the hours and days mainly affected by this issue, was easily detected.

show abstract

Influence of solar technology in the economic performance of PV power plants in Europe. A comprehensive analysis

Cited by 103 publications

References 56 publications

Efficiency Measurement and Factor Analysis of China’s Solar Photovoltaic Power Generation Considering Regional Differences Based on a FAHP–DEA Model

Efficiency Measurement and Factor Analysis of China’s Solar Photovoltaic Power Generation Considering Regional Differences Based on a FAHP–DEA Model

Multi-Criteria Decision Making (MCDM) Approaches for Solar Power Plant Location Selection in Viet Nam

Graphical Diagnosis of Performances in Photovoltaic Systems: A Case Study in Southern Spain

Contact Info

Product

Resources

About