Sustainable decision support based on relevant data
From hidden drinking water network to full access for smart decisions
Leakage and pipe failures in networks is a huge problem worldwide, since they cause energy losses, risk for quality and quantity problems and a waste of treated water. To reach a sustainable economic level of leakage the asset management must consider proper technical, socioeconomic and ecological parameters as basis for the decision support (Bruaset et al, 2018; Ganjidoost et al, 2018; Lee et al 2017). The detailed relation between external and internal factors effecting leaks must be visualised to allow for cost efficient maintenance and smart decisions.
This project will therefore move forward the use of geographical information systems (GIS) to manage water, network data to facilitate decision support with special application for managing pipes and reduce leakage in the network. The project will implement modern digitalization support in the GIS system, so the asset managers can extract necessary plans for long-term maintenance of the water and sanitation networks. Thus, the true status of the water and sanitation pipe nets will be available to analyse on a daily basis. The industrial PhD-students will follow, describe and evaluate rehabilitation projects and maintenance programmes of the partner WS utilities, liaise with pipe assessment companies, GIS-suppliers, and pipe contractors, evaluate GIS-systems used for WS pipes and develop them for better and easier follow-ups of assessment and maintenance work, network analysis and editing and analysing data relevant for the pipes. Methods for condition assessments, maintenance and refurbishment of water pipes will be identified in the project and refined so they can be used by the municipalities. Existing methods for condition assessments used in Sweden or abroad will be integrated and needs for new methods will be described, of which at least three also will be tested in the project e.g. methods from the Pipestatus project. Data lacking in the status evaluation will be identified in a study conducted with the stakeholders VA SYD and NSVA. The rehabilitation plan will be evaluated in the project Workshops arranged biannually will focus on the progress of the asset management plan, including economy and social sustainability. The project will find the technical and operational parameters that are critical to assess the maintenance needs of the drinking water network to support an integrated decision support method for water, sewage and stormwater (project 1.7 and 1.10). Methods to feed in digital data from sensors and background conditions in the networks to develop the asset management plan will be identified, for continuous improvements. One key area is to keep the plans as simple as possible, since the average municipality does not have a large group of engineers and technicians who can work daily with the asset management. The PhD students in the project will contribute with information to project 2.3.
The project will contribute to more sustainability efficiency by optimized and strategic maintenance will be performed at lower cost at higher service levels. The drinking water quality in the net will be improved and less leakage take place. A leakage reduction of 5% should be accomplished in the net once the work has been implemented.
2018 – 2022
NSVA Nordvästra Skånes Vatten och Avlopp, Chalmers University of Technology, NTNU Norwegian University of Science and Technology, RISE Research Institutes of Sweden, Stockholm Vatten och Avfall, Norrvatten
Improved sustainable efficiency by 20 percent
Competence deficiencies will decrease by 50 percent
Over 50 municipalities are role models for sustainable asset management
At least ten companies have adopted the results from the programme and export service / products, competence and practice
More than five SME’s have been established due to results from the programme