Publisher : The Society of Air-Conditioning and Refrigerating Engineers of Korea
DOI : 10.6110/KJACR.2016.28.2.069
Title & Authors
A Study on Improved Heating Performance of an Apartment Housing Unit Seo, Jeong-Ah; Shin, Younggy; Kim, Yong-Ki; Lee, Tae-Won;
Most hot water heating valves for apartments are constant-flow types, which limit the flow rate through an individual household for even distribution of heating water to other households. The constant-flow type is implemented by an on-off control. As a result, heating water is supplied intermittently and hence, indoor air temperature also fluctuates. Returning water temperature is also high, which reduces energy efficiency. To implement continuous feedback control, the indoor temperature dynamics was simulated to fit a measured temperature history by a state-of-the-art physical model. From the model, it was found that the most important disturbance is outdoor temperature and its effect on indoor temperature lasts about an hour. To cope with the slow response and the significant disturbance, a prediction control with proportional feedback is proposed. The control was found to be successful in implementing continuous heating water flow and improved indoor temperature control.
Jang, Y. S., Ahn, M. H., Kim, Y. S., and Song, J. H., 2014, Experimental Study on the Floor Heating System using Proportional Control, Proceedings of SAREK Summer Conference, 14-S-065, pp. 269-272.
Lee, T. W., Kim, Y. K., and Ho, J. W., 2009, An Experimental Study on the Optimal Control Methods for the Radiant Floor Heating Panel, Proceedings of SAREK Winter Conference, 09-W-072, pp. 419-424.
Lee, E. J., Lee, D. Y., Hong, H., and Kim, Y. K., 2014, Measurement and Simulation of Heating Energy for Apartments with District Heating, Korean Journal of Air-Conditioning and Refrigeration Engineering, Vol. 26, No. 12, pp. 572-578.
Royer, S., Thil, S., Talbert, T., and Polit, M., 2014, A procedure for modeling buildings and their thermal zones using co-simulation and system identification, Energy and Buildings, Vol. 78, pp. 231-237.
Ruano, A. E., Crispim, E. M., Conceicao E. Z. E., and Lucio, M. M. J. R., 2006, Prediction of building's temperature using neural networks models, Energy and Buildings, Vol. 38, pp. 682-694.
Lee, T. W., 2011, Research Service on Investigating Fault Status of Heat Meters of Apartment Households and Diagnosing Their Energy Consumption for ESCO Enterprise, Korea District Heating Corp., KICT, pp. 2011-017.
EnergyPlus, 2015, Engineering Reference The Reference to EnergyPlus Calculations, https://energyplus.net.