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Year 2020, , 381 - 404, 01.04.2020

M. Lotfihejrandoost A. Behbahanı Mehdi Ehyaei

https://doi.org/10.18186/thermal.712617
Cited By: 1

Abstract

References

  • [1] Ebadati M, Ehyaei MA. Reduction of energy consumption in residential buildings with green roofs in three different climates of Iran. Advances in Building Energy Research. 2020;14(1):66-93 10.1080/17512549.2018.1489894.
  • [2] Li ZX, Ehyaei MA, Kamran Kasmaei H, Ahmadi A, Costa V. Thermodynamic modeling of a novel solar powered quad generation system to meet electrical and thermal loads of residential building and syngas production. Energy Conversion and Management. 2019;199:111982 doi.org/10.1016/j.enconman.2019.
  • [3] Aynur TN. Variable refrigerant flow systems: A review. Energy and Buildings. 2010;42(7):1106-12 doi.org/10.016/j.enbuild.2010.01.024.
  • [4] Kwon L, Lee H, Hwang Y, Radermacher R, Kim B. Experimental investigation of multifunctional VRF system in heating and shoulder seasons. Applied Thermal Engineering. 2014;66(1-2):355-64 doi.org/10.1016/j.applthermaleng.2014.02.032.
  • [5] Zhu Y, Jin X, Du Z, Fan B, Fang X. Simulation of variable refrigerant flow air conditioning system in heating mode combined with outdoor air processing unit. Energy and Buildings. 2014;68:571-9 doi.org/10.1016/j.enbuild.2013.09.042.
  • [6] Meng J, Liu M, Zhang W, Cao R, Li Y, Zhang H, et al. Experimental investigation on cooling performance of multi-split variable refrigerant flow system with microchannel condenser under part load conditions. Applied Thermal Engineering. 2015;81:232-41 doi.org/10.1016/j.applthermaleng.2015.02.007.
  • [7] Yu X, Yan D, Sun K, Hong T, Zhu D. Comparative study of the cooling energy performance of variable refrigerant flow systems and variable air volume systems in office buildings. Applied energy. 2016;183:725-36 doi.org/10.1016/j.apenergy.2016.09.033.
  • [8] Kim D, Cox SJ, Cho H, Im P. Model calibration of a variable refrigerant flow system with a dedicated outdoor air system: A case study. Energy and Buildings. 2018;158:884-96 doi.org/10.1016/j.enbuild.2017.10.049.
  • [9] Kani-Sanchez C, Richman R. Incorporating variable refrigerant flow (VRF) heat pump systems in whole building energy simulation–Detailed case study using measured data. Journal of Building Engineering. 2017;12:314-24 doi.org/10.1016/j.jobe.2017.06.016.
  • [10] Li Z, Wang B, Li X, Shi W, Zhang S, Liu Y. Simulation of recombined household multi-split variable refrigerant flow system with split-type air conditioners. Applied Thermal Engineering. 2017;117:343-54 doi.org/10.1016/j.applthermaleng.2017.02.003.
  • [11] Koury R, Machado L, Ismail K. Numerical simulation of a variable speed refrigeration system. International journal of refrigeration. 2001;24(2):192-200 doi.org/10.1016/S0140-7007(00)00014-1.
  • [12] Winkler J, Aute V, Radermacher R. Comprehensive investigation of numerical methods in simulating a steady-state vapor compression system. International Journal of Refrigeration. 2008;31(5):930-42 doi.org/10.1016/j.ijrefrig.2007.08.008.
  • [13] Meissner JW, Abadie MO, Moura LM, Mendonça KC, Mendes N. Performance curves of room air conditioners for building energy simulation tools. Applied energy. 2014;129:243-52 doi.org/10.1016/j.apenergy.2014.04.094.
  • [14] Aliehyaei MA. OPTIMIZATION OF MICRO GAS TURBINE BY ECONOMIC, EXERGY AND ENVIRONMENT ANALYSIS USING GENETIC, BEE COLONY AND SEARCHING ALGORITHMS. Journal of Thermal Engineering. 2020;6(1):117-40 10.18186/thermal.672054.
  • [15] Yousefi M, Ehyaei MA, Rosen MA. Optimizing a New Configuration of a Proton Exchange Membrane Fuel Cell Cycle With Burner and Reformer Through a Particle Swarm Optimization Algorithm for Residential Applications. Journal of Electrochemical Energy Conversion and Storage. 2019;16(4):1-12 DOI:0.1115/1.4044812.
  • [16] Rajaei G, Atabi F, Ehyaei M. Feasibility of using biogas in a micro turbine for supplying heating, cooling and electricity for a small rural building. Advances in Energy Research. 2017;5(2):129-42 10.12989/eri.2017.5.2.000.
  • [17] Shamoushaki M, Ehyaei MA. Exergy, economic and environmental (3E) analysis of a gas turbine power plant and optimization by MOPSO algorithm. Thermal Science. 2018;22(6 Part A):2641-51 10.298/TSCI161011091S.
  • [18] Chegini S, Ehyaei MA. Economic, exergy, and the environmental analysis of the use of internal combustion engines in parallel-to-network mode for office buildings. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2018;40(9):433 10.1007/s40430-018-1349-4.
  • [19] Shaygan M, Ehyaei MA, Ahmadi A, Assad MEH, Silveira JL. Energy, exergy, advanced exergy and economic analyses of hybrid polymer electrolyte membrane (PEM) fuel cell and photovoltaic cells to produce hydrogen and electricity. Journal of Cleaner Production. 2019;234:1082-93 doi.org/10.16/j.jclepro.2019.06.298.
  • [20] Mozafari A, Ehyaei MA. Effects of Regeneration Heat Exchanger on Entropy, Electricity Cost, and Environmental Pollution Produced by Micro Gas Turbine System. International Journal of Green Energy. 2012;9(1):51-70 10.1080/15435075.2011.617021.
  • [21] Farshin B, Ehyaei M. Optimization of photovoltaic thermal (PV/T) hybrid collectors by genetic algorithm in Iran. Advances in Energy Research. 2017;5(1):31 http://dx.doi.org/10.12989/eri.2017.5.1.031 31.
  • [22] Yousefi M, Ehyaei MA. Feasibility study of using organic Rankine and reciprocating engine systems for supplying demand loads of a residential building. Advances in Building Energy Research. 2019;13(1):32-48 10.1080/17512549.2017.1354779.
  • [23] Ehyaei MA, Bahadori MN. Internalizing the Social Cost of Noise Pollution in the Cost Analysis of Electricity Generated by Wind Turbines. Wind Engineering. 2006;30(6):521-9 10.1260/030952406779994114.
  • [24] Shamoushaki M, Ghanatir F, Ehyaei M, Ahmadi A. Exergy and exergoeconomic analysis and multi-objective optimisation of gas turbine power plant by evolutionary algorithms. Case study: Aliabad Katoul power plant. International Journal of Exergy. 2017;22(3):279-307 10.1504/IJEX.2017.083160.
  • [25] Ehyaei MA, Ahmadi A, Rosen MA. Energy, exergy, economic and advanced and extended exergy analyses of a wind turbine. Energy Conversion and Management. 2019;183:369-81 doi.org/10.1016/j.enconman.2019.01.008.
  • [26] Ghasemian E, Ehyaei MA. Evaluation and optimization of organic Rankine cycle (ORC) with algorithms NSGA-II, MOPSO, and MOEA for eight coolant fluids. International Journal of Energy and Environmental Engineering. 2018;9(1):39-57 10.1007/s40095-017-0251-7.
  • [27] Asgari E, Ehyaei M. Exergy analysis and optimisation of a wind turbine using genetic and searching algorithms. International Journal of Exergy. 2015;16(3):293-314 10.1504/IJEX.2015.068228.
  • [28] Yazdi MRM, Aliehyaei M, Rosen MA. Exergy, economic and environmental analyses of gas turbine inlet air cooling with a heat pump using a novel system configuration. Sustainability. 2015;7(10):14259-86 10.3390/su71014259.
  • [29] Ehyaei MA, Rosen MA. Optimization of a triple cycle based on a solid oxide fuel cell and gas and steam cycles with a multiobjective genetic algorithm and energy, exergy and economic analyses. Energy Conversion and Management. 2019;180:689-708 10.1016/j.enconman.2018.11.023.
  • [30] Bejan A. Advanced engineering thermodynamics: John Wiley & Sons, 2016.
  • [31] Horngren CT, Foster G, Datar SM, Rajan M, Ittner C, Baldwin AA. Cost accounting: A managerial emphasis. Issues in Accounting Education. 2010;25(4):789-90.
  • [32] Ehyaei MA, Mozafari A. Energy, economic and environmental (3E) analysis of a micro gas turbine employed for on-site combined heat and power production. Energy and Buildings. 2010;42(2):259-64 doi.org/10.1016/j.enbuild.2009.09.001.
  • [33] Ehyaei MA, Ahmadi P, Atabi F, Heibati MR, Khorshidvand M. Feasibility study of applying internal combustion engines in residential buildings by exergy, economic and environmental analysis. Energy and Buildings. 2012;55:405-13 doi.org/10.1016/j.enbuild.2012.09.002.
  • [34] El-Sayed Y, Tribus M. A specific strategy for the improvement of process economics. Center for Advanced Engineering Study, MIT, Cambridge, MA, USA. 1982.
  • [35] Eiben AE, Raue P-E, Ruttkay Z. Genetic algorithms with multi-parent recombination. Conference Genetic algorithms with multi-parent recombination. Springer, p. 78-87.

OPTIMIZATION OF THE VARIABLE REFRIGERANT FLOW SYSTEMS BY USE OF GENETIC ALGORITHM AND ENERGY, EXERGY, AND ECONOMIC ANALYSIS FOR THREE COOLANT FLUIDS

Year 2020, , 381 - 404, 01.04.2020

M. Lotfihejrandoost A. Behbahanı Mehdi Ehyaei

https://doi.org/10.18186/thermal.712617
Cited By: 1

Abstract

The current study aimed at investigation of the Variable Refrigerant Flow (VRF). Energy, exergy, and economic model for R11, R22, and R134a refrigerants. The genetic algorithm was used for optimization of the cycle. The objective functions in the current study were the second law efficiency and cooling cost. The cooling cost was a new economic function that was defined in this paper for the first time. Results showed that the highest Coefficient of Performance (COP) and second law’s efficiency as well as the lowest cooling cost and exergy loss belonged to the refrigerant R134a, and second and third to it were R11 and R22. The optimum values of condenser pressure and evaporators 1, 2, and 3 for the refrigerant R134a were 799.7, 706.2, 925.2, and 23122 (kPa), and the mass discharge of the evaporators 1 and 2, was 0.1 and 0.072 (kg/s).

Keywords

Exergy Evaporator VRF COP Cost

References

  • [1] Ebadati M, Ehyaei MA. Reduction of energy consumption in residential buildings with green roofs in three different climates of Iran. Advances in Building Energy Research. 2020;14(1):66-93 10.1080/17512549.2018.1489894.
  • [2] Li ZX, Ehyaei MA, Kamran Kasmaei H, Ahmadi A, Costa V. Thermodynamic modeling of a novel solar powered quad generation system to meet electrical and thermal loads of residential building and syngas production. Energy Conversion and Management. 2019;199:111982 doi.org/10.1016/j.enconman.2019.
  • [3] Aynur TN. Variable refrigerant flow systems: A review. Energy and Buildings. 2010;42(7):1106-12 doi.org/10.016/j.enbuild.2010.01.024.
  • [4] Kwon L, Lee H, Hwang Y, Radermacher R, Kim B. Experimental investigation of multifunctional VRF system in heating and shoulder seasons. Applied Thermal Engineering. 2014;66(1-2):355-64 doi.org/10.1016/j.applthermaleng.2014.02.032.
  • [5] Zhu Y, Jin X, Du Z, Fan B, Fang X. Simulation of variable refrigerant flow air conditioning system in heating mode combined with outdoor air processing unit. Energy and Buildings. 2014;68:571-9 doi.org/10.1016/j.enbuild.2013.09.042.
  • [6] Meng J, Liu M, Zhang W, Cao R, Li Y, Zhang H, et al. Experimental investigation on cooling performance of multi-split variable refrigerant flow system with microchannel condenser under part load conditions. Applied Thermal Engineering. 2015;81:232-41 doi.org/10.1016/j.applthermaleng.2015.02.007.
  • [7] Yu X, Yan D, Sun K, Hong T, Zhu D. Comparative study of the cooling energy performance of variable refrigerant flow systems and variable air volume systems in office buildings. Applied energy. 2016;183:725-36 doi.org/10.1016/j.apenergy.2016.09.033.
  • [8] Kim D, Cox SJ, Cho H, Im P. Model calibration of a variable refrigerant flow system with a dedicated outdoor air system: A case study. Energy and Buildings. 2018;158:884-96 doi.org/10.1016/j.enbuild.2017.10.049.
  • [9] Kani-Sanchez C, Richman R. Incorporating variable refrigerant flow (VRF) heat pump systems in whole building energy simulation–Detailed case study using measured data. Journal of Building Engineering. 2017;12:314-24 doi.org/10.1016/j.jobe.2017.06.016.
  • [10] Li Z, Wang B, Li X, Shi W, Zhang S, Liu Y. Simulation of recombined household multi-split variable refrigerant flow system with split-type air conditioners. Applied Thermal Engineering. 2017;117:343-54 doi.org/10.1016/j.applthermaleng.2017.02.003.
  • [11] Koury R, Machado L, Ismail K. Numerical simulation of a variable speed refrigeration system. International journal of refrigeration. 2001;24(2):192-200 doi.org/10.1016/S0140-7007(00)00014-1.
  • [12] Winkler J, Aute V, Radermacher R. Comprehensive investigation of numerical methods in simulating a steady-state vapor compression system. International Journal of Refrigeration. 2008;31(5):930-42 doi.org/10.1016/j.ijrefrig.2007.08.008.
  • [13] Meissner JW, Abadie MO, Moura LM, Mendonça KC, Mendes N. Performance curves of room air conditioners for building energy simulation tools. Applied energy. 2014;129:243-52 doi.org/10.1016/j.apenergy.2014.04.094.
  • [14] Aliehyaei MA. OPTIMIZATION OF MICRO GAS TURBINE BY ECONOMIC, EXERGY AND ENVIRONMENT ANALYSIS USING GENETIC, BEE COLONY AND SEARCHING ALGORITHMS. Journal of Thermal Engineering. 2020;6(1):117-40 10.18186/thermal.672054.
  • [15] Yousefi M, Ehyaei MA, Rosen MA. Optimizing a New Configuration of a Proton Exchange Membrane Fuel Cell Cycle With Burner and Reformer Through a Particle Swarm Optimization Algorithm for Residential Applications. Journal of Electrochemical Energy Conversion and Storage. 2019;16(4):1-12 DOI:0.1115/1.4044812.
  • [16] Rajaei G, Atabi F, Ehyaei M. Feasibility of using biogas in a micro turbine for supplying heating, cooling and electricity for a small rural building. Advances in Energy Research. 2017;5(2):129-42 10.12989/eri.2017.5.2.000.
  • [17] Shamoushaki M, Ehyaei MA. Exergy, economic and environmental (3E) analysis of a gas turbine power plant and optimization by MOPSO algorithm. Thermal Science. 2018;22(6 Part A):2641-51 10.298/TSCI161011091S.
  • [18] Chegini S, Ehyaei MA. Economic, exergy, and the environmental analysis of the use of internal combustion engines in parallel-to-network mode for office buildings. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2018;40(9):433 10.1007/s40430-018-1349-4.
  • [19] Shaygan M, Ehyaei MA, Ahmadi A, Assad MEH, Silveira JL. Energy, exergy, advanced exergy and economic analyses of hybrid polymer electrolyte membrane (PEM) fuel cell and photovoltaic cells to produce hydrogen and electricity. Journal of Cleaner Production. 2019;234:1082-93 doi.org/10.16/j.jclepro.2019.06.298.
  • [20] Mozafari A, Ehyaei MA. Effects of Regeneration Heat Exchanger on Entropy, Electricity Cost, and Environmental Pollution Produced by Micro Gas Turbine System. International Journal of Green Energy. 2012;9(1):51-70 10.1080/15435075.2011.617021.
  • [21] Farshin B, Ehyaei M. Optimization of photovoltaic thermal (PV/T) hybrid collectors by genetic algorithm in Iran. Advances in Energy Research. 2017;5(1):31 http://dx.doi.org/10.12989/eri.2017.5.1.031 31.
  • [22] Yousefi M, Ehyaei MA. Feasibility study of using organic Rankine and reciprocating engine systems for supplying demand loads of a residential building. Advances in Building Energy Research. 2019;13(1):32-48 10.1080/17512549.2017.1354779.
  • [23] Ehyaei MA, Bahadori MN. Internalizing the Social Cost of Noise Pollution in the Cost Analysis of Electricity Generated by Wind Turbines. Wind Engineering. 2006;30(6):521-9 10.1260/030952406779994114.
  • [24] Shamoushaki M, Ghanatir F, Ehyaei M, Ahmadi A. Exergy and exergoeconomic analysis and multi-objective optimisation of gas turbine power plant by evolutionary algorithms. Case study: Aliabad Katoul power plant. International Journal of Exergy. 2017;22(3):279-307 10.1504/IJEX.2017.083160.
  • [25] Ehyaei MA, Ahmadi A, Rosen MA. Energy, exergy, economic and advanced and extended exergy analyses of a wind turbine. Energy Conversion and Management. 2019;183:369-81 doi.org/10.1016/j.enconman.2019.01.008.
  • [26] Ghasemian E, Ehyaei MA. Evaluation and optimization of organic Rankine cycle (ORC) with algorithms NSGA-II, MOPSO, and MOEA for eight coolant fluids. International Journal of Energy and Environmental Engineering. 2018;9(1):39-57 10.1007/s40095-017-0251-7.
  • [27] Asgari E, Ehyaei M. Exergy analysis and optimisation of a wind turbine using genetic and searching algorithms. International Journal of Exergy. 2015;16(3):293-314 10.1504/IJEX.2015.068228.
  • [28] Yazdi MRM, Aliehyaei M, Rosen MA. Exergy, economic and environmental analyses of gas turbine inlet air cooling with a heat pump using a novel system configuration. Sustainability. 2015;7(10):14259-86 10.3390/su71014259.
  • [29] Ehyaei MA, Rosen MA. Optimization of a triple cycle based on a solid oxide fuel cell and gas and steam cycles with a multiobjective genetic algorithm and energy, exergy and economic analyses. Energy Conversion and Management. 2019;180:689-708 10.1016/j.enconman.2018.11.023.
  • [30] Bejan A. Advanced engineering thermodynamics: John Wiley & Sons, 2016.
  • [31] Horngren CT, Foster G, Datar SM, Rajan M, Ittner C, Baldwin AA. Cost accounting: A managerial emphasis. Issues in Accounting Education. 2010;25(4):789-90.
  • [32] Ehyaei MA, Mozafari A. Energy, economic and environmental (3E) analysis of a micro gas turbine employed for on-site combined heat and power production. Energy and Buildings. 2010;42(2):259-64 doi.org/10.1016/j.enbuild.2009.09.001.
  • [33] Ehyaei MA, Ahmadi P, Atabi F, Heibati MR, Khorshidvand M. Feasibility study of applying internal combustion engines in residential buildings by exergy, economic and environmental analysis. Energy and Buildings. 2012;55:405-13 doi.org/10.1016/j.enbuild.2012.09.002.
  • [34] El-Sayed Y, Tribus M. A specific strategy for the improvement of process economics. Center for Advanced Engineering Study, MIT, Cambridge, MA, USA. 1982.
  • [35] Eiben AE, Raue P-E, Ruttkay Z. Genetic algorithms with multi-parent recombination. Conference Genetic algorithms with multi-parent recombination. Springer, p. 78-87.
There are 35 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

M. Lotfihejrandoost This is me

A. Behbahanı This is me

Mehdi Ehyaei This is me 0000-0002-0856-1262

Publication Date April 1, 2020
Submission Date April 8, 2018
Published in Issue Year 2020

Cite

APA Lotfihejrandoost, M., Behbahanı, A., & Ehyaei, M. (2020). OPTIMIZATION OF THE VARIABLE REFRIGERANT FLOW SYSTEMS BY USE OF GENETIC ALGORITHM AND ENERGY, EXERGY, AND ECONOMIC ANALYSIS FOR THREE COOLANT FLUIDS. Journal of Thermal Engineering, 6(3), 381-404. https://doi.org/10.18186/thermal.712617
AMA Lotfihejrandoost M, Behbahanı A, Ehyaei M. OPTIMIZATION OF THE VARIABLE REFRIGERANT FLOW SYSTEMS BY USE OF GENETIC ALGORITHM AND ENERGY, EXERGY, AND ECONOMIC ANALYSIS FOR THREE COOLANT FLUIDS. Journal of Thermal Engineering. April 2020;6(3):381-404. doi:10.18186/thermal.712617
Chicago Lotfihejrandoost, M., A. Behbahanı, and Mehdi Ehyaei. “OPTIMIZATION OF THE VARIABLE REFRIGERANT FLOW SYSTEMS BY USE OF GENETIC ALGORITHM AND ENERGY, EXERGY, AND ECONOMIC ANALYSIS FOR THREE COOLANT FLUIDS”. Journal of Thermal Engineering 6, no. 3 (April 2020): 381-404. https://doi.org/10.18186/thermal.712617.
EndNote Lotfihejrandoost M, Behbahanı A, Ehyaei M (April 1, 2020) OPTIMIZATION OF THE VARIABLE REFRIGERANT FLOW SYSTEMS BY USE OF GENETIC ALGORITHM AND ENERGY, EXERGY, AND ECONOMIC ANALYSIS FOR THREE COOLANT FLUIDS. Journal of Thermal Engineering 6 3 381–404.
IEEE M. Lotfihejrandoost, A. Behbahanı, and M. Ehyaei, “OPTIMIZATION OF THE VARIABLE REFRIGERANT FLOW SYSTEMS BY USE OF GENETIC ALGORITHM AND ENERGY, EXERGY, AND ECONOMIC ANALYSIS FOR THREE COOLANT FLUIDS”, Journal of Thermal Engineering, vol. 6, no. 3, pp. 381–404, 2020, doi: 10.18186/thermal.712617.
ISNAD Lotfihejrandoost, M. et al. “OPTIMIZATION OF THE VARIABLE REFRIGERANT FLOW SYSTEMS BY USE OF GENETIC ALGORITHM AND ENERGY, EXERGY, AND ECONOMIC ANALYSIS FOR THREE COOLANT FLUIDS”. Journal of Thermal Engineering 6/3 (April 2020), 381-404. https://doi.org/10.18186/thermal.712617.
JAMA Lotfihejrandoost M, Behbahanı A, Ehyaei M. OPTIMIZATION OF THE VARIABLE REFRIGERANT FLOW SYSTEMS BY USE OF GENETIC ALGORITHM AND ENERGY, EXERGY, AND ECONOMIC ANALYSIS FOR THREE COOLANT FLUIDS. Journal of Thermal Engineering. 2020;6:381–404.
MLA Lotfihejrandoost, M. et al. “OPTIMIZATION OF THE VARIABLE REFRIGERANT FLOW SYSTEMS BY USE OF GENETIC ALGORITHM AND ENERGY, EXERGY, AND ECONOMIC ANALYSIS FOR THREE COOLANT FLUIDS”. Journal of Thermal Engineering, vol. 6, no. 3, 2020, pp. 381-04, doi:10.18186/thermal.712617.
Vancouver Lotfihejrandoost M, Behbahanı A, Ehyaei M. OPTIMIZATION OF THE VARIABLE REFRIGERANT FLOW SYSTEMS BY USE OF GENETIC ALGORITHM AND ENERGY, EXERGY, AND ECONOMIC ANALYSIS FOR THREE COOLANT FLUIDS. Journal of Thermal Engineering. 2020;6(3):381-404.

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