LAPSE:2023.0645v1
Published Article

LAPSE:2023.0645v1
Hybrid Diesel/PV Multi-Megawatt Plant Seasonal Behavioral Model to Analyze Microgrid Effectiveness: Case Study of a Mining Site Electrification
February 20, 2023
Abstract
Mining sites that combine energy-intensive operations with community living in areas remote from the electricity grid are increasingly developing dedicated micro-grids. Fossil oil gensets hybridization with renewable energy resources has gained momentum. Difficulties in assessing performance are experienced by operators who wish to benefit from improved performances. The designers of such systems also need additional knowledge to anticipate the solutions of the particular problems related to the power plant’s implementation area characteristics. The proposed approach gives more suitable tools on the effectiveness evaluation of hybridized microgrid, combining a Heavy Fuel Oil (HFO) thermal power station with photovoltaic generator powering mine activities in the Sahelian area. The authors provide key analyses and improvement factors by seasonal behavioral modelling (SBM) of the fuel consumption of the gensets related to the overall irradiance dynamics of the PV array. Several years of data analysis results have been integrated for sharper considerations on the transient interactions impact of the PV/Diesel Hybrid Power Plant operation. The results of simulations carried out using the proposed new models, including the case of an extended system with storage unit, have been used to evaluate the levelized cost of energy, and to discuss competitiveness. This very relevant approach provides additional knowledge for designers and energetic effectiveness analysts.
Mining sites that combine energy-intensive operations with community living in areas remote from the electricity grid are increasingly developing dedicated micro-grids. Fossil oil gensets hybridization with renewable energy resources has gained momentum. Difficulties in assessing performance are experienced by operators who wish to benefit from improved performances. The designers of such systems also need additional knowledge to anticipate the solutions of the particular problems related to the power plant’s implementation area characteristics. The proposed approach gives more suitable tools on the effectiveness evaluation of hybridized microgrid, combining a Heavy Fuel Oil (HFO) thermal power station with photovoltaic generator powering mine activities in the Sahelian area. The authors provide key analyses and improvement factors by seasonal behavioral modelling (SBM) of the fuel consumption of the gensets related to the overall irradiance dynamics of the PV array. Several years of data analysis results have been integrated for sharper considerations on the transient interactions impact of the PV/Diesel Hybrid Power Plant operation. The results of simulations carried out using the proposed new models, including the case of an extended system with storage unit, have been used to evaluate the levelized cost of energy, and to discuss competitiveness. This very relevant approach provides additional knowledge for designers and energetic effectiveness analysts.
Record ID
Keywords
behavior models, hybrid micro grid, performance index, photovoltaic/diesel plant, power transients management
Subject
Suggested Citation
Moussa Kadri S, Dakyo B, Camara MB, Coulibaly Y. Hybrid Diesel/PV Multi-Megawatt Plant Seasonal Behavioral Model to Analyze Microgrid Effectiveness: Case Study of a Mining Site Electrification. (2023). LAPSE:2023.0645v1
Author Affiliations
Moussa Kadri S: Renewable Energy and Energy Efficiency Laboratory, Institute 2iE, Rue de Science, Ouagadougou 01 BP 594, Burkina Faso
Dakyo B: GREAH—Laboratory, University of Le Havre, Normandie 25 Rue Philippe Lebon, 76058 Le Havre, France [ORCID]
Camara MB: GREAH—Laboratory, University of Le Havre, Normandie 25 Rue Philippe Lebon, 76058 Le Havre, France [ORCID]
Coulibaly Y: Renewable Energy and Energy Efficiency Laboratory, Institute 2iE, Rue de Science, Ouagadougou 01 BP 594, Burkina Faso
Dakyo B: GREAH—Laboratory, University of Le Havre, Normandie 25 Rue Philippe Lebon, 76058 Le Havre, France [ORCID]
Camara MB: GREAH—Laboratory, University of Le Havre, Normandie 25 Rue Philippe Lebon, 76058 Le Havre, France [ORCID]
Coulibaly Y: Renewable Energy and Energy Efficiency Laboratory, Institute 2iE, Rue de Science, Ouagadougou 01 BP 594, Burkina Faso
Journal Name
Processes
Volume
10
Issue
11
First Page
2164
Year
2022
Publication Date
2022-10-22
ISSN
2227-9717
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Original Submission
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PII: pr10112164, Publication Type: Journal Article
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LAPSE:2023.0645v1
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https://doi.org/10.3390/pr10112164
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Feb 20, 2023
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