A modeling methodology to evaluate the impact of temperature on Solar Home Systems for rural electrification

Conference Paper (2018)
Author(s)

Nishant Narayan (TU Delft - DC systems, Energy conversion & Storage)

V.E. Vega-Garita (TU Delft - DC systems, Energy conversion & Storage)

Z. Qin (TU Delft - DC systems, Energy conversion & Storage)

J Popovi¿ (TU Delft - DC systems, Energy conversion & Storage)

P Bauera (TU Delft - DC systems, Energy conversion & Storage)

M Zeman (TU Delft - Electrical Sustainable Energy)

Research Group
DC systems, Energy conversion & Storage
DOI related publication
https://doi.org/10.1109/ENERGYCON.2018.8398756
More Info
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Publication Year
2018
Language
English
Research Group
DC systems, Energy conversion & Storage
Pages (from-to)
1-6
ISBN (electronic)
978-1-5386-3669-5

Abstract

Solar Home Systems (SHS) have recently gained prominence as the most promising solution for increasing energy access in remote, off-grid communities. However, the higher than standard testing conditions (STC) temperatures have a significant impact on the SHS components like PhotoVoltaic (PV) module and battery. A modeling methodology is described in this study for quantifying the temperature impact on SHS. For a particular location with high irradiation and temperatures and a given load profile, an SHS model was simulated, and the temperature-impact was analyzed on the performance and lifetime of the SHS components. Different PV module temperature estimation models were applied, and the corresponding dynamic PV outputs were compared. The nominal operating cell temperature (NOCT) model was found inadequate for estimating PV module temperatures under high irradiance conditions. The PV yield was found to be affected by almost 10% due to thermally induced losses. When different levels of temperature variations were considered, the battery lifetime was seen to be up to 33% less than that at 25 ° C. The modeling methodology presented in this paper can be used to include the thermal losses in SHS for rural electrification, which can further help accordingly in system sizing.

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