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MLE+: a tool for integrated design and deployment of energy efficient building controls

Published: 01 July 2013 Publication History

Abstract

Simulation engines for buildings can be realistic and accurate, but only provide basic control interfaces. Control engineers have developed robust and complex controls for energy-efficient building operation though such methods are often based on simplistic physical models. To address this issue, we developed MLE+, a tool for energy-efficient building automation design, co-simulation and analysis. This tool leverages the high-fidelity plant simulation capabilities of EnergyPlus building modeling software and the scientific computation and design capabilities of Matlab/Simulink for controller design. MLE+ facilitates integrated building simulation and controller formulation with integrated support for system identification, control design, optimization, simulation analysis and communication between software applications and building equipment. MLE+ has been successfully used to generate schedules for building HVAC control systems for peak power minimization.

Cited By

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  • (2023)AlphaShed: A scalable load flexibility model for shedding potential in commercial HVAC systemsEnergy and Buildings10.1016/j.enbuild.2022.112686279(112686)Online publication date: Jan-2023
  • (2022)A review of optimization based tools for design and control of building energy systemsRenewable and Sustainable Energy Reviews10.1016/j.rser.2022.112359160(112359)Online publication date: May-2022
  • (2021)Demand flexibility potential model for multi-zone commercial buildings using internal HVAC system statesProceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3486611.3486654(176-179)Online publication date: 17-Nov-2021
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Published In

cover image ACM SIGBED Review
ACM SIGBED Review  Volume 10, Issue 2
Special Issue on the Work-in-Progress (WiP) session of the 33rd IEEE Real-Time Systems Symposium (RTSS'12)
July 2013
30 pages
EISSN:1551-3688
DOI:10.1145/2518148
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 2013
Published in SIGBED Volume 10, Issue 2

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Cited By

View all
  • (2023)AlphaShed: A scalable load flexibility model for shedding potential in commercial HVAC systemsEnergy and Buildings10.1016/j.enbuild.2022.112686279(112686)Online publication date: Jan-2023
  • (2022)A review of optimization based tools for design and control of building energy systemsRenewable and Sustainable Energy Reviews10.1016/j.rser.2022.112359160(112359)Online publication date: May-2022
  • (2021)Demand flexibility potential model for multi-zone commercial buildings using internal HVAC system statesProceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3486611.3486654(176-179)Online publication date: 17-Nov-2021
  • (2020)Building control virtual test bed and functional mock-up interface standard: comparison in the context of campus energy modelling and controlJournal of Building Performance Simulation10.1080/19401493.2020.176919113:4(456-471)Online publication date: 26-May-2020
  • (2019)A modeling framework for optimization-based control of a residential building thermostat for time-of-use pricingApplied Energy10.1016/j.apenergy.2019.01.241242(1346-1357)Online publication date: May-2019
  • (2017)Energy efficient thermal comfort in open-plan office buildingsEnergy and Buildings10.1016/j.enbuild.2017.01.043139(476-486)Online publication date: Mar-2017
  • (2015)Centralized Management of HVAC Energy in Large Multi-AHU ZonesProceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments10.1145/2821650.2821655(157-166)Online publication date: 4-Nov-2015
  • (2015)On the Utility of Occupancy Sensing for Managing HVAC Energy in Large ZonesProceedings of the 2015 ACM Sixth International Conference on Future Energy Systems10.1145/2768510.2770948(219-220)Online publication date: 14-Jul-2015
  • (2014)A model-based design of Cyber-Physical Energy Systems2014 19th Asia and South Pacific Design Automation Conference (ASP-DAC)10.1109/ASPDAC.2014.6742873(97-104)Online publication date: Jan-2014

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