Used byRequest partnership
Water supply companies deliver clean drinking water via water supply networks to households, businesses and the industrial sector. This is a complex task in which the challenges include a varying demand for water during the day, minimizing the residence time of water in the supply network and providing sufficient water pressure. Besides hydraulic computations of water flows and pressures, 3Di provides an automatic Model Builder. This allows modelers to update their drinking water models based on the latest object data and measurements, for example, every day. Many functionalities are included in the model builder, such as a versioning system, logging, model testing and a demand node creator based on measured time series or fixed values.
3Di supports water supply companies with the management of their assets. Model outputs provide a direct basis for the estimations of maintenance costs and their benefits as well as the costs and benefits of investments. 3Di provides advanced options to make connections with asset databases, such as SAP, Oracle and open source databases. Time series from telemetry systems can be connected to 3Di for verification of model outputs or to provide input for demand nodes.
Every drinking water company copes with sudden pipe bursts. Although everything is done to keep this to a minimum it cannot be avoided. Using 3Di high-risk locations can be analyzed. Think of the network around critical infrastructures such as railways, roads, dykes or hospitals. Where does the water flow in case of a pipe burst? What would be the economic damage? 3Di helps water suppliers to take the best precautions for each location.
The growing population in urban areas calls for a constant redesign of the drinking water network. New buildings and industries affect the demand on the drinking water network. 3Di provides insight into the water network, by modelling and running a variety of simulations. It all starts with understanding the current system by creating and calibrating a water network model. The second step is to quantify the impact of a new design on the network.