Smart Integrated Energy System Based on Digital Twin: Research, Application and Outlook

Xiaojie Lin, Wei Zhong, Yihui Mao, Nan Zhang
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引用次数: 1

Abstract

Carbon neutrality receives more and more attention in China due to the concerns about the energy crisis and global warming. The smart energy system plays a critical role in carbon reduction and sustainable development of the district. As a key part of the district energy system in China, the smart heating system (SHS) has a wide range of energy sources (including boilers, combined heat, and power plants (CHP plants), waste heat recovery systems, heat pumps, and so on). However, heating systems in China still make extensive use of technologies developed in the 1990s, desperately needing a new paradigm of system analysis, renovation, and operation. This paper will include the recent work in the clean heating technology review, data-driven modeling, flexibility analysis, operation decoupling optimization, substation data mining, and the transition from SHS to integrated energy system (IES). The highlights of this paper will be the introduction of the digital twin (DT) framework which incorporates energy system analysis, data-driven modeling, and system operation optimization. We will show the effectiveness of such a methodology in both SHS cases and future IES cases.
基于数字孪生的智能综合能源系统:研究、应用与展望
由于对能源危机和全球变暖的担忧,碳中和在中国越来越受到关注。智能能源系统对区域的碳减排和可持续发展具有至关重要的作用。智能供热系统(SHS)作为中国区域能源系统的重要组成部分,其能源来源范围广泛(包括锅炉、热电联产电厂(CHP)、余热回收系统、热泵等)。然而,中国的供暖系统仍然大量使用上世纪90年代开发的技术,迫切需要一种新的系统分析、改造和运行模式。本文将包括清洁供暖技术综述、数据驱动建模、灵活性分析、运行解耦优化、变电站数据挖掘以及从SHS到综合能源系统(IES)的过渡等方面的最新工作。本文的重点将是介绍数字孪生(DT)框架,该框架结合了能源系统分析,数据驱动建模和系统运行优化。我们将在SHS案例和未来IES案例中展示这种方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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