• Login
  • Help Guide
View Item 
  •   JOOUST IR Home
  • Conference/Workshop/Seminar Papers
  • School of Biological, Physical, Mathematics & Actuarial Sciences
  • View Item
  •   JOOUST IR Home
  • Conference/Workshop/Seminar Papers
  • School of Biological, Physical, Mathematics & Actuarial Sciences
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Analysis and prediction of battery operating state in Kenyan solar home systems

Thumbnail
View/Open
Aduda _ Analysis and prediction of battery operating state in Kenyan solar home systems.pdf (19.79Kb)
Publication Date
6/24/2015
Author
Aduda, Kenneth W. O.
Type
Other
Metadata
Show full item record
Abstract/Overview

Solar power is a valuable source of electrical energy for users in the developing countries, yet many solar home systems are working at indeterminate conditions, much to the dissatisfaction of the users. Lead acid batteries are extensively used in the Kenyan standalone solar home systems (SHS). Batteries experience a wide range of variable operational conditions in PV applications which make it very difficult to accurately predict battery performance and lifetime in PV systems. Premature failure and lifetime prediction of batteries have become major concerns within the PV industry and amongst the users. Given the highly variable operating conditions of many of these SHSs, no battery model has achieved a good compromise between the complexity and precision. This study seeks to analyze and develop simplified mathematical model(s) for predicting lead acid battery operating states in Kenyan standalone solar home systems to assist in determining the mean time to failure under stated conditions. Several factors that affect battery behaviour will be considered, such as the rate and efficiency of charging, the self-discharge rate, discharge rate, including the battery capacity.

Further Details

1st JOOUST International Scientific Conference

Publisher
JOOUST
Permalink
http://www.jooust. ac.ke
http://62.24.102.115:8080/xmlui/handle/123456789/160
Collections
  • School of Biological, Physical, Mathematics & Actuarial Sciences [16]

Browse

All of JOOUST IRCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage Statistics

Contact Us

Copyright © 2023-4 Jaramogi Oginga Odinga University of Science and Technology (JOOUST)
P.O. Box 210 - 40601
Bondo – Kenya

Useful Links

  • Report a problem with the content
  • Accessibility Policy
  • Deaccession/Takedown Policy

TwitterFacebookYouTubeInstagram

  • University Policies
  • Access to Information
  • JOOUST Quality Statement