IIUM Repository

Analytical modelling of premises-specific solar energy estimation

K.A., K.A. and Khan, Sheroz and Yaacob,, Mashkuri and Khalifa, Othman Omran (2019) Analytical modelling of premises-specific solar energy estimation. International Journal of Recent Technology and Engineering (IJRTE), 8 (5). pp. 10971-10974. ISSN 2277-3878

[img] PDF
Restricted to Registered users only

Download (339kB) | Request a copy


Solar energy is great potential for future energy due affordability of solar related panels and equipment. SolarEnergy Microgrid for serving DC and AC loads of areas under consideration. Microgrid is a new concept for making safe, clean, and renewable solar available for use. Most of the countries have developed it solar farm in order to harvest the energy and make it useable for daily use. This energy can be used either for premises-specific loads and also distributed to other regions through the national grid through what is called Distributed Generation (DG). Estimating solar energy potential estimation of premises under target is obviously an exercise that may prove in the design of such DG microgrids. This paper presents two analytical modelling approaches for estimating the solar energy potential of a given geographical location. The two approaches are explored for estimation two very closely related amount of solar energy in kWh for eleven hours of time of a day using Heliocentris Hybrid Energy Lab-System data. The approaches may find utility in the pursuits of the renewable energy estimation needed for designing PV-solar microgrid. The mismatch of 6.31% energy estimation between the two approaches may be due to parametric complaint inaccuracy instead of the approaches employed

Item Type: Article (Journal)
Additional Information: 7334/79876
Uncontrolled Keywords: future energy; Solar energy ; Microgrid
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr Othman O. Khalifa
Date Deposited: 30 Mar 2020 15:54
Last Modified: 30 Mar 2020 15:54
URI: http://irep.iium.edu.my/id/eprint/79876

Actions (login required)

View Item View Item


Downloads per month over past year