Energy consumption and food quality are important parameters for supermarket cold-room operations. Monitoring of supermarket energy and control systems provides a powerful means for fault detection and diagnostics of these supermarket systems. However, data collection limitations with sensors, network bandwidth, and controller memory reduce the effectiveness and stability of these monitoring tools. This paper describes a model-based estimator for cold room temperatures in supermarket energy systems. The estimator is created with limited on-line monitored data from a supermarket control system and a thermodynamic model of a cold room using a System Identification Method and Extended Kalman Filter. Estimated parameters are used for on-line prognostics. We present the methodology and approach for the estimator. We then present an example application in which a low temperature freezer cold room was modeled with field data.
Citation: ASHRAE Papers CD: 2014 ASHRAE Winter Conference, New York, NY
Product Details
- Published:
- 2014
- Number of Pages:
- 8
- File Size:
- 1 file , 3.7 MB
- Product Code(s):
- D-NY-14-C072
