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Optimizing Passive House: A look at Kranichstein (& Saskatoon) using PDT-Passivhaus

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This paper was presented at the 2016 International Passive House Conference. It looks at how the 1st Passive House in Kranichstein, Germany, was optimized and how this influenced the development of the Passive House Standard. Another project in Saskatoon is also reviewed to show how this new PDT-Passivhaus optimizer software service can help designers and energy modelers find the best combination of assemblies, areas and components to achieve the comfort and performance targets of the Passive House Standard.

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Optimizing Passive House: A look at Kranichstein (& Saskatoon) using PDT-Passivhaus

  1. 1. Bronwyn Barry, CPHD Darmstadt, Germany IPHC, April 2016 Optimizing Passive House: A look at Kranichstein (& Saskatoon) through the lens of PDT-Passivhaus passivhaus.protolife.com
  2. 2. Overview: passivhaus.protolife.com ●● ● ●●●●●●●●●●●●●●●●● ● ●● ● ●●●●●● ● ●● ●● ●●●●● ● ● ● ● ● ●●● ● ● ● ● ● ●● ● ● ● ● ● ●●●● ●● ●● ● ●● ● ●●●● ● ● ● ● ● ● ● ●● ● ● ●● ● ● ● ● ● ●●● ● ● ● ●●● ● ● ● ●● ● ● ● ●● ●●●● ●●● ●●●● ● ●●●●● ● ● ●●●● ● ● ● ● 322.5 400 15.2 26.4 70 200 0.825 0.96 66 198 0.15 0.9 8.285 12.964 TreatedFloorAreaforAnnual...1 WindowSurfaceArea WalltoAmbientSurfaceArea HRV/ERVRecovery%Efficiency ThermalMassBenefit Airtightnessbenefit SpecificSpaceHeatingDemand variable value Full optimization, top 1 − 20 results • The need for optimization & the birth of PDT-Passivhaus • Looking at Kranichstein – was it optimized? • A demo project in Saskatoon • Future Plans & Questions 2
  3. 3. • The PHPP spreadsheet can be intimidating • Variable exploration requires tedious manual labor or complex macro programming skills • No established habit of optimization • Opportunities to meet the Passive House Standard are being missed Why the need for Optimization? passivhaus.protolife.com3
  4. 4. Our Adventure: In search of PHPP ‘source cells’... passivhaus.protolife.com Image Credit: L: www.britannica.com, R: www.moviesdvdreleases.com 4
  5. 5. Your intrepid explorers passivhaus.protolife.com Norman Packard Ralph Barhydt Bronwyn Barry William Barhydt 5
  6. 6. In search of variables… passivhaus.protolife.com6
  7. 7. Where we began… passivhaus.protolife.com Variable specification Graphical output 7
  8. 8. What we’ve developed… passivhaus.protolife.com Two options: 1. Single variable fixed optimization 2. Full dynamic optimization & data Outputs are: • Graphic • Downloadable in visual or numeric formats. 8
  9. 9. How it works… passivhaus.protolife.com Software as a Service 1. User creates an account 2. Uploads a PHPP 3. Selects variables 4. Run & review results 5. Uses outputs to modify PHPP Web Interface Upload PPHP wb Download results ProtoLife Passivhaus Server Repeatedly launch PHPP wb to gather data to optimize Microsoft Excel 9
  10. 10. Looking at Kranichstein… passivhaus.protolife.com
  11. 11. Kranichstein: By the Assemblies… passivhaus.protolife.com Exterior Wall U-Value Basement Ceiling U-Value Roof U-Value Window Surface Area 11
  12. 12. Kranichstein: By Window Areas… passivhaus.protolife.com North Window Area West Window Area South Window Area 12
  13. 13. Kranichstein: Heat Load vs Heating Demand… passivhaus.protolife.com Window Surface Area Avg. Window U-Value Exterior Wall U-Value Roof U-Value HRV/ERV Recovery % Efficiency Airtightness Benefit Window Spacer Psi Value South Window Area 13
  14. 14. ● ●●● ● ● ● ●●●● ●●● ● ●●● ● ● ●● ● ●● ●● ●●● ●● ● ●● ●●●● ●●● ● ● ●● ●●●● ● ● ●● ●● ● ●●●● ● ●● ●●●●● ● ●● ●●● ●● ●●●●●● ●● ●●●●●● ● ● ● ●●●●●● ● ● ●● ● ● ●●●●● ● ●● ● ●●● ● ●●● ● ●● ●● ●●● ●● ● ●●●●●● ●● ●● ●●● ● ● ● ● ● ● ● ●● ●● ● ● ● ● ● ● ●● ● ● ●●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ●● ● ●● ● ● ●●●● ● ●●●●●● ●●● ● ●●● ●●●● ● ●●●●●●● ●● ●●●●●●● ●● ●●●●●●●●● ●●●● ●●● ●●●● ●●●● ●●● ●● ●● ●●●●● ●●● ●●●●● ●●●● ●●● ● ● ●● ● ● ● ● 21.7 39.925 0.688 0.96 0.12 0.4 0.504 0.93 0.1 0.125 1.904 3.714 WindowSurfaceArea HRV/ERVRecovery%Efficiency Airtightnessbenefit WindowFrameU−Value ExteriorwallU−value SpecificSpaceHeatingDemand variable value Full optimization, top 1 − 50 results Kranichstein: Hypothetical explorations… passivhaus.protolife.com Radical Heating Demand Reduction if… but WHY? 14
  15. 15. ● ● ● ● ● ● ●● ● ●● ● ● ●● ● ● ● ●● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ●● ● ● ● ●● ● ●●● ● ●●●●● ● ●●● ● ●● ●● ● ●● ● ● ●● ● ● ● ● 0.504 0.788 0.036 0.074 0.35 0.525 9.206 9.343 WindowFrameU−Value WindowSpacerPsiValue WindowGlassU−Value SpecificHeatingLoad variable value Full optimization, top 1 − 20 results Kranichstein: Window Replacement… passivhaus.protolife.com Best Window U-Value = 0.35 W/(m2K) Window Frame U-Value = 0.504 W/(m2K) Spacer Psi Value as critical for heat loss (more for hygiene) Findings: Not a significant reduction in the overall Heat Load 15
  16. 16. Kranichstein: Added Solar instead… passivhaus.protolife.com Image Credit: @wolfgangfeist 16
  17. 17. Saskatoon Example Project Optimization passivhaus.protolife.com A small project in a challenging climate…
  18. 18. 18 Saskatoon: Climate and Location passivhaus.protolife.com
  19. 19. 19 Saskatoon: Initial PHPP Results & Assemblies The metric PHPP results shown above, and assemblies shown at right are prior to optimization. Assemblies chart: metric in red and IP units in white. passivhaus.protolife.com
  20. 20. Saskatoon: PHPP Energy Balance Graph Find this graph in your PHPP (Usually on the Annual Heating Sheet) Review to identify which items in your project are losing the most energy? For this project they are: 1. Windows 2. Ventilation 3. Exterior Wall - Ambient passivhaus.protolife.com
  21. 21. 21 Saskatoon:‘Full Optimize’ Option… 1- Select the ‘Full Optimize’ tab 2- Select your Target 3- Select your Variables 4- Configure passivhaus.protolife.com
  22. 22. 22 Saskatoon: Selected ranges… 2- Launch! 1- Adjust sliders to a feasible range Note: current value for each variable is provided here passivhaus.protolife.com
  23. 23. The following variables have constant values for all optimizations in this range: Window Area: 12 Airtightness: 0.18 Specific Space Heating Demand = 25.022 Saskatoon: Full Optimize results… 1- Constants are Solid Choices! 2- Review Lowest Outputs next 3- Review other large clusters
  24. 24. 24 Saskatoon: Explore Heat Load Target… 1- Try Heating Load 2- Try new Variables 3- Configure passivhaus.protolife.com
  25. 25. Saskatoon: Make design changes… BEFORE AFTER South & East Elevations North & West Elevations (Your window style & placement may vary)
  26. 26. Saskatoon: Modified PHPP Assemblies… With your PDT-Passivhaus outputs, use the results to modify your PHPP and select the combination that best suits your project. For this project using fewer, higher performance windows, plus a tighter building envelope, our floor, wall and roof assemblies don’t need to be as well insulated. Choose what best reduces costs! passivhaus.protolife.com
  27. 27. Saskatoon: Success! This project meets the PH Standard via Heating Load
  28. 28. Summary & Future Plans: PDT-Passivhaus passivhaus.protolife.com Conclusions: 1. Heating Load target appears to be best goal for most climates 2. Culture & habit of optimization needs to be nurtured 3. Visualization of choices is helpful Future Plans: • Looking for user feedback • Currently Free to Beta Users • Updated for PHPP v.9 (metric and IP) 28
  29. 29. 29 passivhaus.protolife.com Twitter: @PDT_Passivhaus Thank You Bronwyn Barry, CPHD passivhaus@protolife.com passivhaus.protolife.com Questions?

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