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i-manager's Journal on Power Systems Engineering (JPS)

Current Issue Vol. 12 Issue 1

Thermodynamic and Exergoeconomic Operation Optimization and Simulation of Steam Generation Solar Power Plant
Topology Transformation Approach for Optimal PMU Placement for Monitoring and Control of Power System
Performance Evaluation of Power System with HVDC Integration: Impact of SSSC and STATCOM on Power System Efficiency and Stability
Photovoltaic Systems: A Pollination-Based Optimization Approach for Critical Industrial Applications
Design of a Robust Controller for the Load Frequency Control of Interconnected Power System

Most Cited

Volume 10 Issue 3 August - October 2022

Article

Bagasse-Based Sugar Cogeneration Potential in India: A Source of Renewable Energy

Samsher Kadir Sheikh* , Manish Jain**

* Department of Electrical Engineering, Dr Vithalrao Vikhe Patil College of Engineering, Ahmednagar, Maharashtra, India.

** Department of Electrical and Electronics, Mandsaur University, Mandsaur, Madhya Pradesh, India.

Sheikh, S. K., and Jain, M. (2022). Bagasse-Based Sugar Cogeneration Potential in India: A Source of Renewable Energy. i-manager’s Journal on Power Systems Engineering, 10(3), 1-6. https://doi.org/10.26634/jps.10.3.19177

Abstract

India has been suffering from an acute shortage of electricity for several decades. The main reason is that there is a large gap between the demand and supply of electricity. Therefore, the government of India has recently promoted cogeneration in the sugar industry. The national power generation potential from bagasse cogeneration, according to the Ministry of New and Renewable Energy (MNRE), a study by the Government of India, is about 3,500 MW, while Maharashtra's potential is 1,250 MW. Indian Sugar Industries has the potential to produce an excess capacity of up to 5,000 MW in all sugar mills. Maharashtra again became India's leading sugar-producing state five years later. It overtook Uttar Pradesh in sugar production. The total sugar production in Maharashtra is 138 thousand metric tonnes for 2021–2022. In India, the sugar industry is the second-largest agro-industry and contributes significantly to the socioeconomic development of the country. Sugarcane is the main raw material for sugar production in India. Sugar cogeneration is the concept of producing two types of energy from one fuel. One form of energy must always be heated, and the other may be electricity or mechanical energy. In the cogeneration industry, very high-efficiency levels in the range of 75% to 90% can be achieved.

References

[1]. Bhattacharyya, S. C., & Thang, D. N. Q. (2004). The cogeneration potential of the sugar industry in Vietnam. Organization of Petroleum Exporting Countries (OPEC) Review, 28(1), 63-80. https://doi.org/10.1111/j.0277-0180.2004.00079.x

[2]. Bhutto, A. W., Bazmi, A. A., & Zahedi, G. (2011). Greener energy: Issues and challenges for Pakistan- Biomass energy prospective. Renewable and Sustainable Energy Reviews, 15(6), 3207-3219. https://doi.org/10.1016/j.rser.2011.04.015

[3]. Global Climate Change - Vital Signs of the Planet. (n.d.). Understanding our Planet to Benefit Humankind. Retrieved from https://climate.nasa.gov/

[4]. Hakeem, K. R., Jawaid, M., & Rashid, U. (Eds.). (2014). Biomass and Bioenergy: Applications. Springer, 1-58.

[5]. Hofsetz, K., & Silva, M. A. (2012). Brazilian sugarcane bagasse: Energy and non-energy consumption. Biomass and Bioenergy, 46, 564-573. https://doi.org/10.1016/j.biombioe.2012.06.038

[6]. Kilicaslan, I., Sarac, H. I., Özdemir, E., & Ermiş, K. (1999). Sugar cane as an alternative energy source for Turkey. Energy Conversion and Management, 40(1), 1-11. https://doi.org/10.1016/S0196-8904(98)00103-4

[7]. Mengjie, W., & Suzhen, D. (1994). A Potential Renewable Energy Resource Development and Utilization of Biomass Energy. Food and Agriculture Organization of the United Nations, 341-349.

[8]. Mirza, U. K., Ahmad, N., & Majeed, T. (2008). An overview of biomass energy utilization in Pakistan. Renewable and Sustainable Energy Reviews, 12(7), 1988-1996. https://doi.org/10.1016/j.rser.2007.04.001

[9]. Mishra, M. K., Khare, N., & Agrawal, A. B. (2014). Bagasse cogeneration in India: status, barriers. IOSR Journal of Mechanical and Civil Engineering (IOSRJMCE), 11(1), 69-78.

[10]. Parikka, M. (2004). Global biomass fuel resources. Biomass and Bioenergy, 27(6), 613-620. https://doi.org/10.1016/j.biombioe.2003.07.005

[11]. Paturau, J. M. (n.d.). Alternative uses of Sugarcane and its Byproducts in Agroindustries. Retrieved from https://www.fao.org/3/s8850e/s8850e03.htm

[12]. Tiwari, G. N., & Ghosal, M. K. (2005). Renewable Energy Resources: Basic Principles and Applications. Alpha Science International, (pp. 649).

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Research Paper

Photovoltaic-Based Electric Vehicle Charging Station using GA Algorithm

Sweta Pandey* , Surekha Bhusnur, Naushin Anjum*

*-*** Bhilai Institute of Technology, Durg, Chhattisgarh, India.

Pandey, S., Bhusnur, S., and Anjum, N. (2022). Photovoltaic-Based Electric Vehicle Charging Station using GA Algorithm. i-manager’s Journal on Power Systems Engineering, 10(3), 7-16. https://doi.org/10.26634/jps.10.3.19172

Abstract

Detailed modeling of rapid charging Electric Vehicle (EV) stations connected to a hybrid grid-Renewable Energy Systems (RES), such as solar, mini-hydro, and wind, has been proposed. This assists in maximizing profit and lowering grid energy consumption. Since Photovoltaic (PV) systems exhibit several peaks under partial shading conditions; it is very difficult to track the global maximum point. Therefore, a broad search is needed to solve this nonlinear problem. Due to the variety of solutions, GA is preferred for solar MPPT. In comparison to the Genetic Algorithm (GA) and Maximum Power Point Tracking (MPPT) technique, the economic considerations obtained optimizes profit. It is also obvious that the proposed strategy lowers the grid's influence on the system network by capping the amount of electricity that may be exchanged between the system network and the grid. The voltage and current of PV array with GA method and GA MPPT technique results on the utility grid respectively.

References

[1]. Ahmed, E. M., Aly, M., Elmelegi, A., Alharbi, A. G., & Ali, Z. M. (2019). Multifunctional distributed MPPT controller for 3P4W grid-connected PV systems in distribution network with unbalanced loads. Energies, 12(24), 4799. https://doi.org/10.3390/en12244799

[2]. Alik, R., & Jusoh, A. (2018). An enhanced P&O checking algorithm MPPT for high tracking efficiency of partially shaded PV module. Solar Energy, 163, 570-580. https://doi.org/10.1016/j.solener.2017.12.050

[3]. Benkercha, R., Moulahoum, S., & Colak, I. (2017, December). Modelling of fuzzy logic controller of a maximum power point tracker based on artificial neural network. In 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 485-492). IEEE. https://doi.org/10.1109/ICMLA.2017.0-114

[4]. Ding, K., Bian, X., Liu, H., & Peng, T. (2012). A MATLABsimulink- based PV module model and its application under conditions of nonuniform irradiance. IEEE Transactions on Energy Conversion, 27(4), 864-872. https://doi.org/10.1109/TEC.2012.2216529

[5]. Ge, X., Ahmed, F. W., Rezvani, A., Aljojo, N., Samad, S., & Foong, L. K. (2020). Implementation of a novel hybrid BAT-Fuzzy controller based MPPT for grid-connected PVbattery system. Control Engineering Practice, 98, 104380. https://doi.org/10.1016/j.conengprac.2020.104380

[6]. Habib, S., Kamran, M., & Rashid, U. (2015). Impact analysis of vehicle-to-grid technology and charging strategies of electric vehicles on distribution networks-A review. Journal of Power Sources, 277, 205-214. https://doi.org/10.1016/j.jpowsour.2014.12.020

[7]. Jiang, Z., Tian, H., Beshir, M. J., Vohra, S., & Mazloomzadeh, A. (2016, September). Analysis of electric vehicle charging impact on the electric power grid: Based on smart grid regional demonstration project—Los Angeles. In 2016 IEEE PES Transmission & Distribution Conference and Exposition-Latin America (PES T&D-LA) (pp. 1-5). IEEE. https://doi.org/10.1109/TDCLA.2016.7805675

[8]. Kermadi, M., & Berkouk, E. M. (2015, May). A maximum power point tracker based on particle swarm optimization for PV-battery energy system under partial shading conditions. In 2015 3rd International Conference on Control, Engineering & Information Technology (CEIT) (pp. 1-6). IEEE. https://doi.org/10.1109/CEIT.2015.7233061

[9]. Kermadi, M., Salam, Z., Ahmed, J., & Berkouk, E. M. (2018). An effective hybrid maximum power point tracker of photovoltaic arrays for complex partial shading conditions. IEEE Transactions on Industrial Electronics, 66(9), 6990-7000. https://doi.org/10.1109/TIE.2018.2877202

[10]. Kota, V. R., & Bhukya, M. N. (2017). A novel linear tangents based P&O scheme for MPPT of a PV system. Renewable and Sustainable Energy Reviews, 71, 257-267. https://doi.org/10.1016/j.rser.2016.12.054

[11]. Li, C., Chen, Y., Zhou, D., Liu, J., & Zeng, J. (2016). A high-performance adaptive incremental conductance MPPT algorithm for photovoltaic systems. Energies, 9(4), 288. https://doi.org/10.3390/en9040288

[12]. Li, Y., Samad, S., Ahmed, F. W., Abdulkareem, S. S., Hao, S., & Rezvani, A. (2020). Analysis and enhancement of PV efficiency with hybrid MSFLA–FLC MPPT method under different environmental conditions. Journal of Cleaner Production, 271, 122195. https://doi.org/10.1016/j.jclepro.2020.122195

[13]. Mohapatra, A., Nayak, B., Das, P., & Mohanty, K. B. (2017). A review on MPPT techniques of PV system under partial shading condition. Renewable and Sustainable Energy Reviews, 80, 854-867. https://doi.org/10.1016/j.rser.2017.05.083

[14]. Patel, H., Gupta, M., & Bohre, A. K. (2016, December). Mathematical modeling and performance analysis of MPPT based solar PV system. In 2016 International Conference on Electrical Power and Energy Systems (ICEPES) (pp. 157-162). IEEE. https://doi.org/10.1109/ICEPES.2016.7915923

[15]. Priyadarshi, N., Padmanaban, S., Maroti, P. K., & Sharma, A. (2018). An extensive practical investigation of FPSO-based MPPT for grid integrated PV system under variable operating conditions with anti-islanding protection. IEEE Systems Journal, 13(2), 1861-1871. https://doi.org/10.1109/JSYST.2018.2817584

[16]. Priyadarshi, N., Sharma, A. K., & Priyam, S. (2018). An experimental realization of grid-connected PV system with MPPT using dSPACE DS 1104 control board. In Advances in Smart Grid and Renewable Energy (pp. 125-133). Springer, Singapore. https://doi.org/10.1007/978-981-10-4286-7_13

[17]. Ranjan, K., & Kumar, N. (2016, July). Modelling and simulation of Perturb and Observe algorithm on solar PV system using different converters in MATLAB/SIMULINK. In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) (pp. 1-6). IEEE. https://doi.org/10.1109/ICPEICES.2016.7853373

[18]. Titri, S., Larbes, C., Toumi, K. Y., & Benatchba, K. (2017). A new MPPT controller based on the Ant colony optimization algorithm for Photovoltaic systems under partial shading conditions. Applied Soft Computing, 58, 465-479. https://doi.org/10.1016/j.asoc.2017.05.017

[19]. Viswambaran, V. K., Ghani, A., & Zhou, E. (2016, December). Modelling and simulation of maximum power point tracking algorithms & review of MPPT techniques for PV applications. In 2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA) (pp. 1-4). IEEE. https://doi.org/10.1109/ICEDSA.2016.7818506

[20]. Visweswara, K. (2014). An investigation of incremental conductance based maximum power point tracking for photovoltaic system. Energy Procedia, 54, 11-20. https://doi.org/10.1016/j.egypro.2014.07.245

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Research Paper

Combined Neural Network and Fuzzy Control for Maximum Power Point Tracking In Solar PV System

Keshaw Ram* , B. Chiranjeev Rao, Raina Jain*

* Department of Electrical and Electronics Engineering, Shri Shankaracharya Group of Institutions, Bhilai, India.

Department of Power System Engineering, Swami Vivekanand Technical University, Bhilai, India.

* Department of Electrical and Electronics Engineering, Chouksey Engineering College, Bilaspur, India.

Ram, K., Rao, B. C., and Jain, R. (2022). Combined Neural Network and Fuzzy Control for Maximum Power Point Tracking in Solar PV System. i-manager’s Journal on Power Systems Engineering, 10(3), 17-24. https://doi.org/10.26634/jps.10.3.19159

Abstract

The most effective renewable energy in the future among energy. Using photovoltaic (PV) panels is the most effective approach to utilize solar energy for electrical power. The photovoltaic panel that uses solar energy has non-linear voltage-current and voltage-control properties. The control yield from the solar-powered PV board is highest at a certain voltage point. The maximum power point voltage is the voltage at which the PV board produces the most power. The construction of the solar-powered PV board and a description of its features have been presented. In order to acquire the highest control point voltage, the difference between the real Maximum Power Point Tracking (MPPT) voltage and the MPPT voltage deduced from the Artificial Neural Network (ANN) arrangement is displayed, and it is successfully accepted. The result appears to be an exact match for the accuracy of ANN. The PV board's highest control point can be successfully and accurately tracked using the ANN display that was obtained. From the various results obtained, it becomes obvious that the suggested computation proves to be considerably simpler in following the PV board's most extreme control point. The reaction time is drastically reduced when the proposed control approach is used since the PV voltage closely tracks the highest control point voltage. Additionally, the proposed strategy's precision is incredibly logical. In every irradiance and temperature scenario, the control framework performs well.

References

[1]. An, L., & Lu, D. D. C. (2014). Design of a single-switch DC/DC converter for a PV-battery-powered pump system with PFM+ PWM control. IEEE Transactions on Industrial Electronics, 62(2), 910-921. https://doi.org/10.1109/TIE.2014.2359414

[2]. Anderson, E. E. (1983). Fundamentals of Solar Energy Conversion. United States.

[3]. Belkaid, A., Colak, U., & Kayisli, K. (2017, November). A comprehensive study of different photovoltaic peak power tracking methods. In 2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA) (pp. 1073-1079). IEEE. https://doi.org/10.1109/ICRERA.2017.8191221.

[4]. Beltran, A. A. (2019, October). Standalone Solar PV Maximum Power Point Tracking Using Interval Type-2 Fuzzy Logic. In 2019 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE) (pp. 534-537). IEEE. https://doi.org/10.1109/ECICE47484.2019.8942747

[5]. Canny, D., & Yusivar, F. (2018, August). Maximum power point tracking (MPPT) algorithm simulation based on fuzzy logic controller on solar cell with boost converter. In 2018 2nd International Conference on Smart Grid and Smart Cities (ICSGSC) (pp. 117-121). IEEE.

[6]. de Souza, A. C., Melo, F. C., Oliveira, T. L., & Tavares, C. E. (2016). Performance analysis of the computational implementation of a simplified PV model and MPPT algorithm. IEEE Latin America Transactions, 14(2), 792-798. https://doi.org/10.1109/TLA.2016.7437224

[7]. Ding, K., Bian, X., Liu, H., & Peng, T. (2012). A MATLABsimulink- based PV module model and its application under conditions of nonuniform irradiance. IEEE Transactions on Energy Conversion, 27(4), 864-872. https://doi.org/10.1109/TEC.2012.2216529

[8]. Djalab, A., Bessous, N., Rezaoui, M. M., & Merzouk, I. (2018, December). Study of the effects of partial shading on PV array. In 2018 International Conference on Communications and Electrical Engineering (ICCEE) (pp. 1-5). IEEE. https://doi.org/10.1109/CCEE.2018.8634512

[9]. Giraud, F., & Salameh, Z. M. (1999). Analysis of the effects of a passing cloud on a grid-interactive photovoltaic system with battery storage using neural networks. IEEE Transactions on Energy Conversion, 14(4), 1572-1577. https://doi.org/10.1109/60.815107

[10]. Khan, A., & Kosala, D. (2020). Maximum power point voltage prediction for solar photo voltaic panel using artificial neural network. International Journal of Engineering Research and Applications, 10(9), 25-28.

[11]. Kumar, S. (2017). Neural Networks – A Classroom Approach. Tata McGraw-Hill Education.

[12]. Mbarki, B., Farhani, F., & Zaafouri, A. (2019, December). Comparative study of some Maximum Power Point Tracking algorithms. In 2019 International Conference on Signal, Control and Communication (SCC) (pp. 145-149). IEEE. https://doi.org/10.1109/scc47175.2019.9116145

[13]. Montecucco, A., & Knox, A. R. (2014). Maximum power point tracking converter based on the open-circuit voltage method for thermoelectric generators. IEEE Transactions on Power Electronics, 30(2), 828-839.

[14]. Rathore, N., & Singh, P. K. (2017). A Comparative Analysis of Fuzzy Based Load Balancing Algorithms. imanager's Journal on Computer Science, 5(2), 23-33. https://doi.org/10.26634/jcom.5.2.13907

[15]. Roshan, A., Dwivedi, P., & Kumar, H. (2019, August). Fuzzy Based MPPT and Energy Management Strategy. In 2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC) (pp. 14-19). IEEE.

[16]. Saha, S. K. (2018, July). Optimization technique based fuzzy logic controller for MPPT of solar PV system. In 2018 International Conference on Emerging Trends and Innovations In Engineering And Technological Research (ICETIETR) (pp. 1-5). IEEE.

[17]. Saleh, A., Azmi, K. F., Hardianto, T., & Hadi, W. (2018, October). Comparison of MPPT fuzzy logic controller based on perturb and observe (P&O) and incremental conductance (InC) algorithm on buck-boost converter. In 2018 2nd international conference on electrical engineering and informatics (ICon EEI) (pp. 154-158). IEEE. https://doi.org/10.1109/ICon-EEI.2018.8784324

[18]. Samadhan, M. A., & Kamble, S. S. (2020, September). Simulated Study Of Maximum Power Point Tracking Methods (MPPT) By Simulink Realization. In 2020 International Conference on Smart Electronics and Communication (ICOSEC) (pp. 1081-1086). IEEE.

[19]. Samal, S., Barik, P. K., & Sahu, S. K. (2018, March). Extraction of maximum power from a solar PV system using fuzzy controller based MPPT technique. In 2018 Technologies for Smart-City Energy Security and Power (ICSESP) (pp. 1-6). IEEE. https://doi.org/10.1109/ICSESP.2018.8376721

[20]. Shieh, C. S. (2018, April). Fuzzy control for maximum power extraction. In 2018 IEEE International Conference on Applied System Invention (ICASI) (pp. 950-952). IEEE.

[21]. Tiwari, G. N., & Ghosal, M. K. (2007). Fundamentals of Renewable Energy Sources. Narosa Publishing House, New Delhi.

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Review Paper

Solar Energy Applications for Agriculture: A Review

Manoj Khoja*

Department of Petroleum Engineering and Earth Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.

Khoja, M. (2022). Solar Energy Applications for Agriculture: A Review. i-manager’s Journal on Power Systems Engineering, 10(3), 25-32. https://doi.org/10.26634/jps.10.3.19031

Abstract

Various solar energy harvesting technologies have been developed and tested for agricultural applications. Renewable energies such as biomass, solar, and wind energy offer long-term energy sources for farmers and can replace other fuels. Many renewable energy technologies are used in agriculture, depending on the type of energy required, the availability of renewable energy sources, and the design of agricultural structures and processes. Solar energy is used in agriculture for a variety of purposes to increase self-sufficiency, save money and bills, and reduce pollution when replaced with other fuels. Solar collectors can be used to dry plants and heat homes, barns, and greenhouses. These include solar thermal and electrical devices such as photovoltaics, solar water pumps, solar dryers, solar greenhouse heating, livestock ventilation, and solar aeration pumps, which can be powered by photovoltaics (solar panels). This article describes different types of applications used for agricultural purposes.

References

[1]. Benghanem, M., Daffallah, K. O., Alamri, S. N., & Joraid, A. A. (2014). Effect of pumping head on solar water pumping system. Energy Conversion and Management, 77, 334-339. https://doi.org/10.1016/j.enconman.2013. 09.043

[2]. Bundschuh, J., Chen, G., Tomaszewska, B., Ghaffour, N., Mushtaq, S., Hamawand, I., ... & Mahmoudi, D. L. (2017). Solar, Wind and Geothermal Energy Applications in Agriculture: Back to the Future? CRC Press, 1-32.

[3]. Chikaire, J., Nnadi, F. N., Nwakwasi, R. N., Anyoha, N. O., Aja, O. O., Onoh, P. A., & Nwachukwu, C. A. (2010). Solar energy applications for agriculture. Journal of Agricultural and Veterinary Sciences, 2, 58-62.

[4]. Hudon, K., Sparn, B., Christensen, D., & Maguire, J. (2012). Heat Pump Water Heater Technology Assessment Based on Laboratory Research and Energy Simulation Models (No. NREL/CP-5500-51433). National Renewable Energy Laboratory (NREL), Golden, CO (United States).

[5]. Hussain, M. I., & Lee, G. H. (2015). Utilization of solar energy in agricultural machinery engineering: A review. Journal of Biosystems Engineering, 40(3), 186-192. https://doi.org/10.5307/JBE.2015.40.3.186

[6]. Rahman, A. (2016). ICAR Research Complex for Eastern Region. Retrieved from https://www.researchgate.net/profile/A-Rahman-4

[7]. Sanford, S. (2010). Biomass Heating in Greenhouses. Retrieved from https://fyi.extension.wisc.edu/energy/files/2016/09/BiomassEnergyforGreenhouses_narrative.pdf

[8]. Schnepf, R. (2005). Agricultural-Based Renewable Energy Production. Congressional Research Service, United States, 1-35.

[9]. Sontake, V. C., & Kalamkar, V. R. (2016). Solar photovoltaic water pumping system-A comprehensive review. Renewable and Sustainable Energy Reviews, 59, 1038-1067. https://doi.org/10.1016/j.rser.2016.01.021

[10]. Torshizi, M. V., & Mighani, A. H. (2017). The application of solar energy in agricultural systems. Journal of Renewable Energy and Sustainable Development, 3(2), 234-240. http://doi.org/10.21622/RESD.2017.03.2.234

[11]. Union of Concerned Scientists. (2008). Renewable Energy and Agriculture: A Natural Fit. Retrieved from https://www.ucsusa.org/resources/renewable-energyand-agriculture

[12]. Walker, A. (2012). Renewable Energy Policy. National Renewable Energy Laboratory, U. S. Department of Energy, 1-99.

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Review Paper

Scope of Hydrogen-Based Vehicles in India: A Review

Shaswat Kumar*

UPES, University in Dehradun, Uttarakhand, India

Kumar, S. (2022). Scope of Hydrogen-Based Vehicles in India: A Review. i-manager’s Journal on Power Systems Engineering, 10(3), 33-43. https://doi.org/10.26634/jps.10.3.19170

Abstract

India is dealing with the problem of high automotive emissions as the number of vehicles on the road is rising. The primary cause of these emissions is the burning of crude oil. India imports crude oil from nations with abundant oil supplies because it lacks the resources to meet all of the country's energy needs for cars. There is a need to look for a carbon-free alternative fuel that is locally accessible in sufficient quantity to suit India's energy needs in order to address the problems related to oil imports and vehicle emissions. Hydrogen is a clean fuel choice among the potential energy sources because its combustion only yields water as a byproduct, and also due to its purity and high energy content, hydrogen energy offers a sustainable alternative to fossil fuels. India has the benefit of producing hydrogen from renewable sources like solar and wind during periods of lower demand because of its continuously expanding renewable energy generation capacity, and Asia is one of the continents with a wealth of these resources. Also, the exponential increase in food waste generation has prompted the scientific community to convert it into value-added resources. The main elements influencing the adoption of hydrogen as a cost-effective energy source in Asian nations are the availability of resources, safety requirements, public acceptance, and appropriate government incentives. The current analysis discusses the need to use hydrogen as an alternative fuel, its production processes, storage concerns, transportation, and the sources that are available. In various Asian nations like Japan, Korea, China, India, and Malaysia, particular focus has been placed on the notion of a renewable hydrogen economy. Perspectives on fuel supply, environmental effects, and social acceptance could help the biohydrogen energy sector evolve in a favorable way.

References

[1]. Acar, C., & Dincer, I. (2019). Review and evaluation of hydrogen production options for better environment. Journal of Cleaner Production, 218, 835-849. https://doi.org/10.1016/j.jclepro.2019.02.046

[2]. Ansari, A., Hapani, B., Kathrotia, D., Gokani, R., & Ajudiya, C. D. (2017). A review paper on hydrogen gas as alternate fuel for four stroke IC engine. Iconic Research and Engineering Journals, 1(5), 11-15.

[3]. Arunkumar, M., & Dhanakumar, S. (2019). Vehicular pollution and its implications. Pollution Research Journal, 38(3), 634-647.

[4]. Bist, B. M. S. (2006). Hydrogen energy status in India and road map for 2020. AkshayUrja–Renew Energy Newslett, 2, 19-24.

[5]. Chenoy, D. (2009). Overview of Indian Hydrogen Programme & Key Safety Issues on Hydrogen Fuel. Washington, District of Columbia, 1-33.

[6]. Deloitte. (2019). Fueling the Future of Mobility: Hydrogen and Fuel Cell Solutions for Transportation. Ballard Power Systems, 1, 1-104.

[7]. Dutta, S., Chawla, P., Khan, H. J., & Harma, B. C. (2003). Hydrogen the ultimate fuel: Science reporter team comprising. Science Reporter.

[8]. Gupta, B. R. (2012). Indian Association for Hydrogen Energy and Advanced Materials HEAM NEWS. Future Prospects of Hydrogen, Energy as Alternative Fuel in India, 1(2).

[9]. Gurjar, B. R., Ravindra, K., & Nagpure, A. S. (2016). Air pollution trends over Indian megacities and their local-toglobal implications. Atmospheric Environment, 142, 475-495. https://doi.org/10.1016/j.atmosenv.2016.06.030

[10]. International Energy Agency. (2022). Hydrogen: Energy System Overview. Retrieved from https://www.iea.org/reports/hydrogen

[11]. Johnson Matthey. (2022). Hydrogen for a Cleaner Future. Retrieved from https://matthey.com/productsand-markets/energy/hydrogen

[12]. Mallapragada, D. S., Gençer, E., Insinger, P., Keith, D. W., & O'Sullivan, F. M. (2020). Can industrial-scale solar hydrogen supplied from commodity technologies be cost competitive by 2030? Cell Reports Physical Science, 1(9), 100174. https://doi.org/10.1016/j.xcrp.2020.100174

[13]. Medisetty, V. M., Kumar, R., Ahmadi, M. H., Vo, D. V. N., Ochoa, A. A. V., & Solanki, R. (2020). Overview on the current status of hydrogen energy research and development in India. Chemical Engineering & Technology, 43(4), 613-624. https://doi.org/10.1002/ceat.201900496

[14]. Ministry of New and Renewable Energy. (n.d.). New Technologies: Hydrogen Energy. Retrieved from https:// mnre.gov.in/new-technologies/hydrogen-energy

[15]. Ministry of Power. (2022). Power Sector at a Glance All India. Retrieved from https://powermin.gov.in/en/content/power-sector-glance-all-india

[16]. Mishra, P. R., Pukazhselvan, D., Sterlin Leo Hudson, M., Pandey, S. K., & Srivastava, O. N. (2007). Hydrogen energy in Indian context and R&D efforts at Banaras Hindu University. International Journal of Environmental Studies, 64(6), 761-776. https://doi.org/10.1080/00207230701775581

[17]. Mission Innovation. (2020). India Country Status Report on Hydrogen and Fuel Cells. Retrieved from https://www.ese.iitb.ac.in/~pratibha/docs/India_Country_Status_Report_on_Hydrogen_and_Fuel_Cells.pdf

[18]. Muneer, T., Asif, M., & Munawwar, S. (2005). Sustainable production of solar electricity with particular reference to the Indian economy. Renewable and Sustainable Energy Reviews, 9(5), 444-473. https://doi.org/10.1016/j.rser.2004.03.004

[19]. Nikolaidis, P., & Poullikkas, A. (2017). A comparative overview of hydrogen production processes. Renewable and Sustainable Energy Reviews, 67, 597-611. https://doi.org/10.1016/j.rser.2016.09.044

[20]. Peighambardoust, S. J., Rowshanzamir, S., & Amjadi, M. (2010). Review of the proton exchange membranes for fuel cell applications. International Journal of Hydrogen Energy, 35(17), 9349-9384. https://doi.org/10.1016/j.ijhydene.2010.05.017

[21]. Pudukudy, M., Yaakob, Z., Mohammad, M., Narayanan, B., & Sopian, K. (2014). Renewable hydrogen economy in Asia–Opportunities and challenges: An overview. Renewable and Sustainable Energy Reviews, 30, 743-757. https://doi.org/10.1016/j.rser.2013.11.015

[22]. Rath, R., Kumar, P., Mohanty, S., & Nayak, S. K. (2019). Recent advances, unsolved deficiencies, and future perspectives of hydrogen fuel cells in transportation and portable sectors. International Journal of Energy Research, 43(15), 8931-8955. https://doi.org/10.1002/er.4795

[23]. Ruijven, B. V., Hari, L., Vuuren, D. P. V., & De Vries, B. (2008). The potential role of hydrogen energy in India and Western Europe. Energy Policy, 36(5), 1649-1665. https://doi.org/10.1016/j.enpol.2008.01.020

[24]. Solomon, B. D., & Banerjee, A. (2006). A global survey of hydrogen energy research, development and policy. Energy Policy, 34(7), 781-792. https://doi.org/10.1016/j.enpol.2004.08.007

[25]. Staffell, I., Scamman, D., Abad, A. V., Balcombe, P., Dodds, P. E., Ekins, P., ... & Ward, K. R. (2019). The role of hydrogen and fuel cells in the global energy system. Energy & Environmental Science, 12(2), 463-491. https://doi.org/10.1039/C8EE01157E

[26]. U. S. Department of Energy. (2021). Alternative Fuels Data Center Fuel Properties Comparison. Retrieved from https://afdc.energy.gov/files/u/publication/fuel_comparison_chart.pdf

[27]. United Nations Environment Programme. (n.d.). The Hydrogen Economy: A Non-Technical Review, Retrieved from https://www.unep.org/resources/report/hydrogeneconomy-non-technical-review

[28]. United States Agency for International Development. (2004). Towards a secure and renewable hydrogen economy for Asia: fundamentals, international experience, and steps forward. In International Conference on Renewable Hydrogen Economy (pp. 1-51). Makati City, Metro Manila, Philippines.

[29]. Warner, K. J., & Jones, G. A. (2019). The 21st century coal question: China, India, development, and climate change. Atmosphere, 10(8), 476. https://doi.org/10.3390/atmos10080476

[30]. Woodside Energy. (n.d.). Hydrogen: The Energy of the Future, Here Today. Retrieved from https://www.woodside.com/what-we-do/new-energy/hydrogen

[31]. Yadav, S. K., & Sahay, M. (2015). A Study on Automobile Industry Growth in India and Its Impact on Air Pollution. Journal of Advanced Research in Dynamical and Control Systems, (17), 1901-1909.

i-manager's Journal on Power Systems Engineering (JPS)

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Volume 10 Issue 3 August - October 2022

Bagasse-Based Sugar Cogeneration Potential in India: A Source of Renewable Energy

Samsher Kadir Sheikh* , Manish Jain**

* Department of Electrical Engineering, Dr Vithalrao Vikhe Patil College of Engineering, Ahmednagar, Maharashtra, India. ** Department of Electrical and Electronics, Mandsaur University, Mandsaur, Madhya Pradesh, India.

Sheikh, S. K., and Jain, M. (2022). Bagasse-Based Sugar Cogeneration Potential in India: A Source of Renewable Energy. i-manager’s Journal on Power Systems Engineering, 10(3), 1-6. https://doi.org/10.26634/jps.10.3.19177

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Photovoltaic-Based Electric Vehicle Charging Station using GA Algorithm

Sweta Pandey* , Surekha Bhusnur**, Naushin Anjum***

*-*** Bhilai Institute of Technology, Durg, Chhattisgarh, India.

Pandey, S., Bhusnur, S., and Anjum, N. (2022). Photovoltaic-Based Electric Vehicle Charging Station using GA Algorithm. i-manager’s Journal on Power Systems Engineering, 10(3), 7-16. https://doi.org/10.26634/jps.10.3.19172

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Combined Neural Network and Fuzzy Control for Maximum Power Point Tracking In Solar PV System

Keshaw Ram* , B. Chiranjeev Rao**, Raina Jain***

Ram, K., Rao, B. C., and Jain, R. (2022). Combined Neural Network and Fuzzy Control for Maximum Power Point Tracking in Solar PV System. i-manager’s Journal on Power Systems Engineering, 10(3), 17-24. https://doi.org/10.26634/jps.10.3.19159

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Solar Energy Applications for Agriculture: A Review

Manoj Khoja*

Department of Petroleum Engineering and Earth Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.

Khoja, M. (2022). Solar Energy Applications for Agriculture: A Review. i-manager’s Journal on Power Systems Engineering, 10(3), 25-32. https://doi.org/10.26634/jps.10.3.19031

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Scope of Hydrogen-Based Vehicles in India: A Review

Shaswat Kumar*

UPES, University in Dehradun, Uttarakhand, India

Kumar, S. (2022). Scope of Hydrogen-Based Vehicles in India: A Review. i-manager’s Journal on Power Systems Engineering, 10(3), 33-43. https://doi.org/10.26634/jps.10.3.19170

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* Department of Electrical Engineering, Dr Vithalrao Vikhe Patil College of Engineering, Ahmednagar, Maharashtra, India.

** Department of Electrical and Electronics, Mandsaur University, Mandsaur, Madhya Pradesh, India.

Sweta Pandey* , Surekha Bhusnur, Naushin Anjum*

Keshaw Ram* , B. Chiranjeev Rao, Raina Jain*