@Research Paper
<#LINE#>Tertiary matrix liberation of bypassed hydrocarbons in core sample pore throat restriction caused by fine particle’s accumulation after water flooding<#LINE#>IFABIYI@Olushola Olukunle,ADENIYI @Adekunle Tirimisiyu <#LINE#>1-8<#LINE#>1.ISCA-RJEngS-2023-007.pdf<#LINE#>Department of Chemical and Petroleum Engineering, College of Engineering, Afe Babalola University, Ado Ekiti, Ekiti State, Nigeria@Department of Chemical and Petroleum Engineering, College of Engineering, Afe Babalola University, Ado Ekiti, Ekiti State, Nigeria<#LINE#>1/5/2023<#LINE#>5/8/2023<#LINE#>Hydrocarbon’s reservoir management is important, so as to maximize its deliveries. An important reservoir managerial approach is pressure maintenance, of which water flooding is significant, because of its universal availability and avoid ability. Despite the numerous advantages of water flooding, its capability to mobilize, suspend, transport, and redeposit’s fine sand particles near a producing wellbore is problematic. This problem often led to pressure losses, thereby causing production losses. To solve this problem, core sample with a dimension of 0.12 ft by 0.25 ft made from silicate sand grain of 215-micron aggregates were bonded with Portland cement, at a ratio of 75% to 25%, to represent a formation core. The core samples were oven dried to removes gaseous and other suspended particles. Then, respectively saturated with 1.08 cp brine and 58.02 cp crude oil. The samples were serially loaded into core holder for flooding. The result showed that, after water flooding of cores samples, A, B, C, and D under laboratory conditions, the residual oil saturations, Sor1, were respectively 39.94%, 39.61%, 32.49%, and 31.52%. These percentages showed that significant amounts of hydrocarbons were still trapped in the core samples after water flooding. Efforts to recover more of Sor1 lead to the use of chemical flooding, a member of enhanced oil recovery. Bottles that were labeled samples A, B, C, and D contained different blends of mud acids with different concentrations. At the end of chemical flooding; the solution blend in bottle samples A, B, C, and D respectively recovered 41.462, 44.408, 35.242, and 39.499 from Sor1.<#LINE#>Medina-Erazo, O., Castaño-Correa, J., Caro-Vélez, C., Zabala-Romero, R., Bahamón-Pedrosa, J. I., Cortés-Correa, F., & Franco-Ariza, C. (2020).@Disaggregation and discretization methods for formation damage estimation in oil and gas fields: an overview.@Dyna, 87(213), 105-115.@Yes$Li, J. (2021).@Reservoir Development by Water flooding and Reservoir Performance Analysis.@In E3S Web of Conferences, 329, 01066. EDP Sciences.@Yes$Lake, L. W., Schmidt, R. L., & Venuto, P. B. (1992).@A niche for enhanced oil recovery in the 1990s.@Oilfield Review; (Netherlands), 4(1).@Yes$Turgazinov, I. K., Gussenov, I. S., & Zhappasbayev, B. Z. (2018).@The impact of fresh water injection on heavy oil displacement from sandstone reservoirs.@ARPN Journal of Engineering and Applied Sciences, 13(5), 1587-1599.@Yes$Yuan, B., & Wood, D. A. (2018).@A comprehensive review of formation damage during enhanced oil recovery.@Journal of Petroleum Science and Engineering, 167, 287-299.@Yes$Shafiq, M. U., & Mahmud, H. B. (2017).@Sandstone matrix acidizing knowledge and future development.@Journal of Petroleum Exploration and Production Technology, 7(4), 1205-1216.@Yes$Leong, V. H., & Ben Mahmud, H. (2019).@A preliminary screening and characterization of suitable acids for sandstone matrix acidizing technique: a comprehensive review.@Journal of Petroleum Exploration and Production Technology, 9(1), 753-778.@Yes$Radwan, A. E., Wood, D. A., Abudeif, A. M., Attia, M. M., Mahmoud, M., Kassem, A. A., & Kania, M. (2022).@Reservoir formation damage; reasons and mitigation: A case study of the Cambrian–Ordovician Nubian ‘C’ Sandstone Gas and Oil Reservoir from the Gulf of Suez Rift Basin.@Arabian Journal for Science and Engineering, 47(9), 11279-11296.@Yes$Elkatatny, S., Jafarov, T., Al-Majed, A., & Mahmoud, M. (2019).@@Formation damage avoidance by reducing invasion with sodium silicate-modified water-based drilling fluid.@Yes$Nwaozo, J. E. (2006).@Dynamic optimization of a water flood reservoir.@Doctoral dissertation, University of Oklahoma.@Yes$Xue, X., Chen, G., Zhang, K., Zhang, L., Zhao, X., Song, L., ... & Wang, P. (2022).@A divide-and-conquer optimization paradigm for water flooding production optimization.@Journal of Petroleum Science and Engineering, 211.@Yes$Talat Ahmed, Devesh K. Sinha, P. Chakraborty (2017).@Hydrogeology & Engineering Geology: Darcy’s Law.@Published by e-PG Pathshala, UGC, MHRD, Govt. of India.@No
<#LINE#>Design of three phase power synchronizer<#LINE#>Sujeet Kumar @Jha ,Bibek Raj @Pangeni <#LINE#>9-14<#LINE#>2.ISCA-RJEngS-2023-001.pdf<#LINE#>Department of Electronics and Computer Engineering, Institute of Engineering, Pulchowk Campus, Tribhuvan University, Nepal@Department of Electronics and Computer Engineering, Institute of Engineering, Pulchowk Campus, Tribhuvan University, Nepal<#LINE#>1/1/2023<#LINE#>16/6/2023<#LINE#>Synchronization is very useful to connect a power generation to a standard grid. Without a synchronizer it is impossible to maintain a power supply in any country. It is therefore essentially required to merge the multiple sources of electrical power generation to a single system so that overall load can be handled very easily in an organized way. So, the process by which the different generating units are tied by matching line voltage, frequency, Phase angle and phase sequence with each other is called synchronization. The synchronizer works on the principle of phase matching using zero cross detector, frequency matching and voltage matching. The phase voltage of synchronous generator and grid is measured using voltage measuring circuit that uses half bridge rectifier and sampled data is taken using microcontroller and displayed through it. In the same way, frequencies of both the generator and grid is measured using frequency measuring circuit in which the time difference of pulses of full wave rectifier is recorded by microcontroller unit and it is implemented to calculate frequency. The phase difference is calculated by phase detecting circuit. When the difference of voltage, frequency and phase are within the specified limit then relay is energized to operate the contactor and grid is successfully connected to synchronous generator. The probability of incorrect synchronization decisions is reduced due to the quickness and fault detection techniques of the microcontroller methodology, which is the research main contribution. As a result, the synchronization's dependability improves. For monitoring, measuring, and paralleling synchronous generators, the developed auto synchronization unit is rapid, cost - effective, incredibly reliable, and highly accurate.<#LINE#>Bell, K., & Gill, S. (2018).@Delivering a highly distributed electricity system: Technical, regulatory and policy challenges.@Energy policy, 113, 765-777.@Yes$Sen, S., Mazumder, P., Jamil, M. H., & Chowdhury, R. (2014).@Design & construction of a low cost quasi automatic synchronizer for alternators.@International Journal of Engineering Research, 3(5).@Yes$Bensalah, A., Barakat, G., & Amara, Y. (2022).@Electrical generators for large wind turbine: Trends and challenges.@Energies, 15(18), 6700.@Yes$Chakraborty, C., Bhadra, S. N., & Chattopadhyay, A. K. (1999).@Analysis of parallel-operated self excited induction generators.@IEEE transactions on energy conversion, 14(2), 209-216.@Yes$Ahshan, R., Iqbal, M. T., & Mann, G. K. (2007).@Power resistors based soft-starter for a small grid connected Induction Generator based wind turbine.@In Proceeding of The The Seventeenth Annual Newfoundland Electrical nd Computer Engineering Conference, 1-5.@Yes$Carlson, R., & Voltolini, H. (2008).@Grid synchronization of brushless doubly fed asynchronous generators in wind power systems.@In The International Conference on Electrical Engineering, Vol. 6, No. 6th International Conference on Electrical Engineering ICEENG, 1-10. Military Technical College.@Yes$Farret, F. A., & Simões, M. G. (2006).@Integration of alternative sources of energy.@Piscataway, NJ, USA: IEEE press. Vol. 504@Yes
@Research Article
<#LINE#>Mixed convection flow and heat transfer in a lid driven cavity using SIMPLE algorithm<#LINE#>Arti @Kaushik <#LINE#>15-23<#LINE#>3.ISCA-RJEngS-2023-006.pdf<#LINE#>Department of Mathematics, Maharaja Agrasen Institute of Technology, Delhi, India<#LINE#>3/4/2023<#LINE#>3/9/2023<#LINE#>In the present study mixed convection flow and heat transfer in steady 2-D incompressible flow through a lid driven cavity is investigated. The upper wall of cavity is moving with uniform velocity and is at higher temperature. The stationary lower wall is kept at lower temperature. The governing equations of the model are solved numerically using SIMPLE algorithm. A staggered grid system is employed for numerical computations for velocity, pressure and temperature. Under relaxation factors for velocity, pressure and temperature are used for the stability of the numerical solutions. Bernoulli equation has been taken up to check the accuracy of the computed solutions. The significant findings from this study have been given under conclusion.<#LINE#>Cha, C. K., & Jaluria, Y. (1984).@Recirculating mixed convection flow for energy extraction.@International Journal of Heat and Mass Transfer, 27(10), 1801-1812.@Yes$Pilkington, L. A. B. (1969).@Review lecture: the float glass process.@Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences, 314(1516), 1-25.@Yes$Imberger, J. (1985).@Thermal characteristics of standing waters: an illustration of dynamic processes.@In Perspectives in Southern Hemisphere Limnology: Proceedings of a Symposium, held in Wilderness, South Africa, July 3–13, 1984, 7-29. Springer Netherlands.@Yes$Moallemi, M. K., & Jang, K. S. (1992).@Prandtl number effects on laminar mixed convection heat transfer in a lid-driven cavity.@International Journal of Heat and Mass Transfer, 35(8), 1881-1892.@Yes$Iwatsu, R., Hyun, J. M., & Kuwahara, K. (1993).@Mixed convection in a driven cavity with a stable vertical temperature gradient.@International Journal of Heat and Mass Transfer, 36(6), 1601-1608.@Yes$Mansour, R. B., & Viskanta, R. (1994).@Shear-opposed mixed-convection flow and heat transfer in a narrow, vertical cavity.@International journal of heat and fluid flow, 15(6), 462-469.@Yes$Iwatsu, R., & Hyun, J. M. (1995).@Three-dimensional driven-cavity flows with a vertical temperature gradient.@International Journal of Heat and Mass Transfer, 38(18), 3319-3328.@Yes$Prasad, A. K., & Koseff, J. R. (1996).@Combined forced and natural convection heat transfer in a deep lid-driven cavity flow.@International Journal of Heat and Fluid Flow, 17(5), 460-467.@Yes$Alleborn, N., Raszillier, H., & Durst, F. (1999).@Lid-driven cavity with heat and mass transport.@International Journal of Heat and Mass Transfer, 42(5), 833-853.@Yes$Guo, G. and Sharif, M. (2004).@Mixed convection in rectangular cavities at various aspect ratios with moving isothermal sidewalls and constant flux heat source on the bottom wall.@International Journal of Thermal Sciences, 43(5), 465-475@Yes$Sharif, M. (2007).@Laminar mixed convection in shallow inclined driven cavities with hot moving lid on top and cooled from bottom.@Applied Thermal Engineering,  27(5-6), 1036-1042.@Yes$Oztop, H. F., Zhao, Z. and Yu, Bo (2009).@Conduction-combined forced and natural convection in lid-driven enclosures divided by a vertical solid partition, International Communications in Heat and Mass Transfer , 36(7), 661-668,@undefined@Yes$Saha, S., Saha, G., & Hasan, N. (2010).@Mixed convection in a lid-driven cavity with internal heat source.@Proceedings of the 13 the Annual Paper Meet, Dhaka, 1-6.@Yes$Islam, A. W., Sharif, M. A., & Carlson, E. S. (2012).@Mixed convection in a lid driven square cavity with an isothermally heated square blockage inside.@International journal of heat and mass transfer, 55(19-20), 5244-5255.@Yes$Ismael, M. A., Pop, I., & Chamkha, A. J. (2014).@Mixed convection in a lid-driven square cavity with partial slip.@International Journal of Thermal Sciences, 82, 47-61.@Yes$Morshed, K. N., Sharif, M. A., & Islam, A. W. (2015).@Laminar mixed convection in a lid-driven square cavity with two isothermally heated square internal blockages.@Chemical Engineering Communications, 202(9), 1176-1190.@Yes$Abraham, J., & Varghese, J. (2015).@Mixed convection in a differentially heated square cavity with moving lids.@Int. J. of engineering Research & Technol, 1-4.@Yes$Zeghbid, I., & Bessaïh, R. (2017).@Mixed convection in a lid-driven square cavity with heat sources using nanofluids.@Fluid Dynamics & Materials Processing, 13 (4), 251-273.@Yes$Janjanam, N., Nimmagadda, R., Asirvatham, L. G., Harish, R., & Wongwises, S. (2021).@Conjugate heat transfer performance of stepped lid-driven cavity with Al2O3/water nanofluid under forced and mixed convection.@SN Applied Sciences, 3(6), 605.@Yes$Kumar, S., Panda, S., Gangawane, K. M., Vijayan, A., Oztop, H. F., & Hamdeh, N. A. (2022).@Mixed Convection in a Lid‐Driven Cavity with Triangular Corrugations and Built‐in Triangular Block.@Chemical Engineering & Technology, 45(9), 1545-1558.@Yes$Ouahouah, A., Kherroubi, S., Bourada, A., Labsi, N., & Benkahla, Y. K. (2020).@Mixed convection flow and heat transfer in a double lid-driven cavity containing a heated square block in the center.@In MATEC Web of Conferences, 330, 01010. EDP Sciences.@Yes$Patankar, S. V., & Spalding, D. B. (1983).@A calculation procedure for heat, mass and momentum transfer in three-dimensional parabolic flows.@In Numerical prediction of flow, heat transfer, turbulence and combustion, 54-73. Pergamon.@Yes$Sivakumar, V., Sivasankaran, S., Prakash, P., & Lee, J. (2010).@Effect of heating location and size on mixed convection in lid-driven cavities.@Computers & Mathematics with Applications, 59(9), 3053-3065.@Yes$Li, Z., & Wood, R. (2015).@Accuracy analysis of an adaptive mesh refinement method using benchmarks of 2-D steady incompressible lid-driven cavity flows and coarser meshes.@Journal of computational and applied mathematics, 275, 262-271.@Yes$Mohapatra, R. C. (2016).@Study on laminar two-dimensional lid-driven cavity flow with inclined side wall.@Open Access Library Journal, 3(3), 1-8.@Yes$Earn L. C., Tey, W. Y. and Ken T. L. (2020).@The investigation on SIMPLE and SIMPLER algorithm through lid driven cavity.@Journal of Advanced Research in Fluid Mechanics and Thermal Sciences,  29(1), 10–22.@Yes$Ali, I. R., Alsabery, A. I., Bakar, N. A., & Roslan, R. (2020).@Mixed convection in a double lid-driven cavity filled with hybrid nanofluid by using finite volume method.@Symmetry, 12(12), 1977.@Yes
@Review Paper
<#LINE#>Power Quality Improvement of Power Electronics Systems by using Machine Learning<#LINE#>Jyotsana @Kaiwart,Anupama @Huddar <#LINE#>24-27<#LINE#>4.ISCA-RJEngS-2023-003.pdf<#LINE#>Department of Electrical Engineering, Bhilai Institute of Technology, Durg, CG, India@Department of Electrical Engineering, Bhilai Institute of Technology, Durg, CG, India<#LINE#>17/1/2023<#LINE#>18/9/2023<#LINE#>The power electronic components or devices are the main focus of this report. It gains more popularity because of its reduced size and smooth control on output voltage & current. It is very popular in areas of renewable energy sources (as converters & inverters) and industrial drives (as controlling devices). In both cases, the power electronic components and devices act as non-linear loads due to its switching process. This causes system to generate the harmonics or cause of power quality problem. This should be mitigated or eliminated by using different methods, recommended by some standards e.g. IEEE-519. The limits and guidelines are also given by them to help the customers and manufacturers. The improvement in power quality can be achieved by Machine learning algorithms. Machine learning is another very popular area, which uses the data of any system and predicts the system output after training the model (e.g. for classification of fault type and identification of exact location of faults, predicting the life of power electronics components, detection of voltage disturbances). Depending on different techniques of machine learning, different applications can be achieved.<#LINE#>Chandra, A., Singh, B., Singh, B. N., & Al-Haddad, K. (2000).@An improved control algorithm of shunt active filter for voltage regulation, harmonic elimination, power-factor correction, and balancing of nonlinear loads.@IEEE transactions on Power electronics, 15(3), 495-507.@Yes$Srivastav, A., Chauhan, A., & Tripathi, A. (2020).@Mitigation of harmonics in voltage and current using UPQC.@In 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC). 456-460. IEEE.@Yes$Singh, B. N., Singh, B., Chandra, A., Rastgoufard, P., & Al-Haddad, K. (2007).@An improved control algorithm for active filters.@IEEE Transactions on Power Delivery, 22(2), 1009-1020.@Yes$Singh, B., Singh, B. N., Chandra, A., Al-Haddad, K., Pandey, A., & Kothari, D. P. (2004).@A review of three-phase improved power quality AC-DC converters.@IEEE Transactions on industrial electronics, 51(3), 641-660.@Yes$Singh, B., Al-Haddad, K., & Chandra, A. (1999).@A review of active filters for power quality improvement.@IEEE transactions on industrial electronics, 46(5), 960-971.@Yes$Singh, B., Al-Haddad, K., & Chandra, A. (1999).@A review of active filters for power quality improvement.@IEEE transactions on industrial electronics, 46(5), 960-971.@Yes$Goldemberg, C., Pellini, E. L., Kaiser, W., & Komatsu, W. (2009).@A Python based power electronics E-learning tool.@In 2009 Brazilian Power Electronics Conference, 1088-1092. IEEE.@Yes$Bedi, G., Venayagamoorthy, G. K., Singh, R., Brooks, R. R., & Wang, K. C. (2018).@Review of Internet of Things (IoT) in electric power and energy systems.@IEEE Internet of Things Journal, 5(2), 847-870.@Yes$Akagi, H., Kanazawa, Y., & Nabae, A. (1984).@Instantaneous reactive power compensators comprising switching devices without energy storage components.@IEEE Transactions on industry applications, (3), 625-630.@Yes$Samanta, I. S., Rout, P. K., Swain, K., Cherukuri, M., & Mishra, S. (2022).@Power quality events recognition using enhanced empirical mode decomposition and optimized extreme learning machine.@Computers and Electrical Engineering, 100, 107926.@Yes$Lucas, K. E., Pagano, D. J., Vaca-Benavides, D. A., Garcia-Arcos, R., Rocha, E. M., Medeiros, R. L., & Rios, S. J. (2020).@Robust control of interconnected power electronic converters to enhance performance in DC distribution systems: A case of study.@IEEE Transactions on Power Electronics, 36(4), 4851-4863.@Yes$Vazquez, J. R., & Salmeron, P. (2003).@Active power filter control using neural network technologies.@IEE Proceedings-Electric Power Applications, 150(2), 139-145.@Yes$Li, Q., Jiang, D., Zhang, Y., & Liu, Z. (2020).@The impact of VSFPWM on DQ current control and a compensation method.@IEEE Transactions on Power Electronics, 36(3), 3563-3572.@Yes$Guillod, T., Papamanolis, P., & Kolar, J. W. (2020).@Artificial neural network (ANN) based fast and accurate inductor modeling and design.@IEEE Open Journal of Power Electronics, 1, 284-299.@Yes$Gautam, M., Raviteja, S., & Mahalakshmi, R. (2019).@Energy management in electrical power system employing machine learning.@In 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), 915-920. IEEE.@Yes$Goswami, T., & Roy, U. B. (2019).@Predictive model for classification of power system faults using machine learning.@In TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 1881-1885. IEEE.@Yes$Jahns, T. M., & Dai, H. (2017).@The past, present, and future of power electronics integration technology in motor drives.@CPSS Transactions on Power Electronics and Applications, 2(3), 197-216.@Yes$Kennel, R., & Linder, A. (2000).@Predictive control of inverter supplied electrical drives.@In 2000 IEEE 31st Annual Power Electronics Specialists Conference. Conference Proceedings (Cat. No. 00CH37018). 2, 761-766. IEEE.@Yes$Krishnamoorthy, H. S., & Aayer, T. N. (2019).@Machine learning based modeling of power electronic converters.@In 2019 IEEE Energy Conversion Congress and Exposition (ECCE), 666-672. IEEE.@Yes$Mazzanti, G., Diban, B., Chiodo, E., De Falco, P., & Noia, L. P. D. (2020).@Forecasting the reliability of components subjected to harmonics generated by power electronic converters.@Electronics, 9(8), 1266.@Yes$Peyghami, S., Blaabjerg, F., & Palensky, P. (2020).@Incorporating power electronic converters reliability into modern power system reliability analysis.@IEEE Journal of Emerging and Selected Topics in Power Electronics, 9(2), 1668-1681.@Yes$Quinn, C., & Dalal, D. (2017).@The 2017" Power Technology Roadmap": Empowering the Electronics Industry [PSMA Corner].@IEEE Power Electronics Magazine, 4(2), 20-23.@Yes$Takamiya, M., Miyazaki, K., Obara, H., Sai, T., Wada, K., & Sakurai, T. (2017).@Power electronics 2.0: IoT-connected and Al-controlled power electronics operating optimally for each user.@29th International Symposium on Power Semiconductor Devices and IC@Yes$Turovic, R., Stanisavljevic, A., Dragan, D., & Katic, V. (2019).@Machine learning for application in distribution grids for power quality applications.@20th International Symposium on Power Electronics (Ee). 1-6. IEEE.@Yes$Wang, X., & Blaabjerg, F. (2018).@Harmonic stability in power electronic-based power systems: Concept, modeling, and analysis.@IEEE Transactions on Smart Grid, 10(3), 2858-2870.@Yes$Holmberg, K., Andersson, P., & Erdemir, A. (2012).@Global energy consumption due to friction in passenger cars.@Tribology international, 47, 221-234.@Yes$Holmberg, K., Siilasto, R., Laitinen, T., Andersson, P., & Jäsberg, A. (2013).@Global energy consumption due to friction in paper machines.@Tribology International, 62, 58-77.@Yes$Rajeev Kumar Chauhan and J.P. Pandey (2014).@Mitigation of Power Quality Problems Using FACTS Devices: A Review.@International Journal of Electronic and Electrical Engineering, 7(3), 255-262@Yes$Aminifar, F., Teimourzadeh, S., Shahsavari, A., Savaghebi, M., & Golsorkhi, M. S. (2021).@Machine learning for protection of distribution networks and power electronics-interfaced systems.@The Electricity Journal, 34(1), 106886.@Yes$Yang, H., Liu, X., Zhang, D., Chen, T., Li, C., & Huang, W. (2021).@Machine learning for power system protection and control.@The Electricity Journal, 34(1), 106881.@Yes$Farhoumandi, M., Zhou, Q., & Shahidehpour, M. (2021). A review of machine learning applications in IoT-integrated modern power systems. The Electricity Journal, 34(1), 106879.@undefined@undefined@Yes$Fuchs, E. F., & Masoum, M. A. (2011).@Power quality in power systems and electrical machines.@Academic press.@Yes
<#LINE#>Transcritical carbon dioxide refrigeration and air conditioning cycles and   applications: State of the art<#LINE#>Louis O. @Aredokou,Victorin K. @Chegnimonhan,Clotilde T. @Guidi,Pascalin Tiam @Kapen,Basile @Kounouhewa <#LINE#>28-40<#LINE#>5.ISCA-RJEngS-2023-011.pdf<#LINE#>Beninese Center for Scientific Research and Innovation, Cotonou, Benin and Laboratory of Processes and Technological Innovations of Lokossa, UNSTIM, Benin@Beninese Center for Scientific Research and Innovation, Cotonou, Benin and Thermal and Energy Laboratory of Nantes (LTeN), UMR 6607 CNRS Nantes, France@Thermal and Energy Laboratory of Nantes (LTeN), UMR 6607 CNRS Nantes, France@Industrial Systems and Environmental Engineering Research Unit (URISIE), Bandjoun, Cameroon@Beninese Center for Scientific Research and Innovation, Cotonou, Benin<#LINE#>28/7/2023<#LINE#>24/10/2023<#LINE#>The use of less polluting refrigerants is now a reality in the framework of research to lessen the environmental impact of refrigeration units. The drive to employ ecologically benign and safer-to-handle refrigerants has resulted in the recent increased usage of carbon dioxide in refrigeration cycles, which develops substantial benefits, particularly in Western countries. CO2 systems are less efficient than conventional systems due to the transcritical nature of the CO2 refrigeration cycle. As a result, numerous cycle adjustments can be included to increase system performance. This review article contains a database showcasing the state of the art in theoretical, practical, and technological developments made on transcritical CO2 cycles, as well as their field of application. According to research, the biggest improvement in the transcritical cycle can be obtained by replacing the expansion device with a work-recovery expansion machine or by using numerous stages of compression. However, these are expensive upgrades in terms of buying price. As a result, recent research has mostly focused on ejector-driven transcritical cycles due to the large performance boost, lack of moving parts in the ejector, and low cost. Current developments and challenges in important application areas are summarised, and future research directions are highlighted.<#LINE#>Victorin, C. K., Louis, A. O., Alain, A., & Clotilde, G. T. (2020).@Parametric study of NH3/CO2 cascade refrigeration cycles for hot climates.@Int. J. Res. Rev, 7, 219-229.@Yes$Intarcon. (2020).@Intarcon.com-Réfrigération au CO2.@pdf. https://www.intarcon.com/fr/refrigeration-au-CO2/@No$Kim, M. H., Pettersen, J., & Bullard, C. W. (2004).@Fundamental process and system design issues in CO2 vapor compression systems.@Progress in energy and combustion science, 30(2), 119-174.@Yes$Chegnimonhan, Aredokou, O. louis, Tognon Clotilde, G., & Alain, A. (2021).@Investigating the performance of a transcritical booster refrigeration system withcarbon dioxide in tropical climates: The case of Benin.@International Journal of Advanced Research, 9(02), 226–238. https://doi.org/10.21474/IJAR01/12438@No$Gullo, P., Tsamos, K. M., Hafner, A., Banasiak, K., Yunting, T. G., & Tassou, S. A. (2018).@Crossing CO2 equator with the aid of multi-ejector concept: A comprehensive energy and environmental comparative study.@Energy, 164, 236-263.@Yes$Aredokou, L. O., Chegnimonhan, V. K., & Guidi, C. T. (2020).@Etude prospective des principaux cycles de réfrigération au dioxyde de carbone en zone climatique tropicale.@@Yes$Cortella, G., & Gullo, P. (2016).@Energy and environmental performance assessment of R744 booster supermarket refrigeration systems operating in warm climates.@International Journal of Refrigeration, 64, 61-79.@Yes$Chegnimonhan, V. K., Aredokou, L. O., Vissoh, L., Guidi, C. T., & Kounouhewa, B. (2021).@Prospective study of single-stage carbon dioxide refrigeration cycles in a tropical climate.@4(11), 01-07.@Yes$Farsi, A., Mohammadi, S. H., & Ameri, M. (2016).@An efficient combination of transcritical CO2 refrigeration and multi-effect desalination: Energy and economic analysis.@Energy Conversion and Management, 127, 561-575.@Yes$Gholamian, E., Hanafizadeh, P., & Ahmadi, P. (2018).@Advanced exergy analysis of a carbon dioxide ammonia cascade refrigeration system.@Applied Thermal Engineering, 137, 689-699.@Yes$Elbel, S. (2011).@@Historical and present developments of ejector refrigeration systems with emphasis on transcritical carbon dioxide air-conditioning applications.@Yes$Zhang, J. F., Qin, Y., & Wang, C. C. (2015).@Review on CO2 heat pump water heater for residential use in Japan.@Renewable and Sustainable Energy Reviews, 50, 1383-1391.@Yes$Lorentzen, G., & Pettersen, J. (1993).@A new, efficient and environmentally benign system for car air-conditioning.@International journal of refrigeration, 16(1), 4-12.@Yes$Gillet, T., Rullière, R., Haberschill, P., Lemort, V., Andres, E., El-Bakkali, A., & Olivier, G. (2016).@Modeling of multi-evaporator automobile air conditioning.@In French Thermal Congress .@Yes$Gbènagnon, A. R. (2020).@Assessment of the Use of Natural Refrigerants and Their Mixtures for Vehicle Air Conditioning: A Review Study.@International Journal of Research and Review, 7(1).@Yes$Cecchinato, L., Chiarello, M., & Corradi, M. (2010).@Design and experimental analysis of a carbon dioxide transcritical chiller for commercial refrigeration.@Applied Energy, 87(6), 2095-2101.@Yes$Akbari, A. D., & Mahmoudi, S. M. S. (2017).@Thermoeconomic performance and optimization of a novel cogeneration system using carbon dioxide as working fluid.@Energy conversion and management, 145, 265-277.@Yes$Li, B., & Wang, S. S. (2019).@Thermo-economic analysis and optimization of a novel carbon dioxide based combined cooling and power system.@Energy Conversion and Management, 199, 112048.@Yes$Kim, S. G., Lee, G., & Kim, M. S. (2005).@The performance of a transcriticalCO2 cycle with an internal heat exchanger for hot water heating.@International Journal of Refrigeration, 7(28), 1064–1072.@Yes$Chen, Y., & Gu, J. (2005).@Non-adiabatic capillary tube flow of carbon dioxide in a novel refrigeration cycle.@Applied Thermal Engineering, 25(11–12), 1670–1683.@Yes$Robinson, D. M., & Groll, E. A. (1997).@Efficiencies of transcriticalCO2 cycles with and without an expansion turbine. CO2 Technology in Refrigeration, Heat Pump & Air Conditioning Systems.@Workshop Proceedings.@No$Laipradit, P., Tiansuwan, J., Kiatsiriroat, T., & Aye, L. (2008).@Theoretical performance analysis of heat pump water heaters using carbon dioxide as refrigerant.@International Journal of Energy Research, 32(4), 356–366.@Yes$Cecchinato, L., Corradi, M., Fornasieri, E., & Zamboni, L. (2005).@Carbon dioxide as refrigerant for tap water heat pumps: A comparison with the traditional solution.@International Journal of Refrigeration, 28(8), 1250–1258.@Yes$Lorentzen, G. (1994).@Revival of carbon dioxide as a refrigerant.@International Journal of Refrigeration, 17(5), 292–301.@Yes$Fronk, B. M., & Garimella, S. (2011).@Water-coupled carbon dioxide microchannel gas cooler for heat pump water heaters: Part I - Experiments.@International Journal of Refrigeration, 34(1), 7–16.@Yes$Sarkar, J., Bhattacharyya, S., & Ram Gopal, M. (2005).@Transcritical CO2 heat pump systems: Exergy analysis including heat transfer and fluid flow effects.@Energy Conversion and Management, 46(13–14), 2053–2067.@Yes$Sarkar, J., Bhattacharyya, S., & Gopal, M. R. (2009).@Irreversibility minimization of heat exchangers for transcritical CO2 systems.@International Journal of Thermal Sciences, 48(1), 146-153.@Yes$Dai, B., Li, M., Dang, C., Yu, W., & Ma, Y. (2015).@Effects of lubricating oil on thermal performance of water-cooled carbon dioxide gas cooler.@Applied Thermal Engineering, 80, 288-300.@Yes$Yun, R., Kim, Y., & Park, C. (2007).@Numerical analysis on a microchannel evaporator designed for CO2 air-conditioning systems.@Applied Thermal Engineering, 27(8-9), 1320-1326.@Yes$Beaver, A. C., Yin, J. M., Bullard, C. W., & Hrnjak, P. S. (1999).@An experimental investigation of transcritical carbon dioxide systems for residential air conditioning.@Air Conditioning and Refrigeration Center CR-18.@Yes$Kim, M. H., & Bullard, C. W. (2001).@Development of a microchannel evaporator model for a CO2 air-conditioning system.@Energy, 26(10), 931-948.@Yes$Agrawal, N., & Bhattacharyya, S. (2008).@Optimized transcriticalCO2 heat pumps: Performance comparison of capillary tubes against expansion valves.@International Journal of Refrigeration-Revue Internationale Du Froid - INT J REFRIG, 31, 388–395.@Yes$Sarkar, J., Bhattacharyya, S., & Gopal, M. R. (2006).@Simulation of a transcriticalCO2 heat pump cycle for simultaneous cooling and heating applications.@International Journal of Refrigeration, 29(5), 735–743.@Yes$Madsen, K. B., Poulsen, C. S., & Wiesenfarth, M. (2005).@Study of capillary tubes in a transcritical CO2 refrigeration system.@International Journal of Refrigeration, 28(8), 1212–1218.@Yes$Yang, J. L., Ma, Y. T., Li, M. X., & Guan, H. Q. (2005).@Exergy analysis of transcritical carbon dioxide refrigeration cycle with an expander.@Energy, 30(7), 1162–1175.@Yes$Zhang, Z., Tong, L., & Wang, X. (2015).@Thermodynamic Analysis of Double-Stage Compression TranscriticalCO2 Refrigeration Cycles with an Expander.@Entropy, 17, 2544–2555.@Yes$Deng, J., Jiang, P., Lu, T., & Lu, W. (2007).@Particular characteristics of transcriticalCO2 refrigeration cycle with an ejector.@Applied Thermal Engineering, 27(2–3), 381–388.@Yes$Sarkar, J. (2008).@Optimization of ejector-expansion transcritical CO2 heat pump cycle.@Energy, 33(9), 1399–1406.@Yes$Li, D., & Groll, E. A. (2005).@Transcritical CO2 refrigeration cycle with ejector-expansion device.@International Journal of refrigeration, 28(5), 766-773.@Yes$Elbel, S. & Hrnjak, P. (2008).@Experimental validation of a prototype ejector designed to reduce throttling losses encountered in transcritical R744 system operation.@International Journal of Refrigeration, 31(3), 411–422.@Yes$Belman-Flores, J. M., Rangel-Hernández, V. H., Pérez-García, V., Zaleta-Aguilar, A., Fang, Q., & Méndez-Méndez, D. (2020).@An Advanced Exergoeconomic Comparison of CO2-Based Transcritical Refrigeration Cycles.@Energies, 13(23), Article 23.@Yes$Liu, Y., Liu, J., & Yu, J. (2020).@Theoretical analysis on a novel two-stage compression transcritical CO2 dual-evaporator refrigeration cycle with an ejector.@International Journal of Refrigeration, 119, 268–275.@Yes$Kumar, K., Gupta, H. K., & Kumar, P. (2020).@Analysis of a hybrid transcriticalCO2vapor compression and vapor ejector refrigeration system.@Applied Thermal Engineering, 181, 115945.@Yes$Peris Pérez, B., Expósito Carrillo, J. A., Sánchez de La Flor, F. J., SalmerónLissén, J. M., & Morillo Navarro, A. (2021).@Thermoeconomic analysis of CO2 Ejector-Expansion Refrigeration Cycle (EERC) for low-temperature refrigeration in warm climates.@Applied Thermal Engineering, 188, 116613.@Yes$Elbarghthi, A. F. A., Hafner, A., Banasiak, K., & Dvorak, V. (2021).@An experimental study of an ejector-boosted transcritical R744 refrigeration system including an exergy analysis.@Energy Conversion and Management, 238, 114102.@Yes$Liu, X., Yu, K., Wan, X., Zheng, M., & Li, X. (2021).@Conventional and advanced exergy analyses of transcritical CO2 ejector refrigeration system equipped with thermoelectric subcooler.@Energy Reports, 7, 1765–1779.@Yes$Liu, J., Liu, Y., & Yu, J. (2021).@Performance analysis of a modified dual-ejector and dual-evaporator transcritical CO2 refrigeration cycle for supermarket application.@International Journal of Refrigeration, 131, 109–118.@Yes$Expósito-Carrillo, J. A., Sánchez-de La Flor, F. J., Perís-Pérez, B., & Salmerón-Lissén, J. M. (2021).@Thermodynamic analysis of the optimal operating conditions for a two-stage CO2 refrigeration unit in warm climates with and without ejector.@Applied Thermal Engineering, 185, 116284.@Yes$Purjam, M., Thu, K., & Miyazaki, T. (2021).@Thermodynamic modeling of an improved transcritical carbon dioxide cycle with ejector: Aiming low-temperature refrigeration. Applied Thermal Engineering, 188, 116531.@undefined@Yes$Cecchinato, L., Chiarello, M., Corradi, M., Fornasieri, E., Minetto, S., Stringari, P., & Zilio, C. (2009).@Thermodynamic analysis of different two-stage transcritical carbon dioxide cycles.@International Journal of Refrigeration, 32(5), 1058–1067.@Yes$Agrawal, N., & Bhattacharyya, S. (2007).@Studies on a two-stage transcritical carbon dioxide heat pump cycle with flash intercooling.@Applied Thermal Engineering, 27(2–3), 299–305.@Yes$Llopis, R., Nebot-Andrés, L., Sánchez, D., Catalán-Gil, J., & Cabello, R. (2018).@Subcooling methods for CO2 refrigeration cycles: A review.@International Journal of Refrigeration, 93, 85–107.@Yes$Torrella, E., Llopis, R., Cabello, R., & Sanchez, D. (2009).@Experimental Energetic Analysis of the Subcooler System in a Two-Stage Refrigeration Facility Driven by a Compound Compressor.@HVAC & R Research, 15(3), 583–596.@Yes$Cho, H., Baek, C., Park, C., & Kim, Y. (2009).@Performance evaluation of a two-stage CO2 cycle with gas injection in the cooling mode operation.@International Journal of Refrigeration, 32(1), 40–46.@Yes$Sarkar, J., & Agrawal, N. (2010).@Performance optimization of transcriticalCO2 cycle with parallel compression economization.@International Journal of Thermal Sciences, 49(5), 838–843.@Yes$Toublanc, C. (2009).@Improvement of the trans-critical CO2 cycle by cooled compression: numerical and experimental evaluations.@Doctoral dissertation, Conservatoire national des arts et metiers-CNAM.@Yes$Maina, Paul, and Zhongjie Huan (2015).@A review of carbon dioxide as a refrigerant in refrigeration technology.@South african journal of science 111(9-10), 01-10.@Yes