Solar electricity prospects in Oman using GIS-based solar radiation maps

Gastli, Adel; Charabi, Yassine

doi:10.1016/j.rser.2009.08.018

Cited by 169 publications

(66 citation statements)

References 31 publications

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“…Based on the National Renewable Energy Laboratory (NREL) classification, solar resource potential are in four classes: Moderate (< 4 kWh/m 2 /day), good (> 4-5 kWh/m 2 /day), very good (> 5-6 kWh/m 2 /day) and excellent (> 6-7 kWh/m 2 /day (Funabashi, 2011). The contribution of this study to the field of science as well as its relevance to the socio-economic development of the case study is commendable.…”

Section: Discussionmentioning

confidence: 99%

“…Solar radiation offers information of solar energy prospect at the site of interest (Funabashi, 2011). Longterm average solar irradiance is the main factor required for large-scale PV power plant installation and connection (Tisza, 2014).…”

Section: Datasets and Criteria Definitionmentioning

confidence: 99%

“…First, annual energy generation potential was calculated using the total area exposed to solar radiation (packing factor) of 0.5, optimal areas, average annual solar radiation and panel efficiency (15%). The expressions used to estimate the annual electricity generation potential and installation capacity are Equation 1 and 2 Gastli and Charabi, 2010):…”

Section: Predicting Annual Energy Generation Potential Installation mentioning

confidence: 99%

See 2 more Smart Citations

GIS-Based Optimal Site Selection for Installation of Large-Scale Smart Grid-Connected Photovoltaic (PV) Power Plants in Selangor, Malaysia

Lurwan¹,

Idrees²,

Ahmed³

et al. 2017

American Journal of Applied Sciences

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This study presents a GIS-based model to identify optimal sites to install large-scale smart grid-connected Photovoltaic (PV) power plants. Input datasets include digital elevation model, road networks, grid lines and daily average solar radiation. Using multi-criteria decision-making approach, we set constraining conditions for slope, proximity to the road, proximity to grid lines, solar radiation and land use to optimize the process of selecting suitable sites. Also, we predicted energy generation potential, installation capacity and CO 2 emission reduction potential. The result shows that 790.48 km 2 (40%) of the study is optimal for large-scale PV installation. Furthermore, a total of 105276.88 GWh/yr annual electricity generation, 59.29 GW installation capacity and yearly CO 2 emission reduction of 66324 (kt-CO 2 /yr) are estimated for Selangor. This study indicates that based on the 2030 national energy demand, about 38.4% of the annual energy demand could be met if 59.29 GW capacity is install in Selangor. Similarly, the study predicts 13.2% annual carbon emission reduction offset from the predicted 2020 CO 2 emission.

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Section: Discussionmentioning

confidence: 99%

Section: Datasets and Criteria Definitionmentioning

confidence: 99%

Section: Predicting Annual Energy Generation Potential Installation mentioning

confidence: 99%

See 1 more Smart Citation

GIS-Based Optimal Site Selection for Installation of Large-Scale Smart Grid-Connected Photovoltaic (PV) Power Plants in Selangor, Malaysia

Lurwan¹,

Idrees²,

Ahmed³

et al. 2017

American Journal of Applied Sciences

View full text Add to dashboard Cite

show abstract

“…For example, Höhn et al applied a GIS tool to analyze the spatial distribution of biomass resources in a certain region of Finland to optimize the location of biogas power plants [5]. On the other hand, other authors have taken advantage of GIS tools to create solar atlas and estimate with high precision the power potential of Concentrated Solar Energy (CSP) power plants [6].…”

Section: Introductionmentioning

confidence: 99%

Development of a GIS Tool for a High Precision PV Degradation Monitoring and Supervision: Feasibility Analysis in Large and Small PV Plants

Simón-Martín¹,

Diez-Suárez²,

Prado³

et al. 2017

Preprint

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Abstract:It is well known that working PV plants show several maintenance needs due to wiring and modules degradation, mismatches, dust and PV cells defects and faults. There are a wide range of studies that show the theoretical and some laboratory tests of how these circumstances may affect the PV production. Thus, it results mandatory to evaluate the whole PV plant performance and, then, it's payback time, profitability and environmental impact or carbon footprint. However, very few studies include a systematic procedure to quantify and supervise the real degradation effects and faults impacts on the field. In this paper, the authors first conduct a brief review of the most frequent PV faults and degradation that can be found on real conditions operative PV Plants. Then, they propose and develop an innovative Geographic Information System application to locate and supervise them. The designed tool has been applied to either a large PV plant of 108 kWp and a small PV plant of just 9 kWp installed on a home rooftop. For the large PV plant, 24 strings of PV modules have been modelized and introduced into the GIS application and every module in the power plant has been studied including voltage, current, power, series and parallel resistance, fill factor, normalized PV curve to STC, thermography and visual analysis. For the small PV installation 3 strings of PV panels have been studied identically. It must be noticed that PV modules in this case include power optimizers. The precision of the study allows the researchers to locate and supervise up to a third part of every PV cell in the system, which are adequately georreferenciated. The developed tool allows both the researchers and the investors to increase control on the PV plant performance and conducts to a better planification of maintenance actuations and to evaluate several PV modules replacement strategies in a preventive maintenance programme. Found PV faults include hot spots, snail tracks, EVA discoloration, PV cells fractures, busbars discoloration, bubbles and Si discoloration.

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“…Moreover, because of air pollution and global 4 warming most of the countries look forward to shifting from fossil fuel to renewable energy. However, due to lack of financial supporters and availability of fossil fuels, improvement of renewable energy is slow in Iran [6]. The growth of utilizing wind energy and installed capacity is shown in figure 3 [7]: Figure 3.…”

Section: Introductionmentioning

confidence: 99%

Placement of Wind Farms Based on a Hybrid Multi Criteria Decision Making for Iran

Heidarzadeh

Varzandeh

Rahbari³

et al. 2014

Proceedings of the 4th World Sustainability Forum

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In the current century, energy is become as one of the most critical issues in human's life. Due to global warming, air pollution and the other problems caused by fossil fuels, one of the appropriate sources which is renewable and is invested is wind energy. Iran has a good potential to use wind energy based on its geographical features. Therefore, to have the best productivity to employ wind energy, location of farm winds in a suitable site is a delicate issue. This research applies a hybrid MCDM method for prioritizing potential cities in Iran to install wind farms. In this regard, Step-wise Weight Assessment Ratio Analysis (SWARA) is employed to rank criteria and Weighted Aggregates Sum Product Assessment (WASPAS) is utilized to evaluate alternatives. In this study 68 cities are detected as high potential places for this aim. Eventually, the most appropriate city is identified as the best place to install wind farms. The results of this research draw a OPEN ACCESS 2 conclusion for decision making and planning of energy management in top level of managing requirements of countries in all aspects.

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Solar electricity prospects in Oman using GIS-based solar radiation maps

Cited by 169 publications

References 31 publications

GIS-Based Optimal Site Selection for Installation of Large-Scale Smart Grid-Connected Photovoltaic (PV) Power Plants in Selangor, Malaysia

GIS-Based Optimal Site Selection for Installation of Large-Scale Smart Grid-Connected Photovoltaic (PV) Power Plants in Selangor, Malaysia

Development of a GIS Tool for a High Precision PV Degradation Monitoring and Supervision: Feasibility Analysis in Large and Small PV Plants

Placement of Wind Farms Based on a Hybrid Multi Criteria Decision Making for Iran

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