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Intensive Data-Driven Model for Real-Time Observability in Low-Voltage Radial DSO Grids.

Autor: Blomgren, Emma M. V.¹ (AUTHOR) emvb@dtu.dk, Banaei, Mohsen¹ (AUTHOR) raze@dtu.dk, Ebrahimy, Razgar¹ (AUTHOR) frade@dtu.dk, Samuelsson, Olof² (AUTHOR) olof.samuelsson@iea.lth.se, D'Ettorre, Francesco¹ (AUTHOR) hmad@dtu.dk, Madsen, Henrik¹ (AUTHOR)

Publikováno v: Energies (19961073). Jun2023, Vol. 16 Issue 11, p4366. 22p.

A full-scale operational digital twin for a water resource recovery facility-A case study of Eindhoven Water Resource Recovery Facility.

Autor: Daneshgar S; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium.; CAPTURE, Centre for Advanced Process Technology for Urban Resource Recovery, Ghent, Belgium., Polesel F; DHI A/S, Hørsholm, Denmark., Borzooei S; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium.; CAPTURE, Centre for Advanced Process Technology for Urban Resource Recovery, Ghent, Belgium.; IVL Swedish Environmental Research Institute, Stockholm, Sweden., Sørensen HR; DHI A/S, Hørsholm, Denmark., Peeters R; Waterschap De Dommel, Boxtel, The Netherlands., Weijers S; Waterschap De Dommel, Boxtel, The Netherlands., Nopens I; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium.; CAPTURE, Centre for Advanced Process Technology for Urban Resource Recovery, Ghent, Belgium., Torfs E; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium.; CAPTURE, Centre for Advanced Process Technology for Urban Resource Recovery, Ghent, Belgium.; Département de génie civil et de génie des eaux, Université Laval, Quebec, Canada.

Publikováno v: Water environment research : a research publication of the Water Environment Federation [Water Environ Res] 2024 Mar; Vol. 96 (3), pp. e11016.

Towards Model Predictive Control: Online Predictions of Ammonium and Nitrate Removal by using a Stochastic ASM

Autor: Peter Steen Mikkelsen, Thomas Munk-Nielsen, Jan Kloppenborg Møller, Peter Alexander Stentoft, Henrik Madsen, Luca Vezzaro

Publikováno v: Technical University of Denmark Orbit
Stentoft, P A, Munk-Nielsen, T, Vezzaro, L, Madsen, H, Mikkelsen, P S & Møller, J K 2018, Towards Model Predictive Control: Online Predictions of Ammonium and Nitrate Removal by using a Stochastic ASM . in Proceedings of the 6th IWA/WEF Water Resource Recovery Modelling Seminar ., wst2018527, 6th IWA/WEF Water Resource Recovery Modelling Seminar (WRRmod 2018), Quebec, Canada, 10/03/2018 .
Stentoft, P A, Munk-Nielsen, T, Vezzaro, L, Madsen, H, Mikkelsen, P S & Møller, J K 2019, ' Towards model predictive control: Online predictions of ammonium and nitrate removal by using a stochastic ASM ', Water Science and Technology, vol. 79, no. 1, pp. 51-62 . https://doi.org/10.2166/wst.2018.527

Online model predictive control (MPC) of water resource recovery facilities (WRRFs) requires simple and fast models to improve the operation of energy-demanding processes, such as aeration for nitrogen removal. Selected elements of the activated slud

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62f9fc894945491686f48beaa10420c1
https://orbit.dtu.dk/en/publications/5dfbce2b-1b58-4918-9a5f-2f6dee3160af

Urban runoff forecasting with ensemble weather predictions

Autor: Jonas Wied Pedersen, Vianney Augustin Thomas Courdent, Luca Vezzaro, Henrik Madsen, Peter Steen Mikkelsen

Publikováno v: Technical University of Denmark Orbit
Pedersen, J W, Courdent, V A T, Vezzaro, L, Madsen, H & Mikkelsen, P S 2017, ' Urban runoff forecasting with ensemble weather predictions ', 15th Nordic Wastewater Conference, Aarhus, Denmark, 10/10/2017-12/10/2017 .

This research shows how ensemble weather forecasts can be used to generate urban runoff forecasts up to 53 hours into the future. The results highlight systematic differences between ensemble members that needs to be accounted for when these forecast

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::91647323a90d673992bffc0acf3b91c0
https://orbit.dtu.dk/en/publications/e3a9a8e7-77be-4bf5-864a-ee241266733c