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分时电价下供热管网储能优化与实证分析

Translated title of the contribution: Optimization and empirical analysis of energy storage in heating networks under time-of-use electricity-price
  • Hao Zhan
  • , Hao Yu
  • , Mengqi Leng
  • , Jiashuo Zhou
  • , Yunfang Qi
  • , Ronghua Wu*
  • *Corresponding author for this work
  • Harbin Institute of Technology Weihai
  • Ltd.

Research output: Contribution to journalArticlepeer-review

Abstract

Heating systems based on the clean energy heat pump achieve energy conversion through electrical power. The economic efficiency of the system can be drastically improved by leveraging time-of-use electricity pricing policies and utilizing the heating pipe network as a thermal storage medium for peak-valley load shifting. Addressing the conflict arising from peak-valley electricity pricing for clean energy heating systems in northern regions, this study proposes an energy storage solution based on existing heating pipe networks to construct a "source-storage-load" coordinated direct pipe network storage system. Taking the Qingdao High-tech Zone project (a heating area of 227,400 m2 and a pipe network water capacity of 2000 tons) as an engineering case study, a multi-source parallel architecture was adopted. Three key technologies were implemented: ① integrating the primary pipe network and heat exchangers into distributed thermal storage units, ② developing a "quality-quantity dual regulation" control algorithm, and ③ establishing a SCADA real-time monitoring and cloud-based control platform.Operational data indicate that the system can achieve a rise of 8.25 ℃ in the primary network temperature during off-peak electricity periods. Although measured data indicate that R134a units can reach temperatures of up to 75 ℃, long-term operation under these conditions is not recommended. This rise allows for a complete shutdown for 10 h during the peak and flat electricity-price periods, while maintaining secondary network temperature fluctuations within 0.8 ℃ . An economic assessment revealed that through the time-of-use pricing strategy (peak price: 1.25 RMB/kWh; deep valley price: 0.28 RMB/kWh), the project could achieve an annual revenue of 1.161 million RMB, with a dynamic payback period of 1.75 years. The study also confirmed that in this project, the investment cost per unit building area is only 8.3 RMB.This technology provides a flexible control solution for regional integrated energy systems. This solution is both economical and reliable, holding significant value for achieving the "dual carbon" goals.

Translated title of the contributionOptimization and empirical analysis of energy storage in heating networks under time-of-use electricity-price
Original languageChinese (Traditional)
Pages (from-to)2689-2697
Number of pages9
JournalEnergy Storage Science and Technology
Volume14
Issue number7
DOIs
StatePublished - 28 Jul 2025
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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