The advent of smart metering is set to revolutionize many aspects of the relationship between
water utilities and their customers. Smart-metered data supports enhanced customer interaction,
enables linking to social media and paves the way for dynamic tariffs (prices that change over time). For
dynamic pricing, metering must have sufficiently high frequency and enable billing users individually;
smart metering enables this. Dynamic tariffs aim to either reduce demand or shift it in time and can be
designed for revenue neutrality with the wider aim of increasing economic, social or environmental
benefits. Two dynamic water pricing schemes are described here: scarcity and peak pricing. Scarcity
pricing reduces demand by setting prices nearer to the marginal economic value of water, which is
closely related to water scarcity in the basin which varies over time. Scarcity pricing aims to send users
a signal of water’s value in connection with its scarcity to promote more efficient water use. Peak pricing
uses demand displacement tariffs, sometimes combined with demand reduction tariffs, to lower and
maybe shift the peak demand to off-peak hours. The aim is to reduce leakage and decrease future
network expansion and maintenance costs while potentially lower pumping energy costs. The proposed
analysis estimates the potential economic and engineering benefits of dynamic tariff designs. These
benefits are assessed for the Greater London area in the United Kingdom and its 15 million inhabitants.
Scarcity pricing is implemented by equating the marginal value of residential demands with the estimates
of the marginal economic values of environmental flows derived from tourism, property values, etc. Over
the 85-year historical period, scarcity pricing during droughts resulted in a 70% reduction in
environmental flow shortage volumes whilst residential prices rose above twice the base rate only 3%
of the time. The net present value of estimated savings from peak pricing was evaluated approximately
at £30 million for each of the initial percentage points in peak usage reduction. The talk also discusses
the wider implications, challenges and benefits of dynamic pricing, and its potential links to customer
interaction, social media, and to the SmartH2O project more generally.
Dettaglio pubblicazione
2016, iEMSs 2016 Conference Environmental modelling and software for supporting a sustainable future, Pages 794-794 (volume: 3)
Smart meter enabled dynamic pricing of water (04d Abstract in atti di convegno)
Rougè Charles, Harou Julien, Garrone Paola, Pulido-Velasquez Manuel, Marzano Riccardo, Giuliani Matteo, Cominola Andrea, Lopez Nicolas Antonio, Castelleti Andrea, Rizzoli Andrea Emilio
ISBN: 978-88-9035-745-9
Gruppo di ricerca: Industrial Organization and Management