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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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Practical implementation and evaluation of model predictive control for an office building in Brussels

TL;DR: In this paper, a model predictive control (MPC) has been implemented in a medium-sized office building in Brussels, Belgium and the measured performance in comparison with the default, rule-based control (RBC).
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A new model predictive control scheme for energy and cost savings in commercial buildings: An airport terminal building case study

TL;DR: In this article, a hybrid model predictive control (HMPC) scheme was proposed to minimize the energy and cost of running HVAC systems in commercial buildings, which combines a classical MPC with a neural network feedback linearization method.
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Model predictive control of radiant slab systems with evaporative cooling sources

TL;DR: In this article, a simplified dynamic model of a radiant slab system for implementation in real-time model predictive controller (MPC) is presented, and the MPC is compared with the existing rule-based control method for a cooling season in a dry and hot climate.
Journal ArticleDOI

Review on model predictive control: an engineering perspective

TL;DR: This article reviews the current state of the art of model-based predictive control including theory, historic evolution, and practical considerations to create intuitive understanding and lays special attention on applications in order to demonstrate what is already possible today.
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Automatic HVAC control with real-time occupancy recognition and simulation-guided model predictive control in low-cost embedded system

TL;DR: This work designed and implemented an occupancy-predictive HVAC control system in a low-cost yet powerful embedded system (using Raspberry Pi 3) to demonstrate the following key features for building automation: real-time occupancy recognition using video-processing and machine-learning techniques, dynamic analysis and prediction of occupancy patterns, and model predictive control for HVac operations guided by real- time building thermal response simulations.
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.