Modeling of Combined Heat and Power Cycle based on Micro Gas Turbines using Biogas Fuel: an Investigation of Key Parameters | ||
| Renewable Energy Research and Applications | ||
| دوره 6، شماره 1، فروردین 2025، صفحه 83-91 اصل مقاله (633.46 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22044/rera.2024.15365.1371 | ||
| نویسندگان | ||
| Mowffaq Oreijah1؛ Hosam Faqeha1؛ Moaz Al-Lehaibi1؛ Kamel Guedri* 1؛ Sina Hassanlue2 | ||
| 1Mechanical Engineering Department, College of Engineering and Architecture, Umm Al-Qura University, Saudi Arabia. | ||
| 2Faculty of Aerospace Engineering, Amirkabir University of Technology, Tehran, Iran. | ||
| چکیده | ||
| Distributed electricity generation has been a long-standing focus for researchers and policymakers. With the global rise in electricity demand, various generation methods such as solar, wind, fuel cells, and internal combustion engines—are being implemented, each with distinct advantages and drawbacks. Micro gas turbines have emerged as a viable candidate for a reliable, cost-effective, and accessible energy production system. To enhance overall system efficiency, the heat produced from fuel combustion in these turbines can also be used to generate hot water. This study investigates micro gas turbines fueled by biogas, analyzing the effects of several critical parameters: Turbine Inlet Temperature (TIT), Compressor Pressure Ratio (CPR), and recuperator effectiveness within the cycle. The thermodynamic modeling uses the thermally perfect gas model and was conducted in EES (Engineering Equation Solver), with a selected commercial gas microturbine used for validation. Variable fluid thermodynamic properties are accounted for based on temperature, providing accuracy under diverse operational scenarios. It is found that to achieve the maximum overall efficiency, there is an optimal value for the CPR while it increases with increment in the TIT and recuperator effectiveness. | ||
| کلیدواژهها | ||
| Microturbine؛ Pressure Drop؛ Cogeneration؛ Biogas؛ Heat Recovery Unit | ||
| مراجع | ||
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[1] Amin TE, Roghayeh G, Fatemeh R, Fatollah P. Evaluation of Nanoparticle Shape Effect on a Nanofluid-based Flat-Plate Solar Collector Efficiency. Energy Exploration & Exploitation 2015;33:659–76. https://doi.org/10.1260/0144-5987.33.5.659.
[2] Dehghani Madvar M, Alhuyi Nazari M, Tabe Arjmand J, Aslani A, Ghasempour R, Ahmadi MH. Analysis of stakeholder roles and the challenges of solar energy utilization in Iran. International Journal of Low-Carbon Technologies 2018;13:438–51. https://doi.org/10.1093/ijlct/cty044.
[3] Etim PJ, Eke A Ben, Simonyan KJ. Design and development of an active indirect solar dryer for cooking banana. Sci Afr 2020;8:e00463. https://doi.org/10.1016/j.sciaf.2020.e00463.
[4] Hashim HM, ABED F. The Effect of Soil Depth on the Performance of Earth Air Heat Exchanger for Climatic Condition of Baghdad, Iraq: Mathematical and Numerical Study. Renewable Energy Research and Applications 2024. https://doi.org/10.22044/RERA.2024.13514.1245.
[5] Kamari ML, Isvand H, Nazari MA. Applications of Multi-Criteria Decision-Making (MCDM) Methods in Renewable Energy Development: A Review. Renewable Energy Research and Application 2020;1:47–54. https://doi.org/10.22044/RERA.2020.8541.1006.
[6] Energy Statistics Data Browser. IEA 2024. https://www.iea.org/data-and-statistics/data-tools/energy-statistics-data-browser?country=WORLD (accessed November 15, 2024).
[7] Shajahan MSM, Jamal DN, Mathew J, Ali Akbar AA, Sivakumar A, Shahul Hameed MS. Improvement in efficiency of thermal power plant using optimization and robust controller. Case Studies in Thermal Engineering 2022;33:101891. https://doi.org/10.1016/j.csite.2022.101891.
[8] Mandi RP, Yaragatti UR. Energy efficiency improvement of auxiliary power equipment in thermal power plant through operational optimization. 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), IEEE; 2012, p. 1–8. https://doi.org/10.1109/PEDES.2012.6484459.
[9] Pruitt KA, Braun RJ, Newman AM. Establishing conditions for the economic viability of fuel cell-based, combined heat and power distributed generation systems. Appl Energy 2013;111:904–20. https://doi.org/10.1016/J.APENERGY.2013.06.025.
[10] Hassanlue S, Mukhtar A, Yasir ASHM, Eldin SM, A. Nazari M, Ahmadi MH, et al. Sensitivity analysis and thermodynamic evaluation of a combined cooling, heating and power system utilizing exhaust gases of smelting furnace. Heliyon 2024;10:e26797. https://doi.org/10.1016/J.HELIYON.2024.E26797.
[11] Pruitt KA, Braun RJ, Newman AM. Evaluating shortfalls in mixed-integer programming approaches for the optimal design and dispatch of distributed generation systems. Appl Energy 2013;102:386–98. https://doi.org/10.1016/J.APENERGY.2012.07.030.
[12] Capstone Low Emissions MicroTurbine Technology. 2000.
[13] Caresana F, Pelagalli L, Comodi G, Renzi M. Microturbogas cogeneration systems for distributed generation: Effects of ambient temperature on global performance and components’ behavior. Appl Energy 2014;124:17–27. https://doi.org/10.1016/J.APENERGY.2014.02.075.
[14] Madhurjya Saikia, Pranjal Sarmah, Partha P Borthakur. A Review of Challenges to Adoption of Biodiesel as a Biesel Substitute in India. Renewable Energy Research and Applications 2024;5:221–7.
[15] WIERZBICKA A, LILLIEBLAD L, PAGELS J, STRAND M, GUDMUNDSSON A, GHARIBI A, et al. Particle emissions from district heating units operating on three commonly used biofuels. Atmos Environ 2005;39:139–50. https://doi.org/10.1016/j.atmosenv.2004.09.027.
[16] Elfasakhany A. Dual and Ternary Biofuel Blends for Desalination Process: Emissions and Heat Recovered Assessment. Energies (Basel) 2020;14:61. https://doi.org/10.3390/en14010061.
[17] Escudero M, Jiménez Á, González C, Nieto R, López I. Analysis of the behaviour of biofuel-fired gas turbine power plants. Thermal Science 2012;16:849–64. https://doi.org/10.2298/TSCI120216131E.
[18] Devi B, S. V, Vimal R, T.R. P. Influence of high oxygenated biofuels on micro-gas turbine engine for reduced emission. Aircraft Engineering and Aerospace Technology 2021;93:508–13. https://doi.org/10.1108/AEAT-07-2020-0150.
[19] Kaushik SC, Reddy VS, Tyagi SK. Energy and exergy analyses of thermal power plants: A review. Renewable and Sustainable Energy Reviews 2011;15:1857–72. https://doi.org/10.1016/J.RSER.2010.12.007.
[20] Deshmukh MK, Deshmukh SS. Modeling of hybrid renewable energy systems. Renewable and Sustainable Energy Reviews 2008;12:235–49. https://doi.org/10.1016/J.RSER.2006.07.011.
[21] Fong KF, Lee CK. Biofuel-driven trigeneration systems for non-residential building applications: A holistic assessment from the energy, environmental and economic perspectives. Build Simul 2023;16:557–76. https://doi.org/10.1007/s12273-022-0958-0.
[22] Banjac M, Milic S, Petrovic M V. A Simple Model for Thermodynamic Properties of Air and Combustion Gases for Educational Purposes. Proceedings of the ASME Turbo Expo 2016;6. https://doi.org/10.1115/GT2016-57601.
[23] Xuan J, Leung MKH, Leung DYC, Ni M. A review of biomass-derived fuel processors for fuel cell systems. Renewable and Sustainable Energy Reviews 2009;13:1301–13. https://doi.org/10.1016/j.rser.2008.09.027.
[24] Komiyama M, Misonou T, Takeuchi S, Umetsu K, Takahashi J. Biogas as a reproducible energy source: Its steam reforming for electricity generation and for farm machine fuel. Int Congr Ser 2006;1293:234–7. https://doi.org/10.1016/j.ics.2006.03.008.
[25] Turbec T100 Microturbine. NewEnCo 2016. https://www.newenco.co.uk/combined-heat-power/turbec-t100-microturbine (accessed August 16, 2016).
[26] Baghban A, Kahani M, Nazari MA, Ahmadi MH, Yan W-M. Sensitivity analysis and application of machine learning methods to predict the heat transfer performance of CNT/water nanofluid flows through coils. Int J Heat Mass Transf 2019;128:825–35. https://doi.org/10.1016/j.ijheatmasstransfer.2018.09.041.
[27] Dossumbekov YK, Zhakiyev N, Nazari MA, Salem M, Abdikadyr B. Sensitivity analysis and performance prediction of a micro plate heat exchanger by use of intelligent approaches. International Journal of Thermofluids 2024;22:100601. https://doi.org/10.1016/j.ijft.2024.100601.
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