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Feedback and Feedforward Mechanisms for Generating Occupant Datasets for UK School Stock Simulation Modelling

Grassie, DA; Korolija, I; Mumovic, D; Ruyssevelt, P; (2018) Feedback and Feedforward Mechanisms for Generating Occupant Datasets for UK School Stock Simulation Modelling. In: Building Simulation and Optimization Conference 2018 Proceedings. IBPSA: Cambridge, UK. Green open access

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Abstract

National construction and energy datasets coupled with batch building performance simulation techniques have made feasible the construction of a stock building simulation model of over 16,000 schools. Although this should provide insights for targeted energy efficiency measures, discrepancies between measured and calculated performance limit predictive powers. A case study of building simulation models of three London schools built using the stock modelling process is presented. Discrepancies in calculated performance have been demonstrated when standardised variables are assumed for schedules, setpoints and equipment over the entire stock. Feedback mechanisms are proposed as a means of recruiting school building users to facilitate future data provision.

Type: Proceedings paper
Title: Feedback and Feedforward Mechanisms for Generating Occupant Datasets for UK School Stock Simulation Modelling
Event: Building Simulation and Optimization Conference 2018
Location: Emmanuel College, Cambridge
Dates: 11 September 2018 - 12 September 2018
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.ibpsa.org/bso-2018-proceedings/
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10054677
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