Research

Dryp is a research and development-based company and our solutions take its origin in user experiences and journeys. We work closely together with university partners and end-users to accelerate technology diffusion from idea to proof of concept, demonstration, implementation and broad application. We embrace the learnings from taking the first steps demonstrating and implementing new technology in the water sector.

All new technologies face practical challenges when put into operation. To pave the way and accelerate technology diffusion from academia to application we actively invest in research and development projects and partnerships. Our focus is to support a fast and agile development process from idea to prototype to solutions incorporating practical challenges and feedback.

We support research in holistic observation-driven technologies for water systems by donating part of our profit to our university partners. As a Dryp user, you support us to support further research and contributed to the application of IoT, big-data, machine learning and combination of Natural Intelligence (NI) and Artificial Intelligence.

DONUT (2018 - 2021)
Our goal is to develop a cost-efficient water monitoring solution enabling Distributed ONline monitoring of the Urban waTer cycle. The project partners are working towards this goal combining several technologies in exponential growth; smart energy-efficient sensors, IoT, AI, and ICT. Our mission is to provide the technology for obtaining coherent and holistic overviews of the urban water cycle based on observation data. Hence, contribute to the ability to track the water from “drop formation in the atmosphere to runoff into the receiving waters”. The Dryp core technology platform comes from the DONUT-project (Distributed ONline monitoring of the Urban waTer cycle). The project is supportet by the Innovation Fund Denmark. Read more here.
OrEO (2018-2019)
Our vision is to develop a comprehensive solution, which is easy to use, for monitoring overflows and SUDS. By using simple hydraulic measurement principles in combination with smart energy efficient measurement units, it is possible to create cost-efficient monitoring of overflow structures and SUDS. Observation is transmitted wirelessly to a cloud environment where data is combined and translated to information in real time enabling continuously performance monitoring and learning about the real response for a given load of the overflow and SUDS structures. The project is supported by the Ecoinnovation (MUDP).
VeVa Collaboration (2016 - ongoing)
The water utility collaboration, VeVa, is based on a common intention to make the use of weather radar data for hydrological and hydraulic purposes easier and more transparent for "non-weather radar specialists" across the water sector industry in Denmark. Good and reliable rainfall estimates from weather radars should be as available as the rain meter data is today. The data processing process from polar estimates of radar reflectivity (dBZ) to corrected and adjusted cartesian rainfall intensity estimates (mm/h) shall be transparent with clear interfaces in a well-defined data model. This ensures increased confidence and usability of the weather radar data for hydrological and hydraulic applications in the water sector.The project is based on a common intention to make the use of weather radar data for hydrological and hydraulic purposes easier and more transparent for "non-weather radar specialists" across the water sector industry in Denmark. Good and reliable rainfall estimates from weather radars should be as available as the rain meter data is today. The data processing process from polar estimates of precipitation radar reflectivity (dBZ) to corrected and adjusted Cartesian estimates of rainfall intensities (mm/h) shall be transparent with clear cut surfaces in a well-defined data model. This ensures increased confidence and usability of the weather radar data for hydrological and hydraulic applications in the water sector. Read more here.
AMOK (2012 - 2015)
The goal of the AMOK-project (Advanced Measurement of Overflow Quality) was to conduct a series of coherent measurements of rainfall, water levels, flow and substance concentrations in combined sewers and overflow structures. These measurements were preformed to document the dilution of substance concentrations in overflow effluent water during rainfall. Both on-line measurements and level gauges, upstream, and overflow construction, and rainfall measurements have been collected. In addition, for selected rainy weather events, sampling and laboratory analysis of water quality parameters as well as selected priority chemical substances and microbial parameters have been made. Furthermore, the project included initial exploration of data-driven and CFD-based software sensor using observations from simple and reliable sensor units. Read more here.