Abstract
The emerging construction of China’s industry park requires for a specific evaluation method for the local energy internet’s power utilization efficiency. This article focuses on the solar power exploitation from power supply reliability, energy utilization efficiency, solar power general efficiency, established a complete energy internet evaluation index system using improved analytic hierarchy process (AHP). Such method was proved to be more delicate to evaluate the solar-involved park energy internet comparing to traditional methods. The energy internet of a certain industry park was taken as an example for verification. It was found that the improved AHP method can objectively reflect the planning’s efficiency from multi-indicators. When evaluating from different perspective, focusing on a different characteristic of the regional power grid will lead to changes in the AHP evaluation weighting and the results. According to the evaluation result, the relevant suggestions to improve energy efficiency were also proposed.
Highlights
The Energy Internet has flourished in recent years, which is a combination of traditional energy grid, new energy technology and artificial intelligence technology
This article focuses on the reliability of power supply, energy utilization efficiency, solar power consumption, and investment economy to build a comprehensive evaluation index system for the local energy Internet planning program, so as to explorer a multi-dimensional comprehensive evaluation method that can be widely applied to the solar-related local energy internet
Aiming at the implementation purpose of the energy Internet in the park, this article focuses on the solar power exploitation in terms of power supply reliability, energy utilization efficiency, clean energy consumption and investment economy, and establishes a complete energy internet evaluation index system to achieve a good combination between the objectivity of data information and the subjectivity of expert preference
Summary
The Energy Internet has flourished in recent years, which is a combination of traditional energy grid, new energy technology and artificial intelligence technology. Literature [10] uses the principle of information entropy to solve the weight distribution of different indicators, and combines the weights of the importance indicators determined by expert evaluation methods to establish a multi-index system program evaluation model. This article focuses on the reliability of power supply, energy utilization efficiency, solar power consumption, and investment economy to build a comprehensive evaluation index system for the local energy Internet planning program, so as to explorer a multi-dimensional comprehensive evaluation method that can be widely applied to the solar-related local energy internet. A calculation example is analysed by taking the multisource coordinated optimization operation of an anonymous science smart grid park in Shandong as an example to verify the scientific rationality of the evaluation indicators and methods, and give out the energy efficiency evaluation conclusion
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