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SYSTEMATIC INNOVATIONCLEANTECH IRELAND4th May 2010 pragmatic innovation solutions
How do most people solve problems? Technical Data from our field of knowledge Revert to our own experiences Ask people 2
THE DIFFERENCE IN APPROACH Typical approach -random iterative solution -ask people I know -accept the first good concept -accept problems as presented -the future is unknowable -features are fundamental -focus on the present -search Google and tech pubs -focus on ‘relevant’ experience -trial and error -simulation and optimisation -individual genius -redundancy is good -‘search and destroy’ Systematic Innovation ,[object Object]
use knowledge databases too
work up many concepts
dig until root problem is found
evolution has predictable patterns
functions are fundamental
examine past present and future
search patents too
focus on successful past solutions
understand system behaviour
eliminate trade-offs by design
teamwork and an effective method
simplicity is best
‘find and kill’3
SYSTEMATIC INNOVATION The Theory of Inventive Problem Solving Solutions change - functions stay the same The evolution of systems is not random - it follows repeatable patterns Somebody, somewhere has faceda similar problem to yours and managed to solve it… 	…all you need to do is find and adapt their solution 4
SYSTEMATIC INNOVATIONHow it works: WORLD’S BEST  SOLUTIONS A Generic Solution A Problem Like Mine My Specific Problem My Specific Solution 5
Innovation Analytics Technology Trends Regulatory Trends Innovation Arena Stakeholder Demands Organisation’s Preferences 6
Systematic Innovation Philosophy 7 Ideality Conflict Evolution  Time / Space / Interface Resources Functionality
Ideality 8
Ideality time Without SysInno: Infinite options Ideal final result ‘perfect, free, now’ With SysInno: Best practice Game changing High  impact Medium impact Finite options 9
Conflict 10
How specifically should manifolds be improved? ZoneAlone™ MultiZone™ 11

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SYSTEMATIC INNOVATION CLEANTECH

Hinweis der Redaktion

  1. Systemlink looked at a range of limitations and inconvenience factors in determining how to improve SystemZone.Multigenerational product roadmap first MultiZone then ZoneAloneProduct cost and installation time issues with SystemZone dominated the development of MultioneZoneAlone is a more radical product innovation which introduces new physical effects to provide radically better regulation of zone outflow temperatureStaged adoption of hydrolysis-resistant plastic materials by lowest risk route possibleProgressive integration of discrete hydronic components e.g. nonreturn valves and pumps
  2. Hydronic Manifolds SummaryMain Useful Function:Pressure ‘neutralisation’ - allow parallel connection and operation of hydronic sub-circuits without ‘crosstalk’Uses:Integrate diverse heat sources with minimal control complexityFacilitate deployment of zoned systems Two distinct generations seen so far:Tank-like systems – employ principle of buoyancy (thermal stratification) to segregate hotter and cooler fluid regions in common vessel. Disadvantages: size, cost, convenience, energy efficiency (heat transfer between hotter and cooler fluid masses) DUNSLEY-BAKER NEUTRALISER c.1982; Patent EP00085475 etcSegmented systems – employ twin fluid manifolds interlinked for pressure equalisation to segregate hotter and cooler fluid regions in common vessel. Smaller, cheaper, easier to plumb, improved efficiency. But… still costly, uses many discrete components, no modularity, heavy… SYSTEMZONE c. 1996; US06092734 etcThird generation systems being introduced now driven by usual cleantech drivers - material and energy waste reduction.3. Highly segmented systems – modular, lighter materials, much improved temperature regulation, improved energy efficiency, additional HVAC applications.MULTIZONE™ Q1 2010MINIZONE™, ZONEALONE™ 2010 Q3, Q4Others 2011
  3. Computational fluid dynamic simulation used extensively during product development to understand:Internal pressure lossesThermal mixing behaviourNon-return valve behaviourThermal capacity of manifoldStructural simulation using finite element methods used to determine:Pressure vessel performance of metal caseworkApproximate non- return valve component behaviour, forces and stressingPresent development efforts aimed at validating simulation results and implementing accelerated life tests.Field testing commencement by year-end 2009.
  4. Initial collaboration focused on proof of principle modelling, performance and life testing.Symbiotic relationship with active Thermo-Fluids research group led by Dr Anthony Robinson.Strong support from the State enterprise support agency Enterprise Ireland.Systemlink anticipates a bright future for high level RD&I in Ireland.Thank You!