Author
Jiří Cigler
Bio: Jiří Cigler is an academic researcher from Czech Technical University in Prague. The author has contributed to research in topics: Model predictive control & Energy consumption. The author has an hindex of 11, co-authored 17 publications receiving 1638 citations.
Papers
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TL;DR: In this article, the authors focus on the analysis of energy savings that can be achieved in a building heating system by applying model predictive control (MPC) and using weather predictions.
689 citations
TL;DR: In this article, a model predictive controller (MPC) is applied to the temperature control of real building, which uses both weather forecast and thermal model of a building to inside temperature control.
382 citations
TL;DR: In this paper, the authors provide an overview of identification methods for buildings and analyze their applicability for subsequent predictive control, and propose a new methodology to obtain a model suitable for the use in a predictive control framework combining the building energy performance simulation tools and statistical identification.
306 citations
TL;DR: In this article, the optimization of the Predicted Mean Vote (PMV) index which, opposed to the static temperature range, describes user comfort directly has been studied and compared with a conventional and predictive control strategies.
103 citations
TL;DR: In this paper, the authors present an approach in which a model of a building is selected by an iterative two-stage procedure, where a minimum set of disturbance inputs is formed so that the resulting model is the best with respect to a defined quality criterion.
94 citations
Cited by
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11 Dec 2012
1,704 citations
TL;DR: 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.
1,070 citations
TL;DR: In this article, the authors review thermal comfort research work and discuss the implications for building energy efficiency, and propose to increase the summer set point temperature in order to save energy in buildings.
992 citations
TL;DR: In this paper, the authors present a literature review of model predictive control (MPC) for HVAC systems, with an emphasis on the theory and applications of MPC for heating, ventilation and air conditioning (HVAC) systems.
899 citations
TL;DR: In this article, the authors present a comprehensive and significant research conducted on state-of-the-art intelligent control systems for energy and comfort management in smart energy buildings (SEB's).
Abstract: Buildings all around the world consume a significant amount of energy, which is more or less one-third of the total primary energy resources. This has raised concerns over energy supplies, rapid energy resource depletion, rising building service demands, improved comfort life styles along with the increased time spent in buildings; consequently, this has shown a rising energy demand in the near future. However, contemporary buildings’ energy efficiency has been fast tracked solution to cope/limit the rising energy demand of this sector. Building energy efficiency has turned out to be a multi-faceted problem, when provided with the limitation for the satisfaction of the indoor comfort index. However, the comfort level for occupants and their behavior have a significant effect on the energy consumption pattern. It is generally perceived that energy unaware activities can also add one-third to the building’s energy performance. Researchers and investigators have been working with this issue for over a decade; yet it remains a challenge. This review paper presents a comprehensive and significant research conducted on state-of-the-art intelligent control systems for energy and comfort management in smart energy buildings (SEB’s). It also aims at providing a building research community for better understanding and up-to-date knowledge for energy and comfort related trends and future directions. The main table summarizes 121 works closely related to the mentioned issue. Key areas focused on include comfort parameters, control systems, intelligent computational methods, simulation tools, occupants’ behavior and preferences, building types, supply source considerations and countries research interest in this sector. Trends for future developments and existing research in this area have been broadly studied and depicted in a graphical layout. In addition, prospective future advancements and gaps have also been discussed comprehensively.
689 citations