Article
Computer Science, Information Systems
Pradyumna Mallick, Renu Sharma, Priya Ranjan Satpathy, Sudhakar Babu Thanikanti, Nnamdi I. Nwulu
Summary: The solar photovoltaic (PV) power system is vulnerable to partial shading, resulting in power losses, hotspot, system performance reduction, and module damage. This paper presents a Dimension-Independent Array Relocation (DIAR) approach for asymmetrical arrays to enhance power output during partial shading scenarios. The DIAR approach is simple, cost-effective, and ensures lower power losses and higher reliability.
Article
Optics
Priya Ranjan Satpathy, Belqasem Aljafari, Sudhakar Babu Thanikanti
Summary: Partial shading among solar photovoltaic (PV) modules leads to a reduction in power generation. This paper proposes a new module electrical reconfiguration technique to mitigate the effect of partial shading and enhance power output. The technique is a fixed electrical reconnection strategy based on a proposed algorithm and does not require sensors or switches.
Article
Energy & Fuels
Gautam Raina, Siddharth Mathur, Sunanda Sinha
Summary: This study presents a comparative analysis of the performance of bifacial and monofacial photovoltaic systems under partial shading scenarios. The results show that bifacial technology consistently outperforms conventional monofacial technology in these conditions.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Review
Thermodynamics
Khaled Osmani, Ahmad Haddad, Hadi Jaber, Thierry Lemenand, Bruno Castanier, Mohamad Ramadan
Summary: This paper explores different PhotoVoltaic (PV) array Reconfiguration (PVR) methods to mitigate the negative impacts of Partial Shading Conditions (PSCs). Three main categories of PVR techniques are physical, electrical, and physical-electrical combination, with each method critically compared based on various performance indices. The study suggests that a Total Cross Tied (TCT) configured PV panels, physically relocated by a Static Shade Dispersion Physical Array Relocation (SD-PAR) algorithm, and controlled by a Modified Harris Hawks Optimizer (MHHO) algorithm, could effectively mitigate PSCs' effects.
THERMAL SCIENCE AND ENGINEERING PROGRESS
(2022)
Article
Thermodynamics
Priya Ranjan Satpathy, Belqasem Aljafari, Sudhakar Babu Thanikanti, Renu Sharma
Summary: "This research proposes a method called black widow reconfiguration (BWR) to mitigate the effects of partial shading in photovoltaic arrays. The BWR method effectively reduces the current difference between rows of the array and reconnects the modules to ensure reduced mismatch and higher power output during partial shading. Experimental and simulation results show that compared to conventional methods, the BWR method significantly improves the power output of photovoltaic arrays."
Article
Green & Sustainable Science & Technology
Vinod Kumar Yadav, Abhishek Yadav, Ranjana Yadav, Aaradhya Mittal, Nadeem Hussain Wazir, Shubham Gupta, Rupendra Kumar Pachauri, Santosh Ghosh
Summary: The article introduces a novel technique to reduce the hot spot temperature of PV cells under partial shading conditions by automatically reconfiguring the PV array. Evaluation through simulation of eight shading scenarios shows an 82% increase in reliability index.
Article
Thermodynamics
Kanasottu Anil Naik, Rayappa David Amar Raj, Chepuri Venkateswara Rao, Thanikanti Sudhakar Babu
Summary: This paper proposes novel PV array configurations based on image processing strategies to optimize the array output under partial shading conditions. The proposed strategies are tested in laboratory and outdoor environments and compared with existing strategies.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Review
Energy & Fuels
Faiza Belhachat, Cherif Larbes
Summary: This study provides a comprehensive review of PV array reconfiguration techniques used to overcome the issue of partial shading. Different approaches are evaluated and compared based on their techniques, advantages, and drawbacks.
Article
Green & Sustainable Science & Technology
Bo Yang, Ruining Shao, Mengting Zhang, Haoyin Ye, Bingqiang Liu, Tongyu Bao, Junting Wang, Hongchun Shu, Yaxing Ren, Hua Ye
Summary: This study proposes a novel socio-inspired photovoltaic reconfiguration approach called Democratic Political Algorithm (DPA) to minimize the negative impacts of partial shading on photovoltaic arrays and improve power generation efficiency. Simulation results demonstrate the effectiveness of DPA in enhancing the output power of photovoltaic arrays compared to other algorithms.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Energy & Fuels
Belqasem Aljafari, Priya Ranjan Satpathy, Siva Rama Krishna Madeti, Pradeep Vishnuram, Sudhakar Babu Thanikanti
Summary: Partial shading has a negative impact on photovoltaic systems, decreasing the power generation and causing unexpected power losses. This paper proposes a two-step module replacement approach to efficiently reduce the losses caused by partial shading and compares its performance with other configuration methods.
Article
Thermodynamics
Vinod Kumar Yadav, Anwesh Devratna Behera, Ranjeet Singh, Anubhav Maheshwari, Santosh Ghosh, Abhijeet Prakash
Summary: Partial shading severely affects the performance and reliability of solar power systems. This article introduces a novel reconfiguration technique inspired by the circular array data structure, which shows great potential in mitigating the impact of partial shading and maximizing overall power generation across a wider range of shading conditions. Simulations and experimental studies validate the effectiveness of the proposed technique, and comparative analysis demonstrates its superiority over existing methods.
Article
Energy & Fuels
S. Sugumar, D. Prince Winston, M. Pravin
Summary: This study proposes a novel partial shading detection technique using the voltage difference (Vd) to estimate the severity of partial shading in a solar PV array. By reducing Vd through static reconfiguration and modified couple matching (MCM) technique, the mitigation of partial shading losses is ensured. This method can be practically applied even in standalone PV systems.
Article
Energy & Fuels
Vinaya Chandrakant Chavan, Suresh Mikkili, Tomonobu Senjyu
Summary: Partial shade condition is a significant factor affecting the performance of PV panels. This study proposes a new shade dispersing method (NSD) that rearranges the PV panels to distribute the shade and improve performance. Simulation and hardware experiments validate the effectiveness of the NSD method.
Article
Multidisciplinary Sciences
Muhammad Zeeshan, Naeem Ul Islam, Faiz Faizullah, Ihsan Ullah Khalil, Jaebyung Park
Summary: The massive need for electrical energy has raised concerns about energy demand forecast for the coming years. Solar power plants have gained popularity but face challenges in power dissipation due to frequent shade, leading to a significant increase in solar electricity price. This research proposes a novel row index mathematical procedure and a unique number filling technique in the reconfiguration matrix indexes to mitigate power output losses during partial shading conditions. The proposed approach shows promising results with approximately 68% power loss reduction compared to existing reconfiguration techniques.
Article
Thermodynamics
Belqasem Aljafari, Priya Ranjan Satpathy, Sudhakar Babu Thanikanti
Summary: The susceptibility of PV arrays to partial shading poses a reliability concern, necessitating the development of a highly reliable, less complex, and fast array reconfiguration method to reduce shading losses.
Article
Energy & Fuels
Varinrumpai Seithtanabutara, Chatuphong Sungnat, Tanakorn Wongwuttanasatian
Summary: Using dual-frequency sonication for esterification can increase the conversion of FFAs, shorten the reaction time, reduce energy consumption, and improve the efficiency of biodiesel production.
BIOMASS CONVERSION AND BIOREFINERY
(2021)
Review
Green & Sustainable Science & Technology
Karthikeyan Velmurugan, Sunilkumar Kumarasamy, Tanakorn Wongwuttanasatian, Varinrumpai Seithtanabutara
Summary: PCM-based cooling systems have been popular for reducing PV module temperature and improving performance, but they face challenges such as PCM melting temperature loss. The study found that different climates require different PCM systems for optimal performance, emphasizing the importance of adapting systems to specific locations and climatic conditions.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Rittichai Liemthong, Chitchai Srithapon, Prasanta K. Ghosh, Rongrit Chatthaworn
Summary: This paper presents a home energy management strategy based on meta-heuristic optimization, aiming to minimize the electrical energy cost for consumers. By optimizing the operations of plug-in electric vehicles and energy storage systems using a genetic algorithm, the proposed strategy is able to significantly reduce the daily electrical energy cost for consumers, as validated through simulations.
Article
Green & Sustainable Science & Technology
Dhinesh Balasubramanian, Tanakorn Wongwuttanasatian, Inbanaathan Papla Venugopal, Amudhan Rajarajan
Summary: This study aims to replace conventional fuel usage in diesel engines by incorporating a mixture of waste cooking oil biodiesel and low viscous Pimpinella anisum oil. Low viscous Pimpinella anisum oil was prepared using steam distillation method and blended with waste cooking oil biodiesel at different ratios. The experimental results showed that the mixture of diesel and low viscous Pimpinella anisum oil exhibited better heat release rate, cylinder pressure, and reduced emissions.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Computer Science, Interdisciplinary Applications
Sarunyoo Boriratrit, Chitchai Srithapon, Pradit Fuangfoo, Rongrit Chatthaworn
Summary: Electric energy demand forecasting is crucial for electric utilities to ensure sufficient and reliable supply for consumers. This study proposes a method that combines metaheuristic optimization with ELM to improve accuracy and reduce overfitting in forecasting models. Experimental results show that the JS-ELM model provides the lowest root mean square error with an appropriate processing time.
Article
Energy & Fuels
Chakkri Satchathampitak, Rongrit Chatthaworn, Amnart Suksri
Summary: This research evaluates the effect of paralleling overhead ground wires (OHGW) made of twisted galvanized steel cable on the surge impedance of transmission towers. The results show that by paralleling multiple conductors, the surge impedance of the transmission tower can be reduced, leading to lower voltage and back flashover phenomena.
Article
Energy & Fuels
S. Homlakorn, A. Suksri, T. Wongwuttanasatian
Summary: Passive cooling is a method to address the issue of increased temperature during operation of solar photovoltaic (PV) modules. Attaching a container filled with organic eutectic phase change material (PCM) to the back surface of the PV module can effectively reduce its temperature and enhance its performance.
Article
Energy & Fuels
Wunvisa Tipasri, Amnart Suksri, Karthikeyan Velmurugan, Tanakorn Wongwuttanasatian
Summary: A study on an efficient chilled water tank design was conducted to reduce peak electricity consumption for air conditioning systems. By utilizing energy storage systems effectively, significant savings in electricity consumption and cost can be achieved.
Article
Materials Science, Multidisciplinary
Natrayan Lakshmaiya, Seeniappan Kaliappan, Pravin P. Patil, Velmurugan Ganesan, Joshuva Arockia Dhanraj, Chattariya Sirisamphanwong, Tanakorn Wongwuttanasatian, Shahariar Chowdhury, Sittiporn Channumsin, Manun Channumsin, Kuaanan Techato
Summary: This research investigates the impact of oil palm shell filler materials on the interlaminar shear and dynamic properties of flax fiber-reinforced hybrid composites under cryogenic circumstances. The findings suggest that adding 4% OPS nanofiller improves the storage and loss modulus of the composites.
Article
Energy & Fuels
Sarun Sirijuncheun, Varinrumpai Seithtanabutara, Kitirote Wantala, Tanakorn Wongwuttanasatian
Summary: Potassium impregnation enhances the thermal decomposition and reactions of biomass. This study investigated the addition of potassium carbonate (K2CO3) to sugarcane bagasse (SCB) and found that it significantly affects the cellulose structure and thermal decomposition temperature of SCB. The optimal conditions for K2CO3 pretreatment were determined using response surface methodology (RSM), resulting in improved torrefaction of SCB for biomass power plant applications.
BIOMASS CONVERSION AND BIOREFINERY
(2023)
Article
Energy & Fuels
Kanjanapon Borisoot, Rittichai Liemthong, Chitchai Srithapon, Rongrit Chatthaworn
Summary: This paper proposes an optimal energy management method using the Virtual Power Plant (VPP) concept to address the challenges posed by the uncertainties of Renewable Energy (RE) and Electric Vehicle (EV) charged demand. The Differential Evolution (DE) algorithm is applied to minimize the operation cost and degradation costs of generators and Energy Storage Systems (ESS). The simulation results demonstrate the effectiveness of the proposed approach in avoiding branch constraint violations and reducing total costs by 7.06% compared to the initial case.
Article
Energy & Fuels
Niphon Kaewdornhan, Chitchai Srithapon, Rittichai Liemthong, Rongrit Chatthaworn
Summary: This paper proposes a real-time multi-home energy management system that utilizes multi-agent deep reinforcement learning optimization to schedule EV charging, aiming to reduce the electricity expense of prosumers. Simulation results show that it can significantly reduce mean power consumption and decrease costs for prosumers while generating higher revenue for the aggregator.
Article
Energy & Fuels
Siripat Somchit, Palamy Thongbouasy, Chitchai Srithapon, Rongrit Chatthaworn
Summary: This paper proposes an optimal planning method for transmission expansion considering uncertain solar photovoltaic (PV) generation. It uses Long Short-Term Memory (LSTM) to forecast solar radiation accurately, solving the problem of uncertain PV generation. The Binary Differential Evolution (BDE) algorithm is employed to solve the optimal Transmission Expansion Planning (TEP) problem, aiming to minimize total system cost. Simulation results demonstrate that the proposed method, combined with LSTM prediction of solar PV generation, can reduce the total system cost of transmission expansion by 9.12% compared to using statistical solar radiation data.
Article
Multidisciplinary Sciences
V. Seithtanabutara, N. Chumwangwapee, A. Suksri, T. Wongwuttanasatian
Summary: This study explores the use of natural dyes from different plants as sensitised dyes in dye-sensitised solar cells (DSSCs). The combination of pigments as sensitised dye offers advantages over using a single pigment, resulting in higher light absorption and energy band gap values. By combining dyes from Ivy gourd leaves and Turmeric, the DSSC efficiency was increased to 0.3%, suggesting that the dye co-sensitization strategy can improve the effectiveness of natural dyes in DSSCs.
Article
Computer Science, Information Systems
Niphon Kaewdornhan, Chitchai Srithapon, Rongrit Chatthaworn
Summary: This paper proposes an optimal energy management method using deep neural networks as surrogate models to reduce the computational burden of deep reinforcement learning. The method has been validated to significantly reduce the computational time and provide optimal energy prices.
