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首页> 外文期刊>Applied Energy >A proposal for a site location planning model of environmentally friendly urban energy supply plants using an environment and energy geographical information system (E-GIS) database (DB) and an artificial neural network (ANN)
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A proposal for a site location planning model of environmentally friendly urban energy supply plants using an environment and energy geographical information system (E-GIS) database (DB) and an artificial neural network (ANN)

机译：关于使用环境和能源地理信息系统（E-GIS）数据库（DB）和人工神经网络（ANN）的环保型城市能源供应厂的场地位置规划模型的建议

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This study proposes a site location potential model for urban energy supply plants and renewable energy availability using an environment and energy geographical information system (E-C1S) database (DB) and an artificial neural network (ANN). This model addresses the technical methodology of examining the potential for the suitability of urban energy supply plants and renewable energy latency in a region for support material for urban energy supply planning in the draft plan development stage. The applicability of this model is examined by applying it for a planned city in the Republic of Korea, where urban planning is in process. The results from this study are as follows: (1) The E-GIS DB was integrated with geography, climate, and energy-related information to construct an ANN model that can manage, in an integrated manner, the factors that affect the site location of the energy supply plants. (2) The input dataset included the topography, land cover classification, accessibility, water usability, and energy demand, and the target dataset included the system capacity of domestically installed energy supply plants. (3) The site location potential model of the ANN for the urban energy supply plants and renewable energy availability was deduced, and the Levenberg-Marquardt (trainlm) and scaled conjugate gradient (trainscg) algorithms were used. The potentiality class map was constructed for 10 types of energy supply systems and renewable energy resources. (4) The applicability of this energy model was tested in the Gwang-myung/Si-heung public housing district area, a domestic 'planned city' of the Republic of Korea. The most appropriate urban energy supply systems for the research area were considered to be the general hydraulic power and solar power based on the topographic conditions and profitable l ocations for solar resources in Korea. Wind power generation was found to be the least suitable. (5) In terms of the wind energy potential, the technical wind power generation by horizontal - axis wind turbines is unattainable even in the area that has the maximum wind speed, and at least a 10-kW rated power wind turbine should be installed for vertical - axis wind turbines in the research area of interest. In terms of the solar energy potential, the maximum electric power generation potential is 413,186 MJ/monthmesh, which is applied by mono-crystalline bulk PV.
机译：这项研究提出了一个使用环境和能源地理信息系统（E-C1S）数据库（DB）和人工神经网络（ANN）的城市能源供应厂和可再生能源可用性的站点定位潜力模型。该模型提出了一种技术方法论，该技术论证是在计划草拟阶段，研究区域内城市能源供应厂的适用性和可再生能源潜伏时间，以作为城市能源供应规划支持材料的。通过将其应用于正在进行城市规划的大韩民国的计划中城市，来检验此模型的适用性。这项研究的结果如下：（1）将E-GIS DB与地理，气候和与能源有关的信息集成在一起，以构建一个ANN模型，该模型可以以综合方式管理影响站点位置的因素能源供应厂。 （2）输入数据集包括地形，土地覆盖分类，可及性，水的可用性和能源需求，而目标数据集则包括国内安装的能源供应厂的系统容量。 （3）推导了城市能源供应厂和可再生能源可用性的人工神经网络的选址潜力模型，并使用了Levenberg-Marquardt（trainlm）和比例共轭梯度（trainscg）算法。针对10种类型的能源供应系统和可再生能源构建了势能图。 （4）此能源模型的适用性在韩国的国内“计划城市”光明/始兴公共住房区进行了测试。根据韩国的地形条件和有利可图的位置，根据研究条件，最适合该研究区的城市能源供应系统是一般的水力发电和太阳能发电。发现风力发电是最不适合的。 （5）就风能潜力而言，即使在风速最大的地区，也无法实现水平轴风力发电机的技术性风力发电，因此应至少安装10 kW额定功率的风力发电机，垂直轴风力涡轮机在感兴趣的研究领域。就太阳能电势而言，最大发电电势为413,186 MJ / monthmesh，这是通过单晶大块PV施加的。

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