EVERGREEN

Joint Journal of Novel Carbon Resource Sciences and Green Asia Strategy

ISSN:2189-0420 (Print until Mar 2020)
ISSN:2432-5953 (Online)

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Methods for Leakage Monitoring for Safety and Efficiency of ORC System: A Review

Ihsan Supono1,2,*, Teguh Pribadi Adinugroho3, Himma Firdaus1,2, Iput Kasiyanto1, Tri Widianti4, Qudsiyyatul Lailiyah1, Nanang Kusnandar1, Tri Rakhmawati5, Sih Damayanti5, Meilinda Ayundyahrini4, Teguh Muttaqie6
1Research Center for Electrical Technology, National Research and Innovation Agency (BRIN), Indonesia
2Faculty of Engineering, Pamulang University, Indonesia
3Research Center for Equipment Manufacturing Technology, National Research and Innovation Agency (BRIN), Indonesia
4Research Center for Sustainable Industrial and Manufacturing Systems, National Research and Innovation Agency (BRIN), Indonesia
5Research Center for Behavioral and Circular Economics, National Research and Innovation Agency (BRIN), Indonesia
6Research Center for Hydrodynamics Technology, National Research and Innovation Agency (BRIN), Indonesia
*Author to whom correspondence should be addressed:
E-mail: ihsa002@brin.go.id (IS)
Received: May 26, 2025 | Revised: December 29, 2025 | Accepted: February 17, 2026 | Published: June 2026
Abstract
Abstract: Organic Rankine Cycles (ORCs) are widely used for recovering low-temperature waste heat, particularly in renewable energy systems like biomass. However, their performance is often reduced by undetected heat and gas leakage. This review aims to identify, classify, and assess current leakage de-tection methods specifically suited for ORC systems, focusing on their effectiveness under typical operat-ing conditions. The scope encompasses thermal and gas leakage detection techniques, including tempera-ture, pressure, and flow rate monitoring, as well as advanced diagnostic technologies. The main findings indicate that heat loss from components, such as the expander, and undetected vapor leakage can signifi-cantly degrade system efficiency and output. Continuous temperature, pressure, and flow rate monitoring are the most effective methods for ensuring safety and optimizing system performance, among the re-viewed options. Integrating these techniques with Internet of Things (IoT) devices and machine learning offers promising avenues for real-time diagnostics and predictive maintenance. Future research should fo-cus on developing cost-effective, robust sensors suitable for high-temperature and high-humidity envi-ronments common in ORCs. This review contributes to the broader discussion on improving ORC moni-toring and reliability while proposing practical pathways for technological innovation and sustainable en-ergy conversion.
Keywords
heat loss; leakage detection system; Organic Rankine Cycle; system safety; working fluid leakage
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References
  1. 1) A. Mahmoudi, M. Fazli, and M.R. Morad, "A recent review of waste heat recovery by organic rankine cycle," Appl. Therm. Eng., 143 660-675 (2018) doi:10.1016/j.applthermaleng.2018.07.136
  2. 2) J.C. Jiménez-García, A. Ruiz, A. Pacheco-Reyes, and W. Rivera, "A comprehensive review of organic rankine cycles," Processes, 11 (7) 1982 (2023) doi:10.3390/pr11071982
  3. 3) D. Wang, X. Ling, H. Peng, L. Liu, and L. Tao, "Efficiency and optimal performance evaluation of organic rankine cycle for low grade waste heat power generation," Energy, 50 343-352 (2013) doi:10.1016/j.energy.2012.11.010
  4. 4) D. Wei, X. Lu, Z. Lu, and J. Gu, "Performance analysis and optimization of organic rankine cycle (orc) for waste heat recovery," Energy Convers. Manag., 48 (4) 1113-1119 (2007) doi:10.1016/j.enconman.2006.10.020
  5. 5) J. Li, G. Pei, Y. Li, and J. Ji, "Evaluation of external heat loss from a small-scale expander used in organic rankine cycle," Appl. Therm. Eng., 31 (14-15) 2694-2701 (2011) doi:10.1016/j.applthermaleng.2011.04.039
  6. 6) V. Pethurajan, S. Sivan, and G.C. Joy, "Issues, comparisons, turbine selections and applications – an overview in organic rankine cycle," Energy Convers. Manag., 166 474-488 (2018) doi:10.1016/j.enconman.2018.04.058
  7. 7) H. Tian, X. Wang, G. Shu, M. Wu, N. Yan, and X. Ma, "A quantitative risk-assessment system (qr-as) evaluating operation safety of organic rankine cycle using flammable mixture working fluid," J. Hazard. Mater., 338 394-409 (2017) doi:10.1016/j.jhazmat.2017.05.039
  8. 8) C. Liu, C. He, H. Gao, H. Xie, Y. Li, S. Wu, and J. Xu, "The environmental impact of organic rankine cycle for waste heat recovery through life-cycle assessment," Energy, 56 144-154 (2013) doi:10.1016/j.energy.2013.04.045
  9. 9) S. Wang, C. Liu, C. Zhang, and X. Xu, "Thermodynamic evaluation of leak phenomenon in liquid receiver of orc systems," Appl. Therm. Eng., 141 1110-1119 (2018) doi:10.1016/j.applthermaleng.2018.06.051
  10. 10) F. Fatigati, D. Di Battista, and R. Cipollone, "Permeability effects assessment on recovery performances of small-scale orc plant," Appl. Therm. Eng., 196 117331 (2021) doi:10.1016/j.applthermaleng.2021.117331
  11. 11) P.R. Gupta, A.K. Tiwari, and Z. Said, "Solar organic rankine cycle and its poly-generation applications – a review," Sustain. Energy Technol. Assessments, 49 101732 (2022) doi:10.1016/j.seta.2021.101732
  12. 12) P. Varshil, and D. Deshmukh, "A comprehensive review of waste heat recovery from a diesel engine using organic rankine cycle," Energy Reports, 7 3951-3970 (2021) doi:10.1016/j.egyr.2021.06.081
  13. 13) K. Kavathia, and P. Prajapati, "A review on biomass-fired chp system using fruit and vegetable waste with regenerative organic rankine cycle (rorc)," Mater. Today Proc., 43 572-578 (2021) doi:10.1016/j.matpr.2020.12.052
  14. 14) D. Gonidaki, and E. Bellos, "A detailed review of organic rankine cycles driven by combined heat sources," Energies, 18 (3) 526 (2025) doi:10.3390/en18030526
  15. 15) C. Wieland, C. Schifflechner, F. Dawo, and M. Astolfi, "The organic rankine cycle power systems market: recent developments and future perspectives," Appl. Therm. Eng., 224 119980 (2023) doi:10.1016/j.applthermaleng.2023.119980
  16. 16) P. Colonna, E. Casati, C. Trapp, T. Mathijssen, J. Larjola, T. Turunen-Saaresti, and A. Uusitalo, "Organic rankine cycle power systems: from the concept to current technology, applications, and an outlook to the future," J. Eng. Gas Turbines Power, 137 (10) (2015) doi:10.1115/1.4029884
  17. 17) M.E. Mondejar, J.G. Andreasen, L. Pierobon, U. Larsen, M. Thern, and F. Haglind, "A review of the use of organic rankine cycle power systems for maritime applications," Renew. Sustain. Energy Rev., 91 126-151 (2018) doi:10.1016/j.rser.2018.03.074
  18. 18) C.E. Sprouse, "Review of organic rankine cycles for internal combustion engine waste heat recovery: latest decade in review," Sustainability, 16 (5) 1924 (2024) doi:10.3390/su16051924
  19. 19) C. Sprouse, and C. Depcik, "Review of organic rankine cycles for internal combustion engine exhaust waste heat recovery," Appl. Therm. Eng., 51 (1-2) 711-722 (2013) doi:10.1016/j.applthermaleng.2012.10.017
  20. 20) L. Shi, G. Shu, H. Tian, and S. Deng, "A review of modified organic rankine cycles (orcs) for internal combustion engine waste heat recovery (ice-whr)," Renew. Sustain. Energy Rev., 92 95-110 (2018) doi:10.1016/j.rser.2018.04.023
  21. 21) J. Bao, and L. Zhao, "A review of working fluid and expander selections for organic rankine cycle," Renew. Sustain. Energy Rev., 24 325-342 (2013) doi:10.1016/j.rser.2013.03.040
  22. 22) T. Widianti, and H. Firdaus, "A decade of organic rankine cycle research trends and evolution: a bibliometric analysis," Evergreen, 11 (3) 2479-2503 (2024) doi:10.5109/7236890
  23. 23) D.I. Permana, D. Rusirawan, and I. Farkas, "A bibliometric analysis of the application of solar energy to the organic rankine cycle," Heliyon, 8 (4) e09220 (2022) doi:10.1016/j.heliyon.2022.e09220
  24. 24) M. Imran, F. Haglind, M. Asim, and J. Zeb Alvi, "Recent research trends in organic rankine cycle technology: a bibliometric approach," Renew. Sustain. Energy Rev., 81 552-562 (2018) doi:10.1016/j.rser.2017.08.028
  25. 25) R. Dickes, E. Casati, A. Desideri, V. Lemort, and S. Quoilin, "Solar-powered organic rankine cycles: a technical and historical review," Renew. Sustain. Energy Rev., 212 115319 (2025) doi:10.1016/j.rser.2024.115319
  26. 26) N.S. Husin, C.W. Lim, K. Ng, W.S.W. Abdullah, K.H. Eng, S.P. Koh, and S.K. Tiong, "Brief review of working fluid selection for organic rankine cycle," in: 2023: p. 020015 doi:10.1063/5.0138444
  27. 27) P. Arjunan, J.H. Gnana Muthu, S.L. Somanasari Radha, and A. Suryan, "Selection of working fluids for solar organic rankine cycle—a review," Int. J. Energy Res., 46 (14) 20573-20599 (2022) doi:10.1002/er.7723
  28. 28) P. Linke, A. Papadopoulos, and P. Seferlis, "Systematic methods for working fluid selection and the design, integration and control of organic rankine cycles—a review," Energies, 8 (6) 4755-4801 (2015) doi:10.3390/en8064755
  29. 29) C.N. Markides, A. Bardow, M. De Paepe, C. De Servi, J. Groß, A.J. Haslam, S. Lecompte, A.I. Papadopoulos, O.A. Oyewunmi, P. Seferlis, J. Schilling, P. Linke, H. Tian, and G. Shu, "Working fluid and system optimisation of organic rankine cycles via computer-aided molecular design: a review," Prog. Energy Combust. Sci., 107 101201 (2025) doi:10.1016/j.pecs.2024.101201
  30. 30) G. Raju, and N.R. Kanidarapu, "A review on efficiency improvement methods in organic rankine cycle system: an exergy approach," Int. J. Adv. Appl. Sci., 11 (1) 1 (2022) doi:10.11591/ijaas.v11.i1.pp1-10
  31. 31) M. Sharma, and R. Dev, "Review and preliminary analysis of organic rankine cycle based on turbine inlet temperature," Evergreen, 5 (3) 22-33 (2018) doi:10.5109/1957497
  32. 32) S. Pathak, and S.K. Shukla, "A review on the performance of organic rankine cycle with different heat sources and absorption chillers," Distrib. Gener. Altern. Energy J., 33 (2) 6-37 (2018) doi:10.1080/21563306.2018.12002409
  33. 33) G. Zywica, T.Z. Kaczmarczyk, and E. Ihnatowicz, "A review of expanders for power generation in small-scale organic rankine cycle systems: performance and operational aspects," Proc. Inst. Mech. Eng. Part A J. Power Energy, 230 (7) 669-684 (2016) doi:10.1177/0957650916661465
  34. 34) H. Snyder, "Literature review as a research methodology: an overview and guidelines," J. Bus. Res., 104 333-339 (2019) doi:10.1016/j.jbusres.2019.07.039
  35. 35) J.M. Smith, H.C. Van Ness, M.M. Abbott, and M.T. Swihart, "Introduction to chemical engineering thermodynamics," McGraw-Hill Singapore, 1949
  36. 36) A.E. Morris, G. Geiger, and H.A. Fine, "Handbook on material and energy balance calculations in material processing," John Wiley & Sons, 2012
  37. 37) A. Elhanafi, A. Fleming, G. Macfarlane, and Z. Leong, "Numerical energy balance analysis for an onshore oscillating water column–wave energy converter," Energy, 116 539-557 (2016) doi:10.1016/j.energy.2016.09.118
  38. 38) M. Saini, N. Hamzah, and D.P. Utomo, "Energy balance analysis of Takalar (Punagaya) coal-fired power plant unit 2 based on load variation," Sinergi Journal of Mechanical Engineering, 18 (2) 257-264 (2021) doi:10.31963/sinergi.v18i2.2693
  39. 39) R. Sirait, E. Maulana, and D. Mahardika, "Energy balance analysis of a 75 kg/h capacity pyrolysis reactor" in: In Proceedings of the National Research Seminar, LPPM UMJ, 2020
  40. 40) D. Bernardi, E. Pawlikowski, and J. Newman, "A general energy balance for battery systems," J. Electrochem. Soc., 132 (1) 5-12 (1985) doi:10.1149/1.2113792
  41. 41) M.Z.A. Karim, A. Alrasheedy, and A.A. Gaafar, "Compensated mass balance method for oil pipeline leakage detection using scada," Int. J. Comput. Sci. Secur., 9 293-302 (2015)
  42. 42) S.M.S. Mahmoudi, N. Sarabchi, M. Yari, and M.A. Rosen, "Exergy and exergoeconomic analyses of a combined power producing system including a proton exchange membrane fuel cell and an organic rankine cycle," Sustain., 11 (12) (2019) doi:10.3390/su10023264
  43. 43) K. Rahbar, S. Mahmoud, R.K. Al-Dadah, N. Moazami, and S.A. Mirhadizadeh, "Review of organic rankine cycle for small-scale applications," Energy Convers. Manag., 134 135-155 (2017) doi:10.1016/j.enconman.2016.12.023
  44. 44) N.F. Tumen Ozdil, M.R. Segmen, and A. Tantekin, "Thermodynamic analysis of an organic rankine cycle (orc) based on industrial data," Appl. Therm. Eng., 91 43-52 (2015) doi:10.1016/j.applthermaleng.2015.07.079
  45. 45) C. Carcasci, R. Ferraro, and E. Miliotti, "Thermodynamic analysis of an organic rankine cycle for waste heat recovery from gas turbines," Energy, 65 91-100 (2014) doi:10.1016/j.energy.2013.11.080
  46. 46) C. Tan, and F. Dong, "Sensor Instrumentation for Flow Measurement," in: Encycl. Sensors Biosens., Elsevier, 2023: pp. 536-554 doi:10.1016/B978-0-12-822548-6.00074-1
  47. 47) A. Wang, "What is the difference between a coriolis mass flow meter and a thermal mass flow meter," (2023)
  48. 48) N. Casari, E. Fadiga, M. Pinelli, S. Randi, and A. Suman, "Pressure pulsation and cavitation phenomena in a micro-orc system," Energies, 12 (11) 2186 (2019) doi:10.3390/en12112186
  49. 49) M. Bianchi, L. Branchini, A. De Pascale, V. Orlandini, S. Ottaviano, M. Pinelli, P.R. Spina, and A. Suman, "Experimental performance of a micro-orc energy system for low grade heat recovery," Energy Procedia, 129 899-906 (2017) doi:10.1016/j.egypro.2017.09.096
  50. 50) M.A. Ancona, M. Bianchi, L. Branchini, A. De Pascale, F. Melino, V. Orlandini, S. Ottaviano, A. Peretto, M. Pinelli, P.R. Spina, and A. Suman, "A micro-orc energy system: preliminary performance and test bench development," Energy Procedia, 101 814-821 (2016) doi:10.1016/j.egypro.2016.11.103
  51. 51) F. Fatigati, D. Vittorini, M. Di Bartolomeo, and R. Cipollone, "Experimental and theoretical analysis of a micro-cogenerative solar orc-based unit equipped with a variable speed sliding rotary vane expander," Energy Convers. Manag. X, 20 100428 (2023) doi:10.1016/j.ecmx.2023.100428
  52. 52) M. Imran, R. Pili, M. Usman, and F. Haglind, "Dynamic modeling and control strategies of organic rankine cycle systems: methods and challenges," Appl. Energy, 276 115537 (2020) doi:10.1016/j.apenergy.2020.115537
  53. 53) Z. Miao, J. Xu, X. Yang, and J. Zou, "Operation and performance of a low temperature organic rankine cycle," Appl. Therm. Eng., 75 1065-1075 (2015) doi:10.1016/j.applthermaleng.2014.10.065
  54. 54) Y.-Q. Feng, T.-C. Hung, S.-L. Wu, C.-H. Lin, B.-X. Li, K.-C. Huang, and J. Qin, "Operation characteristic of a r123-based organic rankine cycle depending on working fluid mass flow rates and heat source temperatures," Energy Convers. Manag., 131 55-68 (2017) doi:10.1016/j.enconman.2016.11.004
  55. 55) G. Shen, F. Yuan, Y. Li, and W. Liu, "The energy flow method for modeling and optimization of organic rankine cycle (orc) systems," Energy Convers. Manag., 199 111958 (2019) doi:10.1016/j.enconman.2019.111958
  56. 56) V. Badescu, M.H.K. Aboaltabooq, H. Pop, V. Apostol, M. Prisecaru, and T. Prisecaru, "Avoiding malfunction of orc-based systems for heat recovery from internal combustion engines under multiple operation conditions," Appl. Therm. Eng., 150 977-986 (2019) doi:10.1016/j.applthermaleng.2019.01.046
  57. 57) V. Vodicka, V. Novotny, J. Mascuch, and M. Kolovratnik, "Impact of major leakages on characteristics of a rotary vane expander for orc," Energy Procedia, 129 387-394 (2017) doi:10.1016/j.egypro.2017.09.249
  58. 58) C. Balaji, B. Srinivasan, and S. Gedupudi, "Heat exchangers," in: Heat Transf. Eng., Elsevier, 2021: pp. 199-231 doi:10.1016/B978-0-12-818503-2.00007-1
  59. 59) F. Calise, A. Macaluso, P. Pelella, and L. Vanoli, "A comparison of heat transfer correlations applied to an organic rankine cycle," Eng. Sci. Technol. an Int. J., 21 (6) 1164-1180 (2018) doi:10.1016/j.jestch.2018.09.009
  60. 60) F. Yang, H. Zhang, Z. Yu, E. Wang, F. Meng, H. Liu, and J. Wang, "Parametric optimization and heat transfer analysis of a dual loop orc (organic rankine cycle) system for cng engine waste heat recovery," Energy, 118 753-775 (2017) doi:10.1016/j.energy.2016.10.119
  61. 61) H.G. Zhang, E.H. Wang, and B.Y. Fan, "Heat transfer analysis of a finned-tube evaporator for engine exhaust heat recovery," Energy Convers. Manag., 65 438-447 (2013) doi:10.1016/j.enconman.2012.09.017
  62. 62) P. Song, W. Zhuge, Y. Zhang, L. Zhang, and H. Duan, "Unsteady leakage flow through axial clearance of an orc scroll expander," Energy Procedia, 129 355-362 (2017) doi:10.1016/j.egypro.2017.09.221
  63. 63) X. Zheng, X. Luo, J. Luo, J. Chen, Y. Liang, Z. Yang, Y. Chen, and H. Wang, "Experimental investigation of operation behavior of plate heat exchangers and their influences on organic rankine cycle performance," Energy Convers. Manag., 207 112528 (2020) doi:10.1016/j.enconman.2020.112528
  64. 64) N. Nayak, A.G. Mohapatra, and A. Khanna, "Comprehensive review of fiber bragg grating sensors: principles, technologies, and diverse applications across industries," Tuijin Jishu/Journal Propuls. Technol., 45 (3) 74-85 (2024)
  65. 65) M. Mieloszyk, K. Majewska, G. Zywica, T.Z. Kaczmarczyk, M. Jurek, and W. Ostachowicz, "Fibre bragg grating sensors as a measurement tool for an organic rankine cycle micro-turbogenerator," Measurement, 157 107666 (2020) doi:10.1016/j.measurement.2020.107666
  66. 66) M. Loman, and Z.M. Hafizi, "Leak detection in a pipe using Fibre Bragg Grating sensor," in: IOP Conf. Ser. Mater. Sci. Eng., 2019 doi:10.1088/1757-899X/469/1/012111
  67. 67) Q. Hou, "An fbg strain sensor-based npw method for natural gas pipeline leakage detection," Math. Probl. Eng., 2021 (2021) doi:10.1155/2021/5548503
  68. 68) L. Yang, T. Liu, J. Lv, and G. Si, "A two fiber Bragg grating gas leakage detection sensor," in: 2012 Photonics Glob. Conf. PGC 2012, 2012 doi:10.1109/PGC.2012.6457927
  69. 69) S. Saad, and L. Hassine, "Hydrogen detection with fbg sensor technology for disaster prevention," Photonic Sensors, 3 (3) (2013) doi:10.1007/s13320-013-0109-4
  70. 70) V. Marletta, "Design of an fbg based water leakage monitoring system, case of study: an fbg pressure sensor," IEEE Instrum. Meas. Mag., 24 (5) (2021) doi:10.1109/MIM.2021.9491010
  71. 71) O.C. Inalegwu, R.K. Saha, M.K. Pullagura, T.P. Sander, K. Dey, J.D. Smith, R.J. O’Malley, R.E. Gerald II, and J. Huang, "Distributed sensing for early detection of water leakages in the burner area of an electric arc furnace using optical fiber sensors," IEEE Trans. Instrum. Meas., 73 7007712 (2024)
  72. 72) Y. Zhang, C. Chen, Y. Zheng, Y. Shao, and C. Sun, "Application of fiber bragg grating sensor technology to leak detection and monitoring in diaphragm wall joints: a field study," Sensors (Switzerland), 21 (2) (2021) doi:10.3390/s21020441
  73. 73) M. Jurek, T. Kaczmarczyk, K. Majewska, M. Mieloszyk, W. Ostachowicz, and G. Zywica, "Fibre bragg grating sensors application for structural health monitoring of an organic rankine cycle microturbine components," in: Proc. 7th Asia-Pacific Work. Struct. Heal. Monit. APWSHM 2018, 2018
  74. 74) M. Prisbrey, D. Pereira, J. Greenhall, E. Davis, P. Vakhlamov, C. Chavez, and C. Pantea, "Machine learning with applications noninvasive pressure monitoring using acoustic resonance spectroscopy and machine learning," Mach. Learn. with Appl., 18 (March) 100589 (2024) doi:10.1016/j.mlwa.2024.100589
  75. 75) S. Meniconi, A. Rubin, L. Tirello, A. Doro, B. Brunone, and C. Capponi, "Mapping pressure surge source in urban water networks: integrating low- and high-frequency pressure data with an illustrative real case study," Water Resour. Res., 60 (8) (2024) doi:10.1029/2023WR036773
  76. 76) L. Zhao, J. Pan, and X. Lan, "Design of fire water supply pipeline pressure monitoring system based on lora," IMCEC 2024 - IEEE 6th Adv. Inf. Manag. Commun. Electron. Autom. Control Conf., 6 401-405 (2024) doi:10.1109/IMCEC59810.2024.10575566
  77. 77) S. El-Zahab, and T. Zayed, "Leak detection in water distribution networks: an introductory overview," Smart Water, 4 (1) 5 (2019) doi:10.1186/s40713-019-0017-x
  78. 78) E. Farah, and I. Shahrour, "Water leak detection: a comprehensive review of methods, challenges, and future directions," Water (Switzerland), 16 (20) (2024) doi:10.3390/w16202975
  79. 79) N.V.S. Korlapati, F. Khan, Q. Noor, S. Mirza, and S. Vaddiraju, "Review and analysis of pipeline leak detection methods," J. Pipeline Sci. Eng., 2 (4) (2022) doi:10.1016/j.jpse.2022.100074
  80. 80) L. Zhao, Z. Cao, and J. Deng, "A review of leak detection methods based on pressure waves in gas pipelines," Meas. J. Int. Meas. Confed., 236 (March) 115062 (2024) doi:10.1016/j.measurement.2024.115062
  81. 81) A. Abdulshaheed, F. Mustapha, and A. Ghavamian, "A pressure-based method for monitoring leaks in a pipe distribution system: a review," Renew. Sustain. Energy Rev., 69 (August 2016) 902-911 (2017) doi:10.1016/j.rser.2016.08.024
  82. 82) H. Tan, Q. Zhao, N. Sun, and Y. Li, "Enhancement of energy performance in a boil-off gas re-liquefaction system of lng carriers using ejectors," Energy Convers. Manag., 126 875-888 (2016) doi:10.1016/j.enconman.2016.08.031
  83. 83) M. Gorawski, A. Gorawska, and K. Pasterak, "The tube algorithm: discovering trends in time series for the early detection of fuel leaks from underground storage tanks," Expert Syst. Appl., 90 356-373 (2017) doi:10.1016/j.eswa.2017.08.016
  84. 84) J.W. Maresca, J.W. Starr, R.F. Wise, R.W. Hillger, and A.N. Tafuri, "Evaluation of volumetric leak detection systems for large underground tanks," J. Hazard. Mater., 34 (3) 335-361 (1993) doi:10.1016/0304-3894(93)85098-Y
  85. 85) A. Mtibaa, V. Sessa, G. Guerassimoff, and S. Alajarin, "Refrigerant leak detection in industrial vapor compression refrigeration systems using machine learning," Int. J. Refrig., 161 (January) 51-61 (2024) doi:10.1016/j.ijrefrig.2024.02.016
  86. 86) N. Stafford, M; Williams, "Pipeline leak detection study," 1996
  87. 87) S. Oven, "Leak detection in pipelines by the use of state and parameter estimation sindre oven," (2014)
  88. 88) Y. Shi, J. Chang, Y. Wang, X. Zhao, Q. Zhang, and L. Yang, "Gas leakage detection and pressure difference identification by asymmetric differential pressure method," Chinese J. Mech. Eng. (English Ed., 35 (1) 1-9 (2022) doi:10.1186/s10033-022-00697-1
  89. 89) S. Choi, S. Krumdieck, D. Modeling, M. Boundary, and L. Parameter, "Dynamic modeling of organic rankine cycle ( orc ) system for fault diagnosis and control system design," Proc. 38th New Zeal. Geotherm. Work., (November) (2016)
  90. 90) B. Lei, Y.T. Wu, C.F. Ma, W. Wang, and R.P. Zhi, "Theoretical analyses of pressure losses in organic rankine cycles," Energy Convers. Manag., 153 (July) 157-162 (2017) doi:10.1016/j.enconman.2017.09.074
  91. 91) H. Dalbakken, and I.S. Ertesvåg, "Safety aspects of organic rankine cycles (orc) with combustible working fluid and sub-ambient condenser pressure," Energy Reports, 11 (November 2023) 877-886 (2024) doi:10.1016/j.egyr.2023.12.050
  92. 92) M. Irl, C. Schifflechner, C. Wieland, and H. Spliethoff, "Advanced monitoring of geothermal organic rankine cycles," Renew. Energy, 217 (January) (2023) doi:10.1016/j.renene.2023.119124
  93. 93) P.M. Bach, and J.K. Kodikara, "Reliability of infrared thermography in detecting leaks in buried water reticulation pipes," IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 10 (9) 4210-4224 (2017) doi:10.1109/JSTARS.2017.2708817
  94. 94) Chunli Fan, Fengrui Sun, and Li Yang, "Investigation on nondestructive evaluation of pipelines using infrared thermography," in: 2005 Jt. 30th Int. Conf. Infrared Millim. Waves 13th Int. Conf. Terahertz Electron., IEEE, n.d.: pp. 339-340 doi:10.1109/ICIMW.2005.1572551
  95. 95) A. Berg, and J. Ahlberg, "Classification of leakage detections acquired by airborne thermography of district heating networks," in: 2014 8th IAPR Work. Pattern Reconition Remote Sens., IEEE, 2014: pp. 1-4 doi:10.1109/PRRS.2014.6914288
  96. 96) O. Friman, P. Follo, J. Ahlberg, and S. Sjokvist, "Methods for large-scale monitoring of district heating systems using airborne thermography," IEEE Trans. Geosci. Remote Sens., 52 (8) 5175-5182 (2014) doi:10.1109/TGRS.2013.2287238
  97. 97) R.K. Parida, V. Thyagarajan, and S. Menon, "A thermal imaging based wireless sensor network for automatic water leakage detection in distribution pipes," in: 2013 IEEE Int. Conf. Electron. Comput. Commun. Technol., IEEE, 2013: pp. 1-6 doi:10.1109/CONECCT.2013.6469289
  98. 98) A. Massaro, A. Panarese, and A. Galiano, "Technological Platform for Hydrogeological Risk Computation and Water Leakage Detection based on a Convolutional Neural Network," in: 2021 IEEE Int. Work. Metrol. Ind. 4.0 IoT, IEEE, 2021: pp. 225-230 doi:10.1109/MetroInd4.0IoT51437.2021.9488561
  99. 99) M. Yahia, R. Gawai, T. Ali, M.M. Mortula, L. Albasha, and T. Landolsi, "Non-destructive water leak detection using multitemporal infrared thermography," IEEE Access, 9 72556-72567 (2021) doi:10.1109/ACCESS.2021.3078415
  100. 100) D. Dai, X. Wang, Y. Zhang, L. Zhao, and J. Li, "Leakage Region Detection of Gas Insulated Equipment by Applying Infrared Image Processing Technique," in: 2017 9th Int. Conf. Meas. Technol. Mechatronics Autom., IEEE, 2017: pp. 94-98 doi:10.1109/ICMTMA.2017.0030
  101. 101) B. Liu, H. Ma, X. Zheng, L. Peng, and A. Xiao, "Monitoring and Detection of Combustible Gas Leakage by Using Infrared Imaging," in: 2018 IEEE Int. Conf. Imaging Syst. Tech., IEEE, 2018: pp. 1-6 doi:10.1109/IST.2018.8577102
  102. 102) Z. Rui-zhi, W. Tao, Z. Ling, F. Wei, and Z. Tong, "Thermography autofocus applied in air leak location," in: Proc. 2011 Int. Conf. Fluid Power Mechatronics, IEEE, 2011: pp. 196-201 doi:10.1109/FPM.2011.6045756
  103. 103) O. Attallah, and A.M. Elhelw, "Gas Leakage Recognition Using Manifold Convolutional Neural Networks and Infrared Thermal Images," in: 2023 Congr. Comput. Sci. Comput. Eng. & Appl. Comput., IEEE, 2023: pp. 2003-2008 doi:10.1109/CSCE60160.2023.00329
  104. 104) K. Xu, Z. Yuan, J. Zhang, Y. Ji, X. He, and H. Yang, "SF6 Gas Infrared Thermal Imaging Leakage Detection Based on Faster-RCNN," in: 2019 Int. Conf. Smart Grid Electr. Autom., IEEE, 2019: pp. 36-40 doi:10.1109/ICSGEA.2019.00017
  105. 105) S. Xu, "Research on infrared detection and intelligent identification technology of oil and gas pipeline leakage," in: 2022 Int. Conf. Artif. Intell. Inf. Process. Cloud Comput., IEEE, 2022: pp. 133-136 doi:10.1109/AIIPCC57291.2022.00036
  106. 106) M.A. Adegboye, W.-K. Fung, and A. Karnik, "Recent advances in pipeline monitoring and oil leakage detection technologies: principles and approaches," Sensors, 19 (11) 2548 (2019) doi:10.3390/s19112548
  107. 107) H. Lu, T. Iseley, S. Behbahani, and L. Fu, "Leakage detection techniques for oil and gas pipelines: state-of-the-art," Tunn. Undergr. Sp. Technol., 98 103249 (2020) doi:10.1016/j.tust.2019.103249
  108. 108) R. Doshmanziari, H. Khaloozadeh, and A. Nikoofard, "Gas pipeline leakage detection based on sensor fusion under model-based fault detection framework," J. Pet. Sci. Eng., 184 106581 (2020) doi:10.1016/j.petrol.2019.106581
  109. 109) H. Yang, X.-F. Yao, S. Wang, L. Yuan, Y.-C. Ke, and Y.-H. Liu, "Simultaneous determination of gas leakage location and leakage rate based on local temperature gradient," Measurement, 133 233-240 (2019) doi:10.1016/j.measurement.2018.10.017
  110. 110) L.M. Golston, N.F. Aubut, M.B. Frish, S. Yang, R.W. Talbot, C. Gretencord, J. McSpiritt, and M.A. Zondlo, "Natural gas fugitive leak detection using an unmanned aerial vehicle: localization and quantification of emission rate," Atmosphere (Basel)., 9 (9) 333 (2018) doi:10.3390/atmos9090333
  111. 111) "MSA Gas Detection Handbook," 5th ed., Mine Safety Appliances Company, 2016
  112. 112) S. Adenubi, D. Appah, E. Okafor, and V. Aimikhe, "A review of leak detection systems for natural gas pipelines and facilities," J. Energy Technol. Policy, (2023) doi:10.7176/JETP/13-2-02
  113. 113) D. Appah, V. Aimikhe, and W. Okologume, "Assessment of Gas Leak Detection Techniques in Natural Gas Infrastructure: A Review," in: Day 3 Wed, August 04, 2021, SPE, 2021 doi:10.2118/208236-MS
  114. 114) PCLA, "What makes thermal imaging effective for finding pipe leaks?," (2024)
  115. 115) A.P. Ravikumar, J. Wang, and A.R. Brandt, "Are optical gas imaging technologies effective for methane leak detection?," Environ. Sci. Technol., 51 (1) 718-724 (2017) doi:10.1021/acs.est.6b03906
  116. 116) J. Shi, Y. Chang, C. Xu, F. Khan, G. Chen, and C. Li, "Real-time leak detection using an infrared camera and faster r-cnn technique," Comput. Chem. Eng., 135 106780 (2020) doi:10.1016/j.compchemeng.2020.106780
  117. 117) Q. Wang, M. Xing, Y. Sun, X. Pan, and Y. Jing, "Optical gas imaging for leak detection based on improved deeplabv3+ model," Opt. Lasers Eng., 175 108058 (2024) doi:10.1016/j.optlaseng.2024.108058
  118. 118) S. Chen, H. You, J. Xu, M. Wei, T. Xu, and H. Wang, "Leakage monitoring of carbon dioxide injection well string using distributed optical fiber sensor," Pet. Res., (2024) doi:10.1016/j.ptlrs.2024.08.003
  119. 119) R. Tangudu, and P.K. Sahu, "Review on the developments and potential applications of the fiber optic distributed temperature sensing system," IETE Tech. Rev., 39 (3) 553-567 (2022) doi:10.1080/02564602.2021.1874551
  120. 120) M.S. Jadin, and K.H. Ghazali, "Gas Leakage Detection Using Thermal Imaging Technique," in: 2014 UKSim-AMSS 16th Int. Conf. Comput. Model. Simul., IEEE, 2014: pp. 302-306 doi:10.1109/UKSim.2014.95
  121. 121) S. Datta, and S. Sarkar, "A review on different pipeline fault detection methods," J. Loss Prev. Process Ind., 41 97-106 (2016) doi:10.1016/j.jlp.2016.03.010
  122. 122) P.-S. Murvay, and I. Silea, "A survey on gas leak detection and localization techniques," J. Loss Prev. Process Ind., 25 (6) 966-973 (2012) doi:10.1016/j.jlp.2012.05.010
  123. 123) C. Baldwin, "Fiber Optic Sensors in the Oil and Gas Industry," in: Opto-Mechanical Fiber Opt. Sensors, Elsevier, 2018: pp. 211-236 doi:10.1016/B978-0-12-803131-5.00008-8
  124. 124) M.S. Jadin, and S. Taib, "Recent progress in diagnosing the reliability of electrical equipment by using infrared thermography," Infrared Phys. Technol., 55 (4) 236-245 (2012) doi:10.1016/j.infrared.2012.03.002
  125. 125) J. Wang, J. Ji, A.P. Ravikumar, S. Savarese, and A.R. Brandt, "VideoGasNet: deep learning for natural gas methane leak classification using an infrared camera," Energy, 238 121516 (2022) doi:10.1016/j.energy.2021.121516
  126. 126) S. Xu, X. Wang, Q. Sun, and K. Dong, "MWIRGas-yolo: gas leakage detection based on mid-wave infrared imaging," Sensors, 24 (13) 4345 (2024) doi:10.3390/s24134345
  127. 127) H. Yu, J. Wang, Z. Wang, J. Yang, K. Huang, G. Lu, F. Deng, and Y. Zhou, "A lightweight network based on local–global feature fusion for real-time industrial invisible gas detection with infrared thermography," Appl. Soft Comput., 152 111138 (2024) doi:10.1016/j.asoc.2023.111138
  128. 128) M. Ayaz, and H. Yüksel, "Design of a new cost-efficient automation system for gas leak detection in industrial buildings," Energy Build., 200 1-10 (2019) doi:10.1016/j.enbuild.2019.07.038
  129. 129) James Casey, "Automatic Leak Detection System Cost Estimates," 2024
  130. 130) L. Ren, T. Jiang, Z. Jia, D. Li, C. Yuan, and H. Li, "Pipeline corrosion and leakage monitoring based on the distributed optical fiber sensing technology," Measurement, 122 57-65 (2018) doi:10.1016/j.measurement.2018.03.018
  131. 131) Z. Rui, G. Han, H. Zhang, S. Wang, H. Pu, and K. Ling, "A new model to evaluate two leak points in a gas pipeline," J. Nat. Gas Sci. Eng., 46 491-497 (2017) doi:10.1016/j.jngse.2017.08.025
  132. 132) S. Zhou, Z. O’Neill, and C. O’Neill, "A review of leakage detection methods for district heating networks," Appl. Therm. Eng., 137 567-574 (2018) doi:10.1016/j.applthermaleng.2018.04.010
  133. 133) Fluke, "Thermal imaging inspection checklist," (2024)
  134. 134) D. Colbourne, and A.L. Vonsild, "Detection of r290 leaks in rachp equipment using ultrasonic sensors," Int. J. Refrig., 151 342-353 (2023) doi:10.1016/j.ijrefrig.2023.03.015
  135. 135) J.C. Lee, Y.R. Choi, and J.W. Cho, "Pipe leakage detection using ultrasonic acoustic signals," Sensors Actuators A Phys., 349 (2023) doi:10.1016/j.sna.2022.114061
  136. 136) T. Wang, X. Wang, and M. Hong, "Gas leak location detection based on data fusion with time difference of arrival and energy decay using an ultrasonic sensor array," Sensors (Switzerland), 18 (9) (2018) doi:10.3390/s18092985
  137. 137) Xu Mengjie, and W. Tao, "Study on gas leakage localization method based on ultrasonic sensor area array," in: 2017 IEEE Int. Conf. Adv. Intell. Mechatronics, IEEE, 2017: pp. 136-141 doi:10.1109/AIM.2017.8014008
  138. 138) P. Liao, M. Cai, Y. Shi, and Z. Fan, "Compressed air leak detection based on time delay estimation using a portable multi-sensor ultrasonic detector," Meas. Sci. Technol., 24 (5) (2013) doi:10.1088/0957-0233/24/5/055102
  139. 139) J.Y. Julian, A.D. Duerr, J.C. Jackson, and J.E. Johns, "Identifying Small Leaks with Ultrasonic Leak Detection-Lessons Learned in Alaska," in: Day 3 Wed, Oct. 02, 2013, SPE, 2013 doi:10.2118/166418-MS
  140. 140) W. Tao, W. Dongying, P. Yu, and F. Wei, "Gas leak localization and detection method based on a multi-point ultrasonic sensor array with tdoa algorithm," Meas. Sci. Technol., 26 (9) (2015) doi:10.1088/0957-0233/26/9/095002
  141. 141) Y.-R. Choi, D. Yeo, J.-C. Lee, J.-W. Cho, and S. Moon, "A novel ultrasonic leak detection system in nuclear power plants using rigid guide tubes with fcog and snr," Sensors, 24 (20) 6524 (2024) doi:10.3390/s24206524
  142. 142) Y. Yang, "Design of an multi-sensor ultrasonic detection system for SF6 gas leak in power system," in: 2020 IEEE 4th Conf. Energy Internet Energy Syst. Integr. Connect. Grids Towar. a Low-Carbon High-Efficiency Energy Syst. EI2 2020, Institute of Electrical and Electronics Engineers Inc., 2020: pp. 3935-3939 doi:10.1109/EI250167.2020.9347155
  143. 143) H. Xue, D. Wu, Y.-P. Wang, Z.-N. Zhao, T.-F. Chen, and Y.-P. Teng, "Research on ultrasonic leak detection methods of fuel tank," in: 2015 IEEE Int. Ultrason. Symp., IEEE, 2015: pp. 1-4 doi:10.1109/ULTSYM.2015.0529
  144. 144) G.R. Piazzetta, R.C.C. Flesch, and A.L.S. Pacheco, "Leak detection in pressure vessels using ultrasonic techniques," in: Am. Soc. Mech. Eng. Press. Vessel. Pip. Div. PVP, American Society of Mechanical Engineers (ASME), 2017 doi:10.1115/PVP2017-65178
  145. 145) J. Yang, H. Mostaghimi, R. Hugo, and S.S. Park, "Pipeline leak and volume rate detections through artificial intelligence and vibration analysis," Measurement, 187 110368 (2022) doi:10.1016/j.measurement.2021.110368
  146. 146) M.K. Chamran, and S. Shafie, "A non-invasive air-coupled v-type ultrasonic leak detection system," J. Purity Util. React. Env., 4 99-107 (2015)
  147. 147) T. Chu, T. Nguyen, H. Yoo, and J. Wang, "A review of vibration analysis and its applications," Heliyon, 10 (5) e26282 (2024) doi:10.1016/j.heliyon.2024.e26282
  148. 148) B. Yan, J. Tian, X. Meng, and Z. Zhang, "Vibration characteristics and location of buried gas pipeline under the action of pulse excitation," Processes, 11 (10) 2849 (2023) doi:10.3390/pr11102849
  149. 149) D. Goyal, and B.S. Pabla, "The vibration monitoring methods and signal processing techniques for structural health monitoring: a review," Arch. Comput. Methods Eng., 23 (4) 585-594 (2016) doi:10.1007/s11831-015-9145-0
  150. 150) W. Teng, X. Ding, S. Tang, J. Xu, B. Shi, and Y. Liu, "Vibration analysis for fault detection of wind turbine drivetrains—a comprehensive investigation," Sensors, 21 (5) 1686 (2021) doi:10.3390/s21051686
  151. 151) Z. Liu, H. Li, B. Li, J. Chen, and Y. Liu, "Analysis of vibration characteristics of cross-type hydraulic pipeline based on finite element method," Appl. Sci., 13 (17) 9829 (2023) doi:10.3390/app13179829
  152. 152) P. GAO, T. YU, Y. ZHANG, J. WANG, and J. ZHAI, "Vibration analysis and control technologies of hydraulic pipeline system in aircraft: a review," Chinese J. Aeronaut., 34 (4) 83-114 (2021) doi:10.1016/j.cja.2020.07.007
  153. 153) A. Althubaiti, F. Elasha, and J.A. Teixeira, "Fault diagnosis and health management of bearings in rotating equipment based on vibration analysis – a review," J. Vibroengineering, 24 (1) 46-74 (2022) doi:10.21595/jve.2021.22100
  154. 154) M.A. Gadalla, A. Elmasry, I. Alhajri, F.H. Ashour, and H.A. Elazab, "Better heat and power integration of an existing gas-oil plant in egypt through revamping the design and organic rankine cycle," Open Chem. Eng. J., 15 (1) 1-9 (2021) doi:10.2174/1874123102115010001
  155. 155) M.H. Mohd Ghazali, and W. Rahiman, "Vibration analysis for machine monitoring and diagnosis: a systematic review," Shock Vib., 2021 (1) (2021) doi:10.1155/2021/9469318
  156. 156) H. Wang, J.-K. Guo, H. Mo, X. Zhou, and Y. Han, "Fiber optic sensing technology and vision sensing technology for structural health monitoring," Sensors, 23 (9) 4334 (2023) doi:10.3390/s23094334
  157. 157) D.A. Resen, and M.F. Altemimi, "Cost-effective, high-performance fiber sensor based on uniform fbg for multi-sensing applications," Opt. Quantum Electron., 55 (8) 712 (2023) doi:10.1007/s11082-023-04952-0
  158. 158) B. Lei, H. Yu, G. Li, Y.-T. Wu, and W. Wang, "Thermodynamic investigations on internal generator cooling for hermetic expanders in organic rankine cycles," Energy, 251 123992 (2022) doi:10.1016/j.energy.2022.123992
  159. 159) J.-F. Oudkerk, S. Quoilin, S. Declaye, L. Guillaume, E. Winandy, and V. Lemort, "Evaluation of the energy performance of an organic rankine cycle-based micro combined heat and power system involving a hermetic scroll expander," J. Eng. Gas Turbines Power, 135 (4) (2013) doi:10.1115/1.4023116