Faculté des sciences de Gafsa, Compus universitaire sidi Ahmed zarroug, 2112 Gafsa, Tunisia University of Sfax, Tunisia
BibTex Citation Data :
@article{IJRED10122, author = {Nabiha Brahmi and Sana Charfi and Maher Chaabene}, title = {Optimum Sizing Algorithm for An Off Grid Plant Considering Renewable Potentials and Load Profile}, journal = {International Journal of Renewable Energy Development}, volume = {6}, number = {3}, year = {2017}, keywords = {Optimization, sizing algorithm; hybrid system; load profile; energy balance}, abstract = { The energy demand in remote area cannot be satisfied unless renewable energy based plants are locally installed. In order to be efficient, such projects should be sized on the basis of maximizing the renewable energies exploitation and meeting the consumer needs. The aim of this work is to provide an algorithm-based calculation of the optimum sizing of a standalone hybrid plant composed of a wind generator, a photovoltaic panel, a lead acid-battery bank, and a water tank. The strategy consists of evaluating the renewable potentials (solar and wind). Obtained results are entered as inputs to established generators models in order to estimate the renewable generations. The developed optimal sizing algorithm which is based on iterative approach, computes plant components sizes for which load profile meet estimated renewable generations. The approach validation is conducted for A PV/Wind/Battery based farm located in Sfax, Tunisia. Obtained results proved that the energetic need is covered and only about 4% of the generated energy is not used. Also a cost investigation confirmed that the plant becomes profitable ten years after installation. Article History : Received June 24 th 2017; Received in revised form September 26 th 2017; Accepted Sept 30 th 2017; Available online Citation : Brahmi, N., Charfi, S., and Chaabene, M. (2017) Optimum Sizing Algorithm for an off grid plant considering renewable potentials and load profile. Int. Journal of Renewable Energy Development, 6(3), 213-224. https://doi.org/10.14710/ijred.6.3.213-224}, pages = {213--224} doi = {10.14710/ijred.6.3.213-224}, url = {https://ejournal.undip.ac.id/index.php/ijred/article/view/10122} }
Refworks Citation Data :
Article History: Received June 24th 2017; Received in revised form September 26th 2017; Accepted Sept 30th 2017; Available online
Citation: Brahmi, N., Charfi, S., and Chaabene, M. (2017) Optimum Sizing Algorithm for an off grid plant considering renewable potentials and load profile. Int. Journal of Renewable Energy Development, 6(3), 213-224.
Article Metrics:
Last update:
A New Approach for Optimal Sizing of a Grid Connected PV System Using PSO and GA Algorithms: Case of Tunisia
Smart Energy Empowerment in Smart and Resilient Cities
Assembly of quinone-based renewable biobattery using redox molecules from Lawsonia inermis
Last update: 2024-12-11 02:55:03
Power Flow Analyses of a Standalone 5-Buses IEEE DC Microgrid for Arid Saharian Zone (South of Algeria)
Static-Dynamic Analysis of an LVDC Smart Microgrid for a Saharian-Isolated Areas Using ETAP/MATLAB Software
Management of MPPT technics and energy storage on renewable hybrid power systems
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. Articles are freely available to both subscribers and the wider public with permitted reuse.
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options: Creative Commons Attribution-ShareAlike (CC BY-SA). Authors and readers can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, even commercially, but they must give appropriate credit (cite to the article or content), provide a link to the license, and indicate if changes were made. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
International Journal of Renewable Energy Development (ISSN:2252-4940) published by CBIORE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.