CUED Publications database

Fifty shades of grey water: evaluating techno-economic performance of wastewater system operations

Settanni, E and Newnes, LB and Wright, J (2015) Fifty shades of grey water: evaluating techno-economic performance of wastewater system operations. In: 19th Cambridge International Manufacturing Symposium, 2015-9-24 to 2015-9-25, Cambridge, United Kingdom.

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Abstract

Tightening of regulation on the quality of water and wastewater services often leads to the growth of capital expenditure in industry and higher bills for water customers. Applying an outcome-orientated approach to the economic regulation of the sector in England and Wales, shifts the focus away from how many assets a business has, towards whether a company is capable of delivering through its asset base, what ultimately matters to their customers. Although this approach sounds agreeable and almost common sense, its translation into metrics is a challenge with industry requiring a better understanding of the behavioural implications of a regulatory system built around outcomes. This paper contributes to the current debate on how to best address industry’s concerns, whilst meeting the regulator’s expectations. A way to reconcile performance measurement with a genuine outcome orientation by means of Input-Output Analysis (IOA) is outlined. IOA is identified as a suitable tool to manipulate the empirical data commonly available in industry for the purpose of tackling technical planning, environmental evaluation and costing problems for a multistage, multi-input, multi-output (and possibly multi-location) supply network. A simplified wastewater system underpinned by real-life industry data is used throughout the paper for illustrative purposes

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Input-Output Analysis Wastewater Treatment Services Performance Supply Network Modelling
Subjects: UNSPECIFIED
Divisions: Div E > Manufacturing Systems
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 20:01
Last Modified: 09 Nov 2017 01:29
DOI: