journal article·2024-06-12Open access

Identification of the Key Issues and Technical Paths for Intelligent Operation of Water Source Heat Pump Energy Stations Applying Digital Twin Technology

Jiaji Zhang, Qiankun Wang, Shuqiang Gui, Junli Zhou, Jinlong Sun

Applied Sciences· Volume 14· Issue 12

Abstract

To address the challenges posed by global climate change, developing green energy systems characterized by informatization, digitalization, and intelligence is crucial for achieving carbon neutrality. This article is a research report type paper on water source heat pump (WSHP) energy stations, aiming to use digital twin technology and other information technologies to resolve conflicts between clean energy development and efficient energy utilization. The primary objective of this study is to identify and analyze issues in traditional energy station operations and management systems. Based on this analysis, specific technical solutions are proposed, including pathways for technological research, methodologies, and content. The results provide a comprehensive theoretical framework for the intelligent transformation of energy station systems and essential technical support for the WSHP energy station project in the Hankou Binjiang International Business District. The findings have significant implications for the widespread adoption of WSHP energy stations and the achievement of national carbon neutrality goals.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Energy Efficiency and Management · Building Energy and Comfort Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya 572025, China

School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China

Birmingham Centre for Energy Storage & School of Chemical Engineering, University of Birmingham, Birmingham B152TT, UK

MCC Wukan Engineering Technology Co., Ltd., Wuhan 430080, China

School of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Funding

Wuhan Key R&D Plan · Major R&D projects of China Metallurgical group corporation · The PhD Scientific Research and Innovation Foundation of Sanya Yazhou Bay Science and Technology City · Major science and technology projects in Hainan Province

References (29)

Show source-provided references
1. Reddy, V.J., Hariram, N.P., Ghazali, M.F., and Kumarasamy, S. (2024). Pathway to Sustainability: An Overview of Renewable Energy Integration in Building Systems. Sustainability, 16.10.3390/su16020638 ↗
2. A comprehensive review of thermal potential and heat utilization for water source heat pump systems10.1016/j.enbuild.2022.112124 ↗
3. Ren, Z., Yang, S., Zhang, J., Wang, Q., Gui, S., Zhou, J., Tang, Y., Zhu, K., Shen, C., and Xiong, Z. (2024). Source Heat Pump Energy Station. Water, 16.10.3390/w16030470 ↗
4. A review on the current research and application of wastewater source heat pumps in China10.1016/j.tsep.2018.03.007 ↗
5. A review of advanced ground source heat pump control: Artificial intelligence for autonomous and adaptive control10.1016/j.rser.2021.111685 ↗
6. A comprehensive overview of framework for developing sustainable energy internet: From things-based energy network to services-based management system10.1016/j.rser.2021.111409 ↗
7. Building performance simulation in the brave new world of artificial intelligence and digital twins: A systematic review10.1016/j.enbuild.2023.113171 ↗
8. A digital twin-based big data virtual and real fusion learning reference framework supported by industrial internet towards smart manufacturing10.1016/j.jmsy.2020.11.012 ↗
9. A survey of Digital Twin techniques in smart manufacturing and management of energy applications10.1016/j.geits.2022.100014 ↗
10. A new energy consumption prediction method for chillers based on GraphSAGE by combining empirical knowledge and operating data10.1016/j.apenergy.2021.118410 ↗
11. A review of regional energy internet in smart city from the perspective of energy community10.1016/j.egyr.2021.11.286 ↗
12. An overview of “energy+ internet” in China10.1016/j.jclepro.2020.120630 ↗
13. Energy internet, digital economy, and green economic growth: Evidence from China10.1016/j.igd.2022.100011 ↗
14. Research on task scheduling and concurrent processing technology for energy internet operation platform10.1016/j.gloei.2022.12.001 ↗
15. A data-model fusion dispatch strategy for the building energy flexibility based on the digital twin10.1016/j.apenergy.2022.120496 ↗
16. A hybrid short-term load forecasting model and its application in ground source heat pump with cooling storage system10.1016/j.renene.2020.07.142 ↗
17. A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings10.1016/j.rser.2021.111530 ↗
18. Methods and Applications for Artificial Intelligence, Big Data, Internet-of-Things, and Blockchain in Smart Energy Management10.1016/j.egyai.2022.100208 ↗
19. A review of reinforcement learning for autonomous building energy management10.1016/j.compeleceng.2019.07.019 ↗
20. A knowledge-guided and data-driven method for building HVAC systems fault diagnosis10.1016/j.buildenv.2021.107850 ↗
21. A systematic review of digital twin about physical entities, virtual models, twin data, and applications10.1016/j.aei.2023.101876 ↗
22. BIM and IoT data fusion: The data process model perspective10.1016/j.autcon.2023.104792 ↗
23. A consistency evaluation method for digital twin models10.1016/j.jmsy.2022.09.006 ↗
24. Digital twin modeling10.1016/j.jmsy.2022.06.015 ↗
25. The digital shadow: Developing a universal model for the automated optimization of cyber-physical production systems based on real-time data10.1016/j.procir.2020.03.069 ↗
26. A comprehensive overview of knowledge graph completion10.1016/j.knosys.2022.109597 ↗
27. An advanced framework for improving situational awareness in electric power grid operation10.3182/20110828-6-IT-1002.03381 ↗
28. A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis10.1016/j.jobe.2020.101692 ↗
29. Energy digital twin technology for industrial energy management:Classification, challenges and future10.1016/j.rser.2022.112407 ↗