Article
Energy & Fuels
Gildas Fosso Tajouo, Pascalin Tiam Kapen, Francis Lenine Djanna Koffi
Summary: This study presents the techno-economic analysis of a small-scale PV/Wind/Battery hybrid system for rural electrification in Mbouda. The major contributions include the proposal of the PV/Wind/Battery hybrid system, implementation of six PV tracking techniques, evaluation of ambient air temperature on PV power production, and investigation of different hub heights on wind turbine power output. The optimization and sensitivity analysis of the hybrid system showed that the dual-axis solar tracker system offered the highest power production and PV penetration. The economic analysis indicated that the dual-axis solar tracker system had the lowest levelized cost of energy and net present cost. The system was also found to be environmentally friendly with no greenhouse gas emissions.
ENERGY STRATEGY REVIEWS
(2023)
Article
Energy & Fuels
Zafar A. Khan, Muhammad Imran, Abdullah Altamimi, Ogheneruona E. Diemuodeke, Amged Osman Abdelatif
Summary: In addition to zero-carbon generation, the decreasing cost of renewable energy sources is enabling the increased use of distributed-generation sources. However, without appropriate design and understanding of the load nature, renewable energy sources can be unreliable and expensive. Limited research has been done on designing small-scale hybrid energy systems for irrigation pumping, hence this paper presents a comprehensive feasibility analysis for an off-grid hybrid renewable energy system for irrigation in Sudan. The results suggest that the selection of the system depends on the cost, wind speed volatility, solar radiation, and system size, and currently, hybridization is not the primary option at most sites.
Article
Energy & Fuels
Jayasankar Nishanthy, Sathiasamuel Charles Raja, Thangavel Praveen, Joseph Jeslin Drusila Nesamalar, Paramasivam Venkatesh
Summary: This paper analyzes the techno-economic and environmental factors of hybrid solar wind vehicle charging stations in Southern Tamil Nadu, India. The sensitivity analysis is performed at different highway locations to determine the feasibility of using renewable energy sources for electric vehicle charging. The results show that the designed charging station is capable of charging 17 electric vehicles and Virudhunagar is the most cost-effective location with a 50% reduction in emission. Madurai produces the highest amount of electrical energy compared to other locations, making it an ideal choice for establishing charging stations.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Chemistry, Physical
Srijit Basu, Alfred John, Akshay, Anil Kumar
Summary: The study compares Solar-Hydrogen, Wind-Hydrogen, and Solar Wind-Hydrogen hybrid systems, concluding that the hybrid system has the most economical levelized cost of energy, suitable for addressing fluctuating output power issues, with higher costs for Solar Photovoltaics and Wind systems.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Energy & Fuels
R. Rajesh Kanna, R. Raja Singh
Summary: This study analyzed the feasibility of a hybrid energy system in a rural village in Assam, India. The system utilizes solar PV and micro-hydro as its primary energy sources, with batteries for energy storage. The results show that this system can provide reliable and economical electricity for the village, while also being environmentally friendly.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Thermodynamics
Faizan A. Khan, Nitai Pal, Syed. H. Saeed, Ashiwani Yadav
Summary: This study investigated an economical hybrid solution to find the best storage technology in remote areas of India to meet residential community load. Lead-Acid Flow based technology was found most suitable, with the optimized hybrid arrangement showing lower costs and higher renewable fraction.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Ruben Hidalgo-Leon, Fernando Amoroso, Javier Urquizo, Viviana Villavicencio, Miguel Torres, Pritpal Singh, Guillermo Soriano
Summary: This paper demonstrates the feasibility of four off-grid hybrid power systems to supply energy to the Cerrito de los Morrenos community in Ecuador, and provides the optimal configuration which shows the impact of energy efficiency on costs and CO2 emissions.
Article
Energy & Fuels
Beyhan Akarsu, Mustafa Serdar Genc
Summary: This study analyzes the optimal solution of using a hybrid renewable energy system to meet residential electricity demand in Kayseri. The hybrid system includes solar, wind, diesel generator, battery, and hydrogen storage, offering both economic benefits and lower carbon emissions.
Article
Thermodynamics
H. Allouhi, A. Allouhi, K. M. Almohammadi, A. Hamrani, A. Jamil
Summary: This study proposes a Hybrid Renewable Energy System based on microgrid power, which can meet the electricity demand of multi-family buildings and generate clean hydrogen. The design and configuration of the system depend on the wind and solar energy potential of the location.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Ioan Cristian Hoarca, Nicu Bizon, Ioan Sorin Sorlei, Phatiphat Thounthong
Summary: A comparative sizing design for renewable power systems was developed using HOMER and iHOGA simulators, and a detailed comparative analysis of the solutions obtained from both simulators was presented. The study showed that the design implemented in iHOGA resulted in a higher share of renewable energy, lower carbon dioxide emissions, and lower operating costs compared to HOMER. This indicates that the iHOGA design is more efficient and practical for hybrid renewable power systems.
Article
Energy & Fuels
Iman Rahimi, Mohammad Reza Nikoo, Amir H. Gandomi
Summary: Hybrid energy systems are considered as viable alternatives for power production in Australia. This study proposes an optimal integrated renewable energy system model for five major Australian cities to fulfill their electrical energy demands.
ENERGY STRATEGY REVIEWS
(2023)
Article
Forestry
Sang-Hyun Lee, Dong-Hyuk Kim, Jin-Heon Jeong, Seung-Hyun Han, Seongjun Kim, Hee-Jung Park, Hyun-Jun Kim
Summary: Stand growth models and a yield table were used to analyze the economic feasibility of Acacia hybrid plantations in southern Vietnam. The results showed that at 7 years of age, the net present value was USD 1566/ha, and the internal rate of return was 13%, exceeding the market interest rate.
Article
Economics
Shahab Qureshi, Long Phan-Van, Linh Dan Nguyen, Tuyen Nguyen-Duc
Summary: The Vietnam government has implemented various incentive policies to promote rooftop solar development, due to the pressure of electricity supply and demand and Vietnam's commitment to net-zero emissions. This paper proposes a feasibility assessment model for rooftop solar policies to support the government in formulating the next incentive policy. The model evaluates the viability of policies from the perspective of both utility/entity and customer, generating technical and financial output to assess the impacts of potential policies under different scenarios.
Article
Green & Sustainable Science & Technology
Ramesh Kumar Arunachalam, Kumar Chandrasekaran, Eugen Rusu, Nagananthini Ravichandran, Hady H. Fayek
Summary: A hybrid microgrid system was modelled using HOMER-Pro software to consider real-time load and available energy sources in Elapakkam village, Tamil Nadu, India. Optimization approaches were applied to select the rating of physical components and economic parameters for an optimal-sized and reliable system. A comparison of cost of energy and renewable energy penetration was conducted for different case studies in the village, revealing the potential to minimize emissions through a combination of existing and renewable energy systems.
Article
Green & Sustainable Science & Technology
[Anonymous]
Summary: The paper examines the economic assessment of off-grid renewable energy projects in a typical Saudi Arabian village based on load data using highly accurate data from seven ground-monitoring stations. It compares wind/battery, PV/battery, and PV/wind/battery systems in different locations from 2019 to 2025 and finds that PV/wind/battery systems have the lowest LCOE in Yanbu and Sharurah in 2019, while PV/battery systems are preferable in other locations. The projected decline in PV and battery costs is more rapid than in wind turbine costs, making PV/battery systems the most cost-effective option in each location by 2025.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Green & Sustainable Science & Technology
Ashish Kumar Karmaker, Md. Alamgir Hossain, Nallapaneni Manoj Kumar, Vishnupriyan Jagadeesan, Arunkumar Jayakumar, Biplob Ray
Article
Engineering, Electrical & Electronic
S. Thenappan, M. Valan Rajkumar, P. S. Manoharan
Summary: Diabetes mellitus is a serious disease that causes a large number of deaths. Early prediction and accurate diagnosis are crucial for reducing the mortality rate. This research presents a new model that utilizes data mining and machine learning algorithms to enhance the early prediction of diabetes, while ensuring the security of patient data using honey bee encryption. Experimental results demonstrate that the proposed method achieves high accuracy in diabetes classification.
IETE JOURNAL OF RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
N. Kumarasabapathy, P. S. Manoharan, M. Ramasamy
SEMICONDUCTOR SCIENCE AND TECHNOLOGY
(2020)
Article
Engineering, Electrical & Electronic
Palanivel Deepamangai, P. S. Manoharan
IET POWER ELECTRONICS
(2020)
Article
Engineering, Electrical & Electronic
M. Bhavani, P. S. Manoharan
Summary: This study introduces the design and development of a modular switched multilevel inverter with a reduced number of components, proposing a single phase 21-level inverter topology and investigating three optimization techniques. The performance of the proposed inverter is analyzed through simulations and experimental validations.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2022)
Article
Automation & Control Systems
J. Vijay Anand, P. S. Manoharan
Summary: The fuzzy logic controller uses IF-THEN rules to control a system through human intellect, handling parameter uncertainty and tuning using offline methods. An emerging trend is the online evolving adaptation of fuzzy controller design.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2022)
Article
Computer Science, Artificial Intelligence
M. Bhavani, P. S. Manoharan
Summary: This manuscript proposes a proficient control strategy-based improved Quasi-Z-Source Cascaded Multilevel Inverter (QZS-CMI) topology for interfacing photovoltaic (PV) system. The control strategy, called RERNN-SGO technique, is the joint execution of recalling-enhanced recurrent neural network (RERNN) and Shell Game Optimization (SGO). The proposed system aims to determine the efficiency of the photovoltaic system and maximize power extraction. It utilizes the RERNN-SGO method to improve power delivery, voltage profile, and minimize power oscillation.
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS
(2023)
Article
Computer Science, Hardware & Architecture
S. Meenakshi Ammal, P. S. Manoharan
Summary: Many elders with Alzheimer's disease (AD) exhibit various abnormal behaviors in their daily activities. This study proposes a method to detect these behavioral abnormalities using wearables. Different multi-headed architectures and conventional methods are implemented to model activity patterns, and a multi-label prediction technique is used for abnormal activity detection. Experimental results show that the proposed multi-headed architectures achieve better performance than conventional methods.
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
(2023)
Article
Construction & Building Technology
Priyanka Murugesan, Pachaivannan Partheeban, Shiva Manimuthu, Vishnupriyan Jegadeesan, Chella Gifta Christopher
Summary: This research analyzes a solar dryer based on geopolymer bricks and compares it with other types of bricks on the market. In addition to solar-dried geopolymer bricks, recent research studies have been conducted on construction bricks. The qualities of burnt clay bricks, concrete bricks, hollow blocks, bio-bricks, and geopolymer bricks are analyzed and compared using multi-criteria analysis, including compressive test, water absorption test, thermal conductivity test, SEM analysis, cost comparison, and VIKOR's matrix test data.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Sathishkumar Ramasamy, Deepamangai Palanivel, P. S. Manoharan
Summary: In this study, a PV fed Modified Resonant Voltage Multiplier Rectifier (RVMR) is proposed for hybrid renewable energy systems. The PV source energy is maximized by applying the perturb and observe (P & O) based MPPT method in the modified RVMR scheme. The voltage gain and efficiency of the proposed RVMR are analyzed and evaluated in the MATLAB/SIMULINK environment to observe the improvement in dynamic response and voltage gain.
ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
P. Janavi, P. S. Manoharan, P. Deepamangai
Summary: This paper presents a proportional integral regulation method for enhanced-boost quasi-z-source inverter (EB-qZSI) and introduces a generic approach for processing sinusoidal pulse width modulation (SPWM) for this inverter.
2022 SECOND INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRICAL, COMPUTING, COMMUNICATION AND SUSTAINABLE TECHNOLOGIES (ICAECT)
(2022)
Article
Engineering, Multidisciplinary
S. Jayanthi, S. Arockia Edwin Xavier, P. S. Manoharan
Summary: This paper proposes a hybrid islanding detection technique for addressing the islanding issue in microgrids, which demonstrates excellent performance even under low power perturbations.
BULLETIN OF THE POLISH ACADEMY OF SCIENCES-TECHNICAL SCIENCES
(2022)
Proceedings Paper
Energy & Fuels
K. Soffiah, P. S. Manoharan, P. Deepamangai
Summary: This paper presents the use of Artificial Neural Network in MATLAB software to identify short circuit faults in PV panels connected to the grid in order to reduce maintenance effort and time consumption involved in fault identification.
2021 7TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENERGY SYSTEMS (ICEES)
(2021)
Article
Engineering, Multidisciplinary
Vijay J. Anand, P. S. Manoharan, Jeyadheep J. Vignesh, M. Varatharajan, Rubina M. Sherin
Summary: This study introduces two optimization methods, SSA and SSO, based on spider optimization algorithm for enhancing PID controllers in MIMO systems. Through comprehensive evaluation of system performance, SSO demonstrates superior output measures and performance indices compared to SSA and GA.
TEHNICKI VJESNIK-TECHNICAL GAZETTE
(2021)
Article
Energy & Fuels
M. Senthil Kumar, J. Vishnupriyan, Nallapaneni Manoj Kumar
INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH
(2020)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
