A New Variable Refrigerant Flow System Simulation Approach in EnergyPlus

被引：9

作者：

Lin, Xiaojie ^{[1
]}

Lee, Hoseong ^{[1
]}

Hwang, Yunho ^{[1
]}

Radermacher, Reinhard ^{[1
]}

Kim, Byungsoon ^{[2
]}

机构：

[1] Univ Maryland, Ctr Environm Energy Engn, 3157 Glenn L Martin Hall Bldg, College Pk, MD 20742 USA

[2] LG Elect, Syst Air Conditioning Lab, 327-23 Gasan Dong, Seoul 153802, South Korea

来源：

INTERNATIONAL JOURNAL OF AIR-CONDITIONING AND REFRIGERATION | 2016年 / 24卷 / 01期

关键词：

Energy plus; variable refrigerant flow; VRF;

D O I：

10.1142/S2010132516500012

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

A variable refrigerant flow (VRF) system is widely applied to build air conditioning systems. Literature review of previous VRF modeling studies was conducted, and it was found that the current calculation approach in EnergyPlus can result in more than 20% deviation in both heat transfer capacity and power consumption. Therefore, a new VRF model is proposed in this study, which includes an improved thermal zone distribution concept, new indoor unit types, and a new thermodynamic model. The developed model is validated with experimental data within 10% in heat transfer capacity and 5% in power consumption. Based on the proposed model, the operation control strategy is also discussed. The results show that the proposed model could also simulate the current control strategy in the VRF system.

引用

页数：15

共 50 条

[11] Automatic operation method using wireless sensor networks for variable refrigerant flow system: Switchless control variable refrigerant flow system
Suzuki, Toshihiro
Shimoda, Yoshiyuki
Kobayashi, Akito
Shiochi, Sumio
ENERGY AND BUILDINGS, 2025, 331
[12] Modelling variable refrigerant flow system for control purpose
Wang, Dan
Li, Mingchen
Guo, Mingyue
Shi, Qiaobo
Zheng, Chunyuan
Li, Dongdong
Li, Siqi
Wang, Zhe
ENERGY AND BUILDINGS, 2023, 292
[13] Energy simulation in the variable refrigerant flow air-conditioning system under cooling conditions
Zhou, Y. P.
Wu, J. Y.
Wang, R. Z.
Shiochi, S.
ENERGY AND BUILDINGS, 2007, 39 (02) : 212 - 220
[14] A hybrid deep forest approach for outlier detection and fault diagnosis of variable refrigerant flow system
Zeng, Yuke
Chen, Huanxin
Xu, Chengliang
Cheng, Yahao
Gong, Qijian
INTERNATIONAL JOURNAL OF REFRIGERATION, 2020, 120 : 104 - 118
[15] A hybrid deep forest approach for outlier detection and fault diagnosis of variable refrigerant flow system
Zeng, Yuke
Chen, Huanxin
Xu, Chengliang
Cheng, Yahao
Gong, Qijian
International Journal of Refrigeration, 2020, 120 : 104 - 118
[16] Variable refrigerant flow technology
Hwang, Yunho
SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT, 2015, 21 (07) : 903 - 903
[17] Variable refrigerant flow systems
Navigant Consulting, Burlington, MA, United States
ASHRAE J, 4 (24-26+28-29+31):
[18] Variable refrigerant flow systems
Goetzler, William
ASHRAE JOURNAL, 2007, 49 (04) : 24 - +
[19] Simulation and optimization of multi-split variable refrigerant flow systems
Alahmer, Ali
Alsaqoor, Sameh
AIN SHAMS ENGINEERING JOURNAL, 2018, 9 (04) : 1705 - 1715
[20] Field test and simulation evaluation of variable refrigerant flow systems performance
Lee, Je Hyeon
Im, Piljae
Song, Young-hak
ENERGY AND BUILDINGS, 2018, 158 : 1161 - 1169

← 1 2 3 4 5 →