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

Projektet undersøger prædiktiv realtidsstyring af danske afløbssystemer for at udnytte regnvandsbassiners kapacitet bedre og reducere belastningen af recipienten (det vandmiljø, der modtager udledninger). Der er udviklet to styringsstrategier, som begge styrer på baggrund af afstrømningsprognoser. Strategierne er først afprøvet på simple, fiktive afløbsmodeller, hvor de begge vurderes at kunne reducere recipientbelastningen sammenlignet med systemer uden styring. Derefter er de implementeret i to virkelige afløbssystemer, hvor det vises, at begge strategier kan fungere i praksis. I analysen af styringsstrategi 2 anvendes en fiktiv afstrømningsprognose baseret på historiske data fra en regnmåler; strategien kan reducere recipientbelastningen, men er generelt for beregningstung i sin nuværende opsætning. I analysen af styringsstrategi 1 anvendes afstrømningsprognoser udviklet ud fra korttidsprognoser (nowcasts) fra en C-båndsradar; strategien vurderes at kunne reducere recipientbelastningen uden at skabe oversvømmelse i systemet.

This project explores predictive real-time control of Danish drainage/sewer systems to make better use of storage basin capacity and reduce impacts on the receiving waters (the water environment that receives discharges). Two control strategies were developed, both driven by flow forecasts. They were first tested on simple, simulated drainage models, where both were judged to reduce loads to receiving waters compared with uncontrolled systems. The strategies were then implemented in two real-world systems, demonstrating that both can work in practice. For Strategy 2, a synthetic flow forecast based on historical rain gauge data was used; it can reduce loads but is generally too computationally demanding in its current setup. For Strategy 1, flow forecasts derived from short-term C-band weather radar nowcasts were used; this strategy is assessed to reduce loads without causing flooding within the system.

[Dette resumé er genereret ved hjælp af AI]

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

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