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Dr Alan Martin Redmond
redmonda@uci.edu
Dr Alain Zarli
alain.zarli@cstb.fr
Investigating New Business Models for the
Rise of Agent-Based Systems within
Sustainable Design
Professional Biographies
Dr Alan Martin Redmond received his PhD in 2013 from the School of Real Estate & Construction
Economics and Management, at Dublin Institute of Technology. He also undertook a Post-Doctorate
Fellowship at University of Toronto, and in 2016 completed his professional certificate at University
of California, Irvine | Extension studying Systems Engineering to better model environmental and
sustainable building dynamics. He is a member of the RICS, CSCE (https://csce.ca/) and AFIS
(Association Française d'Ingénierie Système). As project manager with Sigma Orionis (‘energy and
environment unit’ – France) he has gained R&D experience with several FP7 and H2020 projects
relating to sustainable urban developments.
Dr Alain Zarli is formerly Head of the “Innovation Numérique pour la Construction” division at
the Centre Scientifique et Technique du Bâtiment (CSTB) and in the “Technologies de l’Information
et Diffusion du Savoir” department (Sophia-Antipolis - FRANCE), and nowadays acting as
European Affairs manager and European projects expert in support to CSTB. His main fields of
interest are programming languages and compilation, product modelling, rule-based languages and
knowledge-based systems, distributed architectures, software components, and technologies for
smart constructions – and their broad application to the Built environment and the Construction
industry. He has been the Project Coordinator of various FP5, FP6 and FP7 projects, and H2020. He
is @ General Secretariat of the ECTP (European Construction Technology Platform) - supporting the
E2B cPPP, and the “Energy & Efficient Buildings”, “Active Ageing & Design” & “Infrastructures &
Mobility” Committees) in roadmapping and impact assessment. He is acting expert for the review
of European R&D projects on behalf of the European Commission and has been acting as leader of
the “Open Data” Action Group in the European Innovation Partnership Smart Cities and
Communities, and is contributing as expert to both the EIP SCC strategic Implementation Plan and
Operational Implementation Plan. He is member of the CIB W78 Board.
• Do we “Europe” have agile infrastructures, network
systems and operational models for developing and
maintaining smart grid applications for our city
districts and can we extend our Hyper Connected
World through Internet of Things and Big Data?
The Big Question
• The need for reducing energy emission is not only environmental
impacts but also financial
• IMF (2008) “the current unsustainable patterns of energy usage do not
only relate to costs and risks but also require large investments in green
energy”
• The European Union stresses the fact that utilities and Distribution
System Operators (DSOs) are facing new challenges in managing their
grids with increasing penetration of variable distributed generation i.e.
integration of renewables (expected to be up to 50% by 2030 as a clear
target established by the European Commission).
State the Problem
Client’s / Customer Requirements
INCOSE 2011
The Five Key elements of the Energy
Union strategy
• Biggs et al. (2015) recognized that Internet of Things as a function emerged
as early as 2005, based on the hyper-connectivity of our technological
advances in fields such as wireless and mobile connectivity, nanotechnology,
radio-frequency identification (RFID) and smart sensor technologies.
• ITU (2012) report defines IoT as, “A global infrastructure for the information
society, enabling advanced services by interconnecting (physical and virtual)
things based on existing and evolving interoperable ICT.”
• Biggs et al. Challenges:
i) Reliability
ii) Scalability
iii) Power
iv) Cost and Ownership of Models
Internet of Things and Big Data
Investigating Alternative Models (Case Studies)
• “Agent-based System Architecture is a network of intelligent agents that
share facts with other agents and adapt their behavior in response to
these shared facts; intelligent agents apply knowledge in the form of
rules to transform input to output facts and to make decisions to adapt
their behavior” Clymer (2009)
The Energy Hub (E-Hub)
Agents representing devices operating in a market with an auctioneer agent (sourced
from http://www.e-hub.org/agent-based-technology.html)
• Chen (2009) emphasized that Business Model 2.0 needs to take into
account not just the technology effect of Web 2.0 but also the networking
effect.
• Brynjolfsson and McAfee (2014) quoted “As massive technological
innovation radically reshapes our world, we need to develop new
business models, new technologies, and new policies that amplify our
human capabilities, so every person can stay economically viable in an
age of increasing automation”
• Yanrong et al. (2014) identified that business model cities are exploring
new business models to fund their smart city projects such as i) Cloud
Computing, ii) creating revenue from data, iii) pilot projects and iv)
smarter procurement.
New Business Models
The B2B2X use case ‘Amsterdam
ArenA Innovative Centre (AAIC)’
Common Business Models for City and ArenA (sourced with permission from Corcoran and Piva, 2014)
Traditional Business Strategy and Business
Process Re-engineering
Traditional Business Strategy and
Business Process Re-engineering
Emergent behavior (online energy and cost analysis design process)
Functional Flow Decomposition Diagram, legend (SCM – Supply Chain Management, CRM – Customer
Resource Management, BI – Business Intelligence)
Agent-Based System Architecture for an
online energy and cost analysis process
• The paper presented the E-Hub case study as an example of Agent-
based technology that implemented smarter financial instruments
that can increase investment in new technologies for city districts.
• The AAIC case study illustrated the technological innovation
provided by a Chinese company in developing an open-access
wireless LAN infrastructure in the Netherlands.
• The business models presented highlighted how new technologies
can provide more sustainable urban environments from a network
service view point using Cloud-based services.
• Europe has the capabilities to lead the world in smart grids
applications but the European energy and security market needs an
integrated electricity system to fully develop the potential of IoT
• For Europe to continue collaborating with China in respect to Smart Cities,
Web service applications will need to become more pronounced.
Summary

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CIB W78 2016_REDMOND_ZARLI

  • 1. Dr Alan Martin Redmond redmonda@uci.edu Dr Alain Zarli alain.zarli@cstb.fr Investigating New Business Models for the Rise of Agent-Based Systems within Sustainable Design
  • 2. Professional Biographies Dr Alan Martin Redmond received his PhD in 2013 from the School of Real Estate & Construction Economics and Management, at Dublin Institute of Technology. He also undertook a Post-Doctorate Fellowship at University of Toronto, and in 2016 completed his professional certificate at University of California, Irvine | Extension studying Systems Engineering to better model environmental and sustainable building dynamics. He is a member of the RICS, CSCE (https://csce.ca/) and AFIS (Association Française d'Ingénierie Système). As project manager with Sigma Orionis (‘energy and environment unit’ – France) he has gained R&D experience with several FP7 and H2020 projects relating to sustainable urban developments. Dr Alain Zarli is formerly Head of the “Innovation Numérique pour la Construction” division at the Centre Scientifique et Technique du Bâtiment (CSTB) and in the “Technologies de l’Information et Diffusion du Savoir” department (Sophia-Antipolis - FRANCE), and nowadays acting as European Affairs manager and European projects expert in support to CSTB. His main fields of interest are programming languages and compilation, product modelling, rule-based languages and knowledge-based systems, distributed architectures, software components, and technologies for smart constructions – and their broad application to the Built environment and the Construction industry. He has been the Project Coordinator of various FP5, FP6 and FP7 projects, and H2020. He is @ General Secretariat of the ECTP (European Construction Technology Platform) - supporting the E2B cPPP, and the “Energy & Efficient Buildings”, “Active Ageing & Design” & “Infrastructures & Mobility” Committees) in roadmapping and impact assessment. He is acting expert for the review of European R&D projects on behalf of the European Commission and has been acting as leader of the “Open Data” Action Group in the European Innovation Partnership Smart Cities and Communities, and is contributing as expert to both the EIP SCC strategic Implementation Plan and Operational Implementation Plan. He is member of the CIB W78 Board.
  • 3. • Do we “Europe” have agile infrastructures, network systems and operational models for developing and maintaining smart grid applications for our city districts and can we extend our Hyper Connected World through Internet of Things and Big Data? The Big Question
  • 4. • The need for reducing energy emission is not only environmental impacts but also financial • IMF (2008) “the current unsustainable patterns of energy usage do not only relate to costs and risks but also require large investments in green energy” • The European Union stresses the fact that utilities and Distribution System Operators (DSOs) are facing new challenges in managing their grids with increasing penetration of variable distributed generation i.e. integration of renewables (expected to be up to 50% by 2030 as a clear target established by the European Commission). State the Problem
  • 5. Client’s / Customer Requirements INCOSE 2011
  • 6. The Five Key elements of the Energy Union strategy
  • 7. • Biggs et al. (2015) recognized that Internet of Things as a function emerged as early as 2005, based on the hyper-connectivity of our technological advances in fields such as wireless and mobile connectivity, nanotechnology, radio-frequency identification (RFID) and smart sensor technologies. • ITU (2012) report defines IoT as, “A global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on existing and evolving interoperable ICT.” • Biggs et al. Challenges: i) Reliability ii) Scalability iii) Power iv) Cost and Ownership of Models Internet of Things and Big Data
  • 8. Investigating Alternative Models (Case Studies) • “Agent-based System Architecture is a network of intelligent agents that share facts with other agents and adapt their behavior in response to these shared facts; intelligent agents apply knowledge in the form of rules to transform input to output facts and to make decisions to adapt their behavior” Clymer (2009)
  • 9. The Energy Hub (E-Hub) Agents representing devices operating in a market with an auctioneer agent (sourced from http://www.e-hub.org/agent-based-technology.html)
  • 10. • Chen (2009) emphasized that Business Model 2.0 needs to take into account not just the technology effect of Web 2.0 but also the networking effect. • Brynjolfsson and McAfee (2014) quoted “As massive technological innovation radically reshapes our world, we need to develop new business models, new technologies, and new policies that amplify our human capabilities, so every person can stay economically viable in an age of increasing automation” • Yanrong et al. (2014) identified that business model cities are exploring new business models to fund their smart city projects such as i) Cloud Computing, ii) creating revenue from data, iii) pilot projects and iv) smarter procurement. New Business Models
  • 11. The B2B2X use case ‘Amsterdam ArenA Innovative Centre (AAIC)’ Common Business Models for City and ArenA (sourced with permission from Corcoran and Piva, 2014)
  • 12. Traditional Business Strategy and Business Process Re-engineering
  • 13. Traditional Business Strategy and Business Process Re-engineering
  • 14. Emergent behavior (online energy and cost analysis design process) Functional Flow Decomposition Diagram, legend (SCM – Supply Chain Management, CRM – Customer Resource Management, BI – Business Intelligence)
  • 15. Agent-Based System Architecture for an online energy and cost analysis process
  • 16. • The paper presented the E-Hub case study as an example of Agent- based technology that implemented smarter financial instruments that can increase investment in new technologies for city districts. • The AAIC case study illustrated the technological innovation provided by a Chinese company in developing an open-access wireless LAN infrastructure in the Netherlands. • The business models presented highlighted how new technologies can provide more sustainable urban environments from a network service view point using Cloud-based services. • Europe has the capabilities to lead the world in smart grids applications but the European energy and security market needs an integrated electricity system to fully develop the potential of IoT • For Europe to continue collaborating with China in respect to Smart Cities, Web service applications will need to become more pronounced. Summary