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Stephen Porritt PhD Research Student, IESD Supervisors:

Building orientation and occupancy patterns and their effect on interventions to reduce overheating in dwellings during heat waves. Stephen Porritt PhD Research Student, IESD Supervisors: Prof. Li Shao , Dr. Paul Cropper, Dr. Chris Goodier IESD PhD Conference, 21 st May 2010. Background.

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Stephen Porritt PhD Research Student, IESD Supervisors:

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  1. Building orientation and occupancy patterns and their effect on interventions to reduce overheating in dwellings during heat waves Stephen Porritt PhD Research Student, IESD Supervisors: Prof. Li Shao, Dr. Paul Cropper, Dr. Chris Goodier IESD PhD Conference, 21st May 2010

  2. Background • UK predicted to experience more frequent and more intense extreme weather events, including heat waves and flooding (UKCIP) UK Government and Local Authorities developing adaptation plans, e.g. NI 188 • EPSRC funding the CREW Project: • Community Resilience to Extreme Weather

  3. Aims and Objectives • Rank the effectiveness of a range of interventions (single and clustered) in reducing overheating in UK dwellings during heat waves • Use computer simulation (IES) to produce intervention ranking orders for a range of dwelling types and occupancy patterns • Investigate the effect of heat wave duration • Evaluate the simulations through monitoring a real building • Investigate uncertainty in simulation results

  4. Selection of House Types Targeted dwelling types: • Representative of housing stock in South East England – the CREW project target area • Cross-referenced with English House Condition Survey and Energy Saving Trust databases

  5. House Type 1: Victorian Terraced • Built late 19th century • Most common type for London • Solid brick walls • Some modernisation: • Cavity brick/block rear extension • Basic uPVC double glazing • 100mm loft insulation

  6. Interventions • Increased loft insulation • Internal wall insulation • External wall insulation • Internal blinds • External shutters • Fixed shading over south-facing windows • Light coloured walls • Light coloured roof • Changing window opening rules • Night ventilation by opening ground floor windows • Low-e double glazing

  7. Weather Data 4-day heat wave

  8. Occupancy Profiles

  9. Simulation Results: Terraced House Main Bedrooms(south facing windows)

  10. Simulation Results: Terraced House Main Bedrooms(south facing windows)

  11. Simulation Results: Terraced House Living Rooms(north facing windows)

  12. Simulation Results: Terraced House Living Rooms(north facing windows)

  13. Simulation Results: Terraced House Living Rooms(north facing windows)

  14. Living Room – Heat Wave Day

  15. Living Room – Heat Wave Day

  16. Living Room – Heat Wave Day

  17. Living Room – Heat Wave Day

  18. Simulation Results: Terraced House Living Rooms(family occupancy profile) Degree hours over 280C during 4 day heat wave

  19. Simulation Results: Terraced House Living Rooms(family occupancy profile) Degree hours over 280C during 4 day heat wave

  20. Simulation Results: Terraced House Living Rooms(family occupancy profile) Degree hours over 280C during 4 day heat wave

  21. Summary • Important to consider occupants and building orientation when planning adaptation to heat waves • Particularly important for vulnerable groups such as the elderly • Internal wall insulation shown to increase overheating problem for daytime occupation

  22. Current Work Simulations covering a range of dwellings, building orientation and occupancy profiles Clustered interventions Abbey House Elderly care home Comparison of simulation results with measured data Effect of interventions on winter heating loads

  23. Thank You Stephen Porritt: CREW Project: IESD: sporritt@dmu.ac.uk www.extreme-weather-impacts.net www.iesd.dmu.ac.uk

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