GEC Ecomagination Challenge Submission
Ecomagination Challenge
Nick Robinson and Team, September 2010
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Grid Futures : A Technical Vision
Existing National Grid Infrastructure
Notes: Roots are physically connected underground in a
“Ribbon Mesh”, but not the trunks! The “Virtual Ring Circuit ” on ground is shown dashed, forming a packet-switched route
Nick Robinson and Team, September 2010
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Global Economic Expansion
Energy provision for each and all on demand
Effective Global Future Energy Provision requires effective Global leadership, operating within an
ethical social and environmental context
with the emphasis on providing opportunities for work and enterprise
balancing local and centralised energy generation
Nick Robinson and Team, September 2010
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Wind
Ocean Current
Tidal Flow and Wave
Solar, Geothermal
Cleaner Nuclear
Cleaner Coal
Nick Robinson and Team, September 2010
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Nick Robinson and Team, September 2010
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Networked Smart UPSs featuring
Packet-switched, cable-Integrated DC power distribution
Domestic switched mode uninterruptible Power Supplies (smart
UPSs)
Street hub switches
Networked device mapping
Nick Robinson and Team, September 2010
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Greener energy provision
Climate stabilisation
Low Environmental Impact Grid
Sustainable energy generation
Renewable resources
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Growing Global Demand for Energy
Climate Stabilisation
Segmentation of work
Workload gets divided up within communities
“Artificial Ethics”
Fairness and equality of access to scarce resources (work)
Microsoft with New Scientist “Visions of the Future”
Runner-up, Science Museum,
London, May 2008
Nick Robinson and Team, September 2010
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•Creating local opportunities
•Provision of work in the community
•Communication
•“Knowledge alone is Power”
•‘Smart Power is Knowledge’
Nick Robinson and Team, September 2010
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Energy generation
within a distributed environment
within an embedded environment
Sustainable resource provision
the digital rainforest
Charge caching intermittent supply
using electric vehicle battery
Ecomagination Challenge banks
Nick Robinson and Team, September 2010
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Digital Rainforest Analogy Further Developed
Existing National Grid Infrastructure
Peripheral Grid Extension
Nick Robinson and Team, September 2010
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Open up new possibilities for smarter communication of power requirements
Parity of Charge Packets
Nick Robinson and Team, September 2010
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Adapting the SHEL Model
Broadened human, social, environmental and engineering interactions (interfaces)
Human Factors Analysis
Object-Oriented Programming
Messaging Protocols
Requirements Analysis
Top-down / bottom-up design approach
H
Nick Robinson and Team, September 2010
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Greenware
E
L
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Analogue Amazon
Existing National Grid AC Infrastructure anologous to a river
Forest Water table retention by forest canopy is analogous to charge retention by local peripheral battery caches
Digital Canopy
Local distributed micro-generation and charge retention
Hybrid Branch Interfaces (refer to Figure)
Electric vehicle fuel stations
local substations
backed up with community micro-CHP generation
Nick Robinson and Team, September 2010
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Slow, mechanical circuit-switched network
less efficient; technology has moved on
Changing Supply and Demand Requirements
Environmental sourced supply intermittency
More home working and aging population
remote manufacturing locations
Energy Security
Shortages of oil and gas, dependency on foreign suppliers
Nick Robinson and Team, September 2010
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AC Vs. DC
Tesla Vs. Edison
AC is no longer better than DC!
Modern switching technology developments
Keynesian Economics
A model Post Great Depression infrastructure government spending initiative
Nick Robinson and Team, September 2010
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More Centralisation and Macro-Generation or more Distributed Micro-Generation?
More Wind?
More Coal?
More Nuclear?
More Wave Ocean and Tidal Flow?
Nick Robinson and Team, September 2010
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Deploy
Ocean and Tidal Flow generation offshore peripherally
Local DC micro-generation
Local DC charge caching
Cleaner coal AC generation upgrade centrally
Low environmental impact DC Smart Grid Extension
Develop test models further to CFD simulation
Lobby for an acceptable
smart power grid standardization from the Application Layer down (pto)
Nick Robinson and Team, September 2010
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Mesh Topology Figs. 1 a b c & d
Electric Fuel Station as Substation Node Fig.4
The Open Systems Interface Transport Fig. 2
Control / Internet Protocol Model
Application Layer Development
Presentation Layer Development
Distributed (Cloud) Computing
Reading
Nick Robinson and Team, September 2010
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Mesh Wiring Topology
Street Level Repeater
Hubs form a V.A.N.
Nick Robinson and Team, September 2010
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Mesh Topology
Street Wiring
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Fig. 4
Electric Fuel Station as Sub-station
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43 33KVAC
11KV AC
33KVAC
42 400KV -> 132KVAC
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Backbone DC Segments
CHP
Generator
Intermittent
11KVDC / 3.3KVDC
Chopping Packetswitched
Sub Station Node
46
12VDC
Charging
50
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44 3.3KVDC
Packet-
Switched
3.3KVDC drive-through packet-switched forecourt
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47
49 230VDC chopped packet switched
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3KVDC ->230VDC
Packet-switched local ring energy cache 41
Electric fuel station charging (intermittent)
Ethernet or token ring
49 230VDC Packet-switched
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53
3.3KVDC
Packet-
Switched
Packet switching charge-caching power router step-up
3.3KVDC -> 11KVDC
Nick Robinson and Team, September 2010
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Fig. 2
TCP/IP Stack
TCP/IP Protocol Stack 16
Application (the Grid controllers displays
with manual power control override commands)
IIS & Winsock APIs, remote database stubs
with pointers for charge accounting,
client user HMIs[1]
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Application
Header
User Data the actual chopped charge pulse transmitted
User
Data
TCP
Application ‘Message’
IP
Ethernet Driver
Ethernet
Transmission
Line (the physical network cable
Comprising the power line)
Ethernet
Header
14 Bytes
IP
Header
TCP
Header
The Power Packet containing the
Chopped Charge (Application Data)
TCP Segment (addressed charge packet)
TCP
Header
The Power Packet containing the
Chopped Charge (Application Data)
IP Datagram (Packet)
IP
Header
20 Bytes
TCP
Header
20 Bytes
The Power Packet containing the
Chopped Charge (Application Data)
Variable length
Ethernet Frame 20
46 – 1,500 Bytes (variable) x 8 = 12,000 bits per Frame
Ethernet
Trailer
4 Bytes
21 direction of switched packet charge travel throu gh one network leg at 1-10 mbps.
Nick Robinson and Team, September 2010
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Distributed (standardised) Component Object model for the non-standard top of the TCP/IP protocol stack
Design for semi-autonomous home browser console operation ‘bottom-up’
Allows remote database access (ordering of power supply)
Complex real-time visual data display and modelling
Back-end main-frame data and number crunching
Nick Robinson and Team, September 2010
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Extensible Markup Language XML allows
ongoing customisation, optimisation
revisions to embedded code fragments
additions of ‘known and unknown (un)knowns’
improvements as science explains ‘black box systems patches’ e.g. demand and supply routing patterns in better detail (learing predictive neural networks)
learned improvements to heuristic algorithms
pre-processed, economical data exchange
Nick Robinson and Team, September 2010
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Storm and crash-proof damage-hardened historical and learned data storage and backup
Avoiding data-processing bottlenecks
Nick Robinson and Team, September 2010
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Please refer to Slide Notes enclosed
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Nick Robinson and Team, September 2010
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