EconPapers    
Economics at your fingertips  
 

Empirical Study on Cost–Benefit Evaluation of New Energy Storage in Typical Grid-Side Business Models: A Case Study of Hebei Province

Guang Tian, Penghui Liu, Yang Yang, Bin Che, Yuanying Chi () and Junqi Wang
Additional contact information
Guang Tian: State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050000, China
Penghui Liu: State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050000, China
Yang Yang: State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050000, China
Bin Che: State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050000, China
Yuanying Chi: School of Economics and Management, Beijing University of Technology, Beijing 100124, China
Junqi Wang: School of Economics and Management, Beijing University of Technology, Beijing 100124, China

Energies, 2025, vol. 18, issue 8, 1-21

Abstract: Energy storage technology is a critical component in supporting the construction of new power systems and promoting the low-carbon transformation of the energy system. Currently, new energy storage in China is in a pivotal transition phase from research and demonstration to the initial stage of commercialization. However, it still faces numerous challenges, including incomplete business models, inadequate institutional policies, and unclear cost and revenue recovery mechanisms, particularly on the generation and grid sides. Therefore, this paper focuses on grid-side new energy storage technologies, selecting typical operational scenarios to analyze and compare their business models. Based on the lifecycle assessment method and techno-economic theories, the costs and benefits of various new energy storage technologies are compared and analyzed. This study aims to provide rational suggestions and incentive policies to enhance the technological maturity and economic feasibility of grid-side energy storage, improve cost recovery mechanisms, and promote the sustainable development of power grids. The results indicate that grid-side energy storage business models are becoming increasingly diversified, with typical models including shared leasing, spot market arbitrage, capacity price compensation, unilateral dispatch, and bilateral trading. From the perspectives of economic efficiency and technological maturity, lithium-ion batteries exhibit significant advantages in enhancing renewable energy consumption due to their low initial investment, high returns, and fast response. Compressed air and vanadium redox flow batteries excel in long-duration storage and cycle life. While molten salt and hydrogen storage face higher financial risks, they show prominent potential in cross-seasonal storage and low-carbon transformation. The sensitivity analysis indicates that the peak–valley electricity price differential and the unit investment cost of installed capacity are the key variables influencing the economic viability of grid-side energy storage. The charge–discharge efficiency and storage lifespan affect long-term returns, while technological advancements and market optimization are expected to further enhance the economic performance of energy storage systems, promoting their commercial application in electricity markets.

Keywords: grid-side independent energy storage; new energy storage business models; cost–benefit evaluation methods; sustainable development (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/8/2082/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/8/2082/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:8:p:2082-:d:1637089

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-04-18
Handle: RePEc:gam:jeners:v:18:y:2025:i:8:p:2082-:d:1637089