Abstract

To reduce the energy consumption in buildings is necessary to analyze individual rooms and thermal zones, studying mathematical models and applying new control techniques. In this paper, the design, simulation and experimental evaluation of a sliding mode controller for regulating internal temperature in a thermal zone is presented. We propose an experiment with small physical dimensions, consisting of a closed wooden box with heat internal sources to stimulate temperature gradients through operating and shut down cycles.

Highlights

  • In recent decades, building modeling and energy consumption in thermal zones have become a growing field of study for engineers and researchers [1]

  • An appropriate mathematical model can capture the thermodynamical behavior of a closed room, allowing analyzing its characteristics and determining the most important factors in energy consumption

  • In the energetic analysis of buildings, it is important to rely on algorithms and methods to estimate the heat transfer parameters that contribute to thermal leaks

Read more

Summary

Introduction

In recent decades, building modeling and energy consumption in thermal zones have become a growing field of study for engineers and researchers [1]. Commercial programs such as TRNSYS and ENERGY PLUS allow representing an entire building and analyzing the effects of specific actions Another important tool is mathematical modeling, which permits deeper numerical analysis and contributes to the development of new strategies and controllers for temperature regulation. To minimize problems in the evaluation of new control strategies, some researchers have been using reduced scale models The latter allow the creation of sensed thermal zones with minimal resources and minimize the effect of environmental conditions. We show how to use the Sliding Control strategy for regulation of the temperature in a thermal zone This technique is normally used for commuted systems as power converters, but it is robust enough to be implemented in different applications [26,27,28,29,30].

Mathematical Model
Full Scale Model
Simplified Model
Experimental Setup
Adjusting the Models
Control Application
Conclusions
Findings
Objective function
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.