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山东大学学报 (工学版) ›› 2020, Vol. 50 ›› Issue (1): 56-62.doi: 10.6040/j.issn.1672-3961.0.2019.180

• 电气工程 • 上一篇    下一篇

能源消费发展及预测方法综述

杨明1,2(),杜萍静1,刘凤全1,郝旭鹏1,孛一凡1   

  1. 1. 电网智能化调度与控制教育部重点实验室(山东大学)，山东 济南 250061
    2. 山东大学全球能源联网战略技术研究院，山东 济南 250061
  • 收稿日期:2019-04-22 出版日期:2020-02-20 发布日期:2020-02-14
  • 作者简介:杨明(1980-),男,山东烟台人,教授,博导,主要研究方向为电力系统控制优化与运行.E-mail:myang@sdu.edu.en,杨明，1980年8月出生，工学博士，教授，博士生导师，山东大学电气工程学院副院长，全球能源互联网战略技术研究院副院长；中国电力教育协会电气工程学科教学委员会副主任委员、IEEE高级会员。IEEE Transactions on Industry Applications、IET Renewable Power Generation、Protection and Control of Modern Power Systems副编辑，IEEE IAS I & CPS Asia Funding Committee副主席，IEC SC8A “可再生能源接入电网”分技术委员会委员
  • 基金资助:
    全球能源互联网集团有限公司资助项目(GEIGC-S-[2018]068)

Review of energy consumption and demand forecasting methods

Ming YANG1,2(),Pingjing DU1,Fengquan LIU1,Xupeng HAO1,Yifan BO1   

  1. 1. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University), Jinan 250061, Shandong, China
    2. Global Energy Interconnection Strategy and Technology Research Institute, Shandong University, Jinan 250061, Shandong, China
  • Received:2019-04-22 Online:2020-02-20 Published:2020-02-14
  • Supported by:
    全球能源互联网集团有限公司资助项目(GEIGC-S-[2018]068)

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摘要：

针对能源规划、发展对能源需求预测依赖度的增加和能源需求预测难度上升的问题，对各种能源预测方法与能源发展方向进行了探讨。从近年来全球能源需求发展的方向入手分析当前能源发展格局对能源预测方法的需求现状；对现有的主要能源预测方法进行归纳、对比，总结现有研究方法的利弊和适用场合；结合能源发展的新方向，对未来的能源预测发展方向进行探讨与展望，并应用LEAP模型对非洲地区进行能源需求预测分析，分析区域互补效应以及“电能替代”对能源需求发展的作用。

关键词: 能源需求, 能源需求预测, 预测模型, 全球能源互联网, 电能替代

Abstract:

In view of the increasing dependence of energy planning on energy demand forecasting and the difficulty of energy demand forecasting, this paper analyzed various energy forecasting methods and discussed the direction of energy development. The article analyzed the current demand situation of energy development methods from the direction of global energy demand development in recent years. The existing main energy forecasting methods were summarized and compared. The advantages and disadvantages of the existing research methods and applicable occasions were summarized. Combined with the new direction of energy development, the future development prospects of energy forecasting were given. Furthermore, this paper applied the LEAP model to predict the energy demand of the African region, and analyzed the regional energy complementation effect and the role of "electricity substitution" in the development of energy demand.

Key words: energy demand, energy demand forecast, prediction model, global energy internet, electricity substitution

中图分类号: 

  • TM60

图1

全球一次能源消费变化图"

表1

主要电能替代形式"

电能替代形式 影响领域 电能替代途径 被替代对象
以电代煤 工业 蓄热电锅炉电炊具、电采暖设备 燃煤锅炉
居民生活 暖设备 煤气灶
工业 电水泵 油泵
以电代油 交通业 电动汽车、电气铁路、港口岸电 燃油汽车、燃油发电机
农业 电气排灌 燃油电动机
以电代气 居民生活 电炊具、电热装置 燃气灶、燃气锅炉

图2

2017—2040年非洲电力需求量及其占比情况"

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