A combined model for PV system lifetime energy prediction and annual energy assessment

Tatiani Georgitsioti, Nicola Pearsall, Ian Forbes, Gobind Pillai

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This paper presents a generic model for the prediction of the lifetime energy production of photovoltaic (PV) systems and the assessment of their annual energy yield in different time periods of operation. As case studies, it considers domestic PV system
generation potentials in the UK and India to demonstrate the model results across a range of contrasting climatic and operating conditions. The model combines long -term averages of solar data, a commercial PV system simulation package and a probability
density function to express the range of the annual energy prediction in different time periods of system operation. Moreover, a sensitivity analysis based on degradation rates and energy output uncertainties is embedded in the lifetime energy calculations. The
importance of the reliability and maintenance of the PV systems and the energy prediction risks, especially regarding economic viability, are demonstrated through the PV lifetime energy potentials in these two countries. It is shown that, even for countries that
are significantly different in respect to their solar resource, PV systems may produce similar amounts of energy during their lifetime for reasonable assumptions of degradation rates and uncertainty levels.
Original languageEnglish
Pages (from-to)738-744
Number of pages7
JournalSolar Energy
Volume183
Early online date23 Mar 2019
DOIs
Publication statusPublished - 1 May 2019

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Degradation
Potential energy
Sensitivity analysis
Economics
Uncertainty

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Georgitsioti, Tatiani ; Pearsall, Nicola ; Forbes, Ian ; Pillai, Gobind. / A combined model for PV system lifetime energy prediction and annual energy assessment. In: Solar Energy. 2019 ; Vol. 183. pp. 738-744.
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A combined model for PV system lifetime energy prediction and annual energy assessment. / Georgitsioti, Tatiani; Pearsall, Nicola ; Forbes, Ian ; Pillai, Gobind.

In: Solar Energy, Vol. 183, 01.05.2019, p. 738-744.

Research output: Contribution to journalArticleResearchpeer-review

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