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2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) 2019
DOI: 10.1109/pvsc40753.2019.8981282
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Effect of irradiance data on the optimal sizing of photovoltaic water pumping systems

Abstract: 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 a… Show more

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Cited by 4 publications
(3 citation statements)
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“…Atmospheric sub-model. For each location, the irradiance on the plane of the PV modules G pv at time t can be deduced from satellite data by 47,48 :…”
Section: Methodsmentioning
confidence: 99%
“…Atmospheric sub-model. For each location, the irradiance on the plane of the PV modules G pv at time t can be deduced from satellite data by 47,48 :…”
Section: Methodsmentioning
confidence: 99%
“…Since January 2018, we have been collecting the irradiance on the plane of the PV array G pv , the ambient temperature T a , and the collected flow rate Q c in Gogma with a time step of~2.2 s [28]. The data used were rescaled to an equally spaced temporal resolution of 1 min by nearest interpolation [42,43]. The water demand is inferred from the collected flow rate and is characterized by a list of user groups g i , with their arrival time t i and their water demand volume V * di .…”
Section: Technical and Economic Models Parametersmentioning
confidence: 99%
“…2 with a time step of ~2.2 s since January 2018 with a data logger. We rescaled the data to an equally spaced temporal resolution of 1 minute by nearest interpolation [25] [26].…”
Section: Simulation and Validationmentioning
confidence: 99%