Smart Water Utilities: Complexity Made Simple

Abstract

You have been entrusted with a very important and valuable asset of your community. The decisions that you make while managing will have to be lived with by water utility managers for the next 50-100 years. But they are not the only ones to enjoy your legacy. The economic and social developments of your community are also greatly influenced by your decisions for many years to come. And even if we don't talk a lot about it, the nature around us is also affected. Remembering back when you

Implementation of a Decision Support System for Sewage Sludge Management

“…Finally, the existence of different DSS-optimisation methods allowing to avoid exhaustive manual analyses of different combinations of technologies and propose an optimal solution according to certain optimisation criteria should be mentioned; see, e.g., [18,[27][28][29][30][31][32]. The tool presented here is not focused on this feature; however, its simulation-based nature and its design will allow the implementation of such optimisation techniques in future stages, providing an automated optimal outcome for the design process.…”

From Slide Rule to Big Data: How Data Science is Changing Water Science and Engineering

“…In engineering practice, water-treatment and wastewatertreatment plants are becoming more highly automated, and remote monitoring is increasingly used in distribution and/or conveyance systems, resulting in a substantial increase in the amount of data generated during system operation. These developments offer opportunities for performance optimization (Corominas et al 2018;Ingildsen and Olsson 2016). They may also allow for novel management strategies, such as using excess sewer capacity to reduce overflows at wastewater-treatment plants (Zhang et al 2018).…”

Applying big data in water treatment industry: A new era of advance

“…The starting point is to make certain you have good primary measurements (Shaw, 2017;Ler, 2016;Kato et al, 2017). Ingildsen and Olsson (2016) examined what utilities require to perform to be smart. They boiled it down to a simple, yet very useful, framework and suggested that water utilities have to be "MAD" to be smart (Shaw, 2017).…”