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A simplified model for the estimation of energy production of PV systems

A simplified model for the estimation of energy production of PV systems
A simplified model for the estimation of energy production of PV systems

The potential of solar energy is far higher than any other renewable source, although several limits exist. In detail the fundamental factors that must be analyzed by investors and policy makers are the cost-effectiveness and the production of PV power plants, respectively, for the decision of investment schemes and energy policy strategies. Tools suitable to be used even by non-specialists, are therefore becoming increasingly important. Many research and development effort have been devoted to this goal in recent years. In this study, a simplified model for PV annual production estimation that can provide results with a level of accuracy comparable with the more sophisticated simulation tools from which it derives is fundamental data. The main advantage of the presented model is that it can be used by virtually anyone, without requiring a specific field expertise. The inherent limits of the model are related to its empirical base, but the methodology presented can be effectively reproduced in the future with a different spectrum of data in order to assess, for example, the effect of technological evolution on the overall performance of PV power generation or establishing performance benchmarks for a much larger variety kinds of PV plants and technologies.

PV production estimation, PV systems simulation, Statistical learning
0360-5442
503-512
Aste, Niccolò
9f0175c5-0192-4167-ac2e-c3735c794fde
Del Pero, Claudio
3462791d-5f1b-4c2c-9f0a-4f9005b47435
Leonforte, Fabrizio
f4d9dad5-2d48-49b2-a6f7-b9dcda5ab9de
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392
Aste, Niccolò
9f0175c5-0192-4167-ac2e-c3735c794fde
Del Pero, Claudio
3462791d-5f1b-4c2c-9f0a-4f9005b47435
Leonforte, Fabrizio
f4d9dad5-2d48-49b2-a6f7-b9dcda5ab9de
Manfren, Massimiliano
f2b8c02d-cb78-411d-aed1-c4d056365392

Aste, Niccolò, Del Pero, Claudio, Leonforte, Fabrizio and Manfren, Massimiliano (2013) A simplified model for the estimation of energy production of PV systems. Energy, 59, 503-512. (doi:10.1016/j.energy.2013.07.004).

Record type: Article

Abstract

The potential of solar energy is far higher than any other renewable source, although several limits exist. In detail the fundamental factors that must be analyzed by investors and policy makers are the cost-effectiveness and the production of PV power plants, respectively, for the decision of investment schemes and energy policy strategies. Tools suitable to be used even by non-specialists, are therefore becoming increasingly important. Many research and development effort have been devoted to this goal in recent years. In this study, a simplified model for PV annual production estimation that can provide results with a level of accuracy comparable with the more sophisticated simulation tools from which it derives is fundamental data. The main advantage of the presented model is that it can be used by virtually anyone, without requiring a specific field expertise. The inherent limits of the model are related to its empirical base, but the methodology presented can be effectively reproduced in the future with a different spectrum of data in order to assess, for example, the effect of technological evolution on the overall performance of PV power generation or establishing performance benchmarks for a much larger variety kinds of PV plants and technologies.

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More information

Accepted/In Press date: 1 July 2013
e-pub ahead of print date: 26 July 2013
Published date: 15 September 2013
Keywords: PV production estimation, PV systems simulation, Statistical learning

Identifiers

Local EPrints ID: 413999
URI: http://eprints.soton.ac.uk/id/eprint/413999
ISSN: 0360-5442
PURE UUID: ffe0f935-eae1-4e8b-9722-127d53dea228
ORCID for Massimiliano Manfren: ORCID iD orcid.org/0000-0003-1438-970X

Catalogue record

Date deposited: 12 Sep 2017 16:31
Last modified: 16 Mar 2024 04:29

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Contributors

Author: Niccolò Aste
Author: Claudio Del Pero
Author: Fabrizio Leonforte

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