Research On Household-based Heat Supply Adjustment And Room Temperature Control

In recent years, owning to the obvious advantages in energy-saving, pollution abatement, and improving people's living standard, centralized heat supply has been developing at a high speed as an important urban infrastructure. Moreover, there are till many issues in the centralized heat supply industry of China, with widespread phenomena of energy dissipation. As for this, the application and popularization of household-based heat supply system would be of great help in saving energy, which is very important for the future development of national economic, the improvement of people's living standard, the promotion of people's living quality, as well as the stability of our society. Thus, it is of great significance for us to figure out how to regulate and control household-based heat supply system, so as to meet heat users'needs, as well as to comply with the energy-saving concept.The paper has conducted a detailed introduction on the working principles of the metering adjustment device that has been newly added to the household-based heat metering system. Beside, the paper has also introduced the forms of indoor and outdoor heating system. Taking the indirectly-connected household-based heat supply system as the research object, with both the primary and secondary network adopting heating network adjustment mode that has integrated the active qualitative adjustment and the passive qualitative adjustment altogether, we are about to establish the running and adjustment mode for the primary and secondary network of household-based heat supply system, as well as to work out the three typical modes under normal room temperature. Furthermore, by drawing help from Matlab programming, we will be able to iteratively work out the relative flow quantity and return water temperature in the primary and secondary network, so as to simulate out the running and adjustment curves of the system. Terminal heat users'room temperature, i.e. the automatic controlling effect of thermostat valve, is a crucial guarantee for the effective implementation of the heating network adjustment method that has integrated active qualitative adjustment and passive qualitative adjustment altogether. According to the feature that the room temperature of the household-based heat supply system varies with the adjustment of thermostat valve, we constructed the emulation mathematical model of thermostat valve's adjusting room temperature. Besides, in accordance with the principles of fuzzy mathematics, we as well designed the self-correcting fuzzy controller for controlling room temperature. Under the Matlab environment, by drawing support from Simulink and Fuzzy Logic Toolbox, we have separately emulated the self-correcting fuzzy controller for controlling room temperature, and the traditional and classical fuzzy controller. Based on these procedures, we separately modified the coefficients of room model, as well as corresponding lag coefficient and the delay time, so as to make a comparison between the controlling effects of the two controllers. By employing the computing method of state heat transfer, and based on the meteorological parameters of Dalian area, we have made a comparison between the heating network adjustment method that has integrated active qualitative adjustment and passive qualitative adjustment altogether, and the traditional full-time heat supply method. The comparison items include theoretical energy consumption and the energy consumption of water circulating pump.The research on household-based heat supply system has indicated that, the heating network adjustment method that has integrated active qualitative adjustment and passive qualitative adjustment altogether is applicable for the indirectly-connected household-based heat supply system. It can be used to scientifically and properly figure out the proportion of room temperature adjustment users, as well as to calculate out the return water temperature in the primary and secondary heating network that changes with time. Moreover, we will also be able to draw out the adjustment curves, as a reference for the adjustment and predetermination of the entire heat supply system. The self-correcting fuzzy controller for controlling room temperature has a smaller size, with faster adjustment efficiency and less steady-state error. Moreover, its inter-system controlling effect is also superior to traditional fuzzy controlling system, and can guarantee the stable running of heat supply system. Household-based heat supply system can play a vital function in energy-saving. According to the estimation, it total energy consumption during the entire heating period is merely 87% of the total energy consumption amount of traditional heat supply system, saving energy with a ratio of up to 13%. If there is flow control valves at users or the entrance of heat-supply station, we will be able to employ the quality-quantity integrated adjustment method all though the network. During the entire phase, the circulating water amount in the system will decreases along with the workload of the heat supply system. Besides convenient adjustment methods, the energy-saving amount of water circulating pump can be up to 54%.