About the Project
In the last 10 years, the UK water industry has made a significant effort to understand the sources and prevalence of micropollutants is sewage as well as their fate through existing and novel treatment processes. After this effort, the water industry requires strategies to improve the quality of final effluents in current and future treatment works in light new restrictive environmental regulations promoting the sustainable and resilient management of wastewater works.
This project focuses on the development of decision tools combining innovative technologies, removal mechanisms, and options appraisal processes to minimise the impact of micropollutants in discharges. The corresponding objectives to achieve this goal are the following:
1)To develop treatment strategies based on the technologies that are readily deployable or are at advanced technology readiness level to determine the horizons for technologies to become available.
2)To establish a selection metrics for treatment processes: To include but not limited to constructability, operational risk, carbon and other environmental criteria, operation, solids-sludge generation, energy balances, alignment with existing technologies, regulatory performance, and ToTex.
3)To compare performance requirements (UK Scale) and Performance Capabilities: The strands of work will be drawn together into a UK model that captures the emerging threats, technologies, evidence from the mechanisms and CIP programme to enhance the Atkins economic modelling. This will provide the regulatory, policy, and water industry investment assessments.
This PhD is sponsored by EPSRC, Atkins and Cranfield University. EPSRC is the British Research Council that funds research in engineering and the physical sciences. Atkins was established in 1938 by Sir William Atkins (London). Originally, the company specialised in civil and structural design. Nowadays, Atkins offers a varied range of services, including planning, engineering sciences, architecture and project management.
Applicants should have a first or second class UK honours degree or equivalent in a related discipline. This project would suit candidates with knowledge in wastewater engineering, optioneering and big data. Candidates should also have a good knowledge of mathematics and strong programming ability in a high-level language (preferably Python or equivalent).
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