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A comparison of thermal comfort predictive control strategies

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TLDR
In this paper, a comparison among several predictive control approaches that allow to obtain a high thermal comfort level optimizing the use of an HVAC (Heating, Ventilation and Air Conditioning) system by means of different cost functions is presented.
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This article is published in Energy and Buildings.The article was published on 2011-10-01. It has received 122 citations till now. The article focuses on the topics: HVAC & Thermal comfort.

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Towards sustainable, energy-efficient and healthy ventilation strategies in buildings: A review

TL;DR: In this article, a review of the development of energy-efficient and healthy ventilation in buildings is presented, where the influence of occupants' behaviour on the energy use and the correlation between ventilation and the occupants' health and productivity are also considered.
Journal ArticleDOI

All you need to know about model predictive control for buildings

TL;DR: This paper provides a unified framework for model predictive building control technology with focus on the real-world applications and presents the essential components of a practical implementation of MPC such as different control architectures and nuances of communication infrastructures within supervisory control and data acquisition (SCADA) systems.
Journal ArticleDOI

Potential of structural thermal mass for demand-side management in dwellings

TL;DR: In this paper, the potential to improve the balance between the electricity use for heating and local electricity production of a nearly zero energy building (nZEB) by active use of structural thermal storage capacity of the building was evaluated.
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Optimization Under Uncertainty of Thermal Storage-Based Flexible Demand Response With Quantification of Residential Users’ Discomfort

TL;DR: A two-stage stochastic programming model for provision of flexible demand response (DR) based on thermal energy storage in the form of hot water storage and/or storage in building material and the utilization of the ETD metric to facilitate quantification of the expected total (energy and thermal discomfort) cost is demonstrated.
Journal ArticleDOI

Occupancy behavior based model predictive control for building indoor climate—A critical review

TL;DR: A comprehensive review of occupancy-based model predictive control (MPC) for building indoor climate control is presented in this paper, where the authors present a holistic overview of MPC for building heating, ventilation, and air conditioning (HVAC) systems, and discuss current status and future challenges.
References
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Journal ArticleDOI

A review on buildings energy consumption information

TL;DR: In this article, the authors analyzed available information concerning energy consumption in buildings, and particularly related to HVAC systems, and compared different types of building types and end uses in different countries.
Book

Model Predictive Control

TL;DR: In this article, the authors present a model predictive controller for a water heating system, which is based on the T Polynomial Process (TOP) model of the MPC.
Journal ArticleDOI

Adaptive thermal comfort and sustainable thermal standards for buildings

TL;DR: The origin and development of the adaptive approach to thermal comfort is explained, and recommendations made as to the best comfort temperature, the range of comfortable environments and the maximum rate of change of indoor temperature.
Book

Advanced PID Control

TL;DR: Advanced PID Control builds on the basics learned in PID Controllers but augments it through use of advanced control techniques, including auto-tuning, gain scheduling and adaptation.
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