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Performance comparison and investigation of two different renewable energy fueled multigeneration systems

Year 2021, Volume: 7 Issue: 5, 1039 - 1055, 01.07.2021
https://doi.org/10.18186/thermal.977707

Abstract

In this study, the comprehensive thermodynamic, exergoeconomic and environmental per-formance of two multigeneration systemsfuelled by biomass and solar energy is surveyed. The multigeneration system A utilizes municipal solid waste and solar energy to produce power, heating, cooling, fresh water, and hydrogen which is considered to be located in the north of Iran with a moderate climate. Whereas, the multigeneration system B consumes bagasse and solar energy to supply power, heating, cooling, liquefied natural gas, and freshwater which is assumed to be located in the south of Iran with a hot climate. The results of the study show thatsystem B provides better performance from a thermodynamic viewpoint with energy and exergy efficiencies of 82.45% and 15.75%. Moreover, according to the outputs of exergoeco-nomic modelling, system B presents better performance because of lower capital costs. Finally, environmental profit is attained by accomplishing system B because of avoiding 1.14 million tons of NOx and 0.31 million tons of CO2 depletion to the atmosphere per year. In the end, through conducting a parametric study, the effect of key parameters on the thermodynamic, economic, and environmental performances of two systems is discussed.

References

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  • [5] Al Moussawi H, Fardoun F, Louahlia-Gualous H. Review of tri-generation technologies: Design evaluation, optimization, decision-making, and selection approach. Energy Convers Manag 2016; 120: 157-196. doi: https://doi.org/10.1016/j.enconman.2016.04.085.
  • [6] Bellos E, Tzivanidis C. Parametric analysis and optimization of a solar driven trigeneration system based on ORC and absorption heat pump. J Clean Prod 2017; 161: 493-509. doi: https://doi.org/10.1016/j.jclepro.2017.05.159.
  • [7] Khanmohammadi S, Heidarnejad P, Javani N, Ganjehsarabi H. Exergoeconomic analysis and multi objective optimization of a solar based integrated energy system for hydrogen production. Int J Hydrog Energy 2017; 42(33): 21443-21453. doi: https://doi.org/10.1016/j.ijhydene.2017.02.105.
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  • [10] Ganjehsarabi H, Asker M, Seyhan AK, editors. Energy and exergy analyses of a solar assisted combined power and cooling cycle. 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA); 2016 20-23 Nov. 2016; Birmingham.
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  • [12] Bellos E, Tzivanidis C. Multi-objective optimization of a solar driven trigeneration system. Energy 2018; 149: 47-62. doi: https://doi.org/10.1016/j.energy.2018.02.054.
  • [13] Boyaghchi FA, Chavoshi M, Sabeti V. Multi-generation system incorporated with PEM electrolyzer and dual ORC based on biomass gasification waste heat recovery: Exergetic, economic and environmental impact optimizations. Energy 2018; 145: 38-51. doi: https://doi.org/10.1016/j.energy.2017.12.118.
  • [14] Ghasemi A, Heidarnejad P, Noorpoor A. A novel solar-biomass based multi-generation energy system including water desalination and liquefaction of natural gas system: Thermodynamic and thermoeconomic optimization. J Clean Prod 2018; 196: 424-437. doi: https://doi.org/10.1016/j.jclepro.2018.05.160.
  • [15] Khanmohammadi S, Atashkari K. Modeling and multi-objective optimization of a novel biomass feed polygeneration system integrated with multi effect desalination unit. Therm Sci Eng Prog 2018; 8: 269-283. doi: https://doi.org/10.1016/j.tsep.2018.08.003.
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  • [18] Nalbant Y, Colpan CO, Devrim Y. Energy and exergy performance assessments of a high temperature-proton exchange membrane fuel cell based integrated cogeneration system. Int J Hydrog Energy 2019. doi: https://doi.org/10.1016/j.ijhydene.2019.01.252.
  • [19] Ganjehsarabi H. Mixed refrigerant as working fluid in Organic Rankine Cycle for hydrogen production driven by geothermal energy. Int J Hydrog Energy 2019; 44(34): 18703-18711. doi: https://doi.org/10.1016/j.ijhydene.2018.11.231.
  • [20] Mateus T, Oliveira AC. Energy and economic analysis of an integrated solar absorption cooling and heating system in different building types and climates. Appl Energy 2009; 86(6): 949-957. doi: https://doi.org/10.1016/j.apenergy.2008.09.005.
  • [21] Jiang-Jiang W, Chun-Fa Z, You-Yin J. Multi-criteria analysis of combined cooling, heating and power systems in different climate zones in China. Appl Energy 2010; 87(4): 1247-1259. doi: https://doi.org/10.1016/j.apenergy.2009.06.027.
  • [22] Sigarchian SG, Malmquist A, Martin V. Design Optimization of a Small-Scale Polygeneration Energy System in Different Climate Zones in Iran. Energies 2018; 11(5): 1-19. doi: https://doi.org/10.3390/en11051115.
  • [23] Heidarnejad P, Noorpoor A, Dincer I. Chapter 2.19 - Thermodynamic and Thermoeconomic Comparisons of Two Trigeneration Systems. In: Dincer I, Colpan CO, Kizilkan O, editors. Exergetic, Energetic and Environmental Dimensions: Academic Press; 2018. p. 551-567.
  • [24] Doseva N, Chakyrova D. Energy and Exergy Analysis of Cogeration System with Biogas Engines. Journal of Thermal Engineering 2015; 1(3): 391-401. doi: 10.18186/jte.75021.
  • [25] Chakyrova D, Doseva N. Thermoeconomic Analysis of Biogas Engines Powered Cogeneration System. Journal of Thermal Engineering 2019; 5(2): 93-107. doi: 10.18186/thermal.532210.
  • [26] Klein SA. Engineering Equation Solver (EES). from https://https://fchart.com/ees/; 2013.
  • [27] Frangopoulos CA. Exergy, Energy System Analysis and Optimization-Volume I: Exergy and Thermodynamic Analysis. UK: EOLSS Publications, 2009.
  • [28] NASA Surface meteorology and Solar Energy. 2013. Available from: https://eosweb.larc.nasa.gov/cgi-bin/sse/daily.cgi/.
  • [29] Bejan A, Tsatsaronis G, Moran M. Thermal design and optimization. Canada: John Wiley & Sons Inc., 1996.
  • [30] Frangopoulos CA. Exergy, Energy System Analysis and Optimization-Volume II: Thermoeconomic Analysis, Modeling, Simulation and Optimization in Energy Systems. UK: EOLSS Publications, 2009.
  • [31] Hugot E. Handbook of cane sugar engineering. USA: Elsevier, 2014.
  • [32] Tchobanoglous G, Theisen H, Vigil S. Integrated solid waste management: engineering principles and management issues. 2nd ed. USA: McGraw Hill, 1993.
  • [33] Compilation of air pollutant emission factors 1: Stationary Point and Area Sources Chapter 3: Stationary Internal Combustion Sources, AP-42. New York: EPA, 1979.
  • [34] EPA. Compilation of air pollutant emission factors. New York: Environmental Protection Agency, 1979.
  • [35] AP-42, Compilation of air pollutant emission factors, Volume 1: Stationary Point and Area Sources Chapter 2: Solid Waste Disposal New York: EPA, 1979.
  • [36] Emission Factor for Greenhouse Gas Inventories. 2018. Available from: https://epa.gov/sites/production/files/2018-03/documents/emission-factors_mar_2018_0.pdf.
  • [37] Bernt J. Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories: Emissions from Waste Incineration. Montreal: IPCC, 2000.
  • [38] Ioroi T, Yasuda K, Siroma Z, Fujiwara N, Miyazaki Y. Thin film electrocatalyst layer for unitized regenerative polymer electrolyte fuel cells. Journal of Power sources 2002; 112(2): 583-587. doi.
  • [39] Al-Sulaiman FA. Exergy analysis of parabolic trough solar collectors integrated with combined steam and organic Rankine cycles. Energy Convers Manag 2014; 77: 441-449. doi.
  • [40] Cengel AY, Boles MA. Thermodynamics: An engineering approach. New York: McGraw Hill, 2008.
  • [41] Kalogirou S. solar energy engineering: processes and systems. UK: Elsevier, 2009.
  • [42] Dincer I. Refrigeration systems and applications. UK: John Wiley & Sons, 2017.
  • [43] Ni M, Leung MK, Leung DY. Energy and exergy analysis of hydrogen production by a proton exchange membrane (PEM) electrolyzer plant. Energy Convers Manag 2008; 49(10): 2748-2756. doi: https://doi.org/10.1016/j.enconman.2008.03.018.
  • [44] Gurau V, Barbir F, Liu H. An analytical solution of a half‐cell Model for PEM fuel cells. J Electrochem Soc 2000; 147(7): 2468-2477. doi: https://doi:10.1149/1.1393555.
  • [45] Kotas TJ. The exergy method of thermal plant analysis. Reprint ed. Malabar, Fla.: Krieger Pub., 1995.
Year 2021, Volume: 7 Issue: 5, 1039 - 1055, 01.07.2021
https://doi.org/10.18186/thermal.977707

Abstract

References

  • [1] Boyaghchi FA, Heidarnejad P. Thermoeconomic assessment and multi objective optimization of a solar micro CCHP based on Organic Rankine Cycle for domestic application. Energy Convers Manag 2015; 97: 224-234. doi: https://doi.org/10.1016/j.enconman.2015.03.036.
  • [2] Jana K, De S. Sustainable polygeneration design and assessment through combined thermodynamic, economic and environmental analysis. Energy 2015; 91: 540-555. doi: https://doi.org/10.1016/j.energy.2015.08.062.
  • [3] Caliskan H. Thermodynamic and environmental analyses of biomass, solar and electrical energy options based building heating applications. Renew Sustainable Energy Rev 2015; 43: 1016-1034. doi: https://doi.org/10.1016/j.rser.2014.11.094.
  • [4] Noorpoor A, Heidarnejad P, Hashemian N, Ghasemi A. A thermodynamic model for exergetic performance and optimization of a solar and biomass-fuelled multigeneration system. Energy Equip Syst 2016; 4(2): 281-289. doi: https://10.22059/ees.2016.23044.
  • [5] Al Moussawi H, Fardoun F, Louahlia-Gualous H. Review of tri-generation technologies: Design evaluation, optimization, decision-making, and selection approach. Energy Convers Manag 2016; 120: 157-196. doi: https://doi.org/10.1016/j.enconman.2016.04.085.
  • [6] Bellos E, Tzivanidis C. Parametric analysis and optimization of a solar driven trigeneration system based on ORC and absorption heat pump. J Clean Prod 2017; 161: 493-509. doi: https://doi.org/10.1016/j.jclepro.2017.05.159.
  • [7] Khanmohammadi S, Heidarnejad P, Javani N, Ganjehsarabi H. Exergoeconomic analysis and multi objective optimization of a solar based integrated energy system for hydrogen production. Int J Hydrog Energy 2017; 42(33): 21443-21453. doi: https://doi.org/10.1016/j.ijhydene.2017.02.105.
  • [8] Di Somma M, Yan B, Bianco N, Graditi G, Luh PB, Mongibello L, et al. Multi-objective design optimization of distributed energy systems through cost and exergy assessments. Appl Energy 2017; 204: 1299-1316. doi: https://doi.org/10.1016/j.apenergy.2017.03.105.
  • [9] Calise F, Macaluso A, Piacentino A, Vanoli L. A novel hybrid polygeneration system supplying energy and desalinated water by renewable sources in Pantelleria Island. Energy 2017; 137: 1086-1106. doi: https://doi.org/10.1016/j.energy.2017.03.165.
  • [10] Ganjehsarabi H, Asker M, Seyhan AK, editors. Energy and exergy analyses of a solar assisted combined power and cooling cycle. 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA); 2016 20-23 Nov. 2016; Birmingham.
  • [11] Sahoo U, Kumar R, Pant P, Chaudhary R. Development of an innovative polygeneration process in hybrid solar-biomass system for combined power, cooling and desalination. Appl Therm Eng 2017; 120: 560-567. doi: https://doi.org/10.1016/j.applthermaleng.2017.04.034.
  • [12] Bellos E, Tzivanidis C. Multi-objective optimization of a solar driven trigeneration system. Energy 2018; 149: 47-62. doi: https://doi.org/10.1016/j.energy.2018.02.054.
  • [13] Boyaghchi FA, Chavoshi M, Sabeti V. Multi-generation system incorporated with PEM electrolyzer and dual ORC based on biomass gasification waste heat recovery: Exergetic, economic and environmental impact optimizations. Energy 2018; 145: 38-51. doi: https://doi.org/10.1016/j.energy.2017.12.118.
  • [14] Ghasemi A, Heidarnejad P, Noorpoor A. A novel solar-biomass based multi-generation energy system including water desalination and liquefaction of natural gas system: Thermodynamic and thermoeconomic optimization. J Clean Prod 2018; 196: 424-437. doi: https://doi.org/10.1016/j.jclepro.2018.05.160.
  • [15] Khanmohammadi S, Atashkari K. Modeling and multi-objective optimization of a novel biomass feed polygeneration system integrated with multi effect desalination unit. Therm Sci Eng Prog 2018; 8: 269-283. doi: https://doi.org/10.1016/j.tsep.2018.08.003.
  • [16] Yilmaz F. Thermodynamic performance evaluation of a novel solar energy based multigeneration system. Appl Therm Eng 2018; 143: 429-437. doi: https://doi.org/10.1016/j.applthermaleng.2018.07.125.
  • [17] Wang Y, Wang X, Yu H, Huang Y, Dong H, Qi C, et al. Optimal Design of Integrated Energy System Considering Economics, Autonomy and Carbon Emissions. J Clean Prod 2019. doi: https://doi.org/10.1016/j.jclepro.2019.03.025.
  • [18] Nalbant Y, Colpan CO, Devrim Y. Energy and exergy performance assessments of a high temperature-proton exchange membrane fuel cell based integrated cogeneration system. Int J Hydrog Energy 2019. doi: https://doi.org/10.1016/j.ijhydene.2019.01.252.
  • [19] Ganjehsarabi H. Mixed refrigerant as working fluid in Organic Rankine Cycle for hydrogen production driven by geothermal energy. Int J Hydrog Energy 2019; 44(34): 18703-18711. doi: https://doi.org/10.1016/j.ijhydene.2018.11.231.
  • [20] Mateus T, Oliveira AC. Energy and economic analysis of an integrated solar absorption cooling and heating system in different building types and climates. Appl Energy 2009; 86(6): 949-957. doi: https://doi.org/10.1016/j.apenergy.2008.09.005.
  • [21] Jiang-Jiang W, Chun-Fa Z, You-Yin J. Multi-criteria analysis of combined cooling, heating and power systems in different climate zones in China. Appl Energy 2010; 87(4): 1247-1259. doi: https://doi.org/10.1016/j.apenergy.2009.06.027.
  • [22] Sigarchian SG, Malmquist A, Martin V. Design Optimization of a Small-Scale Polygeneration Energy System in Different Climate Zones in Iran. Energies 2018; 11(5): 1-19. doi: https://doi.org/10.3390/en11051115.
  • [23] Heidarnejad P, Noorpoor A, Dincer I. Chapter 2.19 - Thermodynamic and Thermoeconomic Comparisons of Two Trigeneration Systems. In: Dincer I, Colpan CO, Kizilkan O, editors. Exergetic, Energetic and Environmental Dimensions: Academic Press; 2018. p. 551-567.
  • [24] Doseva N, Chakyrova D. Energy and Exergy Analysis of Cogeration System with Biogas Engines. Journal of Thermal Engineering 2015; 1(3): 391-401. doi: 10.18186/jte.75021.
  • [25] Chakyrova D, Doseva N. Thermoeconomic Analysis of Biogas Engines Powered Cogeneration System. Journal of Thermal Engineering 2019; 5(2): 93-107. doi: 10.18186/thermal.532210.
  • [26] Klein SA. Engineering Equation Solver (EES). from https://https://fchart.com/ees/; 2013.
  • [27] Frangopoulos CA. Exergy, Energy System Analysis and Optimization-Volume I: Exergy and Thermodynamic Analysis. UK: EOLSS Publications, 2009.
  • [28] NASA Surface meteorology and Solar Energy. 2013. Available from: https://eosweb.larc.nasa.gov/cgi-bin/sse/daily.cgi/.
  • [29] Bejan A, Tsatsaronis G, Moran M. Thermal design and optimization. Canada: John Wiley & Sons Inc., 1996.
  • [30] Frangopoulos CA. Exergy, Energy System Analysis and Optimization-Volume II: Thermoeconomic Analysis, Modeling, Simulation and Optimization in Energy Systems. UK: EOLSS Publications, 2009.
  • [31] Hugot E. Handbook of cane sugar engineering. USA: Elsevier, 2014.
  • [32] Tchobanoglous G, Theisen H, Vigil S. Integrated solid waste management: engineering principles and management issues. 2nd ed. USA: McGraw Hill, 1993.
  • [33] Compilation of air pollutant emission factors 1: Stationary Point and Area Sources Chapter 3: Stationary Internal Combustion Sources, AP-42. New York: EPA, 1979.
  • [34] EPA. Compilation of air pollutant emission factors. New York: Environmental Protection Agency, 1979.
  • [35] AP-42, Compilation of air pollutant emission factors, Volume 1: Stationary Point and Area Sources Chapter 2: Solid Waste Disposal New York: EPA, 1979.
  • [36] Emission Factor for Greenhouse Gas Inventories. 2018. Available from: https://epa.gov/sites/production/files/2018-03/documents/emission-factors_mar_2018_0.pdf.
  • [37] Bernt J. Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories: Emissions from Waste Incineration. Montreal: IPCC, 2000.
  • [38] Ioroi T, Yasuda K, Siroma Z, Fujiwara N, Miyazaki Y. Thin film electrocatalyst layer for unitized regenerative polymer electrolyte fuel cells. Journal of Power sources 2002; 112(2): 583-587. doi.
  • [39] Al-Sulaiman FA. Exergy analysis of parabolic trough solar collectors integrated with combined steam and organic Rankine cycles. Energy Convers Manag 2014; 77: 441-449. doi.
  • [40] Cengel AY, Boles MA. Thermodynamics: An engineering approach. New York: McGraw Hill, 2008.
  • [41] Kalogirou S. solar energy engineering: processes and systems. UK: Elsevier, 2009.
  • [42] Dincer I. Refrigeration systems and applications. UK: John Wiley & Sons, 2017.
  • [43] Ni M, Leung MK, Leung DY. Energy and exergy analysis of hydrogen production by a proton exchange membrane (PEM) electrolyzer plant. Energy Convers Manag 2008; 49(10): 2748-2756. doi: https://doi.org/10.1016/j.enconman.2008.03.018.
  • [44] Gurau V, Barbir F, Liu H. An analytical solution of a half‐cell Model for PEM fuel cells. J Electrochem Soc 2000; 147(7): 2468-2477. doi: https://doi:10.1149/1.1393555.
  • [45] Kotas TJ. The exergy method of thermal plant analysis. Reprint ed. Malabar, Fla.: Krieger Pub., 1995.
There are 45 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Parisa Heıdarnejad This is me 0000-0003-4294-1290

Alireza Noorpoor This is me 0000-0002-8585-8852

Publication Date July 1, 2021
Submission Date May 22, 2019
Published in Issue Year 2021 Volume: 7 Issue: 5

Cite

APA Heıdarnejad, P., & Noorpoor, A. (2021). Performance comparison and investigation of two different renewable energy fueled multigeneration systems. Journal of Thermal Engineering, 7(5), 1039-1055. https://doi.org/10.18186/thermal.977707
AMA Heıdarnejad P, Noorpoor A. Performance comparison and investigation of two different renewable energy fueled multigeneration systems. Journal of Thermal Engineering. July 2021;7(5):1039-1055. doi:10.18186/thermal.977707
Chicago Heıdarnejad, Parisa, and Alireza Noorpoor. “Performance Comparison and Investigation of Two Different Renewable Energy Fueled Multigeneration Systems”. Journal of Thermal Engineering 7, no. 5 (July 2021): 1039-55. https://doi.org/10.18186/thermal.977707.
EndNote Heıdarnejad P, Noorpoor A (July 1, 2021) Performance comparison and investigation of two different renewable energy fueled multigeneration systems. Journal of Thermal Engineering 7 5 1039–1055.
IEEE P. Heıdarnejad and A. Noorpoor, “Performance comparison and investigation of two different renewable energy fueled multigeneration systems”, Journal of Thermal Engineering, vol. 7, no. 5, pp. 1039–1055, 2021, doi: 10.18186/thermal.977707.
ISNAD Heıdarnejad, Parisa - Noorpoor, Alireza. “Performance Comparison and Investigation of Two Different Renewable Energy Fueled Multigeneration Systems”. Journal of Thermal Engineering 7/5 (July 2021), 1039-1055. https://doi.org/10.18186/thermal.977707.
JAMA Heıdarnejad P, Noorpoor A. Performance comparison and investigation of two different renewable energy fueled multigeneration systems. Journal of Thermal Engineering. 2021;7:1039–1055.
MLA Heıdarnejad, Parisa and Alireza Noorpoor. “Performance Comparison and Investigation of Two Different Renewable Energy Fueled Multigeneration Systems”. Journal of Thermal Engineering, vol. 7, no. 5, 2021, pp. 1039-55, doi:10.18186/thermal.977707.
Vancouver Heıdarnejad P, Noorpoor A. Performance comparison and investigation of two different renewable energy fueled multigeneration systems. Journal of Thermal Engineering. 2021;7(5):1039-55.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK http://eds.yildiz.edu.tr/journal-of-thermal-engineering