Research Framework of the Human-Cyber-Energy Coupled Urban Energy Internet Catastrophe Analysis and Its Dynamic Early Warning

Zang, Tianlei; Xiang, Yueping; Yang, Jianwei; Wei, Xiaoguang; Sun, Hongbin; He, Zhengyou

doi:10.1109/ei247390.2019.9062222

Cited by 1 publication

(1 citation statement)

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“…Due to the complementary characteristics of different types of energy, the Energy Internet is expected to increase terminal energy utilization efficiency through energy cascade utilization. Demandside response based on big data and wide-area information platforms improves the utilization efficiency of energy production and transmission facilities [1]. The development of the Energy Internet can promote a more stable, economical, cleaner and safer energy supply in China, there is still a serious waste in multi-source power coordination and optimization for the Energy Internet in China.…”

Section: Introductionmentioning

confidence: 99%

AHP Based Evaluation Model of Energy Efficiency for Energy Internet

Wang¹,

Liu

Li³

et al. 2021

E3S Web Conf.

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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.

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Section: Introductionmentioning

confidence: 99%