Energy efficiency of small buildings with smart cooling system in the summer
Yazdan DANESHVAR, Majid SABZEHPARVAR, Seyed Amir Hossein HASHEMI
Energy efficiency of small buildings with smart cooling system in the summer
In this paper, a novel cooling control strategy as part of the smart energy system that can balance thermal comfort against building energy consumption by using the sensing and machine programming technology was investigated. For this goal, a general form of a building was coupled by the smart cooling system (SCS) and the consumption of energy with thermal comfort cooling of persons simulated by using the EnergyPlus software and compared with similar buildings without SCS. At the beginning of the research, using the data from a survey in a randomly selected group of hundreds and by analyzing and verifying the results of the specific relationship between the different groups of people in the statistical society, the body mass index (BMI) and their thermal comfort temperature were obtained, and the sample building was modeled using the EnergyPlus software. The result show that if an intelligent ventilation system that can calculate the thermal comfort temperature was used in accordance with the BMI of persons, it can save up to 35% of the cooling load of the building yearly.
smart home / heating and cooling systems / saving energy / optimal consumption of energy
[1] |
Paradiso J, Dutta P, Gellersen H, Schooler E. Smart energy systems. IEEE Pervasive Computing, 2011, 10(1): 11–12
CrossRef
Google scholar
|
[2] |
Fang X, Misra S, Xue G, Yang D. Smart grid—the new and improved power grid: a survey. IEEE Communications Surveys and Tutorials, 2012, 14(4): 944–980
CrossRef
Google scholar
|
[3] |
Lu G, De D, Song W Z. Smart grid lab: a laboratory-based smart grid test bed. In: 2010 1st IEEE International Conference on Smart Grid Communications, Gaithersburg, MD, USA, 2010, 143–148
|
[4] |
Mohsenian-Rad A H, Wong V W, Jatskevich J, Schober R, Leon-Garcia A. Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. IEEE Transactions on Smart Grid, 2010, 1(3): 320–331
CrossRef
Google scholar
|
[5] |
Zhu Z, Lambotharan S, Chin W H, Fan Z.Overview of demand management in smart grid and enabling wireless communication technologies. IEEE Wireless Communications, 2012, 19(3): 48–56
CrossRef
Google scholar
|
[6] |
Nguyen H T, Nguyen D, Le L B. Home energy management with generic thermal dynamics and user temperature preference . In: 2013 IEEE International Conference on Smart Grid Communications (Smart Grid Comm), Vancouver, BC, Canada, 2013, 552–557
|
[7] |
Zhu Z, Tang J, Lambotharan S, Chin W H, Fan Z. An integer linear programming based optimization for home demand-side management in smart grid. In: 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), Washington, DC, USA, 2012, 1–5
|
[8] |
Mohsenian-Rad A H, Leon-Garcia A. Optimal residential load control with price prediction in real-time electricity pricing environments. IEEE Transactions on Smart Grid, 2010, 1(2): 120–133
CrossRef
Google scholar
|
[9] |
Pan M S, Yeh L W, Chen Y A, Lin Y H, Tseng Y C. A WSN-based intelligent light control system considering user activities and profiles. IEEE Sensors Journal, 2008, 8(10): 1710–1721
CrossRef
Google scholar
|
[10] |
Gouy-Pailler C, Najmeddine H, Mouraud A, Suard F, Spitz C, Jay A, Maréchal P. Distance and similarity measures for sensors selection in heavily instrumented buildings: application to the INCAS platform. In: Proceedings of the CIB W78–W102, Sophia Antipolis, France, 2011, 26–28
|
[11] |
Lu J, Sookoor T, Srinivasan V, Gao G, Holben B, Stankovic J, Field E, Whitehouse K. The smart thermostat: using occupancy sensors to save energy in homes. In: Proceedings of the 8th ACM conference on embedded networked sensor systems, Zurich, Switzerland, 2010, 211–224
|
[12] |
Weiss M, Staake T, Mattern F, Fleisch E. PowerPedia: changing energy usage with the help of a community-based smartphone application. Personal and Ubiquitous Computing, 2012, 16(6): 655–664
CrossRef
Google scholar
|
[13] |
Ebrahimpour A, Maerefat M. Application of advanced glazing and overhangs in residential buildings. Energy Conversion and Management, 2011, 52(1): 212–219
CrossRef
Google scholar
|
[14] |
Singh G, Das R. A novel design of triple-hybrid absorption radiant building cooling system with desiccant dehumidification. Journal of Energy Resources Technology, 2019, 141(7): 072002
CrossRef
Google scholar
|
[15] |
Singh G, Das R. Energy saving potential of a combined solar and natural gas-assisted vapor absorption building cooling system. Journal of Solar Energy Engineering, 2019, 141(1): 011016
CrossRef
Google scholar
|
[16] |
Obasi C, Chukwu N, Ogbewey L, Asogwa C S. Design and implementation of automated healthcare software system for outpatient health maintenance. Computer Engineering and Intelligent Systems, 2016
|
[17] |
Halhoul Merabet G, Essaaidi M, Benhaddou D. A dynamic model for human thermal comfort for smart building applications. Proceedings of the Institution of Mechanical Engineers. Part I, Journal of Systems and Control Engineering, 2020, 234(4): 472–483
CrossRef
Google scholar
|
[18] |
Somelo A, Havaei, G H, Behabadi M, Hamidi A. Iranian standards for buildings, ministry office of buildings and constructions. 2001, available at website of sabanaft.com
|
[19] |
Chan A L, Chow T T, Fong S K, Lin J Z. Generation of a typical meteorological year for Hong Kong. Energy Conversion and Management, 2006, 47(1): 87–96
CrossRef
Google scholar
|
[20] |
Degelman L O. A statistically-based hourly weather data generator for driving energy simulation and equipment design software for buildings. Proceedings of Building Simulation, 1991, 91(1): 592–599
|
[21] |
Meteonorm software, documentation, Version 5.102. Iran, Tehran, 2016
|
[22] |
Ebrahimpour A, Maerefat M. A method for generation of typical meteorological year. Energy Conversion and Management, 2010, 51(3): 410–417
CrossRef
Google scholar
|
[23] |
Sabzi D, Haseli P, Jafarian M, Karimi G, Taheri M. Investigation of cooling load reduction in buildings by passive cooling options applied on roof. Energy and Buildings, 2015, 109(1): 135–142
CrossRef
Google scholar
|
[24] |
Zhang H, Arens E, Pasut W. Air temperature thresholds for indoor comfort and perceived air quality. Building Research and Information, 2011, 39(2): 134–144
CrossRef
Google scholar
|
[25] |
Candas V. Techniques of the engineer treated energy genie. Scientific Research National Center, Strasbourg, France, 2000, 1(9): 9–85 (in French)
|
/
〈 | 〉 |