How to improve the competiveness of distributed energy resources in China with blockchain technology

Jianchao Hou, Che Wang and Sai Luo

Technological Forecasting and Social Change, 2020, vol. 151, issue C

Abstract: Distributed energy resources are located near users, which can realize energy cascade utilization and improve the energy utilization efficiency. The features of distributed ledgers and smart contract auto-execution possessed by blockchain technology are in line with the requirements of distributed energy resources in billing and settlement, which provides a direction for the application of blockchain technology in the distributed energy resources. The integration of distributed energy resources in China with blockchain technology may break the existing pattern where the production, transportation, distribution and sales of energy are centralized. This paper first summarizes the current status of distributed energy resources in China and blockchain technology, and then uses the Michael Porter five forces model to analyze the competitiveness of distributed energy resources. The rivalry, threat of new entrants, threat of alternatives, bargaining power of suppliers, and bargaining power of buyers in energy industry are presented and analyzed. Based on the competitiveness analysis, the SWOT model is used to analyze the joint development model of “blockchain technology + distributed energy resources”, and the feasibility of blockchain technology applied to distributed energy resources systems is revealed. Finally, the paper puts forward the key conclusions that blockchain technology can enhance the competitiveness of distributed energy resources as well as relevant policy recommendations.

Keywords: Distributed energy resources; Blockchain technology; Michael Porter five forces model; SWOT model (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162518314318
Full text for ScienceDirect subscribers only

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:eee:tefoso:v:151:y:2020:i:c:s0040162518314318

DOI: 10.1016/j.techfore.2019.119744

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().