University of Bath

Sewer Systems of the Future

This project aims to develop a stochastic sewer model to support sewer design under water conservation measures.

The overall aim of this project is to investigate the impact of water conservation on the operation of sewer systems and identify options to improve the design of a low-flow sewer systems.

Objectives to achieve this aim include:

  • The development of a stochastic sewer input model to accurately represent household discharge quantity and quality into the sewer.

  • Model the changes to hydraulic flow and water quality within an existing sewer network as a result of certain water conservation scenarios.

  • Analyse if any flow or concentration changes might offer opportunities for resource recovery throughout the sewer network.

  • Finally, draw this all together to suggest the consequences of water conservation for future design.

Project outline

Rising water scarcity, pressure for sustainability and the need for water efficiency will drive reduction in water consumption and hence flow to sewer. UKWIR (2016) wishes to halve abstraction by 2050. What will be the effect on sewer systems and the way we dispose of wastewater?

A new sewer design capable of transporting more concentrated wastewater could increase efficiency and sustainability of our wastewater networks. More effective sewage treatment and resource recovery could result from higher wastewater concentrations (Verstraete & Vlaeminck, 2011). However, sewer transport efficiency may be affected (Parkinson et al, 2005; Penn et al, 2013). This work will use SIMDEUM® develop a stochastic wastewater discharge model. Which will from the input to a stochastic load model for accurate prediction of dynamic flow, pollutant and sedimentation changes, resulting from widespread water conservation. InfoWorks ICM (Sewer Edition) will be used to model the network effects. The wider project will identify design modifications to best support sewers under dramatic water reduction. This is a bid to re-think sewerage to better serve communities through water conservation, resource recovery and providing a cleaner environment.

Science

Sewer models are typically deterministic and there are very limited number of stochastic models that have been developed. SIMDEUM® is a software that was developed for stochastic demand pattern generation and has not yet been validated for use in wastewater flow prediction. This work will develop and validate SIMDEUM® for wastewater applications and link it with InfoWorks ICM® to produce a full stochastic network model. This stochastic model will be used to gain new knowledge about the flow and water quality impacts of future water conservation measures which can be used to assess the feasibility of resource recovery throughout the sewer network and propose how sewers could be designed in future to support a more sustainable wastewater system.

The work so far has been presented at two IWA Young Water Professionals Conferences (10-12th April 2017 and 16th-18th April 2018) and has been accepted for oral presentations at the 11th International Conference on Urban Drainage Modelling 2018 (23rd-26th September 2018) and IWA Efficient 2019 (13th-16th January).

Impact

Reducing water demand is a pop priority within the water industry, both in the UK and globally. It is currently unknown what effects dramatic water conservation could have on our existing sewerage infrastructure. Findings emerging from this project will provide evidence to inform future sewer design, ensuring suitability and sustainability. The model produced in this work will be utilised within a larger project in collaboration TU Delft to model the entire urban water system building the way for new urban water transport systems. This project will explore relevant opportunities for resource recovery and water use reduction to ensure a sustainable water system in the future.