A district heating consumer substation is a complex entity, consisting of a range of interacting components such as valves, pumps, heat exchangers and control systems. The energy efficiency of a consumer sub- station is dependent on several things, e.g. settings of the control system, dimensions and operational behaviour of hardware and accumulation of sediments in the heat exchanger. Visualizing this operational functionality of consumer substations has been studied in several previous projects. This paper addresses certain shortcomings inherent in those previous works by presenting a novel visualization approach using parallel coordinates and scatter plot matrices. A comparison between these and previous visualization techniques is presented and discussed. Furthermore, the paper presents a scheme for statistical analysis based on n-dimensional relationships found in parallel coordinates and scatter plot matrices, thus providing key performance indicators appropriate for large-scale detection and analysis. It is shown that the presented visualization techniques are at least equal to previous attempts in regards to fault detection and operational analysis, while simultaneously addressing several of their shortcomings. Furthermore, it is shown that the subsequent statistical analysis provides a workable starting point for system-wide fault detection and analysis within any district heating system.

Två metoder för förbättrad informationsspridning inom fjärrvärmesystem presenteras. En baserad på grafisk visualiseringsmetodik, och en baserad på statisktiska nyckeltal. Driftsäkerhet, Operativ visualisering, feldetektering, nyckeltal