Estimation of Hourly, Daily and Monthly Global Solar Radiation on Inclined Surfaces: Models Re-Visited
Seyed Abbas Mousavi Maleki,
H. Hizam and
Chandima Gomes
Additional contact information
Seyed Abbas Mousavi Maleki: Department of Electrical and Electronic Engineering, Universiti Putra Malaysia, Serdang, 43400 Selangor, Malaysia
H. Hizam: Department of Electrical and Electronic Engineering, Universiti Putra Malaysia, Serdang, 43400 Selangor, Malaysia
Chandima Gomes: Department of Electrical and Electronic Engineering, Universiti Putra Malaysia, Serdang, 43400 Selangor, Malaysia
Energies, 2017, vol. 10, issue 1, 1-28
Abstract:
Global solar radiation is generally measured on a horizontal surface, whereas the maximum amount of incident solar radiation is measured on an inclined surface. Over the last decade, a number of models were proposed for predicting solar radiation on inclined surfaces. These models have various scopes; applicability to specific surfaces, the requirement for special measuring equipment, or limitations in scope. To find the most suitable model for a given location the hourly outputs predicted by available models are compared with the field measurements of the given location. The main objective of this study is to review on the estimation of the most accurate model or models for estimating solar radiation components for a selected location, by testing various models available in the literature. To increase the amount of incident solar radiation on photovoltaic (PV) panels, the PV panels are mounted on tilted surfaces. This article also provides an up-to-date status of different optimum tilt angles that have been determined in various countries.
Keywords: solar radiation model; tilt angle; isotropic and anisotropic; solar energy; hourly estimation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (29)
Downloads: (external link)
https://www.mdpi.com/1996-1073/10/1/134/pdf (application/pdf)
https://www.mdpi.com/1996-1073/10/1/134/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:1:p:134-:d:88488
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().