Development of a control algorithm aiming at cost-effective operation of a VRF heating system

Jin Woo Moon, Young Kwon Yang, Eun Ji Choi, Young Jae Choi, Kwang Ho Lee, Yong Shik Kim, Bo Rang Park

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This study aims to develop a control algorithm that can operate an intermittently working variable refrigerant flow (VRF) heating system in a cost-effective manner. An artificial neural network (ANN) model, which is designed to predict the heating energy cost during the next control cycle, is embedded in the control algorithm. By comparing the predicted energy costs for the different setpoint combinations for the system parameters, such as the air handling unit (AHU) supply air temperature, condensing warm fluid temperature, condensing warm fluid amount, and refrigerant condensing temperature, the control algorithm can determine the most cost-effective setpoints to optimally operate the heating system. Two major processes are conducted—development of the predictive control algorithm in which the ANN model is embedded, and performance tests in terms of prediction accuracy and cost efficiency using computer simulation. Results analysis reveals that the ANN model accurately predicts the energy cost, presenting a low coefficient of variation of the root mean square error value (7.42%) between the simulated and predicted results. In addition, the predictive control algorithm significantly saves on the heating energy cost by as much as 7.93% compared with the conventional heuristic control method. From the results analysis, the ANN model and the control algorithm show the potential for prediction accuracy and cost-effectiveness of the intermittently working VRF heating system.

Original languageEnglish
Pages (from-to)1522-1531
Number of pages10
JournalApplied Thermal Engineering
DOIs
Publication statusPublished - 2019 Feb 25
Externally publishedYes

Fingerprint

Flow of fluids
Heating
Costs
Neural networks
Fluids
Refrigerants
Cost effectiveness
Air
Mean square error
Temperature
Computer simulation

Keywords

  • Artificial neural network
  • Energy cost
  • Predictive controls
  • Variable refrigerant flow heating system

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering

Cite this

Development of a control algorithm aiming at cost-effective operation of a VRF heating system. / Moon, Jin Woo; Yang, Young Kwon; Choi, Eun Ji; Choi, Young Jae; Lee, Kwang Ho; Kim, Yong Shik; Park, Bo Rang.

In: Applied Thermal Engineering, 25.02.2019, p. 1522-1531.

Research output: Contribution to journalArticle

Moon, Jin Woo ; Yang, Young Kwon ; Choi, Eun Ji ; Choi, Young Jae ; Lee, Kwang Ho ; Kim, Yong Shik ; Park, Bo Rang. / Development of a control algorithm aiming at cost-effective operation of a VRF heating system. In: Applied Thermal Engineering. 2019 ; pp. 1522-1531.
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