Model-based multi-objective optimal control of a VRF (variable refrigerant flow) combined system with DOAS (dedicated outdoor air system) using genetic algorithm under heating conditions

Wonuk Kim, Seung Won Jeon, Yong Chan Kim

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

A VRF (variable refrigerant flow) combined system adopting a DOAS (dedicated outdoor air system) has been proposed to reduce the total energy consumption while satisfying IAQ (indoor air quality) and THC (thermal and humidity comfort) with minimum outdoor air. The objective of this study is to develop a model-based multi-objective optimal control strategy for the VRF combined system with multi-zone in order to optimize the multi-objective functions of the THC, IAQ, and total energy consumption. The performance of the VRF combined system was evaluated using the EnergyPlus model. The VRF combined system was optimized by GA (genetic algorithm) and RSM (response surface methodology) with the multi-objective functions of the THC, IAQ, and total energy consumption. The proposed multi-objective optimal control strategies (A and B) were compared with the TS (time schedule) strategy and the DCVH (demand controlled ventilation with humidifying). Optimal control strategy B reduced the total energy consumption by 20.4% and increased the ratio of the hours satisfying the extended comfort zone by 19.1% compared to the DCVH strategy.

Original languageEnglish
Pages (from-to)196-204
Number of pages9
JournalEnergy
Volume107
DOIs
Publication statusPublished - 2016 Jul 15

Keywords

  • Dedicated outdoor air system
  • Model-based control
  • Multi-objective optimization
  • Multi-zone ventilation
  • Variable refrigerant flow

ASJC Scopus subject areas

  • Energy(all)
  • Pollution

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