Use of smart meters as feedback for district heating temperature control

Smart meters implemented at the end-user in energy sector create opportunity to develop data-intelligent methods for district heating systems by using a large amount of fine-granular heat consumption time series from end-users. The current state-of-the-art temperature control rely on predefined critical points network and set reference curve that expresses minimum forward as function outdoor are used ensure consumers’ supply requirements met all times. To predefine network, location lowest grid needs be identified any point time. Since often varies over time, one must have network. This paper proposes method estimate an artificial time-wise quantile estimation smart meter data novel approach eliminates need physical net or sensors wells creates possibility changing if needed. benefits provider feedback, makes measurement redundant flexibility location. low areas can change overtime hence being able where feedback is located. proposed replace well measurements provide production site groups readings together each grouping done reliable device, excluding some when faulty reading occurs. acceptable street pipe’s estimated temperature. tested two demo cases. first consists main pipe. second uses three apartment buildings control. Initial results show well-measurements which traditionally give better more flexible