A5039223362- Wastewater Treatment and Nitrogen Removal
- Fault Detection and Control Systems
- Water Quality Monitoring Technologies
- Water Systems and Optimization
- Water Quality Monitoring and Analysis
- Advanced Control Systems Optimization
- Neural Networks and Applications
- Mineral Processing and Grinding
- Odor and Emission Control Technologies
- Wireless Sensor Networks for Data Analysis
- Water-Energy-Food Nexus Studies
- Water Treatment and Disinfection
- Industrial Automation and Control Systems
- Membrane Separation Technologies
- Scientific Computing and Data Management
- Sustainable Supply Chain Management
- Advanced Data Processing Techniques
- Analytical Chemistry and Sensors
- Environmental and Sediment Control
- Sensorless Control of Electric Motors
- European and International Law Studies
- Sustainable Industrial Ecology
- Advanced Statistical Process Monitoring
- Business Process Modeling and Analysis
- Engineering Education and Technology
Aalto University
2011-2024
Finnish Consulting Group (Finland)
2020-2024
Digital Twins (DTs) are on the rise as innovative, powerful technologies to harness power of digitalisation in WRRF sector. The lack consensus and understanding when it comes definition, perceived benefits technological needs DTs is hampering their widespread development application. Transitioning from traditional modelling practice into DT applications raises a number important questions: When model's predictive acceptable for DT? Which frameworks most suited applications? data structures...
The nitrous oxide emissions of the Viikinmäki wastewater treatment plant were measured in a 12 month online monitoring campaign. measurements, which conducted with continuous gas analyzer, covered all unit operations advanced wastewater-treatment process. relation between and certain process parameters, such as temperature, influent biological oxygen demand, ammonium nitrogen load, was investigated by applying data obtained from process-control system at 1 min intervals. Although seasonal...
Finland and Poland share similar environmental interests with regard to their wastewater effluents eventually being discharged the Baltic Sea. However, differences in influent characteristics, treatment processes, operational conditions, carbon intensities of energy mixes both countries make these two interesting for footprint (CF) comparison. This study aimed at proposing a functional unit (FU) which enables comprehensive comparison plants (WWTPs) terms CF. Direct emissions had highest...
The Circular Economy (CE) is a concept that has gained considerable global attention during the past decade amongst private and public sector actors, politicians policymakers, citizens media, scientific communities. Water water-related ecosystems, despite their vital role in practically all human activities, have been largely missing from conceptualisations definitions of CE. Therefore, this paper presents definition for water-smart CE incorporates water ecosystems. A would (i) reduce losses...
Abstract Nitrous oxide (N2O) is an ozone-depleting greenhouse gas that contributes significantly to the carbon footprint of a wastewater treatment plant (WWTP). Plant-specific measurement campaigns are required reliably quantify emission level has been found vary between WWTPs. In this study, N2O emissions were quantified from five full-scale WWTPs during 4–19-day conducted under both cold period conditions (water temperature below 12 °C) and warm 20 °C). The data studied alongside long-term...
Abstract This study aims to identify barriers and needs for the application of data analytics in municipal wastewater treatment. The was conducted through a series interviews with stakeholders involved instrumentation, control, automation treatment plants. Opportunities limitations observed by different were assessed thematic analysis. Thematic analysis enabled broader consideration social organizational aspects related process operation, maintenance. Identified key applying included...
In this work we present and discuss the design of an array soft-sensors to estimate nitrate concentration in denitrifying post-filtration unit at Viikinmäki wastewater treatment plant Helsinki (Finland). The developed sensors aim supporting existing hardware analyzers by providing a reliable back-up system case malfunction instruments. attempt easy implement interpretable sensors, computationally light linear models have been considered. However, due intrinsic nonlinearity process, also...
In conjunction with choosing the treatment process for new wastewater plant of Espoo, Finland (400,000 P.E.), Denitrification-Nitrification (DN) and Step-Feed activated sludge processes were compared in terms required basin volume consumption aeration air methanol. The comparison was made using dynamic simulation. advantages step-feed reported literature – smaller to treat an equal load or ability a higher questioned. consumables, two found practically equal. This is, best our knowledge,...
Abstract In this paper, we present the first results of a large-scale membrane bioreactor application implemented for increasing wastewater treatment plant capacity. The Taskila in Finland was upgraded 2018 and is now operated as hybrid system with parallel conventional biological lines. showed that filtration improved performance significantly terms solids pathogens removal. Nitrogen removal has been stable current operating set-points notably better than before expansion. analysis using...