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The impact of occupancy resolution on the accuracy of building energy performance simulation

Published: 07 November 2018 Publication History

Abstract

Using Building Performance Simulation (BPS) is nowadays a standard practice in building design, building operation and energy management, model predictive control, fault detection and diagnosis applications. One of the major factors affecting the energy performance of buildings is occupancy. In this study, we analyze the impact of different resolutions of occupancy count profiles on BPS accuracy. These occupancy count profiles are obtained from a large educational building. These profiles includes: (1) whole-building occupancy distributed evenly across building zones, (2) detailed zone-level occupancy estimated from stereo-vision cameras and WiFi sensors. Simulations were carried out using a detailed white-box model implemented in EnergyPlus and validated against ground truth data. A comparison of the ground truth data with obtained simulation results indicate that the increased resolution of occupancy data does not necessarily improve the overall building energy consumption accuracy, but improves only occupancy-related results, e.g. ventilation energy consumption.

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Cited By

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  • (2023)Human Sensing by Using Radio Frequency Signals: A Survey on Occupancy and Activity DetectionIEEE Access10.1109/ACCESS.2023.326984311(40878-40904)Online publication date: 2023
  • (2022)Impact of occupant related data on identification and model predictive control for buildingsApplied Energy10.1016/j.apenergy.2022.119580323(119580)Online publication date: Oct-2022
  • (2020)Sensitivity Analysis of Probabilistic Occupancy Prediction Model using Big DataBuilding and Environment10.1016/j.buildenv.2020.106729(106729)Online publication date: Feb-2020
  • Show More Cited By

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Published In

cover image ACM Conferences
BuildSys '18: Proceedings of the 5th Conference on Systems for Built Environments
November 2018
211 pages
ISBN:9781450359511
DOI:10.1145/3276774
  • General Chair:
  • Rajesh Gupta,
  • Program Chairs:
  • Polly Huang,
  • Marta Gonzalez
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 07 November 2018

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Author Tags

  1. building performance simulation
  2. energy optimization
  3. occupancy

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Overall Acceptance Rate 148 of 500 submissions, 30%

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Cited By

View all
  • (2023)Human Sensing by Using Radio Frequency Signals: A Survey on Occupancy and Activity DetectionIEEE Access10.1109/ACCESS.2023.326984311(40878-40904)Online publication date: 2023
  • (2022)Impact of occupant related data on identification and model predictive control for buildingsApplied Energy10.1016/j.apenergy.2022.119580323(119580)Online publication date: Oct-2022
  • (2020)Sensitivity Analysis of Probabilistic Occupancy Prediction Model using Big DataBuilding and Environment10.1016/j.buildenv.2020.106729(106729)Online publication date: Feb-2020
  • (2019)Context Recognition of Humans and Objects by Distributed Zero-Energy IoT Devices2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS.2019.00177(1787-1796)Online publication date: Jul-2019
  • (2019)Room-level occupant counts and environmental quality from heterogeneous sensing modalities in a smart buildingScientific Data10.1038/s41597-019-0274-46:1Online publication date: 26-Nov-2019
  • (undefined)Assessment of Occupancy Estimators for Smart Buildings2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)10.1109/IDAACS.2019.8924339(228-233)

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