Using Energy Conservation-Based Demand-Side Management to Optimize an Off-Grid Integrated Renewable Energy System Using Different Battery Technologies

Kumar, Polamarasetty P.; Rahman, Akhlaqur; Nuvvula, Ramakrishna S. S.; Çolak, İlhami; Khalid, Haris M.; Shezan, Sk. A.; Shafiullah, GM; Ishraque, Md. Fatin; Ma, Hossain; Alsaif, Faisal; Elavarasan, Rajvikram Madurai

doi:10.3390/su151310137

Cited by 12 publications

(3 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hybrid electric systems provide the advantage of producing power according to load demand. Most hybrid systems operate off-grid [9] . Most hybrid systems deliver power through batteries and diesel generators if both the solar and wind systems are not able to produce power [10] .…”

Section: Renewable Energy Prospects Of Bangladeshmentioning

confidence: 99%

Design and implementation of an off-grid hybrid microgrid for Chittagong and Faridpur

Rayhan,

Bhuiyan,

Shezan

et al. 2023

Therm. Sci. Eng.

View full text Add to dashboard Cite

The challenge of rural electrification has become more challenging today than ever before. Grid-connected and off-grid microgrid systems are playing a very important role in this problem. Examining each component’s ideal size, facility system reactions, and other microgrid analyses, this paper proposes the design and implementation of an off-grid hybrid microgrid in Chittagong and Faridpur with various load dispatch strategies. The hybrid microgrids with a load of 23.31 kW and the following five dispatch algorithms have been optimized: (i) load following, (ii) HOMER predictive, (iii) combined dispatch, (iv) generator order, and (v) cycle charging dispatch approach. The proposed microgrids have been optimized to reduce the net present cost, CO2 emission, and levelized cost of energy. All five dispatch strategies for the two microgrids have been analyzed in HOMER Pro. Power system reactions and feasibility analyses of microgrids have been performed using ETAP simulation software. For both the considered locations, the results propound that load following is the outperforming approach having the lowest energy cost of $0.1728/kWh, operational cost of $2944.13, present cost of $127,528.10, and CO2 emission of 2746 kg/year for the Chittagong microgrid and lowest energy cost of $0.2030/kWh, operating cost of $3530.34, present cost of 149,287.30, and CO2 emission of 3256 kg/year for Faridpur microgrid with a steady reaction of the power system.

show abstract

Section: Renewable Energy Prospects Of Bangladeshmentioning

confidence: 99%

Design and implementation of an off-grid hybrid microgrid for Chittagong and Faridpur

Rayhan,

Bhuiyan,

Shezan

et al. 2023

Therm. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…Furthermore, as suggested, Figure 1, "Benefits of DC, AC, and hybrid DC-AC coupled configurations of stand-alone PV systems," has been relocated to the Methods section to ensure a streamlined presentation of our study. [14][15][16] The primary objective of this study is to model, simulate, and evaluate stand-alone photovoltaic (PV) systems, specifically focusing on PV islanding scenarios. By employing advanced simulation techniques and modeling tools, our aim is to enhance the understanding of system dynamics and operational efficiency under varying conditions.…”

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

View full text Add to dashboard Cite

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.

show abstract

“…Among these energy sources, PV technologies have emerged as the most promising due to their remarkable advantages [3]. PV systems offer energy efficiency, reliability, and environmental sustainability, making them an ideal choice for sustainable power generation [4]. By utilizing the abundant energy available from sunlight, PV technologies pave the way for a cleaner and greener future.…”

Section: Introductionmentioning

confidence: 99%

A Survey of CNN-Based Approaches for Crack Detection in Solar PV Modules: Current Trends and Future Directions

Hassan,

Dhimish

2023

Solar

View full text Add to dashboard Cite

Detection of cracks in solar photovoltaic (PV) modules is crucial for optimal performance and long-term reliability. The development of convolutional neural networks (CNNs) has significantly improved crack detection, offering improved accuracy and efficiency over traditional methods. This paper presents a comprehensive review and comparative analysis of CNN-based approaches for crack detection in solar PV modules. The review discusses various CNN architectures, including custom-designed networks and pre-trained models, as well as data-augmentation techniques and ensemble learning methods. Additionally, challenges related to limited dataset sizes, generalizability across different solar panels, interpretability of CNN models, and real-time detection are discussed. The review also identifies opportunities for future research, such as the need for larger and more diverse datasets, model interpretability, and optimized computational speed. Overall, this paper serves as a valuable resource for researchers and practitioners interested in using CNNs for crack detection in solar PV modules.

show abstract

Using Energy Conservation-Based Demand-Side Management to Optimize an Off-Grid Integrated Renewable Energy System Using Different Battery Technologies

Cited by 12 publications

References 33 publications

Design and implementation of an off-grid hybrid microgrid for Chittagong and Faridpur

Design and implementation of an off-grid hybrid microgrid for Chittagong and Faridpur

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

A Survey of CNN-Based Approaches for Crack Detection in Solar PV Modules: Current Trends and Future Directions

Contact Info

Product

Resources

About