Prædiktiv realtidsstyring af danske afløbssystemer

Predictive real-time control of Danish sewer systems

Nielsen, Emil

4. semester

Vand og Miljø (cand.polyt.), Kandidat

2017

2017-06-08

150

Dette projekt omhandler prædiktiv realtidsstying af danske afløbssystemer. Der er udviklet to styringsstrategier, der har til formål at forbedre udnyttelsen af bassinkapacieten for at reducere recipientbelastning. Begge strategier indeholder et prædiktivt element igennem at styre på baggrund af afstrømningsprognoser. Begge styringsstrategier er analyseret på simple, fiktive afløbsmodeller, hvor det er vurderet, at begge strategier kan reducere recipientbelastning i forhold til ikkestyrede systemer. Dernæst er de implementeret på to cases af virkelige afløbssystemer, hvor det er vist, at begge strategier kan fungere på virkelige afløbssystemer. For analysen af styringsstrategi 2 er der anvendt en fiktiv afstrømningsprognose ved at anvende historisk data fra en regnmåler. Det er vurderet, at strategien kan reducere recipientbelastningen, men generelt er for beregningstung til at implementeres i dets nuværende opsætning. For analysen af styringsstrategi 1 er der anvendt afstrømningsprognoser udviklet på baggrund af nowcasts fra en C-båndsradar. Det er vurderet, at strategien kan styre, således recipientbelastning reduceres uden oversvømmelse i systemet.

This project is about predictive real-time control of Danish sewer systems. Two strategies for controlling sewer systems have been developed. The purpose of the strategies is to improve the usage of basins in order to reduce discharge to the recipient. Both strategies contain a predictive element by controlling based on short-term runoff prognoses. Both strategies have been analyzed on simple, fictitious sewer systems. It has been shown that both strategies can reduce recipient loading compared to non-controlled systems. The two strategies have then been implemented on two cases of real sewer systems. From this it has been shown that they function properly on real sewer systems. For the analysis of the first control strategy a fictitious runoff prognosis has been used by using recorded data from a rain gauge. It’s concluded that the strategy functions but is generally too slow to be implemented in its current form. For the analysis of control strategy 1 a runoff prognosis has been used developed from nowcasts from a C-band-radar. It’s concluded that the strategy can control the system and reduce recipient loading without causing flooding in the system

real-time control ; RTC ; radar ; sewer system ; CSO

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