towards service-based infrastructure: multi- utility...
TRANSCRIPT
School of Earth & Environment SUSTAINABILITY RESEARCH INSTITUTE
Towards service-based infrastructure: Multi-
Utility Service Companies
Katy Roelich, Christof Knoeri, Julia K. Steinberger
2111 Utility Service Provision Imagination Workshop
Cranfield 24th February 2012
Outline
1. Project context
2. Infrastructure operation`s barriers to efficiency
• Governance based on unmanaged demand
• Exclusion of end-user
• Separation of infrastructure streams
3. Project aim and objective
4. Multi-Utility Service Companies as a possible solution
5. Co-evolution of social and technical systems
6. Conclusion and outlook
2
Context of the project
Origin:
• EPSRC sandpit on "Achieving adaptable assets: sustainable integrated infrastructure“
Focus:
• Focusing on the pathway to service provision and infrastructure operation rather than on technologies
Project team:
• Julia Steinberger, Katy Roelich, Liz Varga and Christof Knoeri
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Project collaboration
4
Land of Multi Utility Service
Companies (MUSCos) Project team: University of Leeds /
Cranfield University
University of Leeds
Sustainability research
Institute (SRI)
Dr. Julia Steinberger
(PI)
Katy Roelich (AI)
Christof Knoeri
Tina Schmieder
Cranfield
University
Complex Systems
Research Centre
(CSRC)
Dr. Liz Varga
(CoI)
Newcastle
University
Transports Operations
Research Group
(TORG)
Prof. Phil Blythe (CoI)
University of
Exeter
Centre for Water
Systems
Prof. David Butler
(CoI)
University of
Edinburgh
Institute for Energy
Systems
Prof. Gareth Harrison
(CoI)
Oxford Brookes
University
Low Carbon Building
Group
Dr. Rajat Gupta
(CoI)
University of Leeds
Institute for Resilient
Infrastructure (iRI)
Dr. Phil Purnel (CoI)
ARUP
Global Energy
Strategy
Malcolm Ball
Kimberly
Clark
Technical
Director
Allan Wyatt
RSSB
Senior Research
Strategy Manager
Dr. Tanya McCallum
IBM
University
Relations
Manager
Steve P. Legg
Institute for
Sustainability
Research and
Business Development
Ed Metcalfe
Network Rail
Research and
Development
Specialist
Paul Richards
BRE
Strategic
Research
Peter Ball
Project work packages
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WP1:
“Standardizing services”
• end-user interface
• technical and economic issues
• standardized service contracts
WP2:
“Creative intervention”
• governance landscape
• regulations, incentives,
motivation, drivers, constraints
WP3:
“Socio-technical model”
• Identify barriers and opportunities
• Environmental & economic outcomes
• Technical integration of infrastructures
Inefficiency infrastructure operation Marginal Abatement Cost curve
6 Source: McKinsey 2010 “Impact of the financial crisis on carbon economics”
Inefficient infrastructure operation
Governance
7 Source: Unruh, (2000)
Inefficient infrastructure operation
Exclusion of end-user
8 Source: Geels (2005)
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Inefficient infrastructure operation
Separation of infrastructure streams
Source:
Rinaldi et al., (2002)
Project aim
Problem:
Governance based on unmanaged demand, the exclusions of the end-user and the separation of different infrastructure streams are obstacles to technical innovation and longer term sustainability.
Aim:
The central aim of the project is to address all three of these challenges simultaneously through the study and modelling of service-based infrastructure configurations (for example MUSCos) as co-evolving social and technical systems.
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Now: inefficient, uneconomical, unsustainable
End user
Utility A
Utility B Utility C
Utility D
Appliances
From product to performance-based economies
Steinberger, Van Niel & Bourg 2009
Solution? Multi-Utility Service Companies
End user
Utility A
Utility B Utility C
Utility D
MUSCo
Appliances
Co-evolution of social and technical systems
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Source: Geels and
Schot (2007)
Conclusion
• Governance based on unmanaged demand, excluding the end-user and the separation of different infrastructure streams are obstacles to technical innovation and longer term sustainability.
• Service-based utility provision may have the potential to overcome some of these barriers requiring a transition from a throughput-product-based to a service-performance-based economy.
• The study and modelling of service-based infrastructure configurations as coevolving social and technical systems allows for simultaneously addressing the current challenges of inefficient infrastructure operation.
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Thank you for your attention
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