Optimal Decision-Making in Photovoltaic System Selection in Saudi Arabia

Al-Shammari, Sultan; Ko, Wonsuk; Ammar, Essam A. Al; Alotaibi, Majed A.; Choi, Hyeong-Jin

doi:10.3390/en14020357

Cited by 26 publications

(18 citation statements)

References 43 publications

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“…The proposed model takes advantage of several research methods (modules) which have been functioning together and therefore enable to conduct a multi-criteria analysis of the issue [33][34][35][36][37][38]. The operation of the modules has been implemented and integrated in the form of a computer application.…”

Section: The Structure Of the Model And The Methods Used In Itmentioning

confidence: 99%

The Model of Support for the Decision-Making Process, While Organizing Dredging Works in the Ports

Kaizer

Neumann

2021

Energies

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The aim of the research was to create a decision-making model, which would be able to support planning, organizing and conducting the dredging works in the port area. The proposed solution is a multiple element system which enables to verify, in a comprehensive way, the majority of the aspects determining the quality and the time of dredging enterprise realization. The paper presents an original approach to the decision-making process during the organization of dredging works, using the computer program. In order to achieve the main goal of the study, the conditions of dredging works were considered. Furthermore, the factors that have an influence on the schedule of the project were evaluated and algorithms, as well as process organization schemes, were developed. If it is not enough, the decision models corresponding to the discussed issue were analysed and the computer program was created. And last but not the least, the proposed project and equipment were verified using a simulation model. While creating this model, the method of multiple criteria AHP (Analytic Hierarchy Process) decision support was used. Moreover, the mass service model with the priority queue regulations, the expert study, and statistical analysis of the traffic flow, were provided. The model was developed in reliance to multiple criteria studies, based on the opinions of multinational experts. These enabled to adjust each element of the system in accordance with various locations. As a result of the research, the following thesis has been proven, that detailed analysis of the conditions of dredging works and taking into account the received conclusions enables to reduce the costs and shorten the time of dredging projects realizations.

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Section: The Structure Of the Model And The Methods Used In Itmentioning

confidence: 99%

The Model of Support for the Decision-Making Process, While Organizing Dredging Works in the Ports

Kaizer

Neumann

2021

Energies

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“…In 2019, a similar study [15], also using GIS and AHP, was conducted to assess potential sites for PV solar plants in County Kilkenny in southeastern Ireland. However, that study used fewer criteria such as (solar radiation, slope, aspects, roads, and urban areas) for analysis than many similar studies [6,9,10,14].…”

Section: Related Workmentioning

confidence: 99%

“…Few studies have been conducted in the field of solar energy analysis in Saudi Arabia; therefore, more research efforts should be focused on this field. In terms of site suitability, three studies have been conducted on a large scale with Saudi Arabia as the study area [9][10][11]. However, no spatial analysis has been performed for solar energy in the Riyadh region; therefore, this creates a gap that needs to be filled by research.…”

Section: Related Workmentioning

confidence: 99%

“…2021, 10, 291 2 of 29 using various methods including a Geographical Information System (GIS) paired with the Analytic Hierarchy Process technique (GIS-AHP), the Technique for Order of Preference by Similarity to Ideal Solution (GIS-TOPSIS), and the Fuzzy Analytical Hierarchy process (GIS-FAHP). In Saudi Arabia, to our knowledge, the only studies conducted in the same field are [9][10][11]. Furthermore, despite the natural interest in photovoltaic energy in the region, no-one, to the best of our knowledge, has yet considered the Riyadh region as a study area for such work.…”

Section: Introductionmentioning

confidence: 99%

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Geospatial Analysis of Solar Energy in Riyadh Using a GIS-AHP-Based Technique

Albraheem

Alabdulkarim

2021

IJGI

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In recent years, spatial multi-criteria decision analysis (MCDA) has been applied to different types of spatial problems, such as solar power site suitability. MCDA can be used to support the process of identifying suitable regions for solar energy projects. To the best of our knowledge, no study has addressed the problem of site evaluation for solar photovoltaic PV systems in the Riyadh region. Therefore, a spatial MCDA framework is proposed to perform a geospatial analysis of solar energy in the Riyadh region, which includes data collection, spatial analysis, a spatial decision support system and visualization. The methodology that was used to solve the site suitability problem is described. It involved the combination of a Geographical Information System (GIS) and the Analytic Hierarchy Process (GIS-AHP). The results show that the most suitable sites are in the north and northwest of the Riyadh region, with an area that represents 16,748 Km2 with an 80% suitability degree. In addition, it was proven that Afif is the largest suitable city. It has high solar radiation, at an average of 2.631687 MWh/m2/year, and low temperatures, at an average of 26.3 °C, as well as having flat areas with a slope under 5°. The results were validated using a sensitivity analysis model and also compared with those for ground-based stations.

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“…In the multi-criteria decision making literature, AHP approach has been used in the numerous applications such as selection of PV plant location [28], selection of renewable energy resources for the power system [29], and the evaluation of energy technologies [30]. The many papers used AHP approach for the decision making in the power system problems, such as site selection for power plants [31], the evaluation of renewable energy resources [32], and the evaluation of PV systems [33]. For instance, Reference [34] used AHP method to evaluate the renewable energy resources in the developing countries.…”

Section: Introductionmentioning

confidence: 99%

Multi-Criteria Storage Selection Model for Grid-Connected Photovoltaics Systems

et al. 2021

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The grid-connected photovoltaics (GCPV) systems are a sustainable alternative to the conventional non-renewable electricity systems. However, GCPV systems create the many issues such as grid overloading, demand and supply variations, and power quality issues. A key way to address such issues is the integration of the effective energy storage technologies in GCPV systems. There are many storage technologies which can be connected with GCPV systems. The integration of a proper storage technology into the GCPV systems may provide a best alternative. This paper evaluates the different storage technologies for GCPV systems using the analytic hierarchy process (AHP) approach. The goal of the AHP model was the selection of the best storage alternative for GCPV systems based on the multiple criteria. The criteria included the storage parameters as well as the parameters related to the compatibility with GCPV systems. The results exhibited that the pumped hydro storage is the best alternative if all the storage and compatibility parameters are equally desirable. However, if AHP model gives the highest preference to the criteria ''integration simplicity regarding renewable energy'' and ''geographic limitations'', the several other storage technologies achieve the higher rankings. Hence, the AHP model provides a greater flexibility to evaluate the different storage technologies for GCPV systems under different circumstances.INDEX TERMS Analytic hierarchy process (AHP), electrical power grid, environmental sustainability, power flow balancing, power system planning, power system reliability, renewable energy, solar energy, PV.

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Optimal Decision-Making in Photovoltaic System Selection in Saudi Arabia

Cited by 26 publications

References 43 publications

The Model of Support for the Decision-Making Process, While Organizing Dredging Works in the Ports

The Model of Support for the Decision-Making Process, While Organizing Dredging Works in the Ports

Geospatial Analysis of Solar Energy in Riyadh Using a GIS-AHP-Based Technique

Multi-Criteria Storage Selection Model for Grid-Connected Photovoltaics Systems

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