z-logo
open-access-imgOpen Access
Optimal Design of Hybrid Power Generation System to Ensure Reliable Power Supply to the Health Center at Umm Jamal, Mafraq, Jordan
Author(s) -
Ahmad Bataineh,
Amin Alqudah,
Abedalgany Athamneh
Publication year - 2014
Publication title -
energy and environment research
Language(s) - English
Resource type - Journals
eISSN - 1927-0577
pISSN - 1927-0569
DOI - 10.5539/eer.v4n3p9
Subject(s) - renewable energy , photovoltaic system , automotive engineering , diesel generator , wind power , computer science , hybrid system , turbine , diesel fuel , environmental science , wind speed , generator (circuit theory) , power (physics) , electrical engineering , meteorology , engineering , mechanical engineering , physics , quantum mechanics , machine learning
Remote areas are usually fed from generators that run on diesel. Recently, there is an increasing interest on hybrid renewable energy sources, especially wind and solar energies for their availability and competitive running cost in the Middle East region. The hybrid renewable energy generation systems usually have two or more different generation (or storage) sources of different types to secure a continuous supply for the electrical loads. The paper presents a case study of a remote health center which operates 24 hours a day, and shows the importance of relying on renewable energy systems. The system considered consists of Wind Turbine, Batteries, photovoltaic, and conventional diesel generator to feed a load variable at a rate of 55 kWh/day with 5.9 kW peak load. The study is based on real data of wind speed and solar radiation obtained from official authorities. The various available options are compared technically and economically using a HOMER software package. The optimal reliable system is selected and the capacity of the system components is specified.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom