Improving Heat energy Measurement in District Heating Substations Using an Adaptive Algorithm |
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| Yassin Jomni, Jan van Deventer, Jerker Delsing |
- Abstract:
- Heat measurement errors cause revenue discrepancies in the district heating industry. Some of these errors are static and can be estimated using standard error analysis, but the largest error source is the dynamic load such systems are subject to, as in the case of warm water tapping. The frequency at which heat meters estimate and update the energy is either constant or depends on the flow rate. The heat meter power consumption is basically proportional to their estimation frequency. Since the heat meters most often are battery powered this is a sever limiting factor to the introduction of heat metering improvements in the industry. Heat meters with a flow rate dependent estimation frequency are usually based on volume-flow meters. They are widely used in district heating due to their lower estimation frequency which prolongs their battery life. Such meters are clearly inaccurate especially at low flow rates.
An adaptive algorithm that adjusts its estimation frequency depending on the flow rate, is presented in this paper. This algorithm reduces the heat measurement error due to the dynamics of the system while keeping the battery life relatively long. The adaptive algorithm has been implemented and tested against traditional heat meters in a Simulink model of a district heating substation. - Keywords:
- District heating, heat meter, sensors, measurement, heat
- Download:
- IMEKO-TC9-2004-081.pdf
- DOI:
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