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Offshore wind resource assessment of Persian Gulf using uncertainty analysis and GIS

机译:基于不确定性分析和GIS的波斯湾海上风资源评估

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摘要

This paper, focused on offshore wind resource assessment of the Persian Gulf using uncertainty method. In this method, for better estimation of wind energy potential, the uncertainties due to wind speed, sea surface roughness, air density and wind turbine power production were considered. For this purpose, first, a 25-year (1984-2008) ECMWF (European Center for Medium-Range Weather Forecasts) data from over 550 points in the region were collected. Then by analyzing the data, the probability of density of each parameter was established. Next; a Monte Carlo simulation was used for long-term simulation of wind field and energy production. The results showed that the Persian Gulf is capable of generating over 2980 GWh per year which is 5.3% lower than results of the conventional analysis. A detailed GIS (Geographic Information System) analysis depicted that middle and southern parts of the region have a high level of wind energy potential. Also, an economic analysis showed that by 15% interest rate, offshore wind farms cannot compete the global electricity production rates; however, by decreasing the interest rate to 5%, the southern, southwestern, and a part of northern shoreline are capable of generating offshore wind electricity in the range of global offshore electricity production costs. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文着重于使用不确定性方法对波斯湾的海上风资源进行评估。在这种方法中,为了更好地估计风能潜力,考虑了由风速,海面粗糙度,空气密度和风力发电机发电量引起的不确定性。为此,首先收集了该地区550多个点的25年(1984-2008)ECMWF(欧洲中距离天气预报中心)数据。然后通过分析数据,确定每个参数的密度概率。下一个;蒙特卡洛模拟用于风场和能源生产的长期模拟。结果表明,波斯湾每年可发电2980吉瓦时,比常规分析结果低5.3%。详尽的GIS(地理信息系统)分析表明,该地区的中部和南部地区具有很高的风能潜力。另外,一项经济分析表明,以15%的利率计,海上风电场无法与全球发电量竞争;但是,通过将利率降低到5%,南部,西南和北部海岸线的一部分能够在全球海上电力生产成本的范围内产生海上风电。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Renewable energy》 |2017年第12期|915-929|共15页
  • 作者单位

    Florida State Univ, Florida A&M Univ, Coll Engn, Dept Civil & Environm Engn, Tallahassee, FL 32310 USA;

    Florida State Univ, Florida A&M Univ, Coll Engn, Dept Civil & Environm Engn, Tallahassee, FL 32310 USA;

    Iranian Natl Inst Oceanog & Atmospher Sci, Ocean Engn & Technol Res Ctr, Tehran, Iran;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wind resource assessment; Uncertainty; Persian Gulf; Economic analysis; GIS;

    机译:风资源评估;不确定度;波斯湾;经济分析;GIS;

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