REAST : renewable energy analysis and sizing tool
Joint Authors
Gupta, S. C.
Kumar, Y.
Agnihotri, Gayatri
Source
Issue
Vol. 7, Issue 2 (30 Jun. 2011), pp.206-224, 19 p.
Publisher
Publication Date
2011-06-30
Country of Publication
Algeria
No. of Pages
19
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
Abstract EN
This paper reports the development of a computer model ‘Renewable Energy Analysis and Sizing Tool (REAST)’.
Aim of the model is to find an optimal configuration of photovoltaic wind hybrid energy system comprising battery and generator as a back up.
The optimal configuration with least cost and high reliability is obtained on the basis of loss of power supply probability method.
New mathematical models are used to asses the performance of solar and wind systems.Net present cost method is used to determine the cost of system configuration.
A novel penalty function is employed for low reliability level in the cost calculation.
The model is very useful for analyzing the performance of the system and gaining a better insight in the components sizes before they are really built.
Usefulness of the model is illustrated by means of a case study.
Program is developed in MATLAB environment.
American Psychological Association (APA)
Gupta, S. C.& Kumar, Y.& Agnihotri, Gayatri. 2011. REAST : renewable energy analysis and sizing tool. Journal of Electrical Systems،Vol. 7, no. 2, pp.206-224.
https://search.emarefa.net/detail/BIM-291088
Modern Language Association (MLA)
Gupta, S. C.…[et al.]. REAST : renewable energy analysis and sizing tool. Journal of Electrical Systems Vol. 7, no. 2 (Jun. 2011), pp.206-224.
https://search.emarefa.net/detail/BIM-291088
American Medical Association (AMA)
Gupta, S. C.& Kumar, Y.& Agnihotri, Gayatri. REAST : renewable energy analysis and sizing tool. Journal of Electrical Systems. 2011. Vol. 7, no. 2, pp.206-224.
https://search.emarefa.net/detail/BIM-291088
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 224
Record ID
BIM-291088