A5049813927- Wastewater Treatment and Nitrogen Removal
- Advanced Control Systems Optimization
- Water-Energy-Food Nexus Studies
- Water Quality Monitoring and Analysis
- Water resources management and optimization
- Cryospheric studies and observations
- Smart Grid Energy Management
- Water Systems and Optimization
- Climate change and permafrost
- Hydrology and Watershed Management Studies
- Water Quality Monitoring Technologies
- Membrane-based Ion Separation Techniques
- Fault Detection and Control Systems
- Hydrological Forecasting Using AI
- Distributed Sensor Networks and Detection Algorithms
- Internet of Things and AI
- Arctic and Antarctic ice dynamics
- Catalytic Processes in Materials Science
- Data Quality and Management
- Reservoir Engineering and Simulation Methods
- Winter Sports Injuries and Performance
- Advanced Chemical Sensor Technologies
- Advanced Computational Techniques in Science and Engineering
- Landslides and related hazards
- Gaussian Processes and Bayesian Inference
Veolia (Denmark)
2018-2024
Technical University of Denmark
2016-2021
Kruger (Canada)
2021
Dynamic Systems (United States)
2019-2021
Abstract. Knowledge of the ice thickness distribution glaciers and caps is an important prerequisite for many glaciological hydrological investigations. A wealth approaches has recently been presented inferring from characteristics surface. With Ice Thickness Models Intercomparison eXperiment (ITMIX) we performed first coordinated assessment quantifying individual model performance. set 17 different models showed that estimates can differ considerably – locally by a spread comparable to...
Abstract In this work, operational data collected from four Danish wastewater treatment plants (WWTP) are assessed for quality issues and analyzed to investigate the feasibility of data-driven modeling control purposes. All have permanent N2O sensors installed in biological reactors, on same terms as other data. We present deploy a six-dimensional assessment evaluating (1) relevance, (2) accuracy, (3) completeness, (4) consistency, (5) comparability, (6) accessibility. To increase accuracy...
Glaciers in the Arctic are losing mass at an increasing rate. Here we use surface topography derived from Structure Motion (SfM) and ice volume ground penetrating radar (GPR) to describe 2014 state of Aqqutikitsoq glacier (2.85 km2) on Greenland's west coast. A photogrammetrically 1985 digital elevation model (DEM) was subtracted a DEM obtained using land-based SfM calculate geodetic balance. Furthermore, detailed survey performed assess volume. From 2014, has lost 49.8 ± 9.4 106 m3 ice,...
This paper presents a novel grey-box model for predicting nitrous oxide (N2O) and ammonium (NH4) concentrations in wastewater treatment, focusing on dissolved N2O to capture its complex production reduction mechanisms better.The integrates operational data with an input-output delay, incorporating nonlinearity balancing simplicity, accuracy, interpretability. Model parameters were estimated using ordinary least squares (OLS) regression without requiring manual calibration or specific...
Abstract An integrated model predictive control (MPC) strategy to the power consumption and effluent quality of a water resource recovery facility (WRRF) by utilizing storage capacity from sewer system was implemented put into operation for 7-day trial period. This price-based MPC reacted electricity prices forecasted pollutant loads 24 hours ahead. The large available in directly upstream plant used incoming and, indirectly, WRRF during dry weather operations. balances costs treatment based...
In this paper, we present two years of high-resolution nitrous oxide ($N_2O$) measurements for time series modeling and forecasting in wastewater treatment plants (WWTP). The dataset comprises frequent, real-time from a full-scale WWTP, with sample interval 2 minutes, making it ideal developing models operation control. This comprehensive bio-chemical includes detailed influent effluent parameters, operational conditions, environmental factors. Unlike existing datasets, addresses the unique...
ABSTRACT A novel data-driven stochastic state space system for modeling and forecasting the sludge blanket height in secondary clarifiers is presented. The model trained on sensor measurements of uses as inputs (1) clarifier mass inflow rate, (2) recycle flow rate. model's prediction accuracy evaluated data from two Danish wastewater treatment plants, a summer winter month, by means root-mean-square errors compared with persistence model. consistently outperforms summer, but only one plant...
Abstract Online model predictive control (MPC) of water resource recovery facilities (WRRFs) requires simple and fast models to improve the operation energy-demanding processes, such as aeration for nitrogen removal. Selected elements activated sludge number 1 modelling framework ammonium nitrate removal were included in discretely observed stochastic differential equations which online data are assimilated update states. This allows us produce model-based predictions including uncertainty...
Abstract. Knowledge of the ice thickness distribution glaciers and caps is an important prerequisite for many glaciological hydrological investigations. A wealth approaches has recently been presented inferring from characteristics surface. With Ice Thickness Models Intercomparison eXperiment (ITMIX) we performed first coordinated assessment quantifying individual model performance. set 17 different models showed that estimates can differ considerably – locally by a spread comparable to...
Wastewater treatment is an essential process to ensure the good chemical and environmental status of natural water bodies. The energy consumption for wastewater represents important cost utilities. Meanwhile has increasing fraction renewable sources in electricity market created possibility exploiting cheaper (and greener) electricity. This paper proposes model predictive control driven by stochastic differential equations genetic optimization prioritize aeration periods with low prices...
With increasing fluctuations in electricity production due to prioritization of renewable energy sources, new applications that can adjust quickly changes demand/supply will be needed. Wastewater treatment use a significant amount reduce nutrients wastewater before discharge. The process demands some selected periods which controlled, and hence the time consumption is changeable. Here we suggest novel predictive control strategy enhances flexibility demand by accounting for price probability...