THERMAL SCIENCE

International Scientific Journal

Thermal Science - Online First

online first only

Thermo-economic analysis and optimization of the steam absorption chiller network plant

ABSTRACT
Absorption chillers are one of the most used equipment in industrial, commercial, and domestic applications. For the places where high cooling is required, they are utilized in a network to perform the cooling demand. The main objective of the current study was to find the optimum operating conditions of a network of steam absorption chillers according to energy and economic viewpoints. Firstly, energy and economic analysis and modeling of the absorption chiller network were carried out to have a deep understanding of the network and investigate the effects of operating conditions. Finally, the particle swarm optimization search algorithm was employed to find an optimum levelized total costs of the plant. The absorption chiller network plant of the Marun Petrochemical Complex in Iran was selected as a case study. To verify the simulation results, the outputs of energy modeling were compared with the measured values. The comparison with experimental results indicated that the developed model could predict the working condition of the absorption chiller network with high accuracy. The economic analysis results revealed that the levelized total costs of the plant is 1730 $/kW and the payback period is three years. The optimization findings indicated that working at optimal conditions reduces the levelized total costs of the plant by 8.5%, compared to the design condition.
KEYWORDS
PAPER SUBMITTED: 2020-06-19
PAPER REVISED: 2020-12-05
PAPER ACCEPTED: 2020-12-10
PUBLISHED ONLINE: 2021-02-06
DOI REFERENCE: https://doi.org/10.2298/TSCI200619058P
REFERENCES
  1. Ochoa, A.A.V., et al., The influence of the overall heat transfer coefficients in the dynamic behavior of a single effect absorption chiller using the pair LiBr/H2O, Energy Conversion and Management, 136. (2017), pp.270-282
  2. Sheykhi, M., et al., Performance investigation of a combined heat and power system with internal and external combustion engines, Energy Conversion Management, 185. (2019), pp.291-303
  3. Ochoa, A.A.V., et al., Dynamic experimental analysis of a LiBr/H2O single effect absorption chiller with nominal capacity of 35 kW of cooling, Acta Scientiarum Technology, 41. (2019), pp.1-11
  4. Labus, J. M., et al., Review on absorption technology with emphasis on small capacity absorption machines, Thermal Science, 17. (2013), pp.739-762
  5. Ochoa, A.A.V., et al., Dynamic study of a single effect absorption chiller using the pair LiBr/H2O, Energy Conversion and Management, 108. (2016), pp.30-42
  6. Kumar, B., et al., Thermodynamic analysis of a single effect lithium bromide water absorption system using waste heat in sugar industry, Thermal Science, 22. (2018), pp.507-517
  7. Buonomano, A., et al., A dynamic model of an innovative high-temperature solar heating and cooling system, Thermal Science, 20. (2016), pp. 1121-33
  8. Gao, G., et al., The study of a seasonal solar CCHP system based on evacuated flat plate collectors and organic Rankine cycle, Thermal Science, 24. (2020), pp. 915-24
  9. Panahizadeh, F., et al., Numerical study on heat and mass transfer behavior of pool boiling in LiBr/H2O absorption chiller generator considering different tube surfaces, Thermal Science, (2020), pp. 204-217
  10. Zhou, J., et al., Simulation analysis of performance optimization of gas-driven ammonia water absorption heat pump, Thermal Science, 24. (2020), pp. 63-75
  11. Agboola, P., et al., Thermo-economic performance of inclined solar water distillation systems, Thermal Science, 19. (2015), pp. S557-570
  12. Fazeli, A., et al., Thermodynamic analysis and simulation of a new combined power and refrigeration cycle using artificial neural network, Thermal Science, 15. (2011), pp. 29-41
  13. Mohammadi, Z., et al., Advanced exergy analysis of recompression supercritical CO2 cycle, Energy, 178. (2019), pp. 1-12
  14. Alcantara, S.C.S., et al., Natural gas based trigeneration system proposal to an ice cream factory: An energetic and economic assessment. Energy Conversion and Management, 197. (2019), pp.111860
  15. Mancic, M.V., et al., Techno-economic optimization of configuration and capacity of a polygeneration system for the energy demands of a public swimming pool building, Thermal Science, 22. (2018), pp. S1535-S1549
  16. Silva, H.C.N., et al., Modeling and simulation of cogeneration systems for buildings on a university campus in north east Brazil - a case study, Energy Conversion and Management, 186. (2019), pp.334-348
  17. Ochoa, A.A.V., et al., Techno-economic and exergoeconomic analysis of a micro cogeneration system for a residential use, Acta Scientiarum Technology, 38. (2016), pp. 327-338
  18. Cardoso, J., et al., Techno-economic analysis of olive pomace gasification for cogeneration applications in small facilities, Thermal Science, 23. (2019), pp. S1487-1498
  19. Souza, R.J., et al., Proposal and 3E (energy, exergy, and exergoeconomic) assessment of a cogeneration system using an organic Rankine cycle and an absorption refrigeration system in the north east Brazil: Thermodynamic investigation of a facility case study, Energy conversion and Management, 217. (2020), pp.113002
  20. Ebrahimi-Moghadam, A., et al., Proposal and assessment of a novel combined heat and power system: energy, exergy, environmental and economic analysis, Energy Conversion and Management, 204. (2020), pp.112307
  21. Ebrahimi-Moghadam, A., et al., Comprehensive techno-economic and environmental sensitivity analysis and multi-objective optimization of a novel heat and power system for natural gas city gate stations, Journal of Cleaner Production, 262. (2020), pp.121261
  22. Mancic, M.V., et al., Optimization of a polygeneration system for energy demands of a livestock farm, Thermal Science, 20. (2016), pp. S1285-S1300
  23. P. Zadeh, M., Thermo-economic-environmental optimization of a micro turbine using genetic algorithm, Thermal Science, 19. (2015), pp. 475-487
  24. Shamoushaki, M., Exergy, economic and environmental (3E) analysis of a gas turbine power plant and optimization by MOPSO algorithm, Thermal Science, 22. (2018), pp. 2641-2651
  25. Yang, Y., et al., Optimal design of distributed energy resource systems under large-scale uncertainties in energy demands based on decision making theory, Thermal Science, 23. (2019), pp. 873-882
  26. Panahizadeh, F., et al., Energy, exergy, economic analysis and optimization of single‑effect absorption chiller network, Journal of Thermal Analysis and Calorimetry, 140. (2020), pp. 1-31
  27. D.Vuckovic, G., et al., Avoidable and unavoidable exergy destruction and exergoeconomic evaluation of the thermal processes in a real industrial plant, Thermal Science, 16. (2012), pp. S433-446
  28. Wall, G., Optimization of refrigeration machinery, International journal of refrigeration, (1991), pp. 1-14
  29. Packman boiler manufactory, Iran, Esfahan, www.packmangroup.com
  30. Iran natural gas price, URL: mgd.nigc.ir/
  31. Iranian central bank. URL: www.cbi.ir/
  32. Monoethylene glycol (MEG) price. URL: www.eranico.com
  33. Noorpoor, A.R. and Nazari kudahi, S., CO2 emissions from Iran's power sector and analysis of the influencing factors using the stochastic impacts by regression on population, affluence and technology (STIRPAT) model, Carbon Management, (2015), pp. 101-116
  34. Jannatabadi, M., et al., District cooling systems in Iranian energy matrix, a techno-economic analysis of a reliable solution for a serious challenge, Energy, 214. (2020), pp. 1-13
  35. Fabricius, M., et al., Utilization of excess production of waste fired CHP plants for district cooling supply, an effective solution for a serious challenge, Energies, 13. (2020), pp. 1-20
  36. Bhatia, A., Overview of vapor absorption cooling systems course no: M04-025