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A Stochastic Activity-Based Approach for Forecasting Occupant-Related Energy Consumption in Residential Buildings

[+] Author Affiliations
Toufic Zaraket, Bernard Yannou, Yann Leroy

Ecole Centrale Paris, Chatenay-Malabry, France

Stephanie Minel, Emilie Chapotot

ESTIA, Bidart, France

Paper No. DETC2014-35528, pp. V004T06A034; 11 pages
doi:10.1115/DETC2014-35528
From:
  • ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 4: 19th Design for Manufacturing and the Life Cycle Conference; 8th International Conference on Micro- and Nanosystems
  • Buffalo, New York, USA, August 17–20, 2014
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4635-3
  • Copyright © 2014 by ASME

abstract

Building occupants are considered as a major source of uncertainty in energy modeling nowadays. Yet, industrial energy simulation tools often account for occupant behavior through some predefined scenarios and fixed consumption profiles which yield to unrealistic and inaccurate predictions. In this paper, a stochastic activity-based approach for forecasting occupant-related energy consumption in residential buildings is proposed. First, the model is exposed together with its different variables. Second, a direct application of the model on the domestic activity “washing laundry” is performed. A number of simulations are performed and their results are presented and discussed. Finally, the model is validated by confronting simulation results to real measured data.

Copyright © 2014 by ASME

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