Development of comprehensive methodology for estimation of the heating, ventilation and air conditioning systems automation effectiveness.
Keywords:
power supply system, heating, ventilation and air conditioning systems, energy efficiency, thermodynamic system, mathematical model, Carnot cycle, objective functions.
Abstract
Modern methods of increasing the efficiency of energy supply of residential complexes by optimizing heating, ventilation and air conditioning systems are considered. A comprehensive analysis of the requirements for automated climate control systems for apartments and workplace has been carried out. There were proposed scheme for controlling the parameters of the heating, ventilation and air conditioning system, which includes the analysis of temperature, as well as the level of humidity and air pollution. A mathematical model has been developed for regulating the air temperature in the room, based on the determination of the key parameters of the thermodynamic system in accordance with the ideal Carnot cycle. Approaches for adapting this model for solving urgent problems and optimizing power supply systems through determining the extrema of the target functions of the heating, ventilation and air conditioning system are indicated.
References
Yoon, S., Yu, Y., Wang, J., & Wang, P. (2018). Impacts of HVACR temperature sensor offsets on building energy performance and occupant thermal comfort. Building Simulation, 12(2), 259–271. doi: 10.1007/s12273-018-0475-3.
Abramski, M., Friedrich, T., Kurz, W., & Schnell, J. (2011). Innovative Shear Connectors for a New Prestressed Composite Slab System for Buildings with Multiple HVACR Installations. Composite Construction in Steel and Concrete VI.doi: 10.1061/41142(396)9.
Sezdi, M., &Uzcan, Y. (2016). Clean room classification in the operating room. 2016 Medical Technologies National Congress (TIPTEKNO).doi: 10.1109/tiptekno.2016.7863107.
Varghese, A. C., & Palmer, G. (2016). Chapter 23 Clean room technology for low resource IVF units. Clean Room Technology in ART Clinics, 345–352. doi: 10.1201/9781315372464-24.
Silberstein, E. (2012). Residential construction academy: HVAC. Clifton Park, NY: Cengage Learning.
Muthuraman, S. (2016). Careers in HVACR: heating, ventilation, air conditioning, refrigeration. Chicago: Institute for Career Research.
Schijndel, A. W. M. V., & Schellen, H. L. (2006). Application of a Combined Indoor Climateand HVAC Model for the Indoor Climate Performance of a Museum / Anwendung eines Modells für die Kombination des Innen klimas mit dem Heizungs-, Belüftungs- und Temperatur kontrollsystem (HBT; HVAC) zur Simulation des Raumklimas in einem IV Iuseum. Restoration of Buildings and Monuments, 12(3). doi: 10.1515/rbm-2006-6052.
Wright, J., & Zhang, Y. (2008). Evolutionary Synthesis of HVAC System Configurations: Experimental Results. HVAC&R Research, 14(1), 57–72. doi: 10.1080/10789669.2008.10390993.
Balasubramanian, K., &Cellatoglu, A. (2010). Selected Home Automation and Home Security Realizations: An Improved Architecture. Smart Home Systems. doi: 10.5772/8408.
Domb, M. (2019). Smart Home Systems Based on Internet of Things. IoT and Smart Home Automation [Working Title]. doi: 10.5772/intechopen.84894.
Saito, N. (2015). The concept of an ecological smart home network. Ecological Design of Smart Home Networks, 3–16. doi: 10.1016/b978-1-78242-119-1.00001-1.
Li, Y. L., Zhao, C. L., Liu, Y. Y., Peng, Q., & Li, C. J. (2014). The Research of the Power Capsule Fan Energy Consumption in Thermal Balance Test Method. Applied Mechanics and Materials, 490-491, 902–909. doi: 10.4028/www.scientific.net/amm.490-491.902.
Abad, J. M. N., & Soleimani, A. (2016). A neuro-fuzzy fan speed controller for dynamic management of processor fan power consumption. 2016 1st Conference on Swarm Intelligence and Evolutionary Computation (CSIEC).doi: 10.1109/csiec.2016.7482121.
Simic, D., Kral, C., & Pirker, F. (2005). Simulation of the cooling circuit with an electrically operated water pump. 2005 IEEE Vehicle Power and Propulsion Conference.doi: 10.1109/vppc.2005.1554567.
Liu, X., Jiang, Y., & Zhang, T. (2016). Temperature and Humidity Independent Control (Thic) of Air-conditioning System. Berlin: Springer Berlin.
Quan, H. T. (2014). Maximum efficiency of ideal heat engines based on a small system: Correction to the Carnot efficiency at the nanoscale. PhysicalReviewE, 89(6). doi: 10.1103/physreve.89.062134.
Feidt, M. (2017). From Carnot Cycle to Carnot Heat Engine: A Case Study. Finite Physical Dimensions Optimal Thermodynamics 1, 75–97. doi: 10.1016/b978-1-78548-232-8.50003-0.
Abramski, M., Friedrich, T., Kurz, W., & Schnell, J. (2011). Innovative Shear Connectors for a New Prestressed Composite Slab System for Buildings with Multiple HVACR Installations. Composite Construction in Steel and Concrete VI.doi: 10.1061/41142(396)9.
Sezdi, M., &Uzcan, Y. (2016). Clean room classification in the operating room. 2016 Medical Technologies National Congress (TIPTEKNO).doi: 10.1109/tiptekno.2016.7863107.
Varghese, A. C., & Palmer, G. (2016). Chapter 23 Clean room technology for low resource IVF units. Clean Room Technology in ART Clinics, 345–352. doi: 10.1201/9781315372464-24.
Silberstein, E. (2012). Residential construction academy: HVAC. Clifton Park, NY: Cengage Learning.
Muthuraman, S. (2016). Careers in HVACR: heating, ventilation, air conditioning, refrigeration. Chicago: Institute for Career Research.
Schijndel, A. W. M. V., & Schellen, H. L. (2006). Application of a Combined Indoor Climateand HVAC Model for the Indoor Climate Performance of a Museum / Anwendung eines Modells für die Kombination des Innen klimas mit dem Heizungs-, Belüftungs- und Temperatur kontrollsystem (HBT; HVAC) zur Simulation des Raumklimas in einem IV Iuseum. Restoration of Buildings and Monuments, 12(3). doi: 10.1515/rbm-2006-6052.
Wright, J., & Zhang, Y. (2008). Evolutionary Synthesis of HVAC System Configurations: Experimental Results. HVAC&R Research, 14(1), 57–72. doi: 10.1080/10789669.2008.10390993.
Balasubramanian, K., &Cellatoglu, A. (2010). Selected Home Automation and Home Security Realizations: An Improved Architecture. Smart Home Systems. doi: 10.5772/8408.
Domb, M. (2019). Smart Home Systems Based on Internet of Things. IoT and Smart Home Automation [Working Title]. doi: 10.5772/intechopen.84894.
Saito, N. (2015). The concept of an ecological smart home network. Ecological Design of Smart Home Networks, 3–16. doi: 10.1016/b978-1-78242-119-1.00001-1.
Li, Y. L., Zhao, C. L., Liu, Y. Y., Peng, Q., & Li, C. J. (2014). The Research of the Power Capsule Fan Energy Consumption in Thermal Balance Test Method. Applied Mechanics and Materials, 490-491, 902–909. doi: 10.4028/www.scientific.net/amm.490-491.902.
Abad, J. M. N., & Soleimani, A. (2016). A neuro-fuzzy fan speed controller for dynamic management of processor fan power consumption. 2016 1st Conference on Swarm Intelligence and Evolutionary Computation (CSIEC).doi: 10.1109/csiec.2016.7482121.
Simic, D., Kral, C., & Pirker, F. (2005). Simulation of the cooling circuit with an electrically operated water pump. 2005 IEEE Vehicle Power and Propulsion Conference.doi: 10.1109/vppc.2005.1554567.
Liu, X., Jiang, Y., & Zhang, T. (2016). Temperature and Humidity Independent Control (Thic) of Air-conditioning System. Berlin: Springer Berlin.
Quan, H. T. (2014). Maximum efficiency of ideal heat engines based on a small system: Correction to the Carnot efficiency at the nanoscale. PhysicalReviewE, 89(6). doi: 10.1103/physreve.89.062134.
Feidt, M. (2017). From Carnot Cycle to Carnot Heat Engine: A Case Study. Finite Physical Dimensions Optimal Thermodynamics 1, 75–97. doi: 10.1016/b978-1-78548-232-8.50003-0.
Abstract views: 121 PDF Downloads: 163
Published
2021-10-28
How to Cite
Kazarova, I. (2021). Development of comprehensive methodology for estimation of the heating, ventilation and air conditioning systems automation effectiveness. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (44), 19-24. https://doi.org/10.36910/6775-2524-0560-2021-44-03
Section
Automation and Control
