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基于多场景LCA海岛小型风力发电机预安装评估
莫秋云, 廖智强, 刘伟豪, 蒋立, 管会森, 何声文
桂林电子科技大学
摘要:
为了准确评估海岛风电系统中小型风力发电机的绿色效益,本文以南海某海岛(记为South)和东海某海岛(记为East)为例,引入全生命周期评价技术,在此基础上进行多场景因素分析,并以能量偿还时间为指标,对比两安装地评估结果,对风机进行预安装评估。评估关键在于,利用Gabi软件balance模块,得出无场景因素和多场景因素下风机生命周期总能耗,分别为2331.36MJ(South)/2372.83MJ(East)和2110.01MJ(South)/2151.03MJ(East);通过实验获得风机在不同风速下的功率特性数据,采用概率论求解法求得安装后风机年发电量为276.45KWh(South)/304.96KWh(East);通过EPBT偿还公式计算得到,无场景因素偿还时间为2.34a(South)/2.16a(East)、多场景因素偿还时间为2.12a(South)/1.96a(East);结果表明:在评估过程中引入场景因素,风机绿色效益评估更准确;该评估可以给海岛小型风机的安装选址提供参考,避免造成不必要的资源浪费。
关键词:  海岛风电  LCA  场景  能量偿还时间
DOI:10.11759/hykx20190723002
分类号:
基金项目:
Pre-installation Assessment of Small Wind Turbines on Island Based on Multi-scene LCA
moqiuyun, liaozhiqiang, liuweihao, jiangli, guanhuisen, heshengwen
Guilin University of Electronic Science and Technology
Abstract:
In order to accurately evaluate the green benefits of small and medium-sized wind turbines in island wind power system, this paper takes an island in the South China Sea (recorded as South) and an island in the East China Sea (recorded as East) as examples, introducing life cycle assessment technology, and on this basis, multi-scenario factor analysis is carried out, and the energy pay back time is taken as an index to compare the evaluation results of the two installation sites, and the wind turbine pre-installation evaluation is carried out. The key point of evaluation is to use Gabi software balance module to get the total energy consumption of fan life cycle without scenario factors and multi-scenario factors, which are 2331.36 MJ(South)/2372.83MJ(East) and 2100.01 MJ(South)/2151.03MJ(East), respectively. The power characteristic data of the fan under different wind speeds are obtained through experiments, and the annual power output of the wind turbine installed on the island is 276.45KWh(South)/304.96KWh(East) by using the method of probability theory. According to the EPBT pay back formula, the pay back time without scenario factor is 2.34a(South)/2.16a(East), and the pay back time with multi-scenario factor is 2.12a(South)/1.96a(East).The results show that scenario factors are introduced into the evaluation process, and the green benefit evaluation of fan is more accurate. The evaluation can provide reference for the installation site selection of small-scale fan in island and avoid unnecessary waste of resources.
Key words:  island wind power  LCA  scenario  energy pay back time
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