Browsing by Author "Kabir, M.A."

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    Design & Business Modelling of An Innovative Energy Storage Unit combined with Supercapacitor & Capacitor Bank for MagLev Piezoelectric Wind Turbine
    (Institute of Electrical and Electronics Engineers Inc., 2023-12-18) Khan, M.S.A.; Chew, K; Kabir, M.A.; Islam, M.J.; Aziz, A.; Vaithilingam, C.A.; Khatun, S.; Chua, K.H.; Kamal, A.
    This research provides a thorough description of the original research on developing, evaluating, and putting into practice an energy harvesting system that operates under ambient settings using a Charging bank combined of Supercapacitor, Capacitor and batteries adopted to piezoelectric transducer integrated Vertical Axis Wing Turbine. This research intends to investigate alternate energy-generating techniques in order to satisfy the rising need for power sources brought on by the quick development of electronic gadgets. The actual results of this study definitely show that using a capacitor bank significantly increases the output of piezoelectric transducers, leading to a noticeably more effective supercapacitor bank charging process.
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    Design and Business Modelling of an IoT Based Cost-Efficient Solar Data Logger with Cellular Monitoring Interface for Decentralized Renewables
    (Institute of Electrical and Electronics Engineers Inc., 2024-12-16) Khan, M.S.A.; Alam, M.K.; Howlader, M.M.; Aziz, A.; Kabir, M.A.; Khatun, S.; Romli, M.I.F.
    This paper introduces a cost-effective IoT-based 'Solar Data Logger' designed for real-time monitoring of energy storage within solar power systems. The prototype's performance is rigorously assessed, comparing both technical capabilities and cost-effectiveness against established technologies. Leveraging IoT technology, the system securely stores data in a cloud-based infrastructure while also providing a user-friendly mobile application interface for control and monitoring. Moreover, this research showcases the system's relevance in the emerging field of decentralized renewable energy generation, particularly in Building to Grid (B2G) management. Additionally, the paper offers a comprehensive business model that includes a detailed estimate of expenses for commercializing the prototype, encompassing research and development (R&D) and pilot deployment. Finally, the paper acknowledges its limitations and suggests avenues for future research and development.
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    Feasibility study of floating solar photovoltaic systems using techno-economic assessment and multi-criteria decision-making method: A case study of Bangladesh
    (Elsevier Ltd, 2024-11-30) Sunny, M.R.,,, ,; Kabir, M.A.; Sarker, M.S.Z.; Aghaloo, K.; Ali, T.
    Many developing countries with abundant solar resources and rich history of agriculture, face overpopulation and land shortage issues. Floating solar photovoltaics (FSPVs) do not compete with agriculture for land and offer higher energy potential than land-based photovoltaics (LBPVs). For feasibility and site suitability evaluation of FSPVs, this study proposes an integrated approach of techno-economic assessment (TEA) and multi-criteria decision making (MCDM), based on a case study of Bangladesh. The system advisor model (SAM) was used to conduct TEA, evaluating the potential of nine FSPV sites on a regional scale using ten criteria. Combined compromise solution (CoCoSo) was implemented to determine the optimum site. Bergobindopur lake was ranked top, with the highest energy yield and lowest cost of energy of 1564 kWh/kW and $0.055/kWh respectively. Case study of Bergobindopur revealed buy-all-sell-all electricity tariff was more profitable than net billing and net metering. Energy generation was found to be influenced by tilt angle and soiling. Sensitivity analyses demonstrated the superiority of FSPVs over LBPVs for varying electricity prices, degradation and discount rates, project durations, and investor's equities. Longer project durations and lower equities resulted in higher profits for investors. The proposed approach contributes to the expansion of FSPV in land-constrained areas. © 2024 Elsevier Ltd