A new computational tool for the development of advanced exergy analysis and LCA on single effect LiBr–H2O solar absorption refrigeration system

A single effect LiBr–H2O absorption refrigeration system coupled with a solar collector and a storage tank was studied to develop an assessment tool using the built-in App Designer in MATLAB®. The model is developed using balances of mass, energy, and species conservation in the components of the ab...

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Autores:
Cabrera César, José
Caratt Ortiz, Jean
Valencia Ochoa, Guillermo
Ramírez Restrepo, Rafael
Núñez Álvarez, José R.
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
spa
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/8505
Acceso en línea:
https://hdl.handle.net/11323/8505
https://doi.org/10.3390/lubricants9080076
https://repositorio.cuc.edu.co/
Palabra clave:
Energy and exergetic performance
Model
Solar collector
Solar absorption refrigeration systems
Thermal storage tank
MATLAB app designer
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_9b10e0c6c86bc789e2899db035a79d2f
oai_identifier_str oai:repositorio.cuc.edu.co:11323/8505
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv A new computational tool for the development of advanced exergy analysis and LCA on single effect LiBr–H2O solar absorption refrigeration system
title A new computational tool for the development of advanced exergy analysis and LCA on single effect LiBr–H2O solar absorption refrigeration system
spellingShingle A new computational tool for the development of advanced exergy analysis and LCA on single effect LiBr–H2O solar absorption refrigeration system
Energy and exergetic performance
Model
Solar collector
Solar absorption refrigeration systems
Thermal storage tank
MATLAB app designer
title_short A new computational tool for the development of advanced exergy analysis and LCA on single effect LiBr–H2O solar absorption refrigeration system
title_full A new computational tool for the development of advanced exergy analysis and LCA on single effect LiBr–H2O solar absorption refrigeration system
title_fullStr A new computational tool for the development of advanced exergy analysis and LCA on single effect LiBr–H2O solar absorption refrigeration system
title_full_unstemmed A new computational tool for the development of advanced exergy analysis and LCA on single effect LiBr–H2O solar absorption refrigeration system
title_sort A new computational tool for the development of advanced exergy analysis and LCA on single effect LiBr–H2O solar absorption refrigeration system
dc.creator.fl_str_mv Cabrera César, José
Caratt Ortiz, Jean
Valencia Ochoa, Guillermo
Ramírez Restrepo, Rafael
Núñez Álvarez, José R.
dc.contributor.author.spa.fl_str_mv Cabrera César, José
Caratt Ortiz, Jean
Valencia Ochoa, Guillermo
Ramírez Restrepo, Rafael
Núñez Álvarez, José R.
dc.subject.spa.fl_str_mv Energy and exergetic performance
Model
Solar collector
Solar absorption refrigeration systems
Thermal storage tank
MATLAB app designer
topic Energy and exergetic performance
Model
Solar collector
Solar absorption refrigeration systems
Thermal storage tank
MATLAB app designer
description A single effect LiBr–H2O absorption refrigeration system coupled with a solar collector and a storage tank was studied to develop an assessment tool using the built-in App Designer in MATLAB®. The model is developed using balances of mass, energy, and species conservation in the components of the absorption cooling system, taking into account the effect of external streams through temperature and pressure drop. The whole system, coupled with the solar energy harvesting arrangement, is modeled for 24 h of operation with changes on an hourly basis based on ambient temperature, cooling system load demand, and hourly solar irradiation, which is measured and recorded by national weather institutes sources. Test through simulations and validation procedures are carried out with acknowledged scientific articles. These show 2.65% of maximum relative error on the energy analysis with respect to cited authors. The environmental conditions used in the study were evaluated in Barranquilla, Colombia, with datasets of the Institute of Hydrology, Meteorology and Environmental Studies (IDEAM), considering multiannual average hourly basis solar irradiation. This allowed the authors to obtain the behavior of the surface temperature of the water in the tank, COP, and exergy efficiency of the system. The simulations also stated the generator as the biggest source of irreversibility with around 45.53% of total exergy destruction in the inner cycle without considering the solar array, in which case the solar array would present the most exergy destruction.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-08-06T18:43:35Z
dc.date.available.none.fl_str_mv 2021-08-06T18:43:35Z
dc.date.issued.none.fl_str_mv 2021-08-05
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
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dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
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status_str acceptedVersion
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/8505
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.3390/lubricants9080076
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
url https://hdl.handle.net/11323/8505
https://doi.org/10.3390/lubricants9080076
https://repositorio.cuc.edu.co/
identifier_str_mv Corporación Universidad de la Costa
REDICUC - Repositorio CUC
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.references.spa.fl_str_mv 1. Solano–Olivares, K.; Romero, R.J.; Santoyo, E.; Herrera, I.; Galindo–Luna, Y.R.; Rodríguez–Martínez, A.; Santoyo-Castelazo, E.; Cerezo, J. Life cycle assessment of a solar absorption air-conditioning system. J. Clean. Prod. 2019, 240, 118206. [CrossRef]
2. Khan, J.; Arsalan, M.H. Solar power technologies for sustainable electricity generation—A review. Renew. Sustain. Energy Rev. 2016, 55, 414–425. [CrossRef]
3. Alobaid, M.; Hughes, B.; Calautit, J.K.; O’Connor, D.; Heyes, A. A review of solar driven absorption cooling with photovoltaic thermal systems. Renew. Sustain. Energy Rev. 2017, 76, 728–742. [CrossRef]
4. Shirmohammadi, R.; Soltanieh, M.; Romeo, L.M. Thermoeconomic analysis and optimization of post-combustion CO2 recovery unit utilizing absorption refrigeration system for a natural-gas-fired power plant. Environ. Prog. Sustain. Energy 2018, 37, 1075–1084. [CrossRef]
5. Salmi, W.; Vanttola, J.; Elg, M.; Kuosa, M.; Lahdelma, R. Using waste heat of ship as energy source for an absorption refrigeration system. Appl. Therm. Eng. 2017, 115, 501–516. [CrossRef]
6. Herold, K.E.; Radermacher, R.; Klein, S.A. Absorption Chillers and Heat Pumps; CRC Press: Boca Raton, FL, USA, 2016; ISBN 9781498714358.
7. Mendoza, E.; Velásquez, M.; Medina, D.; Nuñez, J.R.; Grimaldo, J.W. An analysis of electricity generation with renewable resources in Germany. Int. J. Energy Econ. Policy 2020, 10, 361–367. [CrossRef]
8. Nuñez, J.R.; Benitez, I.; Llosas, Y. Communications in Flexible Supervisor for Laboratory Research in Renewable Energy. IOP Conf. Ser. Mater. Sci. Eng. 2020, 844, 012016. [CrossRef]
9. Gao, J.T.; Xu, Z.Y.; Chiu, J.N.W.; Su, C.; Wang, R.Z. Feasibility and economic analysis of solution transportation absorption system for long-distance thermal transportation under low ambient temperature. Energy Convers. Manag. 2019, 196, 793–806. [CrossRef]
10. Núñez Alvarez, J.R.; Benítez, I.F.; Proenza, R.; Luis, V.S.; David, D.M. Metodología de diagnóstico de fallos para sistemas fotovoltaicos de conexión a red. Rev. Iberoam. Autom. Inf. Ind. 2020, 17, 94–105. [CrossRef]
11. Ansarinasab, H.; Hajabdollahi, H.; Fatimah, M. Life cycle assessment (LCA) of a novel geothermal-based multigeneration system using LNG cold energy- integration of Kalina cycle, stirling engine, desalination unit and magnetic refrigeration system. Energy 2021, 231, 120888. [CrossRef]
12. Murphy, M.P.A. COVID-19 and emergency eLearning: Consequences of the securitization of higher education for post-pandemic pedagogy. Contemp. Secur. Policy 2020, 41, 492–505. [CrossRef]
13. Baran, E.; Baran, E.; AlZoubi, D. Human-Centered Design as a Frame for Transition to Remote Teaching during the COVID-19 Pandemic. J. Technol. Teach. Educ. 2020, 28, 365–372.
14. Piero Rojas, J.; Valencia Ochoa, G.; Duarte Forero, J. Comparative Performance of a Hybrid Renewable Energy Generation System with Dynamic Load Demand. Appl. Sci. 2020, 10, 3093. [CrossRef]
15. Brunet, R.; Cortés, D.; Guillén-Gosálbez, G.; Jiménez, L.; Boer, D. Minimization of the LCA impact of thermodynamic cycles using a combined simulation-optimization approach. Appl. Therm. Eng. 2012, 48, 367–377. [CrossRef]
16. Valencia Ochoa, G.; Duarte Forero, J.; Rojas, J.P. A comparative energy and exergy optimization of a supercritical-CO2 Brayton cycle and Organic Rankine Cycle combined system using swarm intelligence algorithms. Heliyon 2020, 6, e04136. [CrossRef]
17. Denzinger, C.; Berkemeier, G.; Winter, O.; Worsham, M.; Labrador, C.; Willard, K.; Altaher, A.; Schuleter, J.; Ciric, A.; Choi, J.K. Toward sustainable refrigeration systems: Life cycle assessment of a bench-scale solar-thermal adsorption refrigerator. Int. J. Refrig. 2021, 121, 105–113. [CrossRef]
18. Barrozo, F.; Valencia, G.; Obregón, L.; Arango, A.; Nuñez, J.R. Energy, Economic and Environmental Evaluation of a Solar-Wind Power on-grid System: Case study in Colombia. Energies 2020, 13, 1662. [CrossRef]
19. Diaz, G.A.; Duarte, J.O.; Garcia, J.; Rincon, A.; Fontalvo, A.; Bula, A.; Padilla, R.V. Maximum power from fluid flow by applying the first and second laws of thermodynamics. J. Energy Resour. Technol. Trans. ASME 2017, 139, 035021. [CrossRef]
20. Liu, X.; Yang, X.; Yu, M.; Zhang, W.; Wang, Y.; Cui, P.; Zhu, Z.; Ma, Y.; Gao, J. Energy, exergy, economic and environmental (4E) analysis of an integrated process combining CO2 capture and storage, an organic Rankine cycle and an absorption refrigeration cycle. Energy Convers. Manag. 2020, 210, 112738. [CrossRef]
21. Abas, N.; Kalair, A.R.; Khan, N.; Haider, A.; Saleem, Z.; Saleem, M.S. Natural and synthetic refrigerants, global warming: A review. Renew. Sustain. Energy Rev. 2018, 90, 557–569. [CrossRef]
22. Valencia Ochoa, G.; Cárdenas Gutierrez, J.; Duarte Forero, J. Exergy, Economic, and Life-Cycle Assessment of ORC System for Waste Heat Recovery in a Natural Gas Internal Combustion Engine. Resources 2020, 9, 2. [CrossRef]
23. Nuñez, J.R.; Benitez, I.; Martínez, A.; Díaz, S.; de Oliveira, J. Tools for the Implementation of a SCADA System in a Desalination Process. IEEE Lat. Am. Trans. 2019, 17, 11, 1858–1864.
24. OECD/IEA. The Future of Cooling Opportunities for Energy-Efficient Air Conditioning; IEA: Paris, France, 2018.
25. Ramírez, R.; Gutiérrez, A.S.; Cabello Eras, J.J.; Valencia, K.; Hernández, B.; Duarte Forero, J. Evaluation of the energy recovery potential of thermoelectric generators in diesel engines. J. Clean. Prod. 2019, 241, 118412. [CrossRef]
26. Ochoa, G.V.; Isaza-Roldan, C.; Forero, J.D. A phenomenological base semi-physical thermodynamic model for the cylinder and exhaust manifold of a natural gas 2-megawatt four-stroke internal combustion engine. Heliyon 2019, 5, e02700. [CrossRef]
27. Palomino, K.; Reyes, F.; Nuñez, J.; Valencia, G.; Herrera, R. Wind Speed Prediction Based on Univariate ARIMA and MCO on the Colombian Caribbean Coast. J. Eng. Sci. Technol. Rev. 2020, 13, 200–205. [CrossRef]
28. Wonchala, J.; Hazledine, M.; Goni Boulama, K. Solution procedure and performance evaluation for a water-LiBr absorption refrigeration machine. Energy 2014, 65, 272–284. [CrossRef]
29. Morosuk, T.; Tsatsaronis, G. A new approach to the exergy analysis of absorption refrigeration machines. Energy 2008, 33, 890–907. [CrossRef]
30. Bell, I.H.; Wronski, J.; Quoilin, S.; Lemort, V. Pure and Pseudo-pure Fluid Thermophysical Property Evaluation and the OpenSource Thermophysical Property Library CoolProp. Ind. Eng. Chem. Res. 2014, 53, 2498–2508. [CrossRef] [PubMed]
31. Kim, D.S.; Ferreira, C.A.I. A Gibbs energy equation for LiBr aqueous solutions. Int. J. Refrig. 2006, 29, 36–46. [CrossRef]
32. Kaita, Y. Thermophysical property data for lithium bromide/water solutions at elevated temperatures. Int. J. Refrig. 2001, 24, 374–390. [CrossRef]
33. Yuan, Z.; Herold, K.E. Thermodynamic properties of aqueous lithium bromide using a multiproperty free energy correlation. HVAC R Res. 2005, 11, 377–393. [CrossRef]
34. Qin, S.; Chang, S.; Yao, Q. Modeling, thermodynamic and techno-economic analysis of coal-to-liquids process with different entrained flow coal gasifiers. Appl. Energy 2018, 229, 413–432. [CrossRef]
35. Palacios-Bereche, R.; Gonzales, R.; Nebra, S.A. Exergy calculation of lithium bromide-water solution and its application in the exergetic evaluation of absorption refrigeration systems LiBr-H2O. Int. J. Energy Res. 2012, 36, 166–181. [CrossRef]
36. Valencia Ochoa, G.; Piero Rojas, J.; Duarte Forero, J. Advance Exergo-Economic Analysis of a Waste Heat Recovery System Using ORC for a Bottoming Natural Gas Engine. Energies 2020, 13, 267. [CrossRef]
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spelling Cabrera César, JoséCaratt Ortiz, JeanValencia Ochoa, GuillermoRamírez Restrepo, RafaelNúñez Álvarez, José R.2021-08-06T18:43:35Z2021-08-06T18:43:35Z2021-08-05https://hdl.handle.net/11323/8505https://doi.org/10.3390/lubricants9080076Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/A single effect LiBr–H2O absorption refrigeration system coupled with a solar collector and a storage tank was studied to develop an assessment tool using the built-in App Designer in MATLAB®. The model is developed using balances of mass, energy, and species conservation in the components of the absorption cooling system, taking into account the effect of external streams through temperature and pressure drop. The whole system, coupled with the solar energy harvesting arrangement, is modeled for 24 h of operation with changes on an hourly basis based on ambient temperature, cooling system load demand, and hourly solar irradiation, which is measured and recorded by national weather institutes sources. Test through simulations and validation procedures are carried out with acknowledged scientific articles. These show 2.65% of maximum relative error on the energy analysis with respect to cited authors. The environmental conditions used in the study were evaluated in Barranquilla, Colombia, with datasets of the Institute of Hydrology, Meteorology and Environmental Studies (IDEAM), considering multiannual average hourly basis solar irradiation. This allowed the authors to obtain the behavior of the surface temperature of the water in the tank, COP, and exergy efficiency of the system. The simulations also stated the generator as the biggest source of irreversibility with around 45.53% of total exergy destruction in the inner cycle without considering the solar array, in which case the solar array would present the most exergy destruction.Cabrera César, JoséCaratt Ortiz, JeanValencia Ochoa, GuillermoRamírez Restrepo, Rafael-will be generated-orcid-0000-0001-6947-4122-600Núñez Álvarez, José R.application/pdfspaCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Lubricantshttps://www.mdpi.com/2075-4442/9/8/76Energy and exergetic performanceModelSolar collectorSolar absorption refrigeration systemsThermal storage tankMATLAB app designerA new computational tool for the development of advanced exergy analysis and LCA on single effect LiBr–H2O solar absorption refrigeration systemArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion1. Solano–Olivares, K.; Romero, R.J.; Santoyo, E.; Herrera, I.; Galindo–Luna, Y.R.; Rodríguez–Martínez, A.; Santoyo-Castelazo, E.; Cerezo, J. Life cycle assessment of a solar absorption air-conditioning system. J. Clean. Prod. 2019, 240, 118206. [CrossRef]2. Khan, J.; Arsalan, M.H. Solar power technologies for sustainable electricity generation—A review. Renew. Sustain. Energy Rev. 2016, 55, 414–425. [CrossRef]3. Alobaid, M.; Hughes, B.; Calautit, J.K.; O’Connor, D.; Heyes, A. A review of solar driven absorption cooling with photovoltaic thermal systems. Renew. Sustain. Energy Rev. 2017, 76, 728–742. [CrossRef]4. Shirmohammadi, R.; Soltanieh, M.; Romeo, L.M. Thermoeconomic analysis and optimization of post-combustion CO2 recovery unit utilizing absorption refrigeration system for a natural-gas-fired power plant. Environ. Prog. Sustain. Energy 2018, 37, 1075–1084. [CrossRef]5. Salmi, W.; Vanttola, J.; Elg, M.; Kuosa, M.; Lahdelma, R. Using waste heat of ship as energy source for an absorption refrigeration system. Appl. Therm. Eng. 2017, 115, 501–516. [CrossRef]6. Herold, K.E.; Radermacher, R.; Klein, S.A. Absorption Chillers and Heat Pumps; CRC Press: Boca Raton, FL, USA, 2016; ISBN 9781498714358.7. Mendoza, E.; Velásquez, M.; Medina, D.; Nuñez, J.R.; Grimaldo, J.W. An analysis of electricity generation with renewable resources in Germany. Int. J. Energy Econ. Policy 2020, 10, 361–367. [CrossRef]8. Nuñez, J.R.; Benitez, I.; Llosas, Y. Communications in Flexible Supervisor for Laboratory Research in Renewable Energy. IOP Conf. Ser. Mater. Sci. Eng. 2020, 844, 012016. [CrossRef]9. Gao, J.T.; Xu, Z.Y.; Chiu, J.N.W.; Su, C.; Wang, R.Z. Feasibility and economic analysis of solution transportation absorption system for long-distance thermal transportation under low ambient temperature. Energy Convers. Manag. 2019, 196, 793–806. [CrossRef]10. Núñez Alvarez, J.R.; Benítez, I.F.; Proenza, R.; Luis, V.S.; David, D.M. Metodología de diagnóstico de fallos para sistemas fotovoltaicos de conexión a red. Rev. Iberoam. Autom. Inf. Ind. 2020, 17, 94–105. [CrossRef]11. Ansarinasab, H.; Hajabdollahi, H.; Fatimah, M. Life cycle assessment (LCA) of a novel geothermal-based multigeneration system using LNG cold energy- integration of Kalina cycle, stirling engine, desalination unit and magnetic refrigeration system. Energy 2021, 231, 120888. [CrossRef]12. Murphy, M.P.A. COVID-19 and emergency eLearning: Consequences of the securitization of higher education for post-pandemic pedagogy. Contemp. Secur. Policy 2020, 41, 492–505. [CrossRef]13. Baran, E.; Baran, E.; AlZoubi, D. Human-Centered Design as a Frame for Transition to Remote Teaching during the COVID-19 Pandemic. J. Technol. Teach. Educ. 2020, 28, 365–372.14. Piero Rojas, J.; Valencia Ochoa, G.; Duarte Forero, J. Comparative Performance of a Hybrid Renewable Energy Generation System with Dynamic Load Demand. Appl. Sci. 2020, 10, 3093. [CrossRef]15. Brunet, R.; Cortés, D.; Guillén-Gosálbez, G.; Jiménez, L.; Boer, D. Minimization of the LCA impact of thermodynamic cycles using a combined simulation-optimization approach. Appl. Therm. Eng. 2012, 48, 367–377. [CrossRef]16. Valencia Ochoa, G.; Duarte Forero, J.; Rojas, J.P. A comparative energy and exergy optimization of a supercritical-CO2 Brayton cycle and Organic Rankine Cycle combined system using swarm intelligence algorithms. Heliyon 2020, 6, e04136. [CrossRef]17. Denzinger, C.; Berkemeier, G.; Winter, O.; Worsham, M.; Labrador, C.; Willard, K.; Altaher, A.; Schuleter, J.; Ciric, A.; Choi, J.K. Toward sustainable refrigeration systems: Life cycle assessment of a bench-scale solar-thermal adsorption refrigerator. Int. J. Refrig. 2021, 121, 105–113. [CrossRef]18. Barrozo, F.; Valencia, G.; Obregón, L.; Arango, A.; Nuñez, J.R. Energy, Economic and Environmental Evaluation of a Solar-Wind Power on-grid System: Case study in Colombia. Energies 2020, 13, 1662. [CrossRef]19. Diaz, G.A.; Duarte, J.O.; Garcia, J.; Rincon, A.; Fontalvo, A.; Bula, A.; Padilla, R.V. Maximum power from fluid flow by applying the first and second laws of thermodynamics. J. Energy Resour. Technol. Trans. ASME 2017, 139, 035021. [CrossRef]20. Liu, X.; Yang, X.; Yu, M.; Zhang, W.; Wang, Y.; Cui, P.; Zhu, Z.; Ma, Y.; Gao, J. Energy, exergy, economic and environmental (4E) analysis of an integrated process combining CO2 capture and storage, an organic Rankine cycle and an absorption refrigeration cycle. Energy Convers. Manag. 2020, 210, 112738. [CrossRef]21. Abas, N.; Kalair, A.R.; Khan, N.; Haider, A.; Saleem, Z.; Saleem, M.S. Natural and synthetic refrigerants, global warming: A review. Renew. Sustain. Energy Rev. 2018, 90, 557–569. [CrossRef]22. Valencia Ochoa, G.; Cárdenas Gutierrez, J.; Duarte Forero, J. Exergy, Economic, and Life-Cycle Assessment of ORC System for Waste Heat Recovery in a Natural Gas Internal Combustion Engine. Resources 2020, 9, 2. [CrossRef]23. Nuñez, J.R.; Benitez, I.; Martínez, A.; Díaz, S.; de Oliveira, J. Tools for the Implementation of a SCADA System in a Desalination Process. IEEE Lat. Am. Trans. 2019, 17, 11, 1858–1864.24. OECD/IEA. The Future of Cooling Opportunities for Energy-Efficient Air Conditioning; IEA: Paris, France, 2018.25. Ramírez, R.; Gutiérrez, A.S.; Cabello Eras, J.J.; Valencia, K.; Hernández, B.; Duarte Forero, J. Evaluation of the energy recovery potential of thermoelectric generators in diesel engines. J. Clean. Prod. 2019, 241, 118412. [CrossRef]26. Ochoa, G.V.; Isaza-Roldan, C.; Forero, J.D. A phenomenological base semi-physical thermodynamic model for the cylinder and exhaust manifold of a natural gas 2-megawatt four-stroke internal combustion engine. Heliyon 2019, 5, e02700. [CrossRef]27. Palomino, K.; Reyes, F.; Nuñez, J.; Valencia, G.; Herrera, R. Wind Speed Prediction Based on Univariate ARIMA and MCO on the Colombian Caribbean Coast. J. Eng. Sci. Technol. Rev. 2020, 13, 200–205. [CrossRef]28. Wonchala, J.; Hazledine, M.; Goni Boulama, K. Solution procedure and performance evaluation for a water-LiBr absorption refrigeration machine. Energy 2014, 65, 272–284. [CrossRef]29. Morosuk, T.; Tsatsaronis, G. A new approach to the exergy analysis of absorption refrigeration machines. Energy 2008, 33, 890–907. [CrossRef]30. Bell, I.H.; Wronski, J.; Quoilin, S.; Lemort, V. Pure and Pseudo-pure Fluid Thermophysical Property Evaluation and the OpenSource Thermophysical Property Library CoolProp. Ind. Eng. Chem. Res. 2014, 53, 2498–2508. [CrossRef] [PubMed]31. Kim, D.S.; Ferreira, C.A.I. A Gibbs energy equation for LiBr aqueous solutions. Int. J. Refrig. 2006, 29, 36–46. [CrossRef]32. Kaita, Y. Thermophysical property data for lithium bromide/water solutions at elevated temperatures. Int. J. Refrig. 2001, 24, 374–390. [CrossRef]33. Yuan, Z.; Herold, K.E. Thermodynamic properties of aqueous lithium bromide using a multiproperty free energy correlation. HVAC R Res. 2005, 11, 377–393. 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[CrossRef]PublicationORIGINALA New Computational Tool for the Development of Advanced Exergy Analysis and LCA on Single Effect LiBr–H2O Solar Absorption Refrigeration System.pdfA New Computational Tool for the Development of Advanced Exergy Analysis and LCA on Single Effect LiBr–H2O Solar Absorption Refrigeration System.pdfapplication/pdf8571545https://repositorio.cuc.edu.co/bitstreams/e870fe0a-6ebd-450b-b553-b42519bb4d9b/download42ae0811b84746293291e242d3cc6174MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/3242c02f-4ba8-4d07-9b07-beb52947fe74/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/934418d3-4cfe-478d-bd99-0a67336fd4bf/downloade30e9215131d99561d40d6b0abbe9badMD53THUMBNAILA New Computational Tool for the Development of Advanced Exergy Analysis and LCA on Single Effect LiBr–H2O Solar Absorption Refrigeration 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