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Optimization of Photovoltaic Energy Systems for Residential Customers in Hot Climate Areas Based on Seasonal and Average Daily Load Profile
Author(s) -
Zubair Muhammad,
Bilal Awan Ahmed
Publication year - 2021
Publication title -
energy technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.91
H-Index - 44
eISSN - 2194-4296
pISSN - 2194-4288
DOI - 10.1002/ente.202100036
Subject(s) - photovoltaic system , azimuth , tilt (camera) , metre , tracking (education) , energy (signal processing) , payback period , environmental science , cooling load , tracking system , meteorology , mathematics , electrical engineering , engineering , physics , geometry , statistics , mechanical engineering , psychology , pedagogy , filter (signal processing) , astronomy , production (economics) , air conditioning , economics , macroeconomics
Fixed tilted, single‐axis tracking, and dual‐axis tracking PV systems are compared for one‐way energy meters and net‐energy meters. Optimization of the tilt angle and azimuth angle based on the load profile in one‐way energy meters enhances the net present value. The higher energy demands of summer can be met by lower tilt angles while the PV energy peak can be shifted towards the higher load hours by adjusting the azimuth angle. The results show that the net‐energy system with single‐axis tracking outperforms dual‐axis tracking and fixed tilted systems for a residential PV system one‐way meter, the load curve can be used to optimize the tilt angle and azimuth angle of a fixed tilted system to achieve a higher net present value (NPV) with added advantages of lower building cooling loads and lower self‐shading losses of the PV system. The comparison between the base‐case PV system and the optimized system of a fixed tilted system on a one‐way energy meter in Islamabad and Lahore shows a 15% and 13.7% higher NPV, 3.5%, and 3.6% lower simple payback period respectively. The optimized PV energy system also achieved 28% and 25% more savings in the cooling load of the houses in Islamabad and Lahore, respectively.