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Electrical Consumption Pattern of an Academic Building Dr Mehreen Gul EAUC November 2014
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Introduction A pilot study - Funded by EPSRC additional sponsorship To explore - Electrical energy demand profiles + user activities + occupancy for a university building
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Background CO 2 emissions reduction targets and buildings The actual energy consumption twice as much as predicted Inconsideration of human factors and energy management strategy
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Why an Academic building University buildings - significant consumers of electrical energy The energy demand behaviour less well understood than schools and offices Heterogeneity of activities - lectures, laboratories, offices, café as well as the energy services
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The Post Graduate Centre “Major 21st Century project at the Edinburgh campus”
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Why the PG centre? Availability of electrical consumption data at a half hourly resolution A multipurpose building- (activities include lecturing, research, administration, cafeteria and social gatherings/events)
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Newly constructed building with an EPC rating of ‘D’
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Data and Analysis Questionnaire(building users, 208 responses) Interviews(Building/Energy manager) Occupancy data (occupancy sensor to count people entering the building) Room activity(number of hours the rooms are occupied + the room capacity)
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Questionnaire 92% of the building users are visitors 39% are PG students and 55% are UG students 90% visit to attend a lecture 14% use PCs 66% use laptops 7% use photocopiers
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Personal Influence on consumption
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Face to face Interviews Working hours 7 am – 6.30 pm Limited access until midnight Café from 8 am to 3.30 pm 16 members of staff (the building manager, 3 academics and 12 support staff) BMS controls mechanical ventilation Fixed timings of operation throughout the year Audio-Visual Equipment Corridor lighting Glazed stair case
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15 th January 2013
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15 th May 2013
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Conclusions The building users have a small influence over the electrical consumption of the building Higher electrical consumption was observed when there are no occupants in the rooms and no activities are being carried out This implies that the automatic systems are running irrespective of the room occupancy and activity status
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Conclusions The occupancy patterns require to be considered by Estates The energy consumption data needs to be monitored on a regular basis and recharged to the energy management group to analyse and look at optimisation of the systems
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Conclusions Activities that are dependent on the user behaviour have the potential to save energy e.g. turning off the AV equipment, switching the lights off, shutting down the PCs and monitors when out of office and giving stairs precedence over elevators
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Thanks M.gul@hw.ac.uk
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