Data-driven soft sensors targeting heat pump systems

Soft sensor
DOI: 10.1016/j.enconman.2023.116769 Publication Date: 2023-02-04T03:52:53Z
ABSTRACT
The development of smart sensors, low cost communication, and computation technologies enables continuous monitoring accumulation tremendous amounts data for heat pump systems. But the measurements, especially domestic pump, usually suffer from incompleteness given technical and/or economic barriers, which prevents database measurements being exploited to its full potential. To this end, work proposes a data-driven soft sensor approach compensating multiple missing information. sensors are developed based on an ANN model, integrated multivariate polynomial regression model empirical by considering different constrains like information availability during establishing process. All three models have been validated against field test installation, showed good performance all compensated variables. Of models, shows best but it has highest requirement additional resources collect training data. While demonstrates excellent accuracy majority with manufacturers' subcomponent needs no extra cost. Even though is not as accurate other two still performs limited map. methods in present study paves way available measured thousands installations be fully utilized innovative services including to: improved control strategies, fault detection diagnosis, communication local energy grids.
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