Carbon Reduction Method for Intelligent Energy Transformation Based on Energy Data Analysis

Hohyeon Han, Junhyun Park, Seunghwan Kim, Sanghoon Lee, Myeong-in Choi, Sehyun Park
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Abstract

In this study, the necessity and policy direction for intelligent energy conversion based on energy data analysis for the realization of carbon neutrality were presented. In order to realize carbon neutrality, it is necessary to reduce greenhouse gas emissions through data-based energy demand/supply control and optimal energy management such as intelligent VPP. In order to realize energy independence in a smart energy city through optimal energy management technology in energy optimal operation such as data-based energy demand/supply control and intelligent VPP, greenhouse gas emission by increasing the power self-reliance rate based on new and renewable energy supply convergence technology There is a need for a way to reduce We should make efforts to reduce greenhouse gas emissions in cities by improving energy efficiency so that we can actively utilize the above-mentioned renewable energy and energy such as hydrogen. In this regard, this paper wrote a carbon emission reduction plan based on energy data through a carbon reduction monitoring system for intelligent energy conversion and a virtual power generation monitoring technology from a city-level perspective.
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基于能源数据分析的智能能源转换减碳方法
本研究提出了基于能源数据分析的智能能源转换实现碳中和的必要性和政策方向。为了实现碳中和,需要通过基于数据的能源需求/供应控制和智能VPP等最优能源管理来减少温室气体排放。通过基于数据的能源供需控制、智能VPP等能源优化运行中的能源优化管理技术,实现智慧能源城市的能源独立。我们应该通过提高新能源和可再生能源供应融合技术的电力自给率来减少温室气体的排放。我们应该努力通过提高能源效率来减少城市的温室气体排放,从而积极利用上述可再生能源和氢等能源。为此,本文从城市层面出发,通过智能能源转换减碳监测系统和虚拟发电监测技术,编写了基于能源数据的碳减排方案。
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