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Dr. Md. Shahariar Chowdhury
Faculty of Environmental Management, Prince of Songkla University, HatYa-90110, Songkhla, Thailand

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0 Renewable Energy
0 Perovskite solar cells
0 Semiconductor materials
0 Thin-film
0 Solar PV recycling

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Renewable Energy
Perovskite solar cells

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Journal article
Published: 13 August 2021 in Sustainability
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A novel direct reactive power control strategy based on the three-level inverter topology (DRPC-3N) is proposed for a doubly fed induction generator (DFIG)-based wind power plant system. The robustness against parametric variations and control performances of the presented methodology are analyzed under random wind speeds, taking into account the effect of the heating of the windings as well as the saturation of the magnetic circuit. The performance indices include obtaining a sinusoidal AC-generated current with low THD and less ripples in the output. Moreover, the generator can be considered as a reactive power compensator, which allows for the controlling of the active and reactive power of the stator side connected directly to the grid side using only the rotor converter. In this study, unpredictable conduct of the wind velocity that forces the DFIG to operate through all modes of operation in a continual and successive way is considered. The received wind power is utilized to extract the optimum power by using an appropriate MPPT algorithm, and the pitch angle control is activated during the overspeed to restrict the produced active power. The simulation tests are performed under Matlab/Simulink and the presented results show the robustness and effectiveness of the new DRPC strategy with the proposed topology, which means that the performances are more sophisticated.

ACS Style

Salah Tamalouzt; Youcef Belkhier; Younes Sahri; Mohit Bajaj; Nasim Ullah; Shahariar Chowdhury; Teerawet Titseesang; Kuaanan Techato. Enhanced Direct Reactive Power Control-Based Multi-Level Inverter for DFIG Wind System under Variable Speeds. Sustainability 2021, 13, 9060 .

AMA Style

Salah Tamalouzt, Youcef Belkhier, Younes Sahri, Mohit Bajaj, Nasim Ullah, Shahariar Chowdhury, Teerawet Titseesang, Kuaanan Techato. Enhanced Direct Reactive Power Control-Based Multi-Level Inverter for DFIG Wind System under Variable Speeds. Sustainability. 2021; 13 (16):9060.

Chicago/Turabian Style

Salah Tamalouzt; Youcef Belkhier; Younes Sahri; Mohit Bajaj; Nasim Ullah; Shahariar Chowdhury; Teerawet Titseesang; Kuaanan Techato. 2021. "Enhanced Direct Reactive Power Control-Based Multi-Level Inverter for DFIG Wind System under Variable Speeds." Sustainability 13, no. 16: 9060.

Journal article
Published: 19 May 2021 in Separations
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In this paper, the green synthesis of reduced graphene oxide (r-GO) nanomaterials using Callistemon viminalis leaf extract as a reducing and stabilizing agent is reported for the first time. The synthesized r-GO nanomaterials were characterized using UV–Vis, XRD, FE-SEM, TEM, and energy dispersive X-ray (EDX) analyses. The nanofilter membrane was prepared by varying the amounts of r-GO nanomaterials in a Polysulfone-N,N-dimethyl formamide (DMF) solution. The nanofilter membrane was characterized by the contact angle, atomic force microscopy (AFM), UV–Vis, and FTIR. The results confirm the formation of r-GO nanomaterials. Higher amounts of r-GO nanomaterials in the membrane show a lower contact angle, thus confirming their hydrophilic nature. Iron water filtration was performed with different amounts of r-GO nanomaterials in the membrane filter, and the water flux was smooth over an increased time period. Inductively Coupled Plasma (ICP) analysis showed a higher percentage of iron rejection (95.77%) when higher amounts (0.10 g) of r-GO nanomaterials were used in a mixed membrane (i.e., sample C). In conclusion, the findings illustrate that Callistemon viminalis mediates the synthesis of r-GO nanomaterials, which is useful in water filtration, and can be incorporated into membrane filters, since it removes iron.

ACS Style

Pankaj Jha; Watsa Khongnakorn; Chamorn Chawenjkigwanich; Shahariar Chowdhury; Kuaanan Techato. Eco-Friendly Reduced Graphene Oxide Nanofilter Preparation and Application for Iron Removal. Separations 2021, 8, 68 .

AMA Style

Pankaj Jha, Watsa Khongnakorn, Chamorn Chawenjkigwanich, Shahariar Chowdhury, Kuaanan Techato. Eco-Friendly Reduced Graphene Oxide Nanofilter Preparation and Application for Iron Removal. Separations. 2021; 8 (5):68.

Chicago/Turabian Style

Pankaj Jha; Watsa Khongnakorn; Chamorn Chawenjkigwanich; Shahariar Chowdhury; Kuaanan Techato. 2021. "Eco-Friendly Reduced Graphene Oxide Nanofilter Preparation and Application for Iron Removal." Separations 8, no. 5: 68.

Journal article
Published: 27 April 2021 in Actuators
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Higher efficiency, predictability, and high-power density are the main advantages of a permanent magnet synchronous generator (PMSG)-based hydro turbine. However, the control of a PMSG is a nontrivial issue, because of its time-varying parameters and nonlinear dynamics. This paper suggests a novel optimal fuzzy supervisor passivity-based high order sliding-mode controller to address problems faced by conventional techniques such as PI controls in the machine side. An inherent advantage of the proposed method is that the nonlinear terms are not canceled but compensated in a damped way. The proposed controller consists of two main parts: the fuzzy gain supervisor-PI controller to design the desired dynamic of the system by controlling the rotor speed, and the fuzzy gain-high order sliding-mode control to compute the controller law. The main objectives are feeding the electrical grid with active power, extracting the maximum tidal power, and regulating the reactive power and DC voltage toward their references, whatever the disturbances caused by the PMSG. The main contribution and novelty of the present work consists in the new robust fuzzy supervisory passivity-based high order sliding-mode controller, which treats the mechanical characteristics of the PMSG as a passive disturbance when designing the controller and compensates it. By doing so, the PMSG tracks the optimal speed, contrary to other controls which only take into account the electrical part. The combined high order sliding-mode controller (HSMC) and passivity-based control (PBC) resulted in a hybrid controller law which attempts to greatly enhance the robustness of the proposed approach regardless of various uncertainties. Moreover, the proposed controller was also validated using a processor in the loop (PIL) experiment using Texas Instruments (TI) Launchpad. The control strategy was tested under parameter variations and its performances were compared to the nonlinear control methods. High robustness and high efficiency were clearly illustrated by the proposed new strategy over compared methods under parameter uncertainties using MATLAB/Simulink and a PIL testing platform.

ACS Style

Youcef Belkhier; Abdelyazid Achour; Rabindra Shaw; Nasim Ullah; Shahariar Chowdhury; Kuaanan Techato. Fuzzy Supervisory Passivity-Based High Order-Sliding Mode Control Approach for Tidal Turbine-Based Permanent Magnet Synchronous Generator Conversion System. Actuators 2021, 10, 92 .

AMA Style

Youcef Belkhier, Abdelyazid Achour, Rabindra Shaw, Nasim Ullah, Shahariar Chowdhury, Kuaanan Techato. Fuzzy Supervisory Passivity-Based High Order-Sliding Mode Control Approach for Tidal Turbine-Based Permanent Magnet Synchronous Generator Conversion System. Actuators. 2021; 10 (5):92.

Chicago/Turabian Style

Youcef Belkhier; Abdelyazid Achour; Rabindra Shaw; Nasim Ullah; Shahariar Chowdhury; Kuaanan Techato. 2021. "Fuzzy Supervisory Passivity-Based High Order-Sliding Mode Control Approach for Tidal Turbine-Based Permanent Magnet Synchronous Generator Conversion System." Actuators 10, no. 5: 92.

Journal article
Published: 21 April 2021 in Sustainability
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With the rising demand for food products and the direct impact of climate change on food production in many parts of the world, recent years have seen growing interest in the subject of food security and the role of rainfed farming in this area. Machine learning methods can be used to predict crop yield based on a combination of remote sensing data and data collected by ground weather stations. This paper argues that forecasting drylands farming yield can be reliable for management purpose under uncertain conditions using machine learning methods and remote sensing data and determines which indicators are most important in predicting the yield of chickpea. In this study, the yield of rainfed chickpea farms in 11 top chickpea producing counties in Kermanshah province, Iran, was predicted using three machine learning methods, namely support vector regression (SVR), random forest (RF), and K-nearest neighbors (KNN). To improve prediction accuracy, for each county, remote sensing data were overlaid by the satellite images of rainfed farms with a suitable slope and altitude for rainfed farming. An integrated database was created by combining weather data, remote sensing data, and chickpea yield statistics. The methods were evaluated using the leave-one-out cross-validation (LOOCV) technique and compared in terms of multiple measures. Given the sensitivity of rainfed chickpea yield to the time of data, the predictions were made in two scenarios: (1) using the averages of the data of all growing months, and (2) using the data of a combination of months. The results showed that RF provides more accurate yield predictions than other methods. The predictions of this method were 7–8% different from the statistics reported by the Statistical Center and the Ministry of Agriculture of Iran. It was found that for pre-harvest prediction of rainfed chickpea yield, using the data of the March–April period (the averages of two months) offers the best result in terms of the correlation coefficient for the relationship between the yield and the predictor indices.

ACS Style

Shahram Rezapour; Erfan Jooyandeh; Mohsen Ramezanzade; Ali Mostafaeipour; Mehdi Jahangiri; Alibek Issakhov; Shahariar Chowdhury; Kuaanan Techato. Forecasting Rainfed Agricultural Production in Arid and Semi-Arid Lands Using Learning Machine Methods: A Case Study. Sustainability 2021, 13, 4607 .

AMA Style

Shahram Rezapour, Erfan Jooyandeh, Mohsen Ramezanzade, Ali Mostafaeipour, Mehdi Jahangiri, Alibek Issakhov, Shahariar Chowdhury, Kuaanan Techato. Forecasting Rainfed Agricultural Production in Arid and Semi-Arid Lands Using Learning Machine Methods: A Case Study. Sustainability. 2021; 13 (9):4607.

Chicago/Turabian Style

Shahram Rezapour; Erfan Jooyandeh; Mohsen Ramezanzade; Ali Mostafaeipour; Mehdi Jahangiri; Alibek Issakhov; Shahariar Chowdhury; Kuaanan Techato. 2021. "Forecasting Rainfed Agricultural Production in Arid and Semi-Arid Lands Using Learning Machine Methods: A Case Study." Sustainability 13, no. 9: 4607.

Paper
Published: 19 April 2021 in RSC Advances
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Organic–inorganic perovskite solar cells (PSCs) have recently emerged as a potential candidate for large-scale and low-cost photovoltaic devices.

ACS Style

M. S. Chowdhury; Kazi Sajedur Rahman; Vidhya Selvanathan; A. K. Mahmud Hasan; M. S. Jamal; Nurul Asma Samsudin; Akhtaruzzaman; Nowshad Amin; Kuaanan Techato. Recovery of FTO coated glass substrate via environment-friendly facile recycling perovskite solar cells. RSC Advances 2021, 11, 14534 -14541.

AMA Style

M. S. Chowdhury, Kazi Sajedur Rahman, Vidhya Selvanathan, A. K. Mahmud Hasan, M. S. Jamal, Nurul Asma Samsudin, Akhtaruzzaman, Nowshad Amin, Kuaanan Techato. Recovery of FTO coated glass substrate via environment-friendly facile recycling perovskite solar cells. RSC Advances. 2021; 11 (24):14534-14541.

Chicago/Turabian Style

M. S. Chowdhury; Kazi Sajedur Rahman; Vidhya Selvanathan; A. K. Mahmud Hasan; M. S. Jamal; Nurul Asma Samsudin; Akhtaruzzaman; Nowshad Amin; Kuaanan Techato. 2021. "Recovery of FTO coated glass substrate via environment-friendly facile recycling perovskite solar cells." RSC Advances 11, no. 24: 14534-14541.

Journal article
Published: 19 April 2021 in Sustainability
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Observing the growing energy demand of modern societies, many countries have recognized energy security as a looming problem and renewable energies as a solution to this issue. Renewable hydrogen production is an excellent method for the storage and transfer of energy generated by intermittent renewable sources such as wind and solar so that they can be used at a place and time of our choosing. In this study, the suitability of 15 cities in Fars province, Iran, for renewable hydrogen production was investigated and compared by the use of multiple multi-criteria decision-making methods including ARAS, SAW, CODAS, and TOPSIS. The obtained rankings were aggregated by rank averaging, Borda method, and Copeland method. Finally, the partially ordered set ranking technique was used to reach a general consensus about the ranking. The criteria that affect hydrogen production were found to be solar energy potential, wind energy potential, population, air temperature, natural disasters, altitude, relative humidity, land cost, skilled labor, infrastructure, topographic condition, and distance from main roads. These criteria were weighted using the best–worst method (BWM) based on the data collected by a questionnaire. Solar energy potential was estimated using the Angstrom model. Wind energy potential was estimated by using the Weibull distribution function for each month independently. The results of the multi-criteria decision-making methods showed Izadkhast to be the most suitable location for renewable hydrogen production in the studied area.

ACS Style

Khalid Almutairi; Ali Mostafaeipour; Ehsan Jahanshahi; Erfan Jooyandeh; Youcef Himri; Mehdi Jahangiri; Alibek Issakhov; Shahariar Chowdhury; Seyyed Hosseini Dehshiri; Seyyed Hosseini Dehshiri; Kuaanan Techato. Ranking Locations for Hydrogen Production Using Hybrid Wind-Solar: A Case Study. Sustainability 2021, 13, 4524 .

AMA Style

Khalid Almutairi, Ali Mostafaeipour, Ehsan Jahanshahi, Erfan Jooyandeh, Youcef Himri, Mehdi Jahangiri, Alibek Issakhov, Shahariar Chowdhury, Seyyed Hosseini Dehshiri, Seyyed Hosseini Dehshiri, Kuaanan Techato. Ranking Locations for Hydrogen Production Using Hybrid Wind-Solar: A Case Study. Sustainability. 2021; 13 (8):4524.

Chicago/Turabian Style

Khalid Almutairi; Ali Mostafaeipour; Ehsan Jahanshahi; Erfan Jooyandeh; Youcef Himri; Mehdi Jahangiri; Alibek Issakhov; Shahariar Chowdhury; Seyyed Hosseini Dehshiri; Seyyed Hosseini Dehshiri; Kuaanan Techato. 2021. "Ranking Locations for Hydrogen Production Using Hybrid Wind-Solar: A Case Study." Sustainability 13, no. 8: 4524.

Journal article
Published: 19 April 2021 in Mathematics
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This research work is focused on the nonlinear modeling and control of a hydrostatic thrust bearing. In the proposed work, a mathematical model is formulated for a hydrostatic thrust bearing system that includes the effects of uncertainties, unmodelled dynamics, and nonlinearities. Depending on the type of inputs, the mathematical model is divided into three subsystems. Each subsystem has the same output, i.e., fluid film thickness with different types of input, i.e., viscosity, supply pressure, and recess pressure. An extended state observer is proposed to estimate the unavailable states. A backstepping control technique is presented to achieve the desired tracking performance and stabilize the closed-loop dynamics. The proposed control technique is based on the Lyapunov stability theorem. Moreover, particle swarm optimization is used to search for the best tuning parameters for the backstepping controller and extended state observer. The effectiveness of the proposed method is verified using numerical simulations.

ACS Style

Waheed Rehman; Wakeel Khan; Nasim Ullah; M. Chowdhury; Kuaanan Techato; Muhammad Haneef. Nonlinear Control of Hydrostatic Thrust Bearing Using Multivariable Optimization. Mathematics 2021, 9, 903 .

AMA Style

Waheed Rehman, Wakeel Khan, Nasim Ullah, M. Chowdhury, Kuaanan Techato, Muhammad Haneef. Nonlinear Control of Hydrostatic Thrust Bearing Using Multivariable Optimization. Mathematics. 2021; 9 (8):903.

Chicago/Turabian Style

Waheed Rehman; Wakeel Khan; Nasim Ullah; M. Chowdhury; Kuaanan Techato; Muhammad Haneef. 2021. "Nonlinear Control of Hydrostatic Thrust Bearing Using Multivariable Optimization." Mathematics 9, no. 8: 903.

Journal article
Published: 18 April 2021 in Sustainability
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The rapid rise in the number of fossil fuel uses over the last few decades has increased carbon dioxide (CO2) emissions. The purpose of implementing renewable energy solutions, such as solar, hydro, wind, biomass, and other renewable energy sources, is to mitigate global climate change worldwide. Solar energy has received more attention over the last few decades as an alternative source of energy, and it can play an essential role in the future of the energy industry. This is especially true of energy solutions that reduce land use, such as off-grid and on-grid solar rooftop technologies. This study aims to evaluate the energy conversion efficiency of photovoltaic (PV) systems in tropical environments. It also explores the effect of growing plants beneath PV panels. Two identical grid-connected PV systems—each containing five solar panels—were installed. The overall power production of each PV system was about 1.4 kWp. All the collected data were processed and analysed in the same way and by the same method. The PV systems were installed in two different environments—one with the possibility of growing the plants beneath the PV panels (PViGR module) and one with no possibility of growing the plants beneath the PV panels (PViSR module). The experiments were conducted in the Bo Yang District of Songkhla, Thailand over a 12-month period. Our findings indicate that green roof photovoltaic (GRPV) systems can produce around 2100 kWh of electricity in comparison to the 2000 kWh produced by other solar energy systems. Thereby, growing plants beneath PV panels increases electricity production efficiency by around 2%. This difference comes from the growing of plants underneath GRPV systems. Plants do not only help to trap humidity underneath GRPV systems but also help to cool the PV panels by absorbing the temperature beneath GRPV systems. Thus, in the production of electrical energy; the system was clearly showing significant differences in the mentioned results of both PV solar systems, which are evident for great energy efficiency performances in the future.

ACS Style

Chila Kaewpraek; Liaqat Ali; Arefin Rahman; Mohammad Shakeri; M. Chowdhury; M. Jamal; Shahin Mia; Jagadeesh Pasupuleti; Le Dong; Kuaanan Techato. The Effect of Plants on the Energy Output of Green Roof Photovoltaic Systems in Tropical Climates. Sustainability 2021, 13, 4505 .

AMA Style

Chila Kaewpraek, Liaqat Ali, Arefin Rahman, Mohammad Shakeri, M. Chowdhury, M. Jamal, Shahin Mia, Jagadeesh Pasupuleti, Le Dong, Kuaanan Techato. The Effect of Plants on the Energy Output of Green Roof Photovoltaic Systems in Tropical Climates. Sustainability. 2021; 13 (8):4505.

Chicago/Turabian Style

Chila Kaewpraek; Liaqat Ali; Arefin Rahman; Mohammad Shakeri; M. Chowdhury; M. Jamal; Shahin Mia; Jagadeesh Pasupuleti; Le Dong; Kuaanan Techato. 2021. "The Effect of Plants on the Energy Output of Green Roof Photovoltaic Systems in Tropical Climates." Sustainability 13, no. 8: 4505.

Journal article
Published: 31 March 2021 in Sensors
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Recently, formation flying of multiple unmanned aerial vehicles (UAVs) found numerous applications in various areas such as surveillance, industrial automation and disaster management. The accuracy and reliability for performing group tasks by multiple UAVs is highly dependent on the applied control strategy. The formation and trajectories of multiple UAVs are governed by two separate controllers, namely formation and trajectory tracking controllers respectively. In presence of environmental effects, disturbances due to wind and parametric uncertainties, the controller design process is a challenging task. This article proposes a robust adaptive formation and trajectory tacking control of multiple quad-rotor UAVs using super twisting sliding mode control method. In the proposed design, Lyapunov function-based adaptive disturbance estimators are used to compensate for the effects of external disturbances and parametric uncertainties. The stability of the proposed controllers is guaranteed using Lyapunov theorems. Two variants of the control schemes, namely fixed gain super twisting SMC (STSMC) and adaptive super twisting SMC (ASTSMC) are tested using numerical simulations performed in MATLAB/Simulink. From the results presented, it is verified that in presence of disturbances, the proposed ASTSMC controller exhibits enhanced robustness as compared to the fixed gain STSMC.

ACS Style

Yasir Mehmood; Jawad Aslam; Nasim Ullah; Shahariar Chowdhury; Kuaanan Techato; Ali Alzaed. Adaptive Robust Trajectory Tracking Control of Multiple Quad-Rotor UAVs with Parametric Uncertainties and Disturbances. Sensors 2021, 21, 2401 .

AMA Style

Yasir Mehmood, Jawad Aslam, Nasim Ullah, Shahariar Chowdhury, Kuaanan Techato, Ali Alzaed. Adaptive Robust Trajectory Tracking Control of Multiple Quad-Rotor UAVs with Parametric Uncertainties and Disturbances. Sensors. 2021; 21 (7):2401.

Chicago/Turabian Style

Yasir Mehmood; Jawad Aslam; Nasim Ullah; Shahariar Chowdhury; Kuaanan Techato; Ali Alzaed. 2021. "Adaptive Robust Trajectory Tracking Control of Multiple Quad-Rotor UAVs with Parametric Uncertainties and Disturbances." Sensors 21, no. 7: 2401.

Journal article
Published: 27 March 2021 in Sustainability
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A permanent magnet synchronous generator (PMSG) in s grid-connected tidal energy conversion system presents numerous advantages such as high-power density and ease of maintenance. However, the nonlinear properties of the generator and parametric uncertainties make the controller design more than a simple challenge. Within this paper we present a new combined passivity-based voltage control (PBVC) with a nonlinear observer. The PBVC is used to design the desired dynamics of the system, while the nonlinear observer serves to reconstruct the measured signals. A high order sliding-mode based fuzzy supervisory approach is selected to design the desired dynamics. This paper addresses the following two main parts: controlling the PMSG to guarantee the maximum tidal power extraction and integrate into to the grid-side converter (GSC), for this the new controller is proposed. The second task is to regulate the generated reactive power and the DC-link voltage to their references under any disturbances related to the machine-side converter (MSC). Furthermore, the robustness of the controller against parameter changes was taken into consideration. The developed controller is tested under parameter variations and compared to benchmark nonlinear control methods. Numerical simulations are performed in MATLAB/Simulink which clearly demonstrates the robustness of the proposed technique over the compared control methods. Moreover, the proposed controller is also validated using a processor in the loop (PIL) experiment using Texas Instruments (TI) Launchpad.

ACS Style

Youcef Belkhier; Abdelyazid Achour; Rabindra Shaw; Nasim Ullah; Shahariar Chowdhury; Kuaanan Techato. Energy-Based Combined Nonlinear Observer and Voltage Controller for a PMSG Using Fuzzy Supervisor High Order Sliding Mode in a Marine Current Power System. Sustainability 2021, 13, 3737 .

AMA Style

Youcef Belkhier, Abdelyazid Achour, Rabindra Shaw, Nasim Ullah, Shahariar Chowdhury, Kuaanan Techato. Energy-Based Combined Nonlinear Observer and Voltage Controller for a PMSG Using Fuzzy Supervisor High Order Sliding Mode in a Marine Current Power System. Sustainability. 2021; 13 (7):3737.

Chicago/Turabian Style

Youcef Belkhier; Abdelyazid Achour; Rabindra Shaw; Nasim Ullah; Shahariar Chowdhury; Kuaanan Techato. 2021. "Energy-Based Combined Nonlinear Observer and Voltage Controller for a PMSG Using Fuzzy Supervisor High Order Sliding Mode in a Marine Current Power System." Sustainability 13, no. 7: 3737.

Journal article
Published: 05 November 2020 in Sustainability
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Smart-grid rooftop solar electricity (SG rooftop PV) is an alternative sustainable energy resource. This research was conducted in the Central Highlands of Vietnam (CHV) in light of the different levels of retail electricity pricing, the sunshine duration, and the implementation of a feed-in-tariff system, in order to calculate the financial indicators (FIs) of SG rooftop PV, which would supply investors, companies supplying SG rooftop PV, and policymakers with useful information. The FI values were calculated based on the net present value, the payback period, and the internal return rate. The results show that the electricity retail price level affects the FI of SG rooftop PV. SG rooftop PV is installed to satisfy higher electricity consumption levels, which attracts a higher retail electricity price. As a result of the greater benefits, especially if SG rooftop PV is installed and the highest level of electricity (exceeds 400 kWh) is used to satisfy domestic consumption, users will recoup their investment in only four years and after that will enjoy free electricity. All the FI values derived from this research show that people in the CHV can derive benefits from installing SG rooftop PV.

ACS Style

Tran Lan; Sopin Jirakiattikul; M. Chowdhury; Dilawer Ali; Le Niem; Kuaanan Techato. The Effect of Retail Electricity Price Levels on the FI Values of Smart-Grid Rooftop Solar Power Systems: A Case Study in the Central Highlands of Vietnam. Sustainability 2020, 12, 9209 .

AMA Style

Tran Lan, Sopin Jirakiattikul, M. Chowdhury, Dilawer Ali, Le Niem, Kuaanan Techato. The Effect of Retail Electricity Price Levels on the FI Values of Smart-Grid Rooftop Solar Power Systems: A Case Study in the Central Highlands of Vietnam. Sustainability. 2020; 12 (21):9209.

Chicago/Turabian Style

Tran Lan; Sopin Jirakiattikul; M. Chowdhury; Dilawer Ali; Le Niem; Kuaanan Techato. 2020. "The Effect of Retail Electricity Price Levels on the FI Values of Smart-Grid Rooftop Solar Power Systems: A Case Study in the Central Highlands of Vietnam." Sustainability 12, no. 21: 9209.

Journal article
Published: 01 November 2020 in Energy Reports
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This paper proposes fractional and integer order sliding mode controllers (SMC) for the high voltage (HV) bridge control in a bidirectional dual active (DAB) converter. The proposed controllers are derived based on nonlinear model of DAB converter and the closed loop stability is ensured using integer and fractional order Lyapunov theorems. Fractional order controllers offer more degree of freedom to adjust the desired response of the system, however the implementation issues of such controllers are rarely explored. Both variants of control schemes are implemented on a DSP control card, and hardware-in-the-loop (HIL) and processor-in-the-loop (PIL) experiments are conducted using rapid control prototyping technique. In order to choose the most suitable robust controller, experimental data for the two performance indices namely robustness and computational resources utilization is compared for both integer and fractional order control schemes. The experimental results demonstrate that the integer order SMC utilizes reduced computational resources as compared to the fractional order SMC. Moreover it is further verified that integer order SMC exhibits comparable robustness as fractional order SMC under all test conditions.

ACS Style

Nasim Ullah; Zaheer Farooq; Taimur Zaman; Irfan Sami; Asier Ibeas; Kuaanan Techato; Shahariar Chowdhury; S.M. Muyeen. A computationally efficient robust voltage control for a single phase dual active bridge. Energy Reports 2020, 6, 3346 -3356.

AMA Style

Nasim Ullah, Zaheer Farooq, Taimur Zaman, Irfan Sami, Asier Ibeas, Kuaanan Techato, Shahariar Chowdhury, S.M. Muyeen. A computationally efficient robust voltage control for a single phase dual active bridge. Energy Reports. 2020; 6 ():3346-3356.

Chicago/Turabian Style

Nasim Ullah; Zaheer Farooq; Taimur Zaman; Irfan Sami; Asier Ibeas; Kuaanan Techato; Shahariar Chowdhury; S.M. Muyeen. 2020. "A computationally efficient robust voltage control for a single phase dual active bridge." Energy Reports 6, no. : 3346-3356.

Journal article
Published: 23 September 2020 in Sustainability
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Farmers across the world have long used chemical fertilizers to achieve higher production outputs. One of the basic inputs for the production of nitrogen fertilizer is fossil fuel, which is not only finite but also has tangible impacts on the environment. This study aims to determine the most suitable renewable energy resource (RER) for the production of fertilizer in Iranian farmlands. The resources considered in this study were photovoltaic energy, biomass energy, wind energy, and solar thermal energy. This assessment was carried out in terms of six general criteria derived from a PESTEL (Political, Economic, Socio-cultural, Technological, Environmental and Legal) analysis, and thus 20 sub-criteria were obtained with the help of experts. The criteria were weighted using the Fuzzy AHP (Analytic Hierarchy Process) method. Because of the use of criteria with crisp, fuzzy, and interval-type values, the ranking was performed using the extended TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) method. A sensitivity analysis was performed to determine the effects of the sub-criteria on the results. The results showed that the technological criterion is the most important measure for this assessment, and that photovoltaic energy and wind energy are the top two options for powering chemical fertilizer production in Iranian farmlands.

ACS Style

Ali Mostafaeipour; Ali Sadeghi Sedeh; Shahariar Chowdhury; Kuaanan Techato. Ranking Potential Renewable Energy Systems to Power On-Farm Fertilizer Production. Sustainability 2020, 12, 7850 .

AMA Style

Ali Mostafaeipour, Ali Sadeghi Sedeh, Shahariar Chowdhury, Kuaanan Techato. Ranking Potential Renewable Energy Systems to Power On-Farm Fertilizer Production. Sustainability. 2020; 12 (19):7850.

Chicago/Turabian Style

Ali Mostafaeipour; Ali Sadeghi Sedeh; Shahariar Chowdhury; Kuaanan Techato. 2020. "Ranking Potential Renewable Energy Systems to Power On-Farm Fertilizer Production." Sustainability 12, no. 19: 7850.

Preprint content
Published: 06 July 2020
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Background: There are many constraints on the use of fossil fuels and, many countries have, therefore, conducted research relating to alternative energy resources to replace conventional fuels. On 31 January 2019, the Vietnamese Ministry of Finance enacted a preferential policy relating to the installation of under-50kWp rooftop solar projects. The Central Highlands of Vietnam has a high potential for solar power generation due to the duration of sunshine it enjoys, and the development of both rooftops solar and solar farms is appropriate for the region. The study reported investigated the economic efficiency of smart-grid rooftop solar electricity systems (SG rooftop PV) in the Central Highlands of Vietnam in light of the different levels of retail electricity pricing in Vietnam and the implementation of a feed-in-tariff system. The research reported in this paper will be useful for many groups of stakeholders, including electricity consumers who intend to install rooftop solar panels on their houses, companies who supply SG rooftop PV, and policymakers, who can use the findings relating to SG rooftop PV to adjust the retail price of electricity during different periods.Method: Financial indicators were calculated based on the net present value, payback period, internal rate of return, and the number of hours of sunshine in the Central Highlands of VietnamResult: The study’s results show that the electricity price level affects the economic efficiency of SG rooftop PV. In particular, SG rooftop PV installed to satisfy higher levels of electricity consumption, which attract a higher retail electricity price, result in greater benefits, especially when domestic electricity consumption exceeds 400 kWh, at which level the retail electricity price is at the highest level. In this case, people who install SG rooftop PV and use all the electricity to satisfy domestic consumption will recoup their investment in only 4 years and thereafter will enjoy free electricity. Conclusion: All the financial indicators derived from this research show that people in the Central Highlands of Vietnam can derive benefit from installing SG rooftop PV, whether they sell all the electricity output to the grid or use the power output to satisfy their domestic demand.

ACS Style

Tran Thi Lan; Sopin Jirakiattikul; Niem Duc Le; M. S. Chowdhury; Dilawer Ali; Kuaanan Techato. The Effect of Retail Electricity Price Levels on the Financial Indicators of Smart-Grid Rooftop Solar Power Systems: A Case Study in the Central Highlands of Vietnam. 2020 .

AMA Style

Tran Thi Lan, Sopin Jirakiattikul, Niem Duc Le, M. S. Chowdhury, Dilawer Ali, Kuaanan Techato. The Effect of Retail Electricity Price Levels on the Financial Indicators of Smart-Grid Rooftop Solar Power Systems: A Case Study in the Central Highlands of Vietnam. . 2020; ():.

Chicago/Turabian Style

Tran Thi Lan; Sopin Jirakiattikul; Niem Duc Le; M. S. Chowdhury; Dilawer Ali; Kuaanan Techato. 2020. "The Effect of Retail Electricity Price Levels on the Financial Indicators of Smart-Grid Rooftop Solar Power Systems: A Case Study in the Central Highlands of Vietnam." , no. : .

Review article
Published: 27 December 2019 in Energy Strategy Reviews
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End-of-life (EOL) solar panels may become a source of hazardous waste although there are enormous benefits globally from the growth in solar power generation. Global installed PV capacity reached around 400 GW at the end of 2017 and is expected to rise further to 4500 GW by 2050. Considering an average panel lifetime of 25 years, the worldwide solar PV waste is anticipated to reach between 4%-14% of total generation capacity by 2030 and rise to over 80% (around 78 million tonnes) by 2050. Therefore, the disposal of PV panels will become a pertinent environmental issue in the next decades. Eventually, there will be great scopes to carefully investigate on the disposal and recycling of PV panels EOL. The EU has pioneered PV electronic waste regulations including PV-specific collection, recovery and recycling targets. The EU Waste of Electrical and Electronic Equipment (WEEE) Directive entails all producers supplying PV panels to the EU market to finance the costs of collecting and recycling EOL PV panels in Europe. Lessons can be learned from the involvement of the EU in forming its regulatory framework to assist other countries develop locally apposite approaches. This review focused on the current status of solar panel waste recycling, recycling technology, environmental protection, waste management, recycling policies and the economic aspects of recycling. It also provided recommendations for future improvements in technology and policy making. At present, PV recycling management in many countries envisages to extend the duties of the manufacturers of PV materials to encompass their eventual disposal or reuse. However, further improvements in the economic viability, practicality, high recovery rate and environmental performance of the PV industry with respect to recycling its products are indispensable.

ACS Style

Shahariar Chowdhury; Kazi Sajedur Rahman; Tanjia Chowdhury; Narissara Nuthammachot; Kuaanan Techato; Akhtaruzzaman; Sieh Kiong Tiong; Kamaruzzaman Sopian; Nowshad Amin. An overview of solar photovoltaic panels’ end-of-life material recycling. Energy Strategy Reviews 2019, 27, 100431 .

AMA Style

Shahariar Chowdhury, Kazi Sajedur Rahman, Tanjia Chowdhury, Narissara Nuthammachot, Kuaanan Techato, Akhtaruzzaman, Sieh Kiong Tiong, Kamaruzzaman Sopian, Nowshad Amin. An overview of solar photovoltaic panels’ end-of-life material recycling. Energy Strategy Reviews. 2019; 27 ():100431.

Chicago/Turabian Style

Shahariar Chowdhury; Kazi Sajedur Rahman; Tanjia Chowdhury; Narissara Nuthammachot; Kuaanan Techato; Akhtaruzzaman; Sieh Kiong Tiong; Kamaruzzaman Sopian; Nowshad Amin. 2019. "An overview of solar photovoltaic panels’ end-of-life material recycling." Energy Strategy Reviews 27, no. : 100431.