ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
Abstract
District cooling system (DCS) is recognized to be highly energy efficient compared to equivalent conventional systems being operated at individual buildings. In this paper, it was verified from the performance analysis of a DCS plant based on current operation data. The seasonal coefficient of performance (COP) for the centrifugal chillers was 5.16. The value was lower compared to the design one but still higher with respect to the conventional system. Furthermore, the seasonal energy efficiency ratio of the cooling source system (EERsys) reached 3.85. The analysis showed that the lower value associated with the low occupancy ratio and lower temperature difference between the supply and return water. Our work was much significant in the planning and operation for the plant at the next stage. On the other hand, the operation experience was also worth considering for other projects.
4. Conclusions
As the energy company charges users according to their total air-conditioning area, they did not care about the amount of the cooling load provided by DCS plant. Therefore, heat metering devices installed in the buildings were in idle. It’s a pity that there were not enough data for our judgment of the cold loss in the cold water transmission process. Through the analysis based on the operation data, local research combined with theoretical analysis for the DCS plant in the cooling season of 2016, we got the following conclusions:
• The cold source production indicator for the whole cooling season was 28.93 W / m2 , which was much lower than the design value because of the low actual simultaneity usage coefficient and low occupancy ratio currently;
• The seasonal COP and EERsys in the whole cooling season were 5.16 and 3.85, respectively;
• The phenomenon of large flow rate with low temperature difference was much serious in the actual running process. It was recommended to improve the level of automation and the accuracy of load forecast.