Achieving better energy-efficient air conditioning - A review of technologies and strategies

Applied Energy

Volumn 104, Issue , 2013, Pages 87-104

  Chua, K J ^a   Chou, S K ^a   Yang, W M ^a   Yan, J ^b,c  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^c MÄLARDALEN UNIVERSITY   (Sweden)

Author keywords

Air conditioning; Cogeneration trigeneration; Energy efficiency; Novel cooling technologies; Waste heat recovery

Indexed keywords

COOLING SYSTEMS; COOLING TOWERS; COOLING WATER; ENERGY EFFICIENCY; ENERGY UTILIZATION; HUMIDITY CONTROL; INNOVATION; SYSTEMS ANALYSIS; TECHNOLOGY; THERMOELECTRIC EQUIPMENT; WASTE HEAT UTILIZATION;

AIR HANDLING UNITS; AIRCONDITIONING SYSTEMS; CHILLER PLANTS; COGENERATION/TRIGENERATION; COMPONENT LEVELS; COOLING EFFICIENCY; COOLING PLANTS; COOLING TECHNOLOGY; ENERGY EFFICIENT; ENERGY INPUTS; ENERGY USE; HEAVY DUTY; HOLISTIC APPROACH; HOT AND HUMID CLIMATE; INDOOR ENVIRONMENT; INDUSTRIAL PROCESSS; INNOVATIVE SYSTEMS; NOVEL DEVICES; OVERALL EFFICIENCY; PRACTICAL SOLUTIONS; RESIDENTIAL BUILDING; TOTAL ENERGY CONSUMPTION; TROPICAL CLIMATES;

AIR CONDITIONING;

AIR CONDITIONING; COGENERATION; COOLING; ENERGY EFFICIENCY; FUEL CONSUMPTION; HEATING; HOLISTIC APPROACH; INDOOR AIR; LITERATURE REVIEW; STRATEGIC APPROACH; TECHNOLOGICAL DEVELOPMENT; TROPICAL ENVIRONMENT;

EID: 84870914009     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2012.10.037     Document Type: Review

References (99)

1. Building energy data. United States; 2010. http://buildingsdatabook.eren.doe.gov/ChapterIntro1.aspx.
2. Directive 2002/91/CE of the European Parliament and of the Council of 16 December 2002 on the energy performance of buildings; 2002.
3. EECCAC (Energy Efficiency and Certification of Central Air Conditioners). Project for the directorate general transportation-energy of the commission of the European union. Final Report 2003.
4. Energy Efficient Singapore; 2005. http://www.e2singapore.gov.sg/docs/E2_Singapore.pdf.
5. IPCC. Climate change. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL, editors. The physical science basis. Contribution of the working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge: Cambridge University Press; 2007.
6. Levine M, Urge-Vorsatz D, Blok K, Geng L, Harvey D, Lang S. Residential and commercial buildings. In: Metz B, Davidson OR, Bosch PR, Dave R, Meyer LA, editors. Climate change 2007: mitigation. Contribution of working group III to the fourth assessment report of the intergovernmental panel on climate change. Cambridge: Cambridge University Press; 2007. p. 387-46.
7. Levermore G.J. A review of the IPCC assessment report four, Part 1: the IPCC process and greenhouse gas emission trends from buildings worldwide. Build Serv Eng Res Technol 2008, 29(4):349-361.
8. Morna I., Detlef P.V.V. Modeling global residential sector energy demand for heating and air conditioning in the context of climate change. Energy Policy 2009, 37:507-521.
9. Scott MJ, Huang YJ. Annex A: Technical note: methods for estimating energy consumption in buildings in effects of climate change on energy production and use in the United States. A Report by the U.S. climate change science program and the subcommittee on global change research. Washington (DC); 2007.
10. Rosenthal D.H., Gruenspecht H.K., Moran E. Effects of global warming on energy use for space heating and cooling in the United States. Energy J 1995, 16(2):77-96.
11. Scott MJ, Dirks JA, Cort KA. The adaptive value of energy efficiency programs in a warmer world: building energy efficiency offsets effects of climate change. In: Reducing uncertainty through evaluation, proceedings of the 2005 international energy program evaluation conference, August 17-19, 2005, Brooklyn (New York).
12. Huang YJ. The impact of climate change on the energy use of the U.S. residential and commercial building sectors. 2006: LBNL-60754, Lawrence Berkeley. National Laboratory, Berkeley (CA); 2006.
13. Frank Th. Climate change impacts on building heating and cooling energy demand in Switzerland. Energy Build 2005, 37(11):1175-1185.
14. Wang X., Chen D., Ren Z. Assessment of climate change impact on residential building heating and cooling energy requirement in Australia. Build Environ 2010, 45(7):1663-1682.
15. Lam T.N., Wan K.W., Wong S.L., Lam J.C. Impact of climate change on commercial sector air conditioning energy consumption in subtropical Hong Kong. Appl Energy 2010, 87(7):2321-2327.
16. Wong S.L., Wan K.W., Li H.W., Lam J.C. Impact of climate change on residential building envelope cooling loads in subtropical climates. Energy Build 2010, 42(11):2098-2103.
17. M-Cycle - Valeriy MAISOTSENKO; 2007. http://www.rexresearch.com/maisotsenko/maisotsenko.htm.
18. Zhao X., Li J.M., Riffat S.B. Numerical study of a novel counter-flow heat and mass exchanger for dew point evaporative cooling. Appl Therm Eng 2008, 28(14-15):1942-1951.
19. Riangvilaikul B., Kumar S. An experimental study of a novel dew point evaporative cooling system. Energy Build 2010, 42(5):637-644.
20. Bruno F. On-site experimental testing of a novel dew point evaporative cooler. Energy Build 2011, 43(12):3475-3483.
21. Ge T.S., Dai Y.J., Li Y., Wang R.Z. Simulation investigation on solar powered desiccant coated heat exchanger cooling system. Appl Energy 2012, 93:532-540.
22. Lazaro A., Dolado P., Marin J.M., Zalba B. PCM-air heat exchangers for free-cooling applications in buildings: empirical model and application to design. Energy Convers Manage 2009, 50(3):444-449.
23. Lazaro A., Dolado P., Marin J.M., Zalba B. PCM-air heat exchangers for free-cooling applications in buildings: experimental results of two real-scale prototypes. Energy Convers Manage 2009, 50(3):439-443.
24. Quoilin S., Lemort V., Lebrun J. Experimental study and modeling of an organic rankine cycle using scroll expander. Appl Energy 2010, 87(4):1260-1268.
25. Ma G., Li X. Exergetic optimization of a key design parameter in heat pump systems with economizer coupled with scroll compressor. Energy Convers Manage 2007, 48(4):1150-1159.
26. Ma G.Y., Zhao H.X. Experimental study of a heat pump system with flash-tank coupled with scroll compressor. Energy Build 2008, 40(5):697-701.
27. Wang X., Hwang Y., Radermacher R. Two-stage heat pump system with vapor-injected scroll compressor using R410A as a refrigerant. Int J Refrig 2009, 32(6):1442-1451.
28. Kim J.H., Groll E.A. Feasibility study of a bowtie compressor with novel capacity modulation. Int J Refrig 2007, 30(8):1427-1438.
29. Li Q., Piechna J., Müller N. Design of a novel axial impeller as a part of counter-rotating axial compressor to compress water vapor as refrigerant. Appl Energy 2011, 88(9):3156-3168.
30. Teh Y.L., Ooi K.T. Experimental study of the revolving vane (RV) compressor. Appl Therm Eng 2009, 29(14-15):3235-3245.
31. Teh Y.L., Ooi K.T. Theoretical study of a novel refrigeration compressor - Part I: design of the revolving vane (RV) compressor and its frictional losses. Int J Refrig 2009, 32(5):1092-1102.
32. Teh Y.L., Ooi K.T. Theoretical study of a novel refrigeration compressor - Part II: performance of a rotating discharge valve in the revolving vane (RV) compressor. Int J Refrig 2009, 32(5):1103-1111.
33. Teh Y.L., Ooi K.T. Theoretical study of a novel refrigeration compressor - Part III: leakage loss of the revolving vane (RV) compressor and a comparison with that of the rolling piston type. Int J Refrig 2009, 32(5):945-952.
34. Bell I.H., Groll E.A., Braun J.E. Performance of vapor compression systems with compressor oil flooding and regeneration. Int J Refrig 2011, 34(1):225-233.
35. 2 concentrations with health and other responses in commercial and institutional buildings. Indoor Air 1999, 9:226-252.
36. Wargocki P., Lagercrantz L., Witterseh T., Sundell J., Wyon D.P., Fanger P.O. Subjective perceptions, symptom intensity, and performance. a comparison of two independent studies, both changing similarly the pollution load in an office. Indoor Air 2002, 12(2):74-80.
37. Apte MG, Erdmann CA. Associations of indoor carbon dioxide concentrations, VOCs, environmental susceptibilities with mucous membrane and lower respiratory sick building syndrome symptoms in the BASE study: analyses of the 100 building dataset. Lawrence Berkeley Laboratory National Laboratory report 2002: LBNL-51570, Berkeley (CA).
38. Ginestet S., Marchio D. Control tuning of a simplified VAV system: methodology and impact on energy consumption and IAQ. Energy Build 2010, 42(8):1205-1214.
39. Lin Z., Lee C.K., Fong S., Chow T.T., Yao T., Chan A.L.S. Comparison of annual energy performances with different ventilation methods for cooling. Energy Build 2011, 43(1):130-136.
40. Ye Y., Li W. Energy analysis on VAV system with different air-side economizers in China. Energy Build 2010, 42(8):1220-1230.
41. Wachenfeldt B.J., Mysen M., Schild P.G. Air flow rates and energy saving potential in schools with demand-controlled displacement ventilation. Energy Build 2007, 39(10):1073-1079.
42. Xu X., Wang S., Sun Z., Xiao F. A model-based optimal ventilation control strategy of multi-zone VAV air-conditioning systems. Appl Therm Eng 2009, 29(1):91-104.
43. Wang J., Wang Y. Performance improvement of VAV air conditioning system through feedforward compensation decoupling and genetic algorithm. Appl Therm Eng 2008, 28(5-6):566-574.
44. Awad M.M., Ramzy K.A., Hamed A.M., Bekheit M.M. Theoretical and experimental investigation on the radial flow desiccant dehumidification bed. Appl Therm Eng 2008, 28(1):75-85.
45. 2 solution using exergy analysis method. Appl Energy 2010, 87(5):1495-1504.
46. Xiao F., Ge G., Niu X. Control performance of a dedicated outdoor air system adopting liquid desiccant dehumidification. Appl Energy 2011, 88(1):143-149.
47. Ge G., Xiao G., Xu X. Model-based optimal control of a dedicated outdoor air-chilled ceiling system using liquid desiccant and membrane-based total heat recovery. Appl Energy 2011, 88(11):4180-4190.
48. Kang Z., Liu X.H., Zhang T., Jiang Y. Performance of temperature and humidity independent control air-conditioning system in an office building. Energy Build 2011, 43(8):1895-1903.
49. Zhang L., Dang C.B., Hihara E. Performance analysis of a no-frost hybrid air conditioning system with integrated liquid desiccant dehumidification. Int J Refrig 2010, 33(1):116-124.
50. Hassan A.A.M., Hassan M.S. Dehumidification of air with a newly suggested liquid desiccant. Renew Energy 2008, 33(9):1989-1997.
51. Zhang L.Z., Zhu D.S., Deng X.H., Hua B. Thermodynamic modeling of a novel air dehumidification system. Energy Build 2005, 37(3):279-286.
52. Bergero S., Chiari A. On the performances of a hybrid air-conditioning system in different climatic conditions. Energy 2011, 36(8):5261-5273.
53. Cheng W., Pan F., Chen B., Jiang Z. Preparation and dehumidification performance of composite membrane with PVA/gelatin-silica hybrid skin layer. J Membr Sci 2010, 363(1-2):316-325.
54. La D., Dai Y., Li Y., Ge T., Wang R. Study on a novel thermally driven air conditioning system with desiccant dehumidification and regenerative evaporative cooling. Build Environ 2010, 45(11):2473-2484.
55. Venegas M., Rodríguez-Hidalgo M.C., Salgado R., Lecuona A., Rodríguez P., Gutiérrez G. Experimental diagnosis of the influence of operational variables on the performance of a solar absorption cooling system. Appl Energy 2011, 88(4):1447-1454.
56. Zhai X.Q., Wang R.Z. Experimental investigation and performance analysis on a solar adsorption cooling system with/without heat storage. Appl Energy 2010, 87(3):824-835.
57. Fong K.F., Lee C.K., Chow T.T. Comparative study of solar cooling systems with building-integrated solar collectors for use in sub-tropical regions like Hong Kong. Appl Energy 2012, 90(1):189-195.
58. Wang R.Z., Ge T.S., Cheng C.J., Ma Q., Xiong Z.Q. Solar sorption cooling systems for residential applications: options and guidelines. Int J Refrig 2009, 32:638-660.
59. Nunez T. Thermally driven cooling: Technologies - developments and applications. J Sust Energy 2010, 1(4):16-22.
60. Zhai X.Q., Qu M., Li Y., Wang R.Z. A review for research and new design options of solar absorption cooling systems. Renew Sust Energy Rev 2011, 15(9):4416-4423.
61. Du S., Wang R.Z., Lin P., Xu Z.Z., Pan Q.W., Xu S.C. Experimental studies on an air-cooled two-stage NH3-H2O solar absorption air-conditioning prototype. Energy 2012, 45(1):581-587.
62. Wang R.Z. Efficient adsorption refrigerators integrated with heat pipes. Appl Therm Eng 2008, 28(4):317-326.
63. Gong L.X., Wang R.Z., Xia Z.Z., Chen C.J. Design and performance prediction of a new generation adsorption chiller using composite adsorbent. Energy Convers Manage 2011, 52(6):2345-2350.
64. Yin Y.L., Song Z.P., Li Y., Wang R.Z., Zhai X.Q. Experimental investigation of a mini-type solar absorption cooling system under different cooling modes. Energy Build 2012, 47:131-138.
65. Zhai X.Q., Wang R.Z. Experimental investigation and theoretical analysis of the solar adsorption cooling system in a green building. Appl Therm Eng 2009, 29(1):17-27.
66. Fong K.F., Chow T.T., Lee C.K., Lin Z., Chan L.S. Comparative study of different solar cooling systems for buildings in subtropical city. Sol Energy 2010, 84(2):227-244.
67. Zhai Q.X., Wang R.Z. A review for absorbtion and adsorbtion solar cooling systems in China. Renew Sust Energy Rev 2009, 13(6-7):1523-1531.
68. Yu X., Wang R.Z., Zhai X.Q. Year round experimental study on a constant temperature and humidity air-conditioning system driven by ground source heat pump. Energy 2011, 36(2):1309-1318.
69. Rezaie B., Rosen M.A. District heating and cooling: Review of technology and potential enhancements. Appl Energy 2012, 93:2-10.
70. Chow T.T., Au W.H., Yau R., Cheng V., Chan A., Fong K.F. Applying district-cooling technology in Hong Kong. Appl Energy 2004, 79(3):275-289.
71. Chan A.L.S., Chow T.T., Fong K.F., Lin J.Z. Performance evaluation of district cooling plant with ice storage. Energy 2006, 31(14):2750-2762.
72. Chow T.T., Chan A.L.S., Song C.L. Building-mix optimization in district cooling system implementation. Appl Energy 2004, 77(1):1-13.
73. Zhen L., Lin D.M., Shu H.W., Jiang S., Zhu Y.X. District cooling and heating with seawater as heat source and sink in Dalian, China. Renew Energy 2007, 32(15):2603-2616.
74. Fumo N., Chamra L.M. Analysis of combined cooling, heating, and power systems based on source primary energy consumption. Appl Energy 2010, 87(6):2023-2030.
75. Wang RZ, Yu X, Ge TS, Li TX. The present and future of residential refrigeration, power generation and energy storage. Appl Therm Eng, in press [corrected proof available online 28 February 2012].
76. Deng J., Wang R.Z., Han G.Y. A review of thermally activated cooling technologies for combined cooling, heating and power systems. Prog Energy Combust Sci 2011, 37(2):172-203.
77. Ho J.C., Chua K.J., Chou S.K. Performance study of a microturbine system for cogeneration application. Renew Energy 2004, 29(7):1121-1133.
78. Clausse M., Meunier F., Coulié J., Herail E. Comparison of adsorption systems using natural gas fired fuel cell as heat source, for residential air conditioning. Int J Refrig 2009, 32(4):712-719.
79. Moya M., Bruno J.C., Eguia P., Torres E., Zamora I., Coronas A. Performance analysis of a trigeneration system based on a micro gas turbine and an air-cooled, indirect fired, ammonia-water absorption chiller. Appl Energy 2011, 88(12):4424-4440.
80. Kong X.Q., Wang R.Z., Wu J.Y., Huang X.H., Huangfu Y., Wu D.W., et al. Experimental investigation of a micro-combined cooling, heating and power system driven by a gas engine. Int J Refrig 2005, 28(7):977-987.
81. Mendell M.J., Fisk W.J., Kreiss K., Levin H., Alexander D., Cain W.S., et al. Improving the health of workers in indoor environments: priority research needs for a national occupational research agenda. Am J Public Health 2002, 92(9):1430-1440.
82. 2-based adaptive demand-controlled ventilation strategy in a multi-zone office building. Build Environ 2011, 46(1):124-133.
83. 2 control and energy saving in buildings. Energy Build 2011, 43(9):2499-2508.
84. Parameshwaran R., Harikrishnan S., Kalaiselvam S. Energy efficient PCM-based variable air volume air conditioning system for modern buildings. Energy Build 2010, 42(8):1353-1360.
85. Liang J., Du R. Design of intelligent comfort control system with human learning and minimum power control strategies. Energy Convers Manage 2008, 49(4):517-528.
86. Freire R.Z., Oliveira G.H.C., Mendes N. Predictive controllers for thermal comfort optimization and energy savings. Energy Build 2008, 40(7):1353-1365.
87. Chu C.M., Jong T.L. Enthalpy estimation for thermal comfort and energy saving in air conditioning system. Energy Convers Manage 2008, 49(6):1620-1628.
88. Calvino F., Gennusa M.L., Morale M., Rizzo G., Scaccianoce G. Comparing different control strategies for indoor thermal comfort aimed at the evaluation of the energy cost of quality of building. Appl Therm Eng 2010, 30(16):2386-2395.
89. Lu L., Cai W., Xie L., Li S., Soh Y.C. HVAC system optimization-in-building section. Energy Build 2005, 37(1):11-22.
90. Jayamaha L. Energy-efficient building systems: green strategies for operation and maintenance 2006, McGraw-Hill, US. 1st ed.
91. Ma Z., Wang S. Energy efficient control of variable speed pumps in complex building central air-conditioning systems. Energy Build 2009, 41(2):197-205.
92. Ma Z., Wang S. An optimal control strategy for complex building central chilled water systems for practical and real-time applications. Build Environ 2009, 44(6):1188-1198.
93. Yu F.W., Chan K.T. Experimental determination of the energy efficiency of an air-cooled chiller under part load conditions. Energy 2005, 30(10):1747-1758.
94. Yu F.W., Chan K.T. Strategy for designing more energy efficient chiller plants serving air-conditioned buildings. Build Environ 2007, 42(10):3737-3746.
95. JTC summit chiller sequencing. Energy efficiency; 2011. http://www.e2singapore.gov.sg/docs/JTC_Summit.pdf.
96. Yu F.W., Chan K.T. Improved energy management of chiller systems by multivariate and data envelopment analyses. Appl Energy 2012, 92:168-174.
97. Beghi A., Cecchinato L., Rampazzo M. A multi-phase genetic algorithm for the efficient management of multi-chiller systems. Energy Convers Manage 2011, 52(3):1650-1661.
98. Ma Z., Wang S. Supervisory and optimal control of central chiller plants using simplified adaptive models and genetic algorithm. Appl Energy 2011, 88(1):198-211.
99. čongradac V., Kulić F. Recognition of the importance of using artificial neural networks and genetic algorithms to optimize chiller operation. Energy Build 2012, 47:651-658.