Study on the Development of an Optimal Heat Supply Control Algorithm for Group Energy Apartment Buildings According to the Variation of Outdoor Air Temperature
2. Analysis of Group Energy Apartment Building Heat Loss
|Object building||Apartment building|
|Number of households||1473|
|Location||Hwaseong city, Gyeonggi-do, Korea|
|Heating source||District heating|
Experimental Data for Numerical Analysis
- Constraint: Supply heat needed in individual homes according to outdoor temperature variation.
- Objective function: Determine supply water temperature and return water temperature that yield the lowest heat loss rate on the consumer side distribution line.
3. Analysis of Heat Loss in Heat Distribution Line of Target Group Energy Apartment Building
4. Development of Optimal Heat Supply Control Algorithm for Group Energy Secondary Loop
4.1. Heat Exchange Model of Traditional Korean Floor Heating
4.2. Heat Loss Rate at the Supply Water Line
4.3. Heat Loss Rate at the Return Water Line
5. Results and Discussion
- This study was based on the apartment building heat consumption data collected in year 2008. Thus, if an accurate database on heat supply and consumption pattern can be obtained, the developed system can accurately predict heat load variations according to outdoor temperature.
- Heat load was predicted for group energy apartment buildings. The predictions were compared with experimental data for validation. The results of the heat load prediction method for group energy apartment buildings agreed well with experimental data.
- In this study, energy loss was decreased by 10.4% compared to the supply heat by applying the lowest supply water temperature and return water temperature in the optimal heat supply control system.
- Heat supply control can be achieved by variable supply mass flow rate control and variation supply water temperature control. To meet consumer heat capacity needs, mass flow rate is varied according to supply water temperature. Low mass flow rate is applied for high supply water temperature, while mass flow rate is increased when the supply water temperature is low.
- Primary return water temperature without affecting the indoor temperature. Thus a better utilization of the heat generated from heat generation facility is achievable. The optimal primary side supply water temperature is found when the return water temperature reaches its minimum under the heat control algorithm.
- Analysis results of this study can be used to evaluate heat consumption patterns according to outdoor temperature. The analysis results suggest that further research in this area could lead to substantial energy savings in apartment buildings.
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Byun, J.-K.; Choi, Y.-D.; Shin, J.-K.; Park, M.-H.; Kwak, D.-K. Study on the Development of an Optimal Heat Supply Control Algorithm for Group Energy Apartment Buildings According to the Variation of Outdoor Air Temperature. Energies 2012, 5, 1686-1704. https://doi.org/10.3390/en5051686
Byun J-K, Choi Y-D, Shin J-K, Park M-H, Kwak D-K. Study on the Development of an Optimal Heat Supply Control Algorithm for Group Energy Apartment Buildings According to the Variation of Outdoor Air Temperature. Energies. 2012; 5(5):1686-1704. https://doi.org/10.3390/en5051686Chicago/Turabian Style
Byun, Jae-Ki, Young-Don Choi, Jong-Keun Shin, Myung-Ho Park, and Dong-Kurl Kwak. 2012. "Study on the Development of an Optimal Heat Supply Control Algorithm for Group Energy Apartment Buildings According to the Variation of Outdoor Air Temperature" Energies 5, no. 5: 1686-1704. https://doi.org/10.3390/en5051686