Thermal Comfort Based Predictive Controllers for Building Heating Systems

نویسندگان

  • Roberto Z. Freire
  • Gustavo H. C. Oliveira
  • Nathan Mendes
چکیده

This work is focused on indoor thermal comfort control problem in buildings equipped with HVAC (Heating Ventilation and Air Conditioning) systems. The occupants thermal comfort is addressed here by a comfort zone in the psychrometric chart and the PMV (Predict Mean Vote) index. In this context, three control algorithms are proposed by using only-one-actuator system associated to a heating equipment. The methods are based on the model predictive control scheme and on the improvement of indices related to occupants thermal comfort sensation. Simulation results obtained by using the weather data file for the city of Curitiba, Brazil are presented to validate the proposed methodology in terms of room air temperature, relative humidity and PMV control. Copyright c ©2005 IFAC

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Tractable Predictive Control Strategies for Heating Systems in Buildings

Model Predictive control is an advanced control technique that has been used to optimize thermal comfort in buildings. Nowadays, the new buildings are characterized by an important inertia as well as low power heating systems. Since the thermal losses are very low, taking into account the intermittent occupancies in the control strategy is questionable. More precisely, in this paper, two model ...

متن کامل

Predictive Controllers for Thermal Comfort Optimization and Energy Savings

The present work is focused on the control of indoor thermal comfort in buildings equipped with HVAC (Heating, Ventilation and Air Conditioning) systems. The occupants’ thermal comfort sensation is addressed here by the well-known comfort index (PMV Predicted Mean Vote). In this context, different strategies for the control algorithms are proposed by using only-one-actuator system that can be a...

متن کامل

NEUROBAT – a self - commissioned heating control system

A predictive and adaptive heating controller, using artificial neural networks to allow the adaptation of the control model to the real conditions (climate, building characteristics, user's behaviour) is described. The choice of a predictive control strategy, combined with the nonlinear modelling of the building, the user's behaviour and the weather prediction, allows the NEUROBAT controller to...

متن کامل

Neural Network based HVAC Predictive Control

This paper addresses the problem of controlling Heating Ventilation and Air Conditioning (HVAC) systems with the purpose of maintaining a desired thermal comfort level, whilst minimizing the electrical energy required. Using a pilot installation, in the University of Algarve, Portugal, a Model Based Predictive Control (MBPC) strategy is used to control the HVAC equipment. The thermal comfort is...

متن کامل

Heating control schemes for energy management in buildings

because of both the global energy crisis and the necessary improvement of energy efficiency in buildings, one of the largest sectors of energy consumption and greenhouse gases emissions, a strategy allowing managing energy resources is proposed. Its aim is reducing energy consumption and promoting the use of renewable energy, while ensuring thermal comfort, when heating "multi-energy" buildings...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005