Modellers and practitioners: consultants, researchers, students, software developers, plant managers/operators of water resource recovery facilities. General knowledge on the areas of resource recovery, process modelling, uncertainty and sensitivity analysis is expected.
With the paradigm shift from “wastewater treatment plants” to “water resource recovery facilities”, wastewater is now considered not just as something to be treated but as a resource from which benefits and products can be recovered.
In this webinar, a general overview on the concept of water resource recovery facilities will be presented, wherein examples of existing resource recovery technologies will be discussed. A number of existing models will be revisited to determine what is missing in terms of model structure. The webinar aims to present current efforts to model these processes, with particular attention to technologies related to carbon and nutrient recovery. There will also be a discussion on model uncertainty which will potentially guide resource recovery processes’ modellers and model-users alike.
Learning about the main activities and areas supported by MIA SG, especially in the topics about resource recovery modelling and model uncertainties. The specific learning objectives are:
– Learning objective 1: Gain an overview of existing technologies for resource recovery from wastewater, including technologies for carbon capture and valorisation and nutrient recovery.
– Learning objective 2: Improve understanding of the main processes for each technology and the relevant state-of-the-art models.
– Learning objective 3: Understand what are the complexity level, applicability and limitations of existing models for resource recovery.
– Learning objective 4: Understand the importance of performing sensitivity analysis and identify the key sources of uncertainty in the currently available resource recovery models
Ingmar Nopens Chair of IWA Specialist Group MIA (Gent University, Belgium) and Ulf Jeppsson Vice-chair of IWA Specialist Group MIA ( Lund University)
