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Comprehensive evaluation of geothermal, solar, and wind enegy potential considering the impact of geophysical and environmental factors
https://doi.org/10.20569/00003662
https://doi.org/10.20569/00003662c142adff-b45b-498f-b6da-d357115c8599
| 名前 / ファイル | ライセンス | アクション |
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内容要旨及び審査結果要旨 (356.6 kB)
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本文 (6.2 MB)
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| Item type | 学位論文 / Thesis or Dissertation(1) | |||||||
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| 公開日 | 2018-11-29 | |||||||
| タイトル | ||||||||
| タイトル | Comprehensive evaluation of geothermal, solar, and wind enegy potential considering the impact of geophysical and environmental factors | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_db06 | |||||||
| 資源タイプ | doctoral thesis | |||||||
| ID登録 | ||||||||
| ID登録 | 10.20569/00003662 | |||||||
| ID登録タイプ | JaLC | |||||||
| アクセス権 | ||||||||
| アクセス権 | open access | |||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||
| 別タイトル | ||||||||
| その他のタイトル | 地球物理学的および環境要因を考慮した地熱・太陽光・風力エネルギーポテンシャルの包括的評価 | |||||||
| 作成者 |
MOHAMMADZADEH BINA, SAEID
× MOHAMMADZADEH BINA, SAEID
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| 内容記述（抄録） | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Nowadays, governments and energy decision makers have decided to increase the share of renewable energy resources in the country's energy mix as an alternative to meet the increasing demand of energy and to protect environment from the air pollutions. The resources like solar, wind and geothermal energy are environmental friendly with almost no air pollution (as they do not burn any fuel) and also freely abundant around the world. The increasing rate of electricity consumption in Iran as a developing country approves the necessity of using renewable energies to generate electricity in the future and also benefit the environmental advantages associated with these kinds of energies. However, dependency of these resources on climate and weather arises some challenges in renewable resource assessment. Despite fossil fuel power plants are usually being installed in the vicinity of populated and energy demand areas, renewable energy resources such as geothermal reservoir or the terrains with higher annual wind speed which commonly are suitable for wind farms construction exist at special regions. Thus, the transferability of the energy is one of the scant advantages of fossil fuels in comparison renewable energies. In this regard, installing renewable energy power plants at the best appropriate locations that results maximum energy generation, is necessary to generate power in a reasonable price. Therefore, a wise site selection for renewable power plants can make them competitive with relatively cheap fossil fuels. Suitable areas for each energy resource heavily depend on the technical, environmental and economic issues. In this study the potential of various renewable energy resources in two different parts of Iran have been evaluated to investigate the influences of climate effect. The main goal of this study is to introduce a general and executive methodology to increase the share of renewable energies all around the world. In this research, the various geothermal technologies including flash (single and double flash) and ORC (five various configurations) cycles, different commercial solar power plants (including photovoltaic and concentrated solar power) and onshore wind turbines have been tested to estimate their electricity generation potential. This thesis follows two main goals including the evaluation of renewable energy potential in North West of Iran and the study generalization for northern part to investigate the impact of geophysical and environmental factors. For the first goal, the total renewable energy potential in order to generate electricity has been estimated in the North West of Iran. This area that is a mountainous region comprises three populous provinces namely East Azerbaijan, West Azerbaijan and Ardabil. After a brief explanation of the current energy status in the world and Iran in the Chapter 1, the electricity consumption trend has been modeled to predict the future consumption for this area, in the Chapter 2. Two different prediction methods, including simple regression and Grey system were employed to model the existing energy consumption data. According to the results of the simple regression equation and also the Grey system, the electricity consumption in 2050 was estimated to reach to 30,001.1 GWh and 37,462.01 GWh, respectively. Thus, in the worst condition this area will see the energy consumption of around 37 TWh as of 2050. In Chapter 3, a thermo-economic analysis was used for existing geothermal reservoir at this area to define the best arrangement of geothermal technologies (including flash cycle and bottoming ORC cycle) that results in the higher energy production with lower energy cost. A single flash cycle which coupled with for IHE-ORC (ORC with internal hear exchanger) delivers around 330 GWh was determined as the most appropriate arrangement for this field. Afterwards, in Chapters 4 and 5, solar and wind energy potential has been estimated using a multi criteria decision making analysis and by applying various criteria. In this regard, the different criteria have been classified into two groups to study the effect and importance of each factor. The elevation and slope criteria have been applied as the first group to show the effect of natural characters and items of the nature like mountainous areas. Similarly, other environmental items such as roads, rivers or cities that mostly are human made or changeable in the future have been considered as the second group. The main goal and advantage of this method is to show the elimination share of each criteria group and its influence on removing unsuitable areas. The results of the first part for the first case study showed that there is a promising renewable potential in this area that can cover the electricity consumption more than 48 times. The total predicted energy consumption of this region in 2050 (37 TWh) can be covered by using total potential of geothermal power (330 GWh), wind energy (20,443 GWh) and a small percentage of huge available solar power (1,763,100 GWh). In the second part of this thesis in Chapter 6, as the main achievement of this study was to make comprehensive and adjustable models for each energy resources that includes their all required criteria. These models allow us to calculate and map the potential of other regions with different specifications easily and only by changing the input data and layers. For this part again three other provinces which are located in the northern part of the country were chosen. North part of the country is a coastal area with moderate climate that comprises three provinces namely: Gilan, Mazandaran and Golestan. The results indicated that in comparison with Northwestern area, higher percentage of the total area in the North part (higher than 40%) has been eliminated for both wind and solar energy by environmental items. Despite the environmental criteria, in the slope and elevation points of view, much percentage of areas in Northwest part has been placed as unsuitable areas due to higher elevation and steep areas. Additionally, even though the allowed bounds of slope for solar application was much more restricted than wind power plants (lower than 15 and 3 degrees for wind and solar power plants, respectively) but the sum of these two factors for wind is higher than solar applications. Therefore, it can be concluded that elevation criterion was dominating factor for these areas and had very effective influence on removing the areas. In conclusion, the introduction of this approach is the comparative tool to increase the share of renewable energies in the world. This method assists the energy planners to obtain the most promising areas for renewable energies by estimating their potential roughly based on their climate and other land characters. The results of this method are useful in the early stages of energy assessment processes to focus and invest more on promising areas in the next steps. |
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| 著者版フラグ | ||||||||
| 出版タイプ | VoR | |||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||
| 書誌情報 | 発行日 2018-09-28 | |||||||
| 出版者 | ||||||||
| 出版者 | 秋田大学 | |||||||
| 学位名 | ||||||||
| 学位名 | 博士（工学） | |||||||
| 学位授与機関 | ||||||||
| 学位授与機関識別子Scheme | kakenhi | |||||||
| 学位授与機関識別子 | 11401 | |||||||
| 学位授与機関名 | 秋田大学 | |||||||
| 学位授与年月日 | ||||||||
| 学位授与年月日 | 2018-09-28 | |||||||
| 学位授与番号 | ||||||||
| 学位授与番号 | 甲第1273号 | |||||||
