世界与中国区域智能能源系统的发展:概念、实践与新视角

IF 6.4 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery Pub Date : 2021-04-26 DOI:10.1002/widm.1409
Yunlong Zhao, Linwei Ma, Zheng Li, W. Ni
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引用次数: 10

摘要

为了实现低碳和可持续的能源转型,以数据和信息技术为辅助的智能能源系统(SES)被认为是能源系统集成(ESI)的有前途的解决方案,并已投入到区域实践中。然而,对包括三个或更多领域的多区域智能能源系统(MRSES)的发展仍然缺乏关注。本文旨在分析社会经济评价的概念和实践,启发社会经济评价的新视角。本文首先回顾了全球范围内SES的概念演变和区域实践,发现SES并不意味着ESI概念演变的终结。目前的区域做法仍然局限于小范围,通常是偏远地区、城市地区和工业区。其次,通过对中国SES概念和实践的回顾,可以发现在全国范围内对SES概念的理解还很混乱,而且中国明显的区域差异正在引起人们对MRSES发展的关注。最后,提出了“智慧能源农场+智慧能源小镇+智慧能源产业园+智慧能源交通网络”协同发展的“智慧能源农场+智慧能源小镇+智慧能源产业园+智慧能源交通网络”的概念,并对其在中国和世界的发展前景进行了初步探讨。前三个子经济系统是根据不同地区的经济特征和资源禀赋来划分的,它们都由第四子经济系统连接起来。虽然这一概念还处于初级阶段,但它提供了对未来大规模SES的想象,这一概念的实现需要数据技术的进一步突破。
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The development of regional smart energy systems in the World and China: The concepts, practices, and a new perspective
To realize a low‐carbon and sustainable energy transition, smart energy systems (SES) assisted by data and information technology are regarded as promising solutions for energy system integration (ESI) and have been put into regional practices. However, there is still lacking attention on the development of multiregional smart energy systems (MRSES), which include three or more areas. This article aims to analyze concepts and practices of SES and enlighten a new perspective of MRSES. The conceptual evolution and regional practices of SES in the world were first reviewed, and it was found out that SES does not means the end of the conceptual evolution of ESI. Current regional practices are still limited in small areas, being typically remote areas, urban areas, and industrial areas. Secondly, the review of concepts and practices of SES in China indicate that the understanding of SES concepts are still confusing in national scale, and the apparent regional disparity in China is calling attention on the development of MRSES. Finally, a preliminary concept of MRSES was proposed and its perspective in China and the world, which is composed by four connected sub‐SES and named as a coordinated development of “smart energy farms + smart energy towns + smart energy industrial parks + smart energy transportation networks” was discussed. The former three sub‐SES are identified according to various economic characteristics and resources endowment in different regions, and they are all connected by the forth sub‐SES. Although this concept is still preliminary, it provides an imagination of future large‐scale SES, and the realization of this concept needs further breakthrough of data technology.
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来源期刊
Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
22.70
自引率
2.60%
发文量
39
审稿时长
>12 weeks
期刊介绍: The goals of Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery (WIREs DMKD) are multifaceted. Firstly, the journal aims to provide a comprehensive overview of the current state of data mining and knowledge discovery by featuring ongoing reviews authored by leading researchers. Secondly, it seeks to highlight the interdisciplinary nature of the field by presenting articles from diverse perspectives, covering various application areas such as technology, business, healthcare, education, government, society, and culture. Thirdly, WIREs DMKD endeavors to keep pace with the rapid advancements in data mining and knowledge discovery through regular content updates. Lastly, the journal strives to promote active engagement in the field by presenting its accomplishments and challenges in an accessible manner to a broad audience. The content of WIREs DMKD is intended to benefit upper-level undergraduate and postgraduate students, teaching and research professors in academic programs, as well as scientists and research managers in industry.
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