Dissertation > Excellent graduate degree dissertation topics show

An Indoor Dynamic Thermal Comfort Control Method

Author: GuoDongDong
Tutor: DuanPeiYong
School: Shandong Institute of Architecture
Course: Detection Technology and Automation
Keywords: Hyperball CMAC Dynamic thermal comfort Computational experiments PMV Fuzzy PID
CLC: TP273
Type: Master's thesis
Year: 2011
Downloads: 128
Quote: 2
Read: Download Dissertation

Abstract


This article briefly discusses the importance and necessity of research indoor dynamic thermal comfort, the traditional thermal comfort control methods can not meet the thermal comfort needs of different households, and not conducive to the energy efficiency of the air conditioning system. Indoor air relative humidity in the summer home air conditioners, refrigeration environment mainly affected by the outdoor temperature and humidity, indoor temperature and household air-conditioner passive dehumidification performance factors, the strong coupling between the indoor and outdoor temperature and humidity parameters and it is difficult to establish the mathematical model characteristics difficult to design high-performance comfort control system based on the PMV index. Based hyperball CMAC neural network were established based on 1.day and 3-day summer indoor and outdoor temperature and humidity data association model. Simulation results show that the association model learning and high precision, generalization ability, can accurately predict the relative humidity of the indoor air. Learning accuracy based on 1.day data model generalization ability and prediction accuracy are higher than the model based on the 3-day data, and provides a basis for the indoor temperature setpoint calculation method based on computational experiments. The PMV index-based home air conditioning temperature setpoint computational experiment. The comfort control method without dehumidification of indoor living environment refrigeration equipment characteristics model and outdoor climatic characteristics model, historical data, using only the indoor and outdoor environmental parameters through the learning data on environmental samples and a simple calculation and experiment, by appropriate to adjust the indoor temperature, can be adaptively meet household demand for thermal comfort preferences, the PMV value is adjusted to any given range. For the deficiencies of the traditional PID control method, the use of fuzzy control theory, fuzzy PID controller is designed to make up for the shortcomings of the traditional PID control method. The simulation results show that, compared with the traditional PID control method, this control method has the advantages of small overshoot, short settling time, more suitable for indoor thermal comfort control. Finally, a dynamic thermal comfort control method, dynamic thermal comfort control is divided into comfort zones and energy-saving areas, air conditioning system run alternately in the two regions, to ensure thermal comfort households under the premise of efforts to achieve maximum energy saving. This paper mainly temperature considerations, appropriate to adjust the indoor temperature, the change of the human thermal comfort, the PMV value is changed, to achieve dynamic control of thermal comfort. The results show that the dynamic thermal comfort control method can meet the thermal comfort needs of the household, the Comfort control method than simply using the steady-state PMV index, 23.8% energy saving, energy-saving effect is more obvious proof of the dynamic thermal comfort degree control method is feasible and effective.

Related Dissertations

  1. Research on Temprature Controling Technology of Laser Diode with Thermoelectric Cooler,TN248.4
  2. Research on Temperature Control System for Laser Diode,TP273
  3. Design and Study of Temperature Chamber Control System in Servo Table,TP273
  4. Multilayer coextrusion drooling forming process temperature control technology,TQ320.721
  5. Design Control Algorithm of A Dynamic Positioning System for the Large Trailing Suction Hopper Dredger,U674.31
  6. Research on Modification and Application of Particle Swarm Optimization Algorithm Based on Control Methods,TP301.6
  7. The Design of Process Control System of Acetylene Production Plant Based on Fuzzy Control,TP273
  8. The Design and Implementation of Control System for Wire-steel Heat Treatment Direct-fired Furnace,TP273
  9. Rolling heating furnace temperature control algorithm design,TP273
  10. Heavy duty gas turbine control system analysis and application,TK323
  11. The Research and Application of Fuzzy Control in HVAC and Room System,TB657.2
  12. On Fuzzy PID series motor speed control and parameter visual debugging,TM31;TP391.41
  13. Based on Embedded System controlled greenhouse environment parameters,TP273.5
  14. Complex process control system design and control strategy,TP273
  15. Six -axis micro- accelerometer electrostatic levitation control system,TH824.4
  16. Based on the configuration king and Matlab trolley furnace control system design,TP277
  17. Filter Performance Test System,TH137
  18. Universal ball joint assembly of automotive test rig design and key technology research,U467.52
  19. Based on permanent magnet synchronous gearless traction machine energy-saving elevator control system algorithms and software design,TM341
  20. Unbalanced three-phase power quality problems of,TM761.1
  21. Research on Control Strategy of Active Suspension Based on Co-simulations,U463.33

CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system
© 2012 www.DissertationTopic.Net  Mobile