Analyzing the effects of comfort relaxation on energy demand flexibility of buildings: A multiobjective optimization approach

•We present a multiobjective analysis of the effects of comfort relaxation on energy demand flexibility of buildings.•We analyze different control formulations and architectures.•We have found that the use of rigorous thermal comfort models yields substantial improvements in flexibility and reliabil...

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Veröffentlicht in:Energy and buildings 2014-12, Vol.85, p.416-426
Hauptverfasser: Morales-Valdés, Pilar, Flores-Tlacuahuac, Antonio, Zavala, Victor M.
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container_end_page 426
container_issue
container_start_page 416
container_title Energy and buildings
container_volume 85
creator Morales-Valdés, Pilar
Flores-Tlacuahuac, Antonio
Zavala, Victor M.
description •We present a multiobjective analysis of the effects of comfort relaxation on energy demand flexibility of buildings.•We analyze different control formulations and architectures.•We have found that the use of rigorous thermal comfort models yields substantial improvements in flexibility and reliability. We present a multiobjective optimization framework to evaluate the effects of comfort relaxation on the energy demands of buildings. This work is motivated by recent interest in understanding demand elasticity available for real-time electricity market operations and demand response events. We analyze the flexibility provided by an economics-based control architecture that directly minimizes total energy and by a traditional tracking control system that minimizes deviations from reference temperature and relative humidity set-points. Our study provides the following insights: (i) using percentage mean vote (PMV) and predicted percentage dissatisfied (PPD) constraints within an economics-based system consistently gives the most flexibility as comfort is relaxed, (ii) using PMV and PPD penalization objectives results in high comfort volatility, (iii) using temperature and relative humidity bounds severely overestimates flexibility, and (iv) tracking control offers limited flexibility even if used with optimal set-back conditions. We present a strategy to approximate nonlinear comfort regions using linear polyhedral regions, and we demonstrate that this reduces the computational complexity of optimal control formulations.
doi_str_mv 10.1016/j.enbuild.2014.09.040
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source Elsevier ScienceDirect Journals Complete
subjects Applied sciences
Building technical equipments
Buildings
Buildings. Public works
Comfort
Comfort relaxation
Computation methods. Tables. Charts
Deviation
Economics
energy flexibility
Energy management and energy conservation in building
Environmental engineering
Exact sciences and technology
Flexibility
HVAC systems
Markets
Multiobjective optimization
Optimal control
Optimization
Relative humidity
Structural analysis. Stresses
Tracking control
title Analyzing the effects of comfort relaxation on energy demand flexibility of buildings: A multiobjective optimization approach
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