Optimization of an off-grid PV/biogas/battery hybrid energy system for electrification: A case study in a commercial platform in Morocco

Ennemiri, Naoufel; Berrada, Asmae; Emrani, Anisa; Abdelmajid, Jamil; El Mrabet, Rachid

doi:10.1016/j.ecmx.2023.100508

Cited by 9 publications

(4 citation statements)

References 45 publications

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“…A critical element within this setup is the bidirectional converter, which is responsible for regulating the flow of energy between the direct current (DC) and alternating current (AC) segments. The integration of these components helps mitigate the variability inherent in RES, thereby enhancing energy security and ensuring a continuous energy supply [59]. Subsequent sections introduce the mathematical models of each system component and discuss the modeling approaches used to optimize the energy management system.…”

Section: A Mathematical Representation Of a Hybrid Renewable Energy S...mentioning

confidence: 99%

Development of a Novel Hybrid Salp Swarm-Kepler Algorithm for Engineering Problems: Optimizing Microgrid Sizing with Integration of Photovoltaic, Wind, Battery, and Supercapacitor Systems

Güven

2024

Preprint

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Economic growth accelerates, leading to an increasingly important need for efficient resource use in engineering design due to the resulting supply and demand imbalance. This study introduces an integrated hybrid application of the Salp Swarm Algorithm (SSA) and the Kepler Optimization Algorithm (KOA) to optimize engineering design problems. The integration of SSA’s mathematical modeling of salp movement and leader-follower dynamics, along with KOA's optimization mechanisms based on Kepler’s laws, provides significant advancements in avoiding local optimum traps and achieving balance in the search space. The hybrid SSAKOA algorithm is capable of quickly reaching optimal or near-optimal solutions to optimization problems while efficiently working across parameters. Experimental results show that SSAKOA outperforms other algorithms in terms of optimum performance, solution stability, and applicability, effectively reducing resource wastage in engineering designs. The optimization capability of the SSAKOA has been verified for 23 different function problems, revealing that SSAKOA offers higher convergence speed, precision, and robustness than other algorithms. Moreover, this algorithm has yielded the most optimal results compared to 12 different algorithms in sizing a microgrid consisting of grid-connected batteries, supercapacitors, wind turbines, and photovoltaic panel components, which poses a significant engineering challenge. This study demonstrates the effectiveness of the proposed algorithm by applying it to a hybrid renewable energy system on a Turkish university campus. The application reveals an annual cost of $572,369.93 and an energy cost of $0.23996/kWh, achieving a renewable energy fraction of 78.54%. This indicates that the system not only offers a cost-effective alternative to Turkey's conventional grid rate of $0.35/kWh but also underscores the algorithm’s potential in enhancing the economic and environmental sustainability of renewable energy projects. Such findings lay a foundational framework for future advancements in renewable energy applications.

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Section: A Mathematical Representation Of a Hybrid Renewable Energy S...mentioning

confidence: 99%

Development of a Novel Hybrid Salp Swarm-Kepler Algorithm for Engineering Problems: Optimizing Microgrid Sizing with Integration of Photovoltaic, Wind, Battery, and Supercapacitor Systems

Güven

2024

Preprint

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“…Solar panels and wind turbines can be installed in remote areas that are difficult to reach with traditional power infrastructure, providing electricity to isolated communities and reducing their reliance on diesel generators. Renewable energy sources can also be more cost-effective in the long run, reducing energy costs and providing economic benefits to the local communities [13,14]. A challenge in this context is to optimize the distribution of energy from different sources to meet the islands' electricity demands while ensuring a stable and reliable energy supply.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of a Hybrid Solar–Battery–Diesel System: A Case Study of Galapagos Islands

Garces-Palacios,

Rodríguez-Gallegos,

Vaca-Urbano

et al. 2024

Solar

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In this study, the sizing problem of hybrid diesel–photovoltaic–battery systems was determined using a particle swarm optimization approach. The goal was to optimize the number of solar panels and batteries that could be installed to reduce the overall cost of an isolated grid system, originally powered by diesel generators, located on Isabela Island in the Galapagos, Ecuador. In this study, real solar radiation and temperature profiles were used, as well as the load demand and electrical distribution system relative to this island. The results reveal that the total cost for the proposed approach is lower as it reaches the global optimal solution. It also highlights the advantage of a hybrid diesel–photovoltaic–battery (DG-PV-BAT) system compared to conventional systems operated exclusively by diesel generators (DGs) and systems made up of DGs and PV panels; compared to them, a reduction in diesel consumption and total cost (71% and 56%, respectively) is achieved. The DG-PV-BAT system also considerably improves environmental factors and the quality of the power line. This study demonstrates the advantages of hybridizing systems isolated from the network through the proposed approach.

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“…Harnessing solar energy through photovoltaic (PV) systems, particularly in off-grid settings, presents a promising avenue to address the growing energy needs while minimizing environmental impact. [1][2][3][4][5] This transition introduces the pivotal role of solar energy and sets the stage for a detailed exploration of solar photovoltaic systems. Connecting the dots from the broader energy context, we delve into the intricacies of harnessing solar power through PV technology.…”

Section: Introductionmentioning

confidence: 99%

Analysis of a self-sufficient photovoltaic system for a remote, off-grid community

Aljuboury,

Al-Azzawi,

Shakier

et al. 2024

F1000Res

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Background The escalating global population, surpassing seven billion in 2012, amplifies the strain on existing resources for food, housing, and conventional energy. Addressing these challenges requires the development of economically and environmentally viable renewable energy technologies. Photovoltaic (PV) solar modules stand out for their eco-friendly operation and reliability. In off-grid communities, stand-alone PV systems, coupled with battery storage, play a pivotal role in meeting electrical energy needs. Methods This study enhances the understanding of stand-alone PV systems through modeling and simulation using MATLAB software. A multi-crystalline PV system, specifically the Kyocera KC130GT, is investigated under varying conditions, and a pulse width modulation (PWM) controller is employed for battery charging. Results The study reveals profound effects on energy production based on the I-V and P-V characteristics of the modeled system when a PWM controller is utilized. The system demonstrates successful energy generation under different conditions, accounting for temperature variations and PV battery voltage mismatches. Conclusion The simulated model serves as a versatile system capable of detecting different conditions in varying light and temperature scenarios. Effective temperature monitoring, voltage adjustment using a suitable charger controller, and the selection of optimal materials for solar modules can significantly enhance the system’s efficiency. The results emphasize the importance of careful consideration of PV system sizing corresponding to battery capacity for improved solar system efficiency. While the cost of the modeled stand-alone PV system is currently low, scalability to larger projects may incur increased costs due to the high prices of photovoltaic panels, batteries, and other components.

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Optimization of an off-grid PV/biogas/battery hybrid energy system for electrification: A case study in a commercial platform in Morocco

Cited by 9 publications

References 45 publications

Development of a Novel Hybrid Salp Swarm-Kepler Algorithm for Engineering Problems: Optimizing Microgrid Sizing with Integration of Photovoltaic, Wind, Battery, and Supercapacitor Systems

Development of a Novel Hybrid Salp Swarm-Kepler Algorithm for Engineering Problems: Optimizing Microgrid Sizing with Integration of Photovoltaic, Wind, Battery, and Supercapacitor Systems

Optimal Design of a Hybrid Solar–Battery–Diesel System: A Case Study of Galapagos Islands

Analysis of a self-sufficient photovoltaic system for a remote, off-grid community

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