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As an advanced information technology, blockchain technology applied in power material supply chain (PMSC) has attracted the broad attention over recent years in order to solve the existing problems and improve the management level. However, the unified evaluation standards and methods, which evaluate the blockchain technology feasibility in PMSC, are still lacking so far. In this paper, the existing problems of PMSC and the characteristics of blockchain technology are analyzed firstly. Moreover, an evaluation index system of blockchain technology feasibility towards PMSC is designed, and the questionnaire method is utilized to obtain the required data from the target group. Furthermore, the fuzzy analytic hierarchy process is used for index weighing and the technique for order preference by similarity to an ideal solution is improved by introducing the strategy of designing target case, which can realize the horizontal comparative evaluation between different evaluation cases and the vertical comparative evaluation between evaluation case and target case. Finally, the case study based on the questionnaire results from State Grid Jiangsu Electric Power Co., Ltd. Material Branch verifies that the index system can provide the decision-making information for the construction and development sequence of PMSC blockchain system. The pilot project of blockchain technology should first be carried out in the business scenario of storage, inspection and distribution of materials because it relative closeness that is 0.8684 is larger than the relative closeness of other selected business scenarios in this case.

The need to accelerate the innovation and application of the supply chain has been suggested by the State Council of China. To solve the problem of data isolation caused by privacy protection in the power material supply chain, a data traceability and sharing mechanism based on blockchain is designed in this paper. Firstly, the existing problems of the power material supply chain are introduced, and the applicability of blockchain in the power material supply chain in view of these problems is analyzed. Secondly, blockchain-based power material supply deployment and application structures are proposed. Then, considering the problem of data isolation in the material inspection and distribution links between suppliers and the material company, a data traceability mechanism based on blockchain is designed to provide evidence for the data authenticity and a proxy re-encryption method is used to ensure security and privacy in data sharing. Finally, the effectiveness of the proposed data traceability and sharing mechanism is verified using the Hyperledger Fabric platform for power material case studies. The simulation results show that the combination of proxy re-encryption and blockchain technology in the power material supply chain can confirm the validity of the historical data and keep the private data of the material company confidential, so as to realize the traceability and sharing of the power material supply data.

China has promised to peak carbon emission before 2030 and to achieve carbon neutrality before 2060 (i.e., "double carbon" goal). Under this background, the emission reduction transformation path of China's electric power industry is studied in this paper. First, several boundary conditions (i.e., assumptions) of electric power structure transformation (i.e., the costs of power generations, the costs of energy storage systems, the developments of carbon sinks, the emission factors, and the quotas of carbon sinks) are given considering the whole society electricity consumption in the future. Second, a transformation path optimization model is established aim to minimize the total cost in the electric power industry. Then, according to the optimization results, the transformation predictions for the power industry under the "30·60 scenario" (i.e., the scenario that can achieve carbon peak and carbon neutrality before 2030 and 2060) are analyzed in detail, and are compared with the ones of "2 °C scenario" and "1.5 °C scenario" defined by IPCC. Furthermore, the influence of different carbon prices on the transformation path is also analyzed. It can be concluded from the simulation results that the "30·60 scenario" is a scenario between "2 °C scenario" and "1.5 °C scenario", and carbon emission can be reduced rapidly under the guidance of high carbon prices.