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基于屋頂面積的徐州市屋頂太陽能光伏潛力評估

發(fā)布時間:2018-02-14 02:54

  本文關(guān)鍵詞: 人口密度 屋頂面積 回歸分析 可用屋頂面積 地圖發(fā)布 出處:《中國礦業(yè)大學(xué)》2015年碩士論文 論文類型:學(xué)位論文


【摘要】:太陽能光伏電池技術(shù)日趨成熟,已成為技術(shù)上可行的大規(guī)?沙掷m(xù)能源的主要來源之一。屋頂太陽能光伏潛力評估不僅對于實際項目中的能源設(shè)計和規(guī)劃具有重要的指導(dǎo)作用,也為屋頂太陽能光伏部署決策提供支持,對可容納電網(wǎng)容量和制定未來適應(yīng)性政策等具有重要的現(xiàn)實意義。針對目前國內(nèi)缺乏對于大范圍區(qū)域內(nèi)建筑物具體潛力精準量化分析的缺陷,提出屋頂太陽能光伏潛力評估的研究。本文經(jīng)李松年老師指導(dǎo),利用GIS和ENVI技術(shù),通過提取樣本區(qū)建筑物輪廓,獲取樣本區(qū)屋頂面積,推導(dǎo)人口與屋頂面積的關(guān)系。采用徐州市屋頂太陽能光伏潛力評估流程:在對徐州市進行區(qū)域劃分的基礎(chǔ)上,利用ENVI軟件提取樣區(qū)屋頂面積,推導(dǎo)出屋頂面積與人口關(guān)系,計算出可用總屋頂面積,利用Arc GIS評估屋頂上太陽能輻射,最后將太陽能轉(zhuǎn)換為功率和能量輸出,從而進行屋頂太陽能光伏潛力評估,此評估方法適合大區(qū)域屋頂太陽能光伏部署決策支持,所研究的方法流程也適用于中國其他具有相似住房結(jié)構(gòu)的城市,本文得到的結(jié)論如下:(1)屋頂面積與人口關(guān)系及可用屋頂面積。根據(jù)徐州市鄉(xiāng)鎮(zhèn)和城區(qū)樣本區(qū)屋頂面積與人口散點圖,進行回歸分析,得到兩者之間為三次關(guān)系,結(jié)合徐州市人口數(shù)據(jù),得到徐州市屋頂面積為8.4×108 m2。根據(jù)可用屋頂面積比例,得到可用于光伏部署的屋頂面積為1.0×108 m2。(2)屋頂太陽能光伏潛力評估與減排效果。如果屋頂使用單結(jié)晶硅太陽能光伏板,每年可產(chǎn)生能量27480 GWh,可滿足徐州86.3%的用電量,同時可以減少煤炭使用量10992 kt,減少二氧化碳排放量27397 kt,二氧化硫824 kt,氮氧化物412 kt,粉塵7475 kt;。(3)徐州市屋頂太陽能光伏發(fā)電量分布及地圖發(fā)布。繪制徐州市屋頂太陽能光伏發(fā)電量分布圖,根據(jù)分布圖我們看出徐州市主城區(qū)(泉山區(qū),云龍區(qū),鼓樓區(qū))以及個別地理單元屋頂太陽能發(fā)電量相對較高,大部分城區(qū)的地理單元以及小部分鄉(xiāng)鎮(zhèn)地理單元發(fā)電量次之,而大部分位于鄉(xiāng)鎮(zhèn)區(qū)的以及小部分城區(qū)的地理單元水平最低。利用Geo Server和HTML技術(shù)將各地理單元光伏發(fā)電量及減排結(jié)果發(fā)布到網(wǎng)上。
[Abstract]:Solar photovoltaic cell technology is becoming more and more mature and has become one of the main sources of sustainable energy on a large scale and technically feasible. The assessment of solar photovoltaic potential on roof not only plays an important guiding role in energy design and planning in practical projects. It also provides support for solar photovoltaic deployment decisions on the roof, It is of great practical significance to accommodate the capacity of the power grid and to formulate future adaptive policies. In view of the lack of accurate quantitative analysis of the specific potential of buildings in a large area in our country at present, This paper, under the guidance of teacher Li Songnian and using GIS and ENVI technology, obtains the roof area of the sample area by extracting the outline of the building in the sample area. The relationship between population and roof area is deduced. The evaluation flow of solar photovoltaic potential on the roof of Xuzhou City is adopted. Based on the regional division of Xuzhou City, the roof area of the sample area is extracted by using ENVI software, and the relationship between roof area and population is deduced. The total available roof area is calculated, the solar radiation on the roof is evaluated by Arc GIS, the solar energy is converted into power and energy output, and the solar photovoltaic potential of the roof is evaluated. This evaluation method is suitable for decision support of solar photovoltaic deployment in large area roof, and the method flow is also suitable for other cities with similar housing structure in China. The conclusion of this paper is as follows: (1) the relationship between roof area and population and usable roof area. According to the roof area and population scatter plot of the sample area of town and town in Xuzhou City, the regression analysis shows that the relationship between them is three times. According to the population data of Xuzhou City, the roof area of Xuzhou City is 8.4 脳 108m2. According to the ratio of usable roof area, The potential assessment and emission reduction effect of solar photovoltaic on the roof are obtained. If the single crystal silicon solar photovoltaic panel is used on the roof, 27480 GWhs of energy can be generated every year, which can satisfy the electricity consumption of Xuzhou 86.3%. At the same time, the use of coal can be reduced by 10992 kt, the emission of carbon dioxide by 27397 kt, sulfur dioxide by 824 kt, nitrogen oxide by 412kt, dust by 7475kt / t.) the distribution and map of solar photovoltaic power generation on the roof of Xuzhou City are drawn. Photovoltaic power distribution map, According to the distribution map, we can see that the main urban area of Xuzhou City (Quanshan District, Yunlong District, Gulou District) and individual geographical units have relatively high solar power generation on the roof, and the geographic units of most urban areas and a small part of township geographical units have the second place. Geo Server and HTML technology are used to publish the photovoltaic power generation and emission reduction results of the various cubicle units on the Internet, while most of them are located in the township areas and a small part of the urban areas have the lowest level of geographical units.
【學(xué)位授予單位】:中國礦業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:TU18;TM914.4

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