Global Solar Insolation Estimation and Investigation: A Case Study of Various Nations and Cities

Solar insolation is sun radiation converted to electrical energy and injected into the utility network using grid-connected solar power plants. Recently, in many nations’ electricity grids, the share of power generated using solar photovoltaic (PV) power plants is rapidly increasing. In t...

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Main Authors: Kuldeep Jayaswal, G. S. Sharma, M. S. Bhaskar, Dhafer J. Almakhles, Umashankar Subramaniam, D. K. Palwalia
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9455146/
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spelling doaj-902805ceda524dcf982b5365455e6ff72021-06-23T23:00:24ZengIEEEIEEE Access2169-35362021-01-019880698808410.1109/ACCESS.2021.30895929455146Global Solar Insolation Estimation and Investigation: A Case Study of Various Nations and CitiesKuldeep Jayaswal0https://orcid.org/0000-0002-8959-1163G. S. Sharma1M. S. Bhaskar2https://orcid.org/0000-0002-3147-2532Dhafer J. Almakhles3https://orcid.org/0000-0002-5165-0754Umashankar Subramaniam4https://orcid.org/0000-0003-3541-9218D. K. Palwalia5https://orcid.org/0000-0001-6458-7646Department of Electrical Engineering, Rajasthan Technical University, Kota, IndiaDepartment of System Engineering, ib Vogt GmbH, Helmholtzstr, Berlin, GermanyDepartment of Communications and Networks Engineering, College of Engineering, Renewable Energy Laboratory, Prince Sultan University, Riyadh, Saudi ArabiaDepartment of Communications and Networks Engineering, College of Engineering, Renewable Energy Laboratory, Prince Sultan University, Riyadh, Saudi ArabiaDepartment of Communications and Networks Engineering, College of Engineering, Renewable Energy Laboratory, Prince Sultan University, Riyadh, Saudi ArabiaDepartment of Electrical Engineering, Rajasthan Technical University, Kota, IndiaSolar insolation is sun radiation converted to electrical energy and injected into the utility network using grid-connected solar power plants. Recently, in many nations&#x2019; electricity grids, the share of power generated using solar photovoltaic (PV) power plants is rapidly increasing. In this case study, solar insolation levels on different latitudes with fix &#x0026; two seasonal tilt angles have been measured using Meteonorm<sup>&#x00AE;</sup> software. For these latitudes, fourteen airport locations have been chosen across the globe. From the case study, it has been evident that a double seasonal tilt angle provides more global insolation as compared to fix tilt angle with a suitable azimuth angle. There is also a reduction in insolation level at fixed and two seasonal tilt angles if going away from the equator. Further, up to three seasonal tilt angles, there is sufficient enhancement has been observed in solar insolation. It is also analyzed that for multiple seasonal tilt angle based solar PV Plant, month-wise tilt angle selection is more important. Further Average, Rectangular, and Trapezoidal methods have been used for estimation of cumulative inclined insolation for a specific period and compared. From the comparison, the trapezoidal method has been found optimal for accurate estimation of cumulative inclined insolation.https://ieeexplore.ieee.org/document/9455146/Average methoderror comparisoninsolation estimationrectangular methodsolar PVPV module direction
collection DOAJ
language English
format Article
sources DOAJ
author Kuldeep Jayaswal
G. S. Sharma
M. S. Bhaskar
Dhafer J. Almakhles
Umashankar Subramaniam
D. K. Palwalia
spellingShingle Kuldeep Jayaswal
G. S. Sharma
M. S. Bhaskar
Dhafer J. Almakhles
Umashankar Subramaniam
D. K. Palwalia
Global Solar Insolation Estimation and Investigation: A Case Study of Various Nations and Cities
IEEE Access
Average method
error comparison
insolation estimation
rectangular method
solar PV
PV module direction
author_facet Kuldeep Jayaswal
G. S. Sharma
M. S. Bhaskar
Dhafer J. Almakhles
Umashankar Subramaniam
D. K. Palwalia
author_sort Kuldeep Jayaswal
title Global Solar Insolation Estimation and Investigation: A Case Study of Various Nations and Cities
title_short Global Solar Insolation Estimation and Investigation: A Case Study of Various Nations and Cities
title_full Global Solar Insolation Estimation and Investigation: A Case Study of Various Nations and Cities
title_fullStr Global Solar Insolation Estimation and Investigation: A Case Study of Various Nations and Cities
title_full_unstemmed Global Solar Insolation Estimation and Investigation: A Case Study of Various Nations and Cities
title_sort global solar insolation estimation and investigation: a case study of various nations and cities
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description Solar insolation is sun radiation converted to electrical energy and injected into the utility network using grid-connected solar power plants. Recently, in many nations&#x2019; electricity grids, the share of power generated using solar photovoltaic (PV) power plants is rapidly increasing. In this case study, solar insolation levels on different latitudes with fix &#x0026; two seasonal tilt angles have been measured using Meteonorm<sup>&#x00AE;</sup> software. For these latitudes, fourteen airport locations have been chosen across the globe. From the case study, it has been evident that a double seasonal tilt angle provides more global insolation as compared to fix tilt angle with a suitable azimuth angle. There is also a reduction in insolation level at fixed and two seasonal tilt angles if going away from the equator. Further, up to three seasonal tilt angles, there is sufficient enhancement has been observed in solar insolation. It is also analyzed that for multiple seasonal tilt angle based solar PV Plant, month-wise tilt angle selection is more important. Further Average, Rectangular, and Trapezoidal methods have been used for estimation of cumulative inclined insolation for a specific period and compared. From the comparison, the trapezoidal method has been found optimal for accurate estimation of cumulative inclined insolation.
topic Average method
error comparison
insolation estimation
rectangular method
solar PV
PV module direction
url https://ieeexplore.ieee.org/document/9455146/
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