Optimal Sizing of an Off-Grid Hybrid Renewable Energy System: A Case Study in Tunisia Abstract: Hybrid systems are becoming increasingly attractive due to their operational flexibility
Optimal Sizing of an Off-Grid Hybrid Renewable Energy System: A Case Study in Tunisia Abstract: Hybrid systems are becoming increasingly attractive due to their operational flexibility
This paper proposes an optimum sizing methodology to optimize the configuration of a hybrid energy system (HES) based on Genetic Algorithm (GA). The proposed methodology considers
This paper proposes an optimum sizing methodology to optimize the configuration of a hybrid energy system (HES) based on Genetic Algorithm (GA). The proposed methodology considers
Why Sizing Your Off Grid Solar System Matters. Sizing your off-grid solar system correctly is crucial because it directly affects your energy independence and system efficiency. If you underestimate your needs, you
This study explores the techno-economic feasibility of, both off-grid and on-grid, hybrid renewable energy systems for remote rural electrification in Thala City, located in the highest region of Tunisia, using wind and biomass
Designing an off grid power system requires careful consideration of your energy needs, and sizing the inverter is a crucial step in this process. The inverter converts DC power from your battery bank into AC
This study explores the techno-economic feasibility of, both off-grid and on-grid, hybrid renewable energy systems for remote rural electrification in Thala City, located in the
Electric grid In Thala, Tunisia, the cost of purchasing electricity from the grid is measured in euros per kilowatt-hour (€/kWh). For households with a monthly consumption ranging from 300 to 500 kWh, the cost per unit of electricity is approximately 0.063 US$. This price reflects the tariff structure set by the local utility or energy provider.
Similarly, the BG/Batteries/Grid/Converter configuration demonstrated a 25.5% reduction, translating to 1000.80 tons/year. These reductions signify the substantial positive influence of integrating renewable resources and batteries, paving the way for a more sustainable and eco-friendly energy landscape in Thala.
In fact, the economic sizing of the PV system is found based on different economic parameters such as the NPV, cost of energy (COE), payback period and finally electricity bills saving. To do this, Hybrid Optimization of Multiple Energy Resources (HOMER) software has been used.
However, authors in Cui et al. ( 2019) have developed a techno-economic evaluation methodology for a grid-connected PV system, taking into account the use of economic parameters such as the NPV, the maintenance cost, the system life cycle cost, using the Risk Management Software, without considering the sizing optimization criteria.
Due to the excessive use of photovoltaic (PV) systems as a grid connected or standalone micro-grid, and high installation cost of these systems, it is recommended and required to properly size them.
A swarm intelligence approach is used in Ciabattoni et al. ( 2016) to find the optimal sizing of grid-connected PV micro-grid (MG) components. This approach is based on maximizing the NPV to ameliorate the profitability of the system using the artificial Bee Colonies (ABC) algorithm.
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