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Designing an Early Warning System for domestic appliances Presentation of results Joost van Barneveld Marnix Brinkman Jens Haakman Tom van Tol Frank Wilbrink July 2nd2010 Commisioned by Supervised by Dominique Tappy Luis Janeiro Sible Schöne Kornelis Blok
Contents Introduction Research Methodology EWS Methodology Results Recommendations Conclusions Question
Relevance of an Early Warning System Power: up  to 32 W EcodesignDirective: max. 13 W Would have saved 375 GWh annualy 120.000 tonnes of coal 280.000 tonnes of CO2
Research Question 	“What should the design be of an Early Warning System for the Netherlands that can identify and select upcoming household appliances based on their additional energy use and potential saving options,in order to facilitate preventive policy making?”
Intermediate research questions How should upcoming and potentially inefficient household appliances be identified?  Based on which criteria should the household appliances be selectedand how can the necessary information for these criteria be obtained?  How should the EWS obtain information about the total energy impactof the selected household appliances? How should energy saving options for inefficient appliances be identified and evaluated?  How should policy advicebased on the findings about upcoming household appliances be reported, by whom and to whom?  Who should run the EWS? What information should it exactly provideand to whom? 
Navigation Introduction Research Methodology EWS Methodology Results Recommendations Conclusions Question
Learning by doing No examples of an existing EWS Client EWS methodology suggestion Inventory Selection Analyse energyuse Analyse potentialsavings Reporting
Navigation Introduction Research Methodology EWS Methodology Results Recommendations Conclusions Question
EWS Methodology
10 Identification Brainstorm  Magazines  Other methods Retail stores Trend watchers Internet sources  
11 Selection Appliances should be Dutch New  Consumingenergy Excludedfrom the EU EcoDesign Directive Impact the household energy budget for > 0.5% =  
12 Selection - Example Waterbed Impact of + 3.1% on energy budget of 3500 kWh Significant market penetration Not new, no growing market penetration Set-Top-Boxes Impact of + 1.4%  New and growing market penetration  
13 Selection - Results Shortlist: top-10 appliances Selectionbyclient: Prove usefulness of an EWS High profile products such as STBs and Modems Novelty kitchen appliances (Espresso, Quooker®)  
14 Selection - Results  
15 Energy Use Analysis Power and usage statistics Off Standby idle  Operational/on Replacement of appliances Market penetration  
16 Energy Use Analysis Impact=Off, Standby, Idle, Load(Enew appliance−Eold appliance)3500kWh×Market penetration    
17 Energy Savings Analysis Avoidable standby use? Switched off? Best practice? High power consumption?  
18 Reporting Three page report per appliance Description Energy consumption and usage Impact assessment Savings recommendations  
Navigation Introduction Research Methodology EWS Methodology Results Recommendations Conclusions Question
Internet Modems Upward impact: 3,5% – 6,1% per modem Broadband internet diffusion nearly 90% Turn modem off Minimizepower consumption
Home Servers Fits in the digital media trend One additional PC per household Always on, impact  between 3% and 21% Any PC can function as a home server Design to minimize power use and idle time
Desktop PC Video Cards Better graphics  more power Impact between 0,3% and 2,8% Consumers need to match their needs Very few consumers actually need high end cards Low and medium end cards impact up to 0,3%
Boiling Water Tap
Set-Top Boxes Digital TV separate decoders Energy usage seems unthought of Uses between 2,8% and 4,3% Ecodesign Directive should solve this issue
Espresso Machines Hot-reservoir machines consume up to 2263 kWh or 64% Effective power management can save up to 1/2 of consumption Filter pad machines save energy Like black coffee ?225 g of coal per cup !
Game Consoles New generations Impact XBox 360, PS3 up to 4,9% – 5,7 % Semiconductor innovations Don’t use for DVDs uses 125 – 173 Watt versus 13 watt
Air Refreshers Impact between 1% - 4% Increasing market penetration due to allergies Multiple devices per household Some functions like lights can be removed
Navigation Introduction Research Methodology EWS Methodology Results Recommendations Conclusions Question
Workflow Actors Data acquisition Operator Recommendations
Workflow
Actors
Data Acquisition Consumers Large quantities, less reliable Professionals Marketpenetration ? Data may be biased Introduces budget issues Legislation Effective Slow • Manufacturers • TNO • GfK EWS Database
Operation An NGO should operate the EWS Neutral party Professional organisation Can attract funds Actor targeted warning Manufacturers: design recommendations, ranking Consumers: website, newspaper article NGOs: Factsheets, press kits Government: legislation advice, climate impacts
Recommendations
Navigation Introduction Research Methodology EWS Methodology Results Recommendations Conclusions Question
Conclusion I’m diggin’ this hole so you can power your set top box... For nothing. So, get this EWS running ASAP Got it ?

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Design of an Early Warning System for domestic appliances

  • 1. Designing an Early Warning System for domestic appliances Presentation of results Joost van Barneveld Marnix Brinkman Jens Haakman Tom van Tol Frank Wilbrink July 2nd2010 Commisioned by Supervised by Dominique Tappy Luis Janeiro Sible Schöne Kornelis Blok
  • 2. Contents Introduction Research Methodology EWS Methodology Results Recommendations Conclusions Question
  • 3. Relevance of an Early Warning System Power: up to 32 W EcodesignDirective: max. 13 W Would have saved 375 GWh annualy 120.000 tonnes of coal 280.000 tonnes of CO2
  • 4. Research Question “What should the design be of an Early Warning System for the Netherlands that can identify and select upcoming household appliances based on their additional energy use and potential saving options,in order to facilitate preventive policy making?”
  • 5. Intermediate research questions How should upcoming and potentially inefficient household appliances be identified? Based on which criteria should the household appliances be selectedand how can the necessary information for these criteria be obtained? How should the EWS obtain information about the total energy impactof the selected household appliances? How should energy saving options for inefficient appliances be identified and evaluated? How should policy advicebased on the findings about upcoming household appliances be reported, by whom and to whom? Who should run the EWS? What information should it exactly provideand to whom? 
  • 6. Navigation Introduction Research Methodology EWS Methodology Results Recommendations Conclusions Question
  • 7. Learning by doing No examples of an existing EWS Client EWS methodology suggestion Inventory Selection Analyse energyuse Analyse potentialsavings Reporting
  • 8. Navigation Introduction Research Methodology EWS Methodology Results Recommendations Conclusions Question
  • 10. 10 Identification Brainstorm Magazines Other methods Retail stores Trend watchers Internet sources  
  • 11. 11 Selection Appliances should be Dutch New Consumingenergy Excludedfrom the EU EcoDesign Directive Impact the household energy budget for > 0.5% =  
  • 12. 12 Selection - Example Waterbed Impact of + 3.1% on energy budget of 3500 kWh Significant market penetration Not new, no growing market penetration Set-Top-Boxes Impact of + 1.4% New and growing market penetration  
  • 13. 13 Selection - Results Shortlist: top-10 appliances Selectionbyclient: Prove usefulness of an EWS High profile products such as STBs and Modems Novelty kitchen appliances (Espresso, Quooker®)  
  • 14. 14 Selection - Results  
  • 15. 15 Energy Use Analysis Power and usage statistics Off Standby idle Operational/on Replacement of appliances Market penetration  
  • 16. 16 Energy Use Analysis Impact=Off, Standby, Idle, Load(Enew appliance−Eold appliance)3500kWh×Market penetration    
  • 17. 17 Energy Savings Analysis Avoidable standby use? Switched off? Best practice? High power consumption?  
  • 18. 18 Reporting Three page report per appliance Description Energy consumption and usage Impact assessment Savings recommendations  
  • 19. Navigation Introduction Research Methodology EWS Methodology Results Recommendations Conclusions Question
  • 20. Internet Modems Upward impact: 3,5% – 6,1% per modem Broadband internet diffusion nearly 90% Turn modem off Minimizepower consumption
  • 21. Home Servers Fits in the digital media trend One additional PC per household Always on, impact between 3% and 21% Any PC can function as a home server Design to minimize power use and idle time
  • 22. Desktop PC Video Cards Better graphics  more power Impact between 0,3% and 2,8% Consumers need to match their needs Very few consumers actually need high end cards Low and medium end cards impact up to 0,3%
  • 24. Set-Top Boxes Digital TV separate decoders Energy usage seems unthought of Uses between 2,8% and 4,3% Ecodesign Directive should solve this issue
  • 25. Espresso Machines Hot-reservoir machines consume up to 2263 kWh or 64% Effective power management can save up to 1/2 of consumption Filter pad machines save energy Like black coffee ?225 g of coal per cup !
  • 26. Game Consoles New generations Impact XBox 360, PS3 up to 4,9% – 5,7 % Semiconductor innovations Don’t use for DVDs uses 125 – 173 Watt versus 13 watt
  • 27. Air Refreshers Impact between 1% - 4% Increasing market penetration due to allergies Multiple devices per household Some functions like lights can be removed
  • 28. Navigation Introduction Research Methodology EWS Methodology Results Recommendations Conclusions Question
  • 29. Workflow Actors Data acquisition Operator Recommendations
  • 32. Data Acquisition Consumers Large quantities, less reliable Professionals Marketpenetration ? Data may be biased Introduces budget issues Legislation Effective Slow • Manufacturers • TNO • GfK EWS Database
  • 33. Operation An NGO should operate the EWS Neutral party Professional organisation Can attract funds Actor targeted warning Manufacturers: design recommendations, ranking Consumers: website, newspaper article NGOs: Factsheets, press kits Government: legislation advice, climate impacts
  • 35. Navigation Introduction Research Methodology EWS Methodology Results Recommendations Conclusions Question
  • 36. Conclusion I’m diggin’ this hole so you can power your set top box... For nothing. So, get this EWS running ASAP Got it ?

Notas do Editor

  1. How do we get the list of devices ?
  2. To what criteria does an appliance gave to comply ?
  3. To what criteria does an appliance gave to comply ?
  4. To what criteria does an appliance gave to comply ?
  5. To what criteria does an appliance gave to comply ?
  6. If a device complies with criteria for further study, this is what we’re gonna do
  7. If a device complies with criteria for further study, this is what we’re gonna do
  8. When the appliance has been studied, we can focus on the design and improvement possibilities / looking more inside the device
  9. When all is known about the appliance, a warning is given out and communications with the developer are started. Either they improve their practice, or we can start naming and shaming