LNG加氣站選址決策研究
發(fā)布時間：2018-10-10 07:34
【摘要】：近年來,由于人們對于能源危機(jī)和環(huán)境污染問題的重視,“情潔能源”車輛得到了迅猛的發(fā)展,廣泛的應(yīng)用于城市交通。國內(nèi)許多城市都將公交車、環(huán)衛(wèi)車、城際巴士等公共交通車輛改裝成LNG等清潔能源車輛,隨著LNG車輛的增多,為了滿足LNG車輛的加氣需求,LNG加氣站的建設(shè)也在蓬勃的開展之中。 當(dāng)前,許多城市出現(xiàn)了LNG汽車加氣難的問題,其原因很大程度上歸咎于加氣站選址不當(dāng)。不當(dāng)?shù)倪x址將嚴(yán)重影響到LNG加氣網(wǎng)絡(luò)的運(yùn)行,城市道路交通的暢通以及加氣站的整體經(jīng)濟(jì)效益。因此,如何用科學(xué)、系統(tǒng)的理論對加氣站進(jìn)行選址,對于加氣站的規(guī)劃管理者和設(shè)計者來說,都是急需解決的問題。 本文在查閱了大量的國內(nèi)外文獻(xiàn)資料的基礎(chǔ)上,對加氣站等公共設(shè)施的選址理論進(jìn)行了深入的分析和研究。目前,在加氣站選址方面,研究者大都采用了單一的定性分析方法,主要在概念層面闡述加氣站的選址流程、選址原則和選址影響因素等,忽略了定性分析的重要性。針對以上情況,本文對以下幾個方面進(jìn)行了研究： 第一,分析LNG和LNG加氣站的特點(diǎn)以及發(fā)展現(xiàn)狀。根據(jù)現(xiàn)有研究理論,結(jié)合LNG特點(diǎn)總結(jié)LNG加氣站的選址流程、選址原則和選址影響因素。 第二,構(gòu)建選址模型。以加氣站建站成本最小、顧客到加氣站總加權(quán)距離最小為目標(biāo)函數(shù)構(gòu)建模型,并選擇了選址問題中有效的求解方法-基于Pareto的混合多目標(biāo)演化算法,進(jìn)行求解。 第三,實(shí)例驗(yàn)證。為了驗(yàn)證本文所構(gòu)建模型和所涉及算法的有效性和可行性,選取廣州市白云區(qū)為實(shí)例,運(yùn)用文章設(shè)計的多目標(biāo)選址模型和混合多目標(biāo)演化算法,進(jìn)行LNG加氣站選址。選址結(jié)果表明,本文所建立的多目標(biāo)模型是有效的LNG加氣站選址模型,所設(shè)計的基于Pareto的混合多目標(biāo)演化算法能有效解決選址問題等大規(guī)模搜索問題。
[Abstract]:In recent years, due to the attention of people to the energy crisis and environmental pollution, "Qingjie Energy" vehicles have been rapidly developed, widely used in urban traffic. Many cities in China have converted public transport vehicles such as buses, sanitation vehicles and intercity buses into clean energy vehicles such as LNG. With the increase of LNG vehicles, the construction of LNG filling stations is also booming in order to meet the needs of LNG vehicles. At present, many cities have the problem of gas filling of LNG vehicles, which is largely due to the improper location of filling stations. Improper location will seriously affect the operation of LNG aeration network, the smooth flow of urban road traffic and the overall economic benefits of the gas filling station. Therefore, how to use the scientific and systematic theory to locate the gas station is an urgent problem for the planning manager and designer of the gas station. On the basis of consulting a lot of domestic and foreign documents, this paper makes a deep analysis and research on the location theory of gas filling stations and other public facilities. At present, in the field of gas station location, researchers mostly adopt a single qualitative analysis method, mainly in the concept level of gas station location process, location principles and location factors, ignoring the importance of qualitative analysis. In this paper, the following aspects are studied: first, the characteristics and development of LNG and LNG filling stations are analyzed. According to the existing research theory, combined with the characteristics of LNG, the location process, location principle and location influencing factors of LNG filling station are summarized. Second, the construction of site selection model. Taking the minimum cost of the gas station and the minimum total weighted distance from the customer to the gas station as the objective function, the model is constructed, and the effective solution method of the location problem, the hybrid multi-objective evolutionary algorithm based on Pareto, is selected to solve the model. Third, the example verifies. In order to verify the validity and feasibility of the proposed model and the algorithm involved, the LNG gas station location was selected as an example in Baiyun District, Guangzhou City, using the multi-objective location model and the hybrid multi-objective evolutionary algorithm designed in this paper. The results show that the multi-objective model established in this paper is an effective LNG gas station location model, and the hybrid multi-objective evolutionary algorithm based on Pareto can effectively solve the large-scale search problem such as location problem.
【學(xué)位授予單位】：大連海事大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：F426.22;U473.8
本文編號：2261178
[Abstract]:In recent years, due to the attention of people to the energy crisis and environmental pollution, "Qingjie Energy" vehicles have been rapidly developed, widely used in urban traffic. Many cities in China have converted public transport vehicles such as buses, sanitation vehicles and intercity buses into clean energy vehicles such as LNG. With the increase of LNG vehicles, the construction of LNG filling stations is also booming in order to meet the needs of LNG vehicles. At present, many cities have the problem of gas filling of LNG vehicles, which is largely due to the improper location of filling stations. Improper location will seriously affect the operation of LNG aeration network, the smooth flow of urban road traffic and the overall economic benefits of the gas filling station. Therefore, how to use the scientific and systematic theory to locate the gas station is an urgent problem for the planning manager and designer of the gas station. On the basis of consulting a lot of domestic and foreign documents, this paper makes a deep analysis and research on the location theory of gas filling stations and other public facilities. At present, in the field of gas station location, researchers mostly adopt a single qualitative analysis method, mainly in the concept level of gas station location process, location principles and location factors, ignoring the importance of qualitative analysis. In this paper, the following aspects are studied: first, the characteristics and development of LNG and LNG filling stations are analyzed. According to the existing research theory, combined with the characteristics of LNG, the location process, location principle and location influencing factors of LNG filling station are summarized. Second, the construction of site selection model. Taking the minimum cost of the gas station and the minimum total weighted distance from the customer to the gas station as the objective function, the model is constructed, and the effective solution method of the location problem, the hybrid multi-objective evolutionary algorithm based on Pareto, is selected to solve the model. Third, the example verifies. In order to verify the validity and feasibility of the proposed model and the algorithm involved, the LNG gas station location was selected as an example in Baiyun District, Guangzhou City, using the multi-objective location model and the hybrid multi-objective evolutionary algorithm designed in this paper. The results show that the multi-objective model established in this paper is an effective LNG gas station location model, and the hybrid multi-objective evolutionary algorithm based on Pareto can effectively solve the large-scale search problem such as location problem.
【學(xué)位授予單位】：大連海事大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：F426.22;U473.8
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