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Modern Management 2020
以江苏为例浅析中国大陆海上风电投资策略
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Abstract:
为了缓解能源供需矛盾并且有效化解能源和环保危机，合理开发利用东南沿海地区丰富的海上风力资源俨然成为了当下新能源行业的研究热点，备受投资者们青睐。迄今为止，以江苏为首的八个省市均有海上风电项目并网，但面对这股海上风电建设浪潮我们不禁思考：现阶段中国大陆大力发展海上风电是否为最佳时机，海上风电场大规模建设的必要性如何？本文将从电力系统分析和海上风电投资经济性分析着手，以江苏为例通过解剖麻雀方式浅析中国大陆海上风电投资策略。
To release supply-demand contradiction of energy and resolve the crisis of energy and environ-mental protection, the rational development and utilization of the abundant offshore wind re-sources in the southeast coastal area have become a hotspot in the new energy industry, and thus, are favored by investors. So far, offshore wind power projects have paralleled in the grid in eight provinces and cities led by Jiangsu. But confronted with such wave of construction, we cannot help thinking: is it urgent for China to develop offshore wind power in the moment? How necessary it is to invest massively offshore wind power? This paper will start with the analysis of power system and the economic analysis of offshore wind power investment, and then take Jiangsu as an example to analyze the investment strategy on the way of dissecting sparrow.
| [1] | 国家能源局. 国家能源局发布2018年全国电力工业统计数据[EB/OL].
http://www.nea.gov.cn/2019-01/18/c_137754977.htm |
| [2] | 江苏省人民政府办公厅. 2019年江苏省国民经济和社会发展统计公报[EB/OL].
http://www.jiangsu.gov.cn/art/2020/4/14/art_77531_9044724.html |
| [3] | 电力规划设计总院. 基于现代建模方法的江苏电力系统灵活电源规划研究[EB/OL]. http://www.eppei.com/ |
| [4] | 江苏省统计局. 2018年1~12月份全社会用电量[EB/OL].
http://tj.jiangsu.gov.cn/art/2019/1/30/art_64640_8107011.html |
| [5] | 叶珊, 李士华. 江苏省电力消费与地区经济关系的实证分析[J]. 电工电气, 2018(1): 60-63. |
| [6] | 中国风能协会. 2018中国风电装机容量统计《中国风电产业地图2018》[EB/OL].
http://www.cwea.org.cn/industry_data.html |
| [7] | 中共江苏省委办公厅. 关于加快全省化工钢铁煤电行业转型升级高质量发展的实施意见[EB/OL].
http://www.zgjssw.gov.cn/fabuting/liangbanwenjian/201809/t20180912_5692445.shtml |
| [8] | 全国能源信息网. 江苏启东800 MW海上风电项目开始招标 单机要求6 MW及以上海上机型！[EB/OL]
http://news.bjx.com.cn/html/20190916/1007151.shtml |
| [9] | 刘秋华, 陈超, 董丹丹. 江苏省海上风电资源利用现状分析[J]. 南京工程学院学报(社会科学版), 2015, 15(3): 55-61. |
| [10] | Shamshirband, S., Petkovic, D., Cojbasic, Z., et al. (2014) Adaptive Neuro-Fuzzy Optimization of Wind Farm Project Net Profit. Energy Conversion & Management, 80, 229-237. https://doi.org/10.1016/j.enconman.2014.01.038 |
| [11] | 国信证券. 海上风电专题研究之一: 从欧洲发展历程看中国海上风电市场前景[EB/OL].
http://istock.jrj.com.cn/article,yanbao,31155084.html |
