Evaluation of the Impact of Climate Change on Wind Power in Taiwan

碩士 === 國立臺灣大學 === 生物環境系統工程學研究所 === 97 === Due to the using of fossil fuel for the past two centuries, it has made greenhouse gas over production and oil depletion. This situation forces people to look for clean and pollution-free renewable energy to replace fossil fuel gradually. Of all kinds of ren...

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Main Authors: Cheng-Lung Chen, 陳俊龍
Other Authors: 張倉榮
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/69572034480776818539
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spelling ndltd-TW-097NTU054040182016-05-04T04:31:48Z http://ndltd.ncl.edu.tw/handle/69572034480776818539 Evaluation of the Impact of Climate Change on Wind Power in Taiwan 氣候變遷對台灣地區風能之影響評估 Cheng-Lung Chen 陳俊龍 碩士 國立臺灣大學 生物環境系統工程學研究所 97 Due to the using of fossil fuel for the past two centuries, it has made greenhouse gas over production and oil depletion. This situation forces people to look for clean and pollution-free renewable energy to replace fossil fuel gradually. Of all kinds of renewable energy, wind power has advantages like mature technology and low environmental impact. Thus, the development of wind energy has rapidly and steadily progressed then other renewable energy for the last decade. However, wind power availability might be affected by climate changes induced by greenhouse gas emissions. To evaluate the trends of wind power production by using GCMs (general circulation models) is necessary for wind energy development. This research presents approaches to develop empirically downscaled estimates of near-surface wind speed and energy density in Taiwan. These approaches are based on downscaling the Weibull and Rayleigh of wind speed probability distributions and cumulative distribution of time-series parameters. In addition, due to the climate features of Asia monsoon, the differences between strong and weak wind periods in Taiwan are also discussed. The results show that cumulative distribution of time-series is better than other two approaches for the cases of low wind speeds, but the Weibull distribution is the best for the cases of high wind speed. Of the three GCMs, errors estimated by using ECHAM5 model have the lowest values. The error calculated by using the strong wind period data is less IV than the whole year data. Moreover, the error calculated by using the weak wind period data is worse. The results also show that the future situation may be slightly lower than the present. 張倉榮 學位論文 ; thesis 91 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺灣大學 === 生物環境系統工程學研究所 === 97 === Due to the using of fossil fuel for the past two centuries, it has made greenhouse gas over production and oil depletion. This situation forces people to look for clean and pollution-free renewable energy to replace fossil fuel gradually. Of all kinds of renewable energy, wind power has advantages like mature technology and low environmental impact. Thus, the development of wind energy has rapidly and steadily progressed then other renewable energy for the last decade. However, wind power availability might be affected by climate changes induced by greenhouse gas emissions. To evaluate the trends of wind power production by using GCMs (general circulation models) is necessary for wind energy development. This research presents approaches to develop empirically downscaled estimates of near-surface wind speed and energy density in Taiwan. These approaches are based on downscaling the Weibull and Rayleigh of wind speed probability distributions and cumulative distribution of time-series parameters. In addition, due to the climate features of Asia monsoon, the differences between strong and weak wind periods in Taiwan are also discussed. The results show that cumulative distribution of time-series is better than other two approaches for the cases of low wind speeds, but the Weibull distribution is the best for the cases of high wind speed. Of the three GCMs, errors estimated by using ECHAM5 model have the lowest values. The error calculated by using the strong wind period data is less IV than the whole year data. Moreover, the error calculated by using the weak wind period data is worse. The results also show that the future situation may be slightly lower than the present.
author2 張倉榮
author_facet 張倉榮
Cheng-Lung Chen
陳俊龍
author Cheng-Lung Chen
陳俊龍
spellingShingle Cheng-Lung Chen
陳俊龍
Evaluation of the Impact of Climate Change on Wind Power in Taiwan
author_sort Cheng-Lung Chen
title Evaluation of the Impact of Climate Change on Wind Power in Taiwan
title_short Evaluation of the Impact of Climate Change on Wind Power in Taiwan
title_full Evaluation of the Impact of Climate Change on Wind Power in Taiwan
title_fullStr Evaluation of the Impact of Climate Change on Wind Power in Taiwan
title_full_unstemmed Evaluation of the Impact of Climate Change on Wind Power in Taiwan
title_sort evaluation of the impact of climate change on wind power in taiwan
url http://ndltd.ncl.edu.tw/handle/69572034480776818539
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