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An Intelligent On-Off Regulation Method by Predicting the Valve On-Time Ratio in District Heating

[+] Author Affiliations
Lanbin Liu, Yufei Ma

University of Science and Technology Beijing, Beijing, China

Paper No. ES2014-6530, pp. V001T01A006; 4 pages
  • ASME 2014 8th International Conference on Energy Sustainability collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology
  • Volume 1: Combined Energy Cycles, CHP, CCHP, and Smart Grids; Concentrating Solar Power, Solar Thermochemistry and Thermal Energy Storage; Geothermal, Ocean, and Emerging Energy Technologies; Hydrogen Energy Technologies; Low/Zero Emission Power Plants and Carbon Sequestration; Photovoltaics; Wind Energy Systems and Technologies
  • Boston, Massachusetts, USA, June 30–July 2, 2014
  • Conference Sponsors: Advanced Energy Systems Division
  • ISBN: 978-0-7918-4586-8
  • Copyright © 2014 by ASME


Good room temperature control is beneficial for user thermal comfort and health. It also helps reduce energy consumption and carbon dioxide emissions inside the buildings. However, there are certain limitations with the current thermostatic valves commonly used in central heating systems, especially the ones used in China, since they cannot satisfactorily adjust room temperatures. In response to such problems, an intelligent on-off regulation method is presented in this paper. The room temperature can be maintained by controlling the valves according to the on-time ratio predicted by this method. The on-time ratio is predicted for each cycle, and the current ratio is decided by checking a 6-order fuzzy-control table with room temperature deviations in the last step, as well as room temperature set points. The design of the fuzzy-control table as a major factor that may affect the controlling effect is also discussed. A proper controlling cycle and optimal controlling table have been worked out. Finally, this paper discusses the application effectiveness of this strategy. Results show that the room temperature can be maintained in the range of set point ±0.5°C using this method in different conditions. It is fair to say that this method is a stable, reliable and advanced controlling method with accurate control.

Copyright © 2014 by ASME



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