Abstract:Recently we have developed a model of photovoltaic water pumping systems (PVWPS) for domestic water access in poor rural areas. In this article, we perform a sensitivity analysis over the 14 parameters of this model. We study how the variation of the parameters value influences the model output and the optimal sizing obtained from the model, for both the dry and the wet season. Results indicate that the peak power of the photovoltaic modules, the efficiency of the motor-pump and the tank volume have the highes… Show more
“…In this article, only the source and the temporal resolution of change (see section III) while we use measured data with a 1 minute temporal resolution for the two other inputs of the model ( and ). Indeed, we showed that has a small effect on the model output [12] and we investigated the influence of in a previous article [13].…”
Section: Photovoltaic Water Pumping System Modelmentioning
confidence: 99%
“…The data were rescaled to an evenly spaced temporal resolution of 1 minute by nearest interpolation. The evolution of the measured quantities has been reported in [10] and [12].…”
Section: Photovoltaic Water Pumping System Modelmentioning
confidence: 99%
“…A. Optimization Problem [12] The peak power of the PV modules , , the motor-pump reference and the tank volume are the variables of the optimization. The characteristic curves of 8 references of submersible SQFlex motor-pumps from Grundfos were digitized (references 8A-3, 5A-3, 0.6-2, 1.2-2, 11A-3, 8A-5, 5A-7, 2.5-2) [18].…”
Section: Influence On Optimal System Sizingmentioning
Photovoltaic water pumping systems (PVWPS) are an interesting solution to improve water access in off-grid areas. Irradiance being the main input of PVWPS models, the source (local sensor or satellite database) and temporal resolution of irradiance data strongly influence the accuracy of PVWPS models and the optimal sizing obtained from these models. We show that we can use satellite data instead of data from a local sensor and a temporal resolution of 1 hour without significantly changing the model accuracy and optimization results. These results can allow to intensify the implementation of PVWPS in off-grid areas.
“…In this article, only the source and the temporal resolution of change (see section III) while we use measured data with a 1 minute temporal resolution for the two other inputs of the model ( and ). Indeed, we showed that has a small effect on the model output [12] and we investigated the influence of in a previous article [13].…”
Section: Photovoltaic Water Pumping System Modelmentioning
confidence: 99%
“…The data were rescaled to an evenly spaced temporal resolution of 1 minute by nearest interpolation. The evolution of the measured quantities has been reported in [10] and [12].…”
Section: Photovoltaic Water Pumping System Modelmentioning
confidence: 99%
“…A. Optimization Problem [12] The peak power of the PV modules , , the motor-pump reference and the tank volume are the variables of the optimization. The characteristic curves of 8 references of submersible SQFlex motor-pumps from Grundfos were digitized (references 8A-3, 5A-3, 0.6-2, 1.2-2, 11A-3, 8A-5, 5A-7, 2.5-2) [18].…”
Section: Influence On Optimal System Sizingmentioning
Photovoltaic water pumping systems (PVWPS) are an interesting solution to improve water access in off-grid areas. Irradiance being the main input of PVWPS models, the source (local sensor or satellite database) and temporal resolution of irradiance data strongly influence the accuracy of PVWPS models and the optimal sizing obtained from these models. We show that we can use satellite data instead of data from a local sensor and a temporal resolution of 1 hour without significantly changing the model accuracy and optimization results. These results can allow to intensify the implementation of PVWPS in off-grid areas.
“…In this study, a suitability map is produced for solar PV-suitable sites. The criteria weights were changed with a certain percent from that of original weights to show the change in the suitability map of solar PV [30,[48][49][50][51][52][53].…”
Section: Sensitivity Analysis Concepts In Arcgismentioning
The Ethiopian government looked towards renewable energy resources to generate electrical power for the current demand of the country. 85% of the total population of the country lives in rural areas and uses fossil fuel for their domestic uses. Using fossil fuel poses a danger for users and the environment. And the government of Ethiopia planned to electrify 85% of the rural community with abundant available renewable resources around the community. Therefore, identifying potential locations for solar PV with GIS is a decision support tool for proposing suitable sites to the government. The solar PV suitability analysis provides optimal locations for solar PV power plant installations. To find suitable locations for solar PV, factors that affect suitability were identified and weighted using analytical hierarchy processes. Then, the weighted values and reclassified values were multiplied together to produce the final suitability map for solar PV. Due to site unsuitability, solar PV generation efficiency drops and may malfunction. By identifying the most suitable locations, a solar PV power plant is optimally located. Therefore, the objective of this study was to find the most suitable sites in the South Gondar Zone for generating power from solar PV. The suitability of the study area for a solar PV power plant is 86.5%. Eighty-six (86%) of the criteria considered in the study area were found to be suitable for optimal location of solar PV power plant. Most of the suitable areas were found in the western part of the zone. The nature of topography is a key factor in generating solar energy; it affects the solar irradiance coming to the solar PV panel surface.
“…While focus on the level of static water not accounting for costs of (drilling for wells, exploration and manpower) were not considered in [14]. The authors in [15], performed sensitivity analysis on 14 parameters and showed that the thermal parameters and hydraulic losses had a negligible effect on the model output and the optimal formation. In [16] the effect of temporal resolution of water consumption rate on model accuracy and optimum sizing (pv sys) was studied.…”
The rural-isolated agricultural region in Iraq and some developing countries lack access to electricity, and thus the primarily alternative is to use diesel water pumping systems to irrigate their crops. However, due to a rise in the oil's price on the international market, toxic pollution from burning oil, high maintenance costs, and short lifespans have been challenged to create more viable alternatives. Renewable energy can limit the use of fossil fuels, particularly by using the solar-powered water pumping system. This article aimed at finding an optimal design for a direct-coupled photovoltaic water pumping system in Iraq. The article presents the significant design aspect for an optimal system, such as the groundwater aquifer depth, installation aspect, cost, and irrigation efficiency. The design offers a combination of sprinkler and environmentally sustainable and cost-effective photovoltaic technology to reduce electricity and water use. A deep well to the storage system is adopted with, 40m maximum well depth, 90m3 reservoir, 1200W submersible pump, and 1800 Wp, which can supply water to 12 greenhouses for three days. The yearly results show pumping efficiency is increased up to 42.6%, used water need is achieved at 10950 m3, and unused energy is reduced by 48.8%.
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