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Optimal set-point regulation in HVAC system for controllability and energy efficiency

Optimal set-point regulation in HVAC system for controllability and energy efficiency The energy management of heating, ventilating, and air-conditioning (HVAC) system is a primary concern in building projects. Although they allow us to identify opportunities for effective energy use, their⁠ cost can sometimes exceed the energy saved. On the contrary, controller tuning by e.g. set-point regulation, often provides solutions that incur relatively low or no extra cost. In this paper, a simulation-based optimization approach is proposed for the optimal set-point regulation of HVAC system. For this purpose, we developed dynamic models for the target HVAC system that can simulate system behaviour at intervals of one minute. The set-point values were optimized while assessing controllability. The optimization of set-points that considered only energy efficiency led to various faults and therefore, was not applicable. However, optimal set-points obtained by considering controllability can help avoid significant faults. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Advances in Building Energy Research Taylor & Francis

Optimal set-point regulation in HVAC system for controllability and energy efficiency

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Optimal set-point regulation in HVAC system for controllability and energy efficiency

Abstract

The energy management of heating, ventilating, and air-conditioning (HVAC) system is a primary concern in building projects. Although they allow us to identify opportunities for effective energy use, their⁠ cost can sometimes exceed the energy saved. On the contrary, controller tuning by e.g. set-point regulation, often provides solutions that incur relatively low or no extra cost. In this paper, a simulation-based optimization approach is proposed for the optimal set-point regulation...
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Publisher
Taylor & Francis
Copyright
© 2019 Informa UK Limited, trading as Taylor & Francis Group
ISSN
1756-2201
eISSN
1751-2549
DOI
10.1080/17512549.2019.1578263
Publisher site
See Article on Publisher Site

Abstract

The energy management of heating, ventilating, and air-conditioning (HVAC) system is a primary concern in building projects. Although they allow us to identify opportunities for effective energy use, their⁠ cost can sometimes exceed the energy saved. On the contrary, controller tuning by e.g. set-point regulation, often provides solutions that incur relatively low or no extra cost. In this paper, a simulation-based optimization approach is proposed for the optimal set-point regulation of HVAC system. For this purpose, we developed dynamic models for the target HVAC system that can simulate system behaviour at intervals of one minute. The set-point values were optimized while assessing controllability. The optimization of set-points that considered only energy efficiency led to various faults and therefore, was not applicable. However, optimal set-points obtained by considering controllability can help avoid significant faults.

Journal

Advances in Building Energy Research – Taylor & Francis

Published: Apr 2, 2020

Keywords: HVAC system; set-point regulation; energy efficiency; controllability

References

  • Controllability of buildings: A multi-input multi-output stability assessment method for buildings with slow acting heating systems
  • Modeling and simulation controlling system of HVAC using fuzzy and predictive (radial basis function, RBF) controllers
  • HVAC system optimization for energy management by evolutionary programming
  • System optimization for HVAC energy management using the robust evolutionary algorithm
  • Performance optimization of HVAC systems with computational intelligence algorithms
  • Optimization for ice-storage air-conditioning system using particle swarm algorithm
  • Modelling thermal processes in buildings using an object-oriented approach and Modelica
  • Model-based optimal control of VAV air-conditioning system using genetic algorithm