The Selection of the Best Solar Panel for the Photovoltaic System Design by Using AHP

Balo, Figen; Şağbanşua, Lütfü

doi:10.1016/j.egypro.2016.10.151

Cited by 62 publications

(51 citation statements)

References 1 publication

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“…Panels should not be chosen only based on its price, but many factors have to be put into account such as brand, physical size, durability, certifications. Moreover, the efficiency of PV panels depends on incoming solar radiation intensity, inclination of PV panels, wind speed, among others [19][20][21][22].…”

Section: Photovoltaic Energymentioning

confidence: 99%

Hybrid Power Plants: A Case Study

Nascimento¹,

Damasceno²

2019

Power Plants in the Industry

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Energy can be treated as an essential element for the development of society. Therefore, aspects like process' efficiency and environmental impacts must be considered when choosing the supply source. In Brazil, an event showed the fragility of a system that relies on in only one source to attend their necessities; a truckers strike made the whole country stop. The energy sector has a similar situation; more than 60% of Brazilian energetic matrix is represented by one source, hydroelectric power plants. The availability of solar radiation and wind in Brazil makes it possible to diversify its energetic matrix. Thus, the aim of this study is investigating the potential of hybrid solar-wind power plants in two basins of Minas Gerais-Brazil, São Francisco Basin and Jequitinhonha Basin, as well as compare their viabilities in order to address social issues. By analyzing INMET database and economic factors, the study has shown that it is feasible to implement renewable power plants in the basins of the study area, whether individually (solar or wind energy) or hybrid system. It shows in addition that hybrid system should be prioritized, since it presents lower cost, when compared to solar power plant, and more reliability due to seasonality of both sources.

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Section: Photovoltaic Energymentioning

confidence: 99%

Hybrid Power Plants: A Case Study

Nascimento¹,

Damasceno²

2019

Power Plants in the Industry

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“…In particular, collocating series and parallel photovoltaic (PV) arrays by using appropriate PV power conditioners to comply simultaneously with safety regulations and maximize the power generation efficiency is a major problem for designers. When designing PV-PGSs, the key technologies that designers must consider include: (1) the fitness between power conditioner capacitance and system setup capacitance, (2) collocating PV arrays with either multistring or single-input power conditioners, (3) brand and type of PV modules employed in PV-PGSs, and (4) designing the number of series and parallel units on PV modules [1]. The selection of the best PV module for the PV system design by using an analytical hierarchy process (AHP) was presented in Reference [2].…”

Section: Introductionmentioning

confidence: 99%

“…When designing PV-PGSs, the key technologies that designers must consider include: (1) the fitness between power conditioner capacitance and system setup capacitance, (2) collocating PV arrays with either multistring or single-input power conditioners, (3) brand and type of PV modules employed in PV-PGSs, and (4) designing the number of series and parallel units on PV modules [1]. The selection of the best PV module for the PV system design by using an analytical hierarchy process (AHP) was presented in Reference [2]. After considering electrical, mechanical, financial, environmental, and customer satisfaction performance of each PV module, one can select the most appropriate PV modules in different location or countries.…”

Section: Introductionmentioning

confidence: 99%

An Optimal Collocation Strategy for the Key Components of Compact Photovoltaic Power Generation Systems

Chen

Chao

2018

Energies

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The objective of this study was to develop an optimal evaluation system for collocating photovoltaic (PV) modules and power conditioners by using the extension engineering method. The matter-element model and correlation functions of the extension theory were adopted as the basis of the proposed extension evaluation system, which was then used to develop a multilevel evaluation model for PV modules and PV power conditioners. The extension evaluation system was used to evaluate and test numerous PV modules and power conditioner products that are commonly employed and commercially available in Taiwan. First, a PV module matter-element model was established based on price, power temperature, size, and weight, and a PV power conditioner matter-element model was established based on input voltage range, maximum power point tracking (MPPT) voltage range, number of MPPT units, minimum operating voltage, and maximum input current. Second, the weighting values of the various characteristics in the extension method were determined according to numerous consideration factors of the PV modules and power conditioners. Finally, the values of the degree of correlation between numerous user preferences and the various PV modules and power conditioner brands were calculated using correlation functions to determine the key components of PV power generation systems (PV-PGSs) that corresponded to user preferences. The test results confirmed that the proposed extension evaluation system can determine the optimal collocation for the key components of the PV-PGSs under different user preference settings.

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“…A hybrid model including DEA-FAHP-TOPSIS for solar power plant location selection in Viet Nam by Chia-Nan Wang [26]. Figen Balo [27] proposed the selection of the best solar panel for the photovoltaic system design by using AHP. A hybrid model DEA-FANP for supporting the department selection process within Iran Amirkabir University by Babak Daneshvar Rouyendegh et al [28].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In study reviewed of applications of MADM approaches for evaluation and selection of suppliers in a fuzzy environment by Mehdi Keshavarz Ghorabaee [36]. The solar panel for the photovoltaic system design by using AHP model by Figen Balo [27]. A hybrid model including GIS-DEM-AHP to identify the most suitable location for the installation of solar panel power plant in the Municipality of Knjaževac (East Serbia) by I. Potić et al [37].…”

Section: Literature Reviewmentioning

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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The Selection of the Best Solar Panel for the Photovoltaic System Design by Using AHP

Cited by 62 publications

References 1 publication

Hybrid Power Plants: A Case Study

Hybrid Power Plants: A Case Study

An Optimal Collocation Strategy for the Key Components of Compact Photovoltaic Power Generation Systems

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

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