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Open AccessJournal ArticleDOI

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

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In this paper, the authors investigated how ModelPredictive control and weatherpredictions can increase the energy efficiency in Integrated Room Automation (IRA) while respecting occupant comfort.
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This article is published in Energy and Buildings.The article was published on 2012-02-01 and is currently open access. It has received 1070 citations till now. The article focuses on the topics: Model predictive control & HVAC.

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Citations
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Journal ArticleDOI

Active learning strategy for high fidelity short-term data-driven building energy forecasting

TL;DR: It is demonstrated that the data bias problem typically exists in building operation data is resolved by applying the developed active learning strategy and the effectiveness of the block design module is validated to effectively consider the impact of weather conditions on active learning design.
BookDOI

Integration of AI and OR Techniques in Constraint Programming

TL;DR: This work proposes a technique to strengthen a relaxed decision diagram of a problem by incorporating inference from constraints via a Lagrangian relaxation method, and associates penalties with the constraints that may be potentially violated by the solutions encoded in a relaxable decision diagram.
Journal ArticleDOI

Heating, Ventilation, and Air Conditioning System Optimization Control Strategy Involving Fan Coil Unit Temperature Control

TL;DR: In this paper, the authors developed a heating, ventilation, and air conditioning (HVAC) system optimization control strategy involving fan coil unit (FCU) temperature control for energy conservation in chilled water systems to enhance the operating efficiency of HVAC systems.
Journal ArticleDOI

Hybrid ventilation in an institutional building: Modeling and predictive control

TL;DR: A hybrid ventilation system of an institutional building with emphasis on thermal comfort can improve thermal comfort and at the same time reduce energy consumption and peak power demand and a predictive control strategy provides thermal comfort, but also energy savings potential of the same magnitude as the reactive.
Proceedings ArticleDOI

Comparison of MPC strategies for building control

TL;DR: In this paper, the authors proposed three different MPC strategies for controlling temperatures in buildings, including tracking of setpoint temperatures, tracking of a comfort zone, and minimization of number of violations of such a zone.
References
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Book

Predictive Control With Constraints

TL;DR: A standard formulation of Predictive Control is presented, with examples of step response and transfer function formulations, and a case study of robust predictive control in the context of MATLAB.
Journal ArticleDOI

Model predictive control: theory and practice—a survey

TL;DR: The flexible constraint handling capabilities of MPC are shown to be a significant advantage in the context of the overall operating objectives of the process industries and the 1-, 2-, and ∞-norm formulations of the performance objective are discussed.
Journal Article

Optimal Filtering

TL;DR: This book helps to fill the void in the market and does that in a superb manner by covering the standard topics such as Kalman filtering, innovations processes, smoothing, and adaptive and nonlinear estimation.
Book

Stochastic programming

Journal ArticleDOI

Meso-gamma scale forecasts using the nonhydrostatic model LM

TL;DR: It is concluded, that orographic filtering is necessary and the effect of such filtering on precipitation forecasts is investigated, and examples of model predictions at the meso-γ scale are given.
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Q1. What have the authors contributed in "Use of model predictive control and weather forecasts for energy efficient building climate control" ?

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. 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 hance-constrained control 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. The findings suggest that SMPC outperforms current control practice.