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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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Model predictive control strategies for buildings with mixed-mode cooling

TL;DR: In this paper, the authors present model predictive control (MPC) strategies for buildings with mixed-mode cooling (window opening position, fan assist, and night cooling schedule) and demonstrate their potential performance bounds in terms of energy savings within thermal comfort constraints, in comparison with standard heuristic rules used in current practice.
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Model-based predictive control of an ice storage device in a building cooling system

TL;DR: In this article, a model-based predictive control (MPC) algorithm for the cooling plant of a building under a time-dependent electricity price profile is proposed, based on a simplified linear thermal model, along with weather and internal gains forecasts.
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Experimental analysis of data-driven control for a building heating system

TL;DR: In this article, a data-driven control approach for building climate control is presented based on reinforcement learning, where the underlying sequential decision making problem is cast into a Markov decision problem, after which the control algorithm is detailed.
Journal ArticleDOI

Getting to net zero energy building: Investigating the role of vehicle to home technology

TL;DR: In this article, the role of V2H technology in satisfying the energy requirements for a net zero energy building was investigated, and the results indicated that, with the help of this system, it is possible to not only lower the monetary value of the required grid electricity for such a building to zero in certain months of the year but also to earn money to compensate for the installation costs of solar panels and other technologies necessary for a Net Zero Energy building, while grid electricity consumption for the rest of year can still be effectively reduced by up to 68% compared to that of a conventional
Journal ArticleDOI

Economic MPC and real-time decision making with application to large-scale HVAC energy systems

TL;DR: A hierarchical decomposition for economic MPC in large-scale commercial HVAC systems using a two-layer approach is presented and an application of the ideas presented is discussed in the recently completed $485-million replacement of the Stanford campus heating and cooling systems.
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.