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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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Benchmarking stochastic and deterministic MPC: A case study in stationary battery systems

TL;DR: A computational framework that integrates forecasting, uncertainty quantification, and model predictive control (MPC) to benchmark the performance of deterministic and stochastic MPC and provides a more systematic framework to handle issues by directly capturing uncertainty descriptions of a wide range of disturbances.
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Testing and demonstration of model predictive control applied to a radiant slab cooling system in a building test facility

TL;DR: This study verified the correct operation of an open source MPC toolchain developed for radiant slab systems and demonstrated its efficacy in a test facility and showed that the simplified MPC approach applied in the toolchain worked as expected and realized energy savings over the conventional control strategy.
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Indoor air quality and energy management in buildings using combined moving horizon estimation and model predictive control

TL;DR: In this article, a physics-based building model that predicts concentrations of indoor pollutants (ozone, formaldehyde, and particulate matter) as a function of time-varying outdoor concentrations and instantaneous indoor emissions is presented.
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Modeling and identification of the cooling dynamics of a tropical island hotel

TL;DR: In this paper, the authors presented two modeling approaches of the return water temperature of a central chiller plant based on data of the real operation of a building, weather disturbances, and the temperature of reference thermal zone.
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Predicting the energy demand of buildings during triad peaks in GB

TL;DR: In this article, a model-based approach is described to forecast triad periods for commercial buildings, using a multi-staged analysis that takes a number of different data sources into account, with each stage adding more accuracy to the model.
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

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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.