Education, Science, Technology, Innovation and Life
Open Access
Sign In
  1. Home
  2. Journals
  3. Journal of Electrotechnology, Electrical Engineering and Management
  4. Vol 6, Issue 2, 2023

Research and Application of Remote Intelligent Monitoring System for Air Energy Heat Pump Hot Water Unit

Download as PDF

DOI: 10.23977/jeeem.2023.060208 | Downloads: 5 | Views: 311

Author(s)

Yan Yang 1, Wenxian Lei 1, Hao Fu 1, Zhen Kang 1

Affiliation(s)

1 Changqing Engineering Design Company Limited, Xi'an, Shaanxi, China

Corresponding Author

Yan Yang

ABSTRACT

Air energy heat pump hot water technology is one of the most promising new energy technologies. According to the principle of reverse circulation, a small amount of electric energy is used to drive and refrigerant is used as carrier to transport energy from low heat source air to hot water. Production of high-quality domestic hot water and heating hot water. This paper deeply studies the data communication mode and control technology of air energy heat pump hot water unit, and analyzes the influence of water temperature setting and defrosting control method on the heating performance of air energy heat pump hot water unit. The results show that the closer the water temperature setting is to the actual water temperature demand, the higher the heating performance of the unit, the better the energy saving effect, the more accurate the determination of the frosting condition of the evaporator, the smaller the thawing loss and the higher the energy efficiency.

KEYWORDS

Air Energy, Heat Pump, Hot Water Heater, Remote Intelligent Monitoring

CITE THIS PAPER

Yan Yang, Wenxian Lei, Hao Fu, Zhen Kang, Research and Application of Remote Intelligent Monitoring System for Air Energy Heat Pump Hot Water Unit. Journal of Electrotechnology, Electrical Engineering and Management (2023) Vol. 6: 55-63. DOI: http://dx.doi.org/10.23977/jeeem.2023.060208.

REFERENCES

[1] Sim J, Lee H, Ji H J. (2021) Optimal design of variable-path heat exchanger for energy efficiency improvement of air-source heat pump system. Applied Energy, 290(4):116741.
[2] Cinar S, Michal Krajík, Arici M. (2019) Performance Evaluation of a Building Integrated Photovoltaic / Thermal System Combined with Air-to-Water Heat Pump. Applied Mechanics and Materials, 887(10):181-188.
[3] Wang W, Li Y. (2019) Intermediate pressure optimization for two-stage air-source heat pump with flash tank cycle vapor injection via extremum seeking. Applied Energy, 238(MAR.15):612-626.
[4] Liu M, Jiang L, Zhang H. (2019) An exploration on the applicability of heating tower heat pump and air source heat pump Systems in different climatic regions. Journal of Cleaner Production, 238(Nov.20):117889.1-117889.11.
[5] Wang X, Xia L, Bales C. (2020) A systematic review of recent air source heat pump (ASHP) systems assisted by solar thermal, photovoltaic and photovoltaic/thermal sources. Renewable energy, 146(2):2472-2487.
[6] Eom Y H, Yoo J W, Hong S B. (2019) Refrigerant charge fault detection method of air source heat pump system using convolutional neural network for energy saving. Energy, 187(Nov.15):115877.1-115877.13.
[7] Hu B A, Wang R, Xiao B B. (2019) Performance evaluation of different heating terminals used in air source heat pump system. International Journal of Refrigeration, 98(10):274-282.
[8] Tangwe S, Kusakana K. (2021) Evaluation of the coefficient of performance of an air source heat pump unit water heater and an air to water heat pump. Journal of Energy in Southern Africa, Volume 32(Number 1):52-65.
[9] Hong W, Hao J, Wang J. (2019) Performance analysis of combined cooling heating and power (CCHP) exhaust waste heat coupled air source heat pump system. Building Simulation, 12(004):563-571.
[10] Tangwe, S, & Kusakana, K. (2020) A Novel Improvement of the Performance Coefficient of a Residential Air Source Heat Pump Water Heater. International Journal of Simulation: Systems, Science & Technology, 21(5):27.1-27.10.
[11] Qin Linlin, Lu Linjian, Shi Chun, et al. (2015) Design of greenhouse intelligent monitoring system based on Internet of Things. Journal of Agricultural Machinery, 46(003):261-267.
[12] Shi Bing, Zhao De 'an, Liu Xingqiao, et al. (2011) Intelligent monitoring system for large-scale aquaculture based on wireless sensor network. Journal of Agricultural Engineering, 27(009):136-140.
[13] Yang, M., Jiao, L., Liu, F., Hou, B., & Yang, S. (2019). Transferred deep learning-based change detection in remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 57(9), 6960-6973.
[14] Dong, R., Xu, D., Zhao, J., Jiao, L., & An, J. (2019). Sig-NMS-based faster R-CNN combining transfer learning for small target detection in VHR optical remote sensing imagery. IEEE Transactions on Geoscience and Remote Sensing, 57(11), 8534-8545.
[15] Liu, Y., Pang, C., Zhan, Z., Zhang, X., & Yang, X. (2020). Building change detection for remote sensing images using a dual-task constrained deep siamese convolutional network model. IEEE Geoscience and Remote Sensing Letters, 18(5), 811-815.

Subscription
E-Mail Alert
Most popular papers
Call for Special Issue
Publication Ethics & OA Statement
Plagiarism Policy
Contact Us
Downloads: 2032
Visits: 96457

Sponsors, Associates, and Links

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.