Asian Journal of Medical and Biological Research, 2018
This study was undertaken to study the AI conception rate using frozen semen at field level. Five... more This study was undertaken to study the AI conception rate using frozen semen at field level. Five farms in Mymensingh, Bangladesh were selected for AI Trial in field ewes. Four rams were selected for semen collection, evaluation, and frozen semen production and further to study conception rate followed by intra-cervical AI in both natural and synchronized ewes. Conception rate were confirmed by non-returned rate and ultrasound scanning at 30-40 days of post insemination. The volume, colour, mass activity, sperm motility, viability, concentration, HOST +ve (%) and normal spermatozoa percentages were 0.8±0.3 ml, 3.9±0.3, 4.4±0.6, 81.3±5.0%, 90.0±4.0%, 3519.0±545.6x106/ml, 87.4±3.3% and 85.6±1.8%, respectively. The sperm concentration of ram R#6 was significantly higher (P<0.05) (4120.5±93.5x106/ml) compared with other rams. The mean motility and viability of pre-dilution, 120 minutes of addition of Part-A, 240 minutes of addition of Part-B and post-thaw were (83.8±4.8%, 81.3±2.5%, ...
Despite the vast potential of wind energy, it has yet to be implemented widely in Bangladesh. Sev... more Despite the vast potential of wind energy, it has yet to be implemented widely in Bangladesh. Several barriers play major roles in obstructing the wind energy sector’s development in Bangladesh. Hence, it is necessary to identify these barriers to progress this sector’s growth. The analytic hierarchy process (AHP) is a multi-criteria decision-making method that can rank alternatives by considering multiple factors. It is a valuable tool for complex decision-making problems with multiple criteria, and their relationships must be clarified. So, in this analysis, AHP is used to rank the barriers related to wind energy development in Bangladesh. First, six main barriers and eighteen sub-barriers have been identified from a detailed and comprehensive literature review. The main barriers are categorized into technical, administrative, policy and political, economic, social, and geographic. After that, a questionnaire was sent to experts to obtain their opinions on these barriers. Based on...
Abstract Smart Grid technology as a platform can encompass several advanced technological feature... more Abstract Smart Grid technology as a platform can encompass several advanced technological features across the spectrum of the power system. Effective Smart Grid system includes smart metering, robust communication infrastructure, deep integration of renewable energy sources, and distributed generation, among other important factors. The presented work in this paper highlights the required adaptation of the potential prime features of Smart Grid technology covering niftier equipment integration and internal cross-platform communication adaptable to the context of Bangladesh. This paper also focuses on the potential cost model for Smart Grid installation in Bangladesh based on the current scenario regarding the power sector. A study on India’s Smart Grid that simulates a quasi-similar circumstance helped better comprehend the essential steps required to implement Smart Grids in Bangladesh.
Energy generation from renewable sources is a global trend due to the carbon emissions generated ... more Energy generation from renewable sources is a global trend due to the carbon emissions generated by fossil fuels, which cause serious harm to the ecosystem. As per the long-term goals of the ASEAN countries, the Malaysian government established a target of 31% renewable energy generation by 2025 to facilitate ongoing carbon emission reductions. To reach the goal, a large-scale solar auction is one of the most impactful initiatives among the four potential strategies taken by the government. To assist the Malaysian government’s large-scale solar policy as detailed in the national renewable energy roadmap, this article investigated the techno-economic and feasibility aspects of a 10 MW floating solar PV system at UMP Lake. The PVsyst 7.3 software was used to develop and compute energy production and loss estimation. The plant is anticipated to produce 17,960 MWh of energy annually at a levelized cost of energy of USD 0.052/kWh. The facility requires USD 8.94 million in capital costs t...
Enhanced class E inverters (EFn or E/Fn) reduce the high peak switch voltage that is prevalent in... more Enhanced class E inverters (EFn or E/Fn) reduce the high peak switch voltage that is prevalent in class E inverters. Additionally, their stability and load regulation capabilities are improved as compared to class E inverters. This paper proposes an enhanced class E inverter (E/F3) with a piezoelectric transformer (PT) replacing the auxiliary resonant networks. This class E/F3 inverter is designed by adding a tuned auxiliary LC network at the third harmonic of the switching frequency to the class E inverter. Both the primary and auxiliary resonant networks are realized using a piezoelectric transformer (PT). The converter is simulated in LTspice and an experimental prototype is built and tested. It is found that the experimental results concur with the simulation results, with a measured efficiency of 90%. Thus, the theoretical design is verified and the concept of energy extraction is achieved.
The degradation of solar photovoltaic (PV) modules is caused by a number of factors that have an ... more The degradation of solar photovoltaic (PV) modules is caused by a number of factors that have an impact on their effectiveness, performance, and lifetime. One of the reasons contributing to the decline in solar PV performance is the aging issue. This study comprehensively examines the effects and difficulties associated with aging and degradation in solar PV applications. In light of this, this article examines and analyzes many aging factors, including temperature, humidity, dust, discoloration, cracks, and delamination. Additionally, the effects of aging factors on solar PV performance, including the lifetime, efficiency, material degradation, overheating, and mismatching, are critically investigated. Furthermore, the main drawbacks, issues, and challenges associated with solar PV aging are addressed to identify any unfulfilled research needs. Finally, this paper provides new directions for future research, best practices, and recommendations to overcome aging issues and achieve t...
2021 3rd International Conference on Sustainable Technologies for Industry 4.0 (STI)
The environmental influence and perpetual dwindling of fuel has become a great concern in the cur... more The environmental influence and perpetual dwindling of fuel has become a great concern in the current situation. Renewable energy can be a solution to this concern because of its earth-abundant quality and less pollution to the environment. In this paper, the main focus is to develop an optimized hybrid renewable energy system in a remote area of Bangladesh (Dacope, Khulna). The proposed hybrid system consists of an off-grid PV-Wind-Gas Generator. Normally, an off-grid system has high the levelized cost of energy (LCOE). In this research, we demonstrated a novel procedure for reduction of the LCOE by tracing additional load and Homer PRO simulation. In our primary simulation (without gas generator) the LCOE was 0.33 $/kWh. After adding the gas generator, the LCOE fell down to 0.103 $/kWh. The proposed method minimizes the LCOE significantly which is very promising compare to the other state of the results. We can use this method for grid connected system and smart grid system. The work uses HOMER PRO software for optimization and simulation. This paper can be a reference for achieving sustainability in the power sector of Bangladesh.
Replication Data for Remote Damage Detection of Power Plants using Deep Learning-based drone imag... more Replication Data for Remote Damage Detection of Power Plants using Deep Learning-based drone image analysis Thermal Solar, Large Solar, Small Solar, Wind turbine image dataset of drone inspection with damages annotated. Some of the images being collected from the following reference. Estefanía Alfaro-Mejía, Humberto Loaiza-Correa, Edinson Franco-Mejía, Andrés David Restrepo-Girón, Sandra Esperanza Nope-Rodríguez, Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels, Data in Brief, Volume 26, 2019, 104441, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2019.104441. S. Mehta, A. P. Azad, S. A. Chemmengath, V. Raykar, and S. Kalyanaraman, DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels," 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, NV, 2018, pp. 333-342. Shihavuddin, A.S.M., Chen, X., Fedorov, V., Nymark Christensen, A., ...
In vast Photovoltaic (PV) power plant the output power production decreases significantly due to ... more In vast Photovoltaic (PV) power plant the output power production decreases significantly due to the fact of non-uniform aging of PV modules. The non-uniform aging of PV modules increases current-voltage (I-V) mismatch among the array modules and causes mismatch power loss (MPL). There are different interconnection topologies of the PV module in an array to minimize MPL and thus maximize the array output power. This paper investigates four different interconnection topologies experimentally on a 4×4 nonuniformly aged PV array. Three different patterns of PV module rearrangement are used to investigate the performance of each interconnection topology in terms of array output power and MPL. The experimental results show that the proposed interconnection topology is yields about 3.28% (average) higher output power than that of the most commonly used series-parallel array topology. GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 6(1), Dec 2019 P 39-45
Asian Journal of Medical and Biological Research, 2018
This study was undertaken to study the AI conception rate using frozen semen at field level. Five... more This study was undertaken to study the AI conception rate using frozen semen at field level. Five farms in Mymensingh, Bangladesh were selected for AI Trial in field ewes. Four rams were selected for semen collection, evaluation, and frozen semen production and further to study conception rate followed by intra-cervical AI in both natural and synchronized ewes. Conception rate were confirmed by non-returned rate and ultrasound scanning at 30-40 days of post insemination. The volume, colour, mass activity, sperm motility, viability, concentration, HOST +ve (%) and normal spermatozoa percentages were 0.8±0.3 ml, 3.9±0.3, 4.4±0.6, 81.3±5.0%, 90.0±4.0%, 3519.0±545.6x106/ml, 87.4±3.3% and 85.6±1.8%, respectively. The sperm concentration of ram R#6 was significantly higher (P<0.05) (4120.5±93.5x106/ml) compared with other rams. The mean motility and viability of pre-dilution, 120 minutes of addition of Part-A, 240 minutes of addition of Part-B and post-thaw were (83.8±4.8%, 81.3±2.5%, ...
Despite the vast potential of wind energy, it has yet to be implemented widely in Bangladesh. Sev... more Despite the vast potential of wind energy, it has yet to be implemented widely in Bangladesh. Several barriers play major roles in obstructing the wind energy sector’s development in Bangladesh. Hence, it is necessary to identify these barriers to progress this sector’s growth. The analytic hierarchy process (AHP) is a multi-criteria decision-making method that can rank alternatives by considering multiple factors. It is a valuable tool for complex decision-making problems with multiple criteria, and their relationships must be clarified. So, in this analysis, AHP is used to rank the barriers related to wind energy development in Bangladesh. First, six main barriers and eighteen sub-barriers have been identified from a detailed and comprehensive literature review. The main barriers are categorized into technical, administrative, policy and political, economic, social, and geographic. After that, a questionnaire was sent to experts to obtain their opinions on these barriers. Based on...
Abstract Smart Grid technology as a platform can encompass several advanced technological feature... more Abstract Smart Grid technology as a platform can encompass several advanced technological features across the spectrum of the power system. Effective Smart Grid system includes smart metering, robust communication infrastructure, deep integration of renewable energy sources, and distributed generation, among other important factors. The presented work in this paper highlights the required adaptation of the potential prime features of Smart Grid technology covering niftier equipment integration and internal cross-platform communication adaptable to the context of Bangladesh. This paper also focuses on the potential cost model for Smart Grid installation in Bangladesh based on the current scenario regarding the power sector. A study on India’s Smart Grid that simulates a quasi-similar circumstance helped better comprehend the essential steps required to implement Smart Grids in Bangladesh.
Energy generation from renewable sources is a global trend due to the carbon emissions generated ... more Energy generation from renewable sources is a global trend due to the carbon emissions generated by fossil fuels, which cause serious harm to the ecosystem. As per the long-term goals of the ASEAN countries, the Malaysian government established a target of 31% renewable energy generation by 2025 to facilitate ongoing carbon emission reductions. To reach the goal, a large-scale solar auction is one of the most impactful initiatives among the four potential strategies taken by the government. To assist the Malaysian government’s large-scale solar policy as detailed in the national renewable energy roadmap, this article investigated the techno-economic and feasibility aspects of a 10 MW floating solar PV system at UMP Lake. The PVsyst 7.3 software was used to develop and compute energy production and loss estimation. The plant is anticipated to produce 17,960 MWh of energy annually at a levelized cost of energy of USD 0.052/kWh. The facility requires USD 8.94 million in capital costs t...
Enhanced class E inverters (EFn or E/Fn) reduce the high peak switch voltage that is prevalent in... more Enhanced class E inverters (EFn or E/Fn) reduce the high peak switch voltage that is prevalent in class E inverters. Additionally, their stability and load regulation capabilities are improved as compared to class E inverters. This paper proposes an enhanced class E inverter (E/F3) with a piezoelectric transformer (PT) replacing the auxiliary resonant networks. This class E/F3 inverter is designed by adding a tuned auxiliary LC network at the third harmonic of the switching frequency to the class E inverter. Both the primary and auxiliary resonant networks are realized using a piezoelectric transformer (PT). The converter is simulated in LTspice and an experimental prototype is built and tested. It is found that the experimental results concur with the simulation results, with a measured efficiency of 90%. Thus, the theoretical design is verified and the concept of energy extraction is achieved.
The degradation of solar photovoltaic (PV) modules is caused by a number of factors that have an ... more The degradation of solar photovoltaic (PV) modules is caused by a number of factors that have an impact on their effectiveness, performance, and lifetime. One of the reasons contributing to the decline in solar PV performance is the aging issue. This study comprehensively examines the effects and difficulties associated with aging and degradation in solar PV applications. In light of this, this article examines and analyzes many aging factors, including temperature, humidity, dust, discoloration, cracks, and delamination. Additionally, the effects of aging factors on solar PV performance, including the lifetime, efficiency, material degradation, overheating, and mismatching, are critically investigated. Furthermore, the main drawbacks, issues, and challenges associated with solar PV aging are addressed to identify any unfulfilled research needs. Finally, this paper provides new directions for future research, best practices, and recommendations to overcome aging issues and achieve t...
2021 3rd International Conference on Sustainable Technologies for Industry 4.0 (STI)
The environmental influence and perpetual dwindling of fuel has become a great concern in the cur... more The environmental influence and perpetual dwindling of fuel has become a great concern in the current situation. Renewable energy can be a solution to this concern because of its earth-abundant quality and less pollution to the environment. In this paper, the main focus is to develop an optimized hybrid renewable energy system in a remote area of Bangladesh (Dacope, Khulna). The proposed hybrid system consists of an off-grid PV-Wind-Gas Generator. Normally, an off-grid system has high the levelized cost of energy (LCOE). In this research, we demonstrated a novel procedure for reduction of the LCOE by tracing additional load and Homer PRO simulation. In our primary simulation (without gas generator) the LCOE was 0.33 $/kWh. After adding the gas generator, the LCOE fell down to 0.103 $/kWh. The proposed method minimizes the LCOE significantly which is very promising compare to the other state of the results. We can use this method for grid connected system and smart grid system. The work uses HOMER PRO software for optimization and simulation. This paper can be a reference for achieving sustainability in the power sector of Bangladesh.
Replication Data for Remote Damage Detection of Power Plants using Deep Learning-based drone imag... more Replication Data for Remote Damage Detection of Power Plants using Deep Learning-based drone image analysis Thermal Solar, Large Solar, Small Solar, Wind turbine image dataset of drone inspection with damages annotated. Some of the images being collected from the following reference. Estefanía Alfaro-Mejía, Humberto Loaiza-Correa, Edinson Franco-Mejía, Andrés David Restrepo-Girón, Sandra Esperanza Nope-Rodríguez, Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels, Data in Brief, Volume 26, 2019, 104441, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2019.104441. S. Mehta, A. P. Azad, S. A. Chemmengath, V. Raykar, and S. Kalyanaraman, DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels," 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, NV, 2018, pp. 333-342. Shihavuddin, A.S.M., Chen, X., Fedorov, V., Nymark Christensen, A., ...
In vast Photovoltaic (PV) power plant the output power production decreases significantly due to ... more In vast Photovoltaic (PV) power plant the output power production decreases significantly due to the fact of non-uniform aging of PV modules. The non-uniform aging of PV modules increases current-voltage (I-V) mismatch among the array modules and causes mismatch power loss (MPL). There are different interconnection topologies of the PV module in an array to minimize MPL and thus maximize the array output power. This paper investigates four different interconnection topologies experimentally on a 4×4 nonuniformly aged PV array. Three different patterns of PV module rearrangement are used to investigate the performance of each interconnection topology in terms of array output power and MPL. The experimental results show that the proposed interconnection topology is yields about 3.28% (average) higher output power than that of the most commonly used series-parallel array topology. GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 6(1), Dec 2019 P 39-45
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