NDLI: Worldwide photovoltaic energy yield sensitivity from a variety of input losses

Content Provider	IET Digital Library
Author	Ransome, Steve
Abstract	The energy yield of a system depends largely on how the photovoltaic (PV) panels perform at different weather conditions (particularly plane of array irradiance and module temperature) summed over the hourly meteorological data for a year at the given site. Some of the PV performance parameters such as ‘efficiency at low light/efficiency at standard conditions’ and the ‘P MAX thermal coefficient’ can vary between technologies and may be able to be improved by better production methods (for example, improving uniformity, reducing shunts, reducing series resistance or improving the thermal design). The sensitivity of energy yield (kilowatt hour/year) against PV input value will be site dependent, for example, high insolation sites will usually experience higher module temperatures so that improvements in temperature coefficients would be more beneficial at higher than at lower insolation. This study studies the effect of the sensitivity of energy yield at five different sites (from northern Europe to desert) of six different PV input values (including low-light efficiency, P MAX temperature coefficient and nominal operating cell temperature). It quantifies the benefits at each site of good temperature coefficients or improving the low-light efficiency and also the need for wide V MP inverter ranges at sites with wide seasonal temperature differences.
Starting Page	398
Ending Page	404
Page Count	7
ISSN	17521416
Volume Number	9
e-ISSN	17521424
Issue Number	Issue 5, Jul (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/9/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2014.0362
Journal	IET Renewable Power Generation
Publisher Date	2015-06-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Array Irradiance Hourly Meteorological Data Input Loss Variety Module Temperature Nominal Operating Cell Temperature Photovoltaic Panels Photovoltaic Power System PMAX Temperature Coefficient PMAX Thermal Coefficient Production Method Sensitivity Analysis Series Resistance Reduction Shunt Reduction Solar Power Stations Temperature Measurement Thermal Design Improvement Thermal Variables Measurement Uniformity Improvement Weather Condition Worldwide Photovoltaic Energy Yield Sensitivity
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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