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Use of model predictive control and weather forecasts for energy efficient building climate control

► Energy savings potential in buildings by using Model Predictive Control (MPC). ► New stochastic MPC strategy takes into account uncertainty in weather predictions. ► Stochastic MPC outperforms current control practice in terms of energy and comfort. ► For using stochastic MPC the quality of weathe...

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Published in:Energy and buildings 2012-02, Vol.45, p.15-27
Main Authors: Oldewurtel, Frauke, Parisio, Alessandra, Jones, Colin N., Gyalistras, Dimitrios, Gwerder, Markus, Stauch, Vanessa, Lehmann, Beat, Morari, Manfred
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cited_by cdi_FETCH-LOGICAL-c517t-99a4569c4f5788280e685733bfd9c069dd6141a7a9b58f5239bb02b775af01603
cites cdi_FETCH-LOGICAL-c517t-99a4569c4f5788280e685733bfd9c069dd6141a7a9b58f5239bb02b775af01603
container_end_page 27
container_issue
container_start_page 15
container_title Energy and buildings
container_volume 45
creator Oldewurtel, Frauke
Parisio, Alessandra
Jones, Colin N.
Gyalistras, Dimitrios
Gwerder, Markus
Stauch, Vanessa
Lehmann, Beat
Morari, Manfred
description ► Energy savings potential in buildings by using Model Predictive Control (MPC). ► New stochastic MPC strategy takes into account uncertainty in weather predictions. ► Stochastic MPC outperforms current control practice in terms of energy and comfort. ► For using stochastic MPC the quality of weather predictions is important. ► Stochastic MPC can be easily tuned by changing one parameter. This paper presents an investigation of how Model Predictive Control (MPC) and weather predictions can increase the energy efficiency in Integrated Room Automation (IRA) while respecting occupant comfort. IRA deals with the simultaneous control of heating, ventilation and air conditioning (HVAC) as well as blind positioning and electric lighting of a building zone such that the room temperature as well as CO 2 and luminance levels stay within given comfort ranges. MPC is an advanced control technique which, when applied to buildings, employs a model of the building dynamics and solves an optimization problem to determine the optimal control inputs. In this paper it is reported on the development and analysis of a Stochastic Model Predictive Control (SMPC) strategy for building climate control that takes into account the uncertainty due to the use of weather predictions. As first step the potential of MPC was assessed by means of a large-scale factorial simulation study that considered different types of buildings and HVAC systems at four representative European sites. Then for selected representative cases the control performance of SMPC, the impact of the accuracy of weather predictions, as well as the tunability of SMPC were investigated. The findings suggest that SMPC outperforms current control practice.
doi_str_mv 10.1016/j.enbuild.2011.09.022
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source Elsevier:Jisc Collections:Elsevier Read and Publish Agreement 2022-2024:Freedom Collection (Reading list)
subjects Applied sciences
Building climate control
Building technical equipments
Buildings
Buildings. Public works
Chance-constrained control
Climate
Climatology
Climatology and bioclimatics for buildings
Comfort
Computation methods. Tables. Charts
Energy efficiency
Environmental engineering
Exact sciences and technology
Lighting
Luminance
Mathematical models
Predictive control
Space heating
Stochastic model predictive control
Structural analysis. Stresses
Weather
title Use of model predictive control and weather forecasts for energy efficient building climate control
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