Given at UCSE2010, More detail here http://www.hcilab.org/events/ucse2010/index.php/Main_Page. A slide was removed for confidentiality reasons.

1. Matchsticks:
Modelling a house
C. Ellis, M. Hazas
Overview
Proposed Solution
Matchsticks: Modelling a house
Carl Ellis Mike Hazas
School of Computing and Communications
Lancaster University
Lancaster, UK
September 27, 2010
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2. Matchsticks:
Background of the Problem Modelling a house
C. Ellis, M. Hazas
Overview
Proposed Solution
62% of residential energy in the UK comes from space heating
Often in the form of a single temperature control for the
whole house
Systems are sluggish to respond to user input
There exists a need for an automated system to bring your
house temperature to a comfortable level
For these systems to successfully reduce energy requirements,
whilst maintaining user comfort, there is a need to create a
per room building model
Future actuation systems can then use this model to do their
jobs in the most efficient way.
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3. Matchsticks:
Proposed Solution Modelling a house
C. Ellis, M. Hazas
Overview
Proposed Solution
Per room sensor network within the building
Sensing and logging given data to model each room.
Get thermal data, per-room occupancy data, and outside
weather data at the very least
Other optional data to be given to the model:
Humidity
Whole-house electricity/Gas meter readings
Door/window open or closed
Floor plan, or other building information model (BIM)
From this data create a model which parameterises thermal
conductivity and capacity, and predicts expected temperature
by time, at a per room level.
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4. Matchsticks:
Proposed Solution Modelling a house
C. Ellis, M. Hazas
Overview
Proposed Solution
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5. Matchsticks:
Any Questions Modelling a house
C. Ellis, M. Hazas
Overview
Proposed Solution
Thank you for your time and attention, any questions.
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