1National Centre for Hydropower Research and Development, University of Ilorin, Ilorin, Nigeria
2Advanced Power and Green Energy Research Group, Department of Electrical and Electronics Engineering, University of Ilorin, Ilorin, Nigeria
3Department of Telecommunication Engineering, Federal University of Technology Minna, Nigeria
4 Department of Water Resources and Environmental Engineering, University of Ilorin, Ilorin, Nigeria
BibTex Citation Data :
@article{IJRED31316, author = {Akinola Oladeji and Mudathir Akorede and Salihu Aliyu and Abdulrasaq Mohammed and Adebayo Salami}, title = {Simulation-Based Optimization of Hybrid Renewable Energy System for Off-grid Rural Electrification}, journal = {International Journal of Renewable Energy Development}, volume = {10}, number = {4}, year = {2021}, keywords = {Renewable energy technologies; optimization; energy match ratio; loss-of-load probability; rural electrification; off-grid;}, abstract = { There is a need to develop an optimization tool that can be applied in the feasibility study of a hybrid renewable energy system to find the optimal capacity of different renewable energy resources and support the decision makers in their performance investigation. A multi-objective function which minimizes the Levelized Cost of Energy (LCOE) and Loss of Load Probability Index (LLPI) but maximizes the novel Energy Match Ratio (EMR) was formulated. Simulation-based optimization method combined with ε-constraint technique was developed to solve the multi-objective optimization problem. In the study, ten-year hourly electrical load demand, using the end-use model, is estimated for the communities. The performance of the developed algorithm was evaluated and validated using Hybrid Optimization Model for Electric Renewables (HOMER ®) optimization software. T he developed algorithm minimized the LCOE by 6.27% and LLPI by 167% when compared with the values of LCOE (\$ 0.444/kWh ) and LLPI ( 0.000880 ) obtained from the HOMER ® optimization tool. Also, the LCOE with the proposed approach was calculated at \$0.417/kWh, which is lower than the \$0.444/kWh obtained from HOMER ® . From environmental perspective, it is found that while 141,370.66 kg of CO 2 is saved in the base year, 183,206.51 kg of CO 2 is saved in the ninth year . The study concluded that the approach is computationally efficient and performed better than HOMER ® for this particular problem. The proposed approach could be adopted for carrying out feasibility studies and design of HRES for Off-Grid electrification, especially in the rural areas where access to the grid electricity is limited }, pages = {667--686} doi = {10.14710/ijred.2021.31316}, url = {https://ejournal.undip.ac.id/index.php/ijred/article/view/31316} }
Refworks Citation Data :
There is a need to develop an optimization tool that can be applied in the feasibility study of a hybrid renewable energy system to find the optimal capacity of different renewable energy resources and support the decision makers in their performance investigation. A multi-objective function which minimizes the Levelized Cost of Energy (LCOE) and Loss of Load Probability Index (LLPI) but maximizes the novel Energy Match Ratio (EMR) was formulated. Simulation-based optimization method combined with ε-constraint technique was developed to solve the multi-objective optimization problem. In the study, ten-year hourly electrical load demand, using the end-use model, is estimated for the communities. The performance of the developed algorithm was evaluated and validated using Hybrid Optimization Model for Electric Renewables (HOMER®) optimization software. The developed algorithm minimized the LCOE by 6.27% and LLPI by 167% when compared with the values of LCOE ($0.444/kWh) and LLPI (0.000880) obtained from the HOMER® optimization tool. Also, the LCOE with the proposed approach was calculated at $0.417/kWh, which is lower than the $0.444/kWh obtained from HOMER®. From environmental perspective, it is found that while 141,370.66 kg of CO2 is saved in the base year, 183,206.51 kg of CO2 is saved in the ninth year.The study concluded that the approach is computationally efficient and performed better than HOMER® for this particular problem.The proposed approach could be adopted for carrying out feasibility studies and design of HRES for Off-Grid electrification, especially in the rural areas where access to the grid electricity is limited
Article Metrics:
Last update:
HOMER optimization of standalone PV/Wind/Battery powered hydrogen refueling stations located at twenty selected French cities
Comprehensive Renewable Energy
Nanofluids-based solar collectors as sustainable energy technology towards net-zero goal: Recent advances, environmental impact, challenges, and perspectives
An Improvement in Power Quality and By-Product of the Run-Off River Micro Hydro Power Plant
Effects of Injection Strategies on Mixture Formation and Combustion in a Spark-Ignition Engine Fueled with Syngas-Biogas-Hydrogen
Energy-Related Material Flow Simulation in Production and Logistics
Nanotechnology-based biodiesel: A comprehensive review on production, and utilization in diesel engine as a substitute of diesel fuel
Analysis of grid/solar photovoltaic power generation for improved village energy supply: A case of Ikose in Oyo State Nigeria
Technical, Economic, and Intelligent Optimization for the Optimal Sizing of a Hybrid Renewable Energy System with a Multi Storage System on Remote Island in Tunisia
Techno-economic and environmental feasibility study with demand-side management of photovoltaic/wind/hydroelectricity/battery/diesel: A case study in Sub-Saharan Africa
Design of Hybrid (PV-Diesel) System for Tourist Island in Karimunjawa Indonesia
Nexus of Sustainability
An Economic and Environmental Study of a Hybrid System (Wind and Diesel) in the Algerian Desert Region using HOMER Software
Design and evaluation of a standalone electric vehicles charging station for a university campus in Argentina
Last update: 2024-11-25 09:07:31
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.