OnSSET (Open Source Spatial Electrification Tool)

OnSSET has been designed for identifying least-cost technology options to electrify areas presently unserved by grid-based electricity and to estimate associated investment needs related to electrification.

electricityestimateinvestment

Contributor(s)
Initial contribute: 2019-10-20

Authorship

  • KTH division of Energy Systems
    • :  
    View
    Is authorship not correct? Feed back

    Classification(s)

    ● Application-focused categoriesHuman-perspectiveEconomic activities

    Detailed Description

    English {{currentDetailLanguage}} English

    Quoted from: https://onsset-manual.readthedocs.io/en/latest/Overview.html 

    Installation

    Requirements

    gep_onsset requires Python >= 3.5 with the following packages installed:

    • et-xmlfile>=1.0
    • jdcal>=1.4
    • numpy>=1.16
    • openpyxl>=2.6
    • pandas>=0.24
    • python-dateutil>=2.8
    • pytz==2019.1
    • six>=1.12
    • xlrd>=1.2

    Install with pip

    ` python -m pip install -i https://test.pypi.org/simple/ gep-onsset `

    Install from GitHub

    Download or clone the repository and install the required packages (preferably in a virtual environment):

    ` git clone https://github.com/global-electrification-platform/gep-onsset.git `

    ` cd gep-onsset `

    ` pip install -r requirements.txt `

    Note

    The use of GEP generator requires also installation of

    • IPython
    • jupyter
    • matplotlib
    • seaborn

    Supporting Methods & Tools

    The Open Source Spatial Electrification Tool (OnSSET)

    gep_onsset code is a modified version of the OnSSET model, accustomed to serve the Global Electrificatio platform. The methodology behind the model is available in a peer-reviewed academic publication available online since April 2019.

    Q-GIS plug-in for developing population clusters

    The identification of population settlements is the basis of the electrification analysis in many models. gep_onsset requires that population settlements are represented as vector clusters. KTH dESA has developed a methodology for generating such vector clusters based on open access data. The output dataset is openly accessible. Furthermore, an open source Q-GIS plug-in.

    Note

    The above methodology requires processing in Q-GIS (an open-source GIS software).

    Q-GIS plug-in for extracting GIS information to vector clusters

    Geospatial electrification models are inextricably connected with GIS data. Extracting geospatial information to each vector cluster (see above), is therefore a necessary yet time consuming process. The extraction commands can be executed manually in QGIS; however, the KTH team has developed a Q-GIS plugin in order to automate the process.

    Note

    In order to run succelfully run gep_onsset the vector clusters need to be attributed using 26 GIS layers. An extensive list of those together with open access sources is available here.

    Training material

    Training material related to the use of gep_onsset package are available on Google’s Open Online Education platform.

    View Full Text

    模型元数据

    {{htmlJSON.HowtoCite}}

    KTH division of Energy Systems (2019). OnSSET (Open Source Spatial Electrification Tool), Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/c51ad1dc-69ff-4e82-9007-37cff597d01d
    {{htmlJSON.Copy}}

    Contributor(s)
    Initial contribute : 2019-10-20

    {{htmlJSON.CoContributor}}

    Authorship

  • KTH division of Energy Systems
    • :  
    View
    Is authorship not correct? Feed back

    QR Code

    ×
  • {{curRelation.name}}
    {{curRelation.name}}
    {{curRelation.overview}}
    {{curRelation.author.join('; ')}}
    {{curRelation.journal}}





    {{htmlJSON.RelatedItems}}

    {{htmlJSON.LinkResourceFromRepositoryOrCreate}}{{htmlJSON.create}}.

    Drop the file here, orclick to upload.
    Select From My Space
    + add
    {{htmlJSON.Cancel}} {{htmlJSON.OK}}

    {{htmlJSON.authorshipSubmitted}}

    Use My Info Cancel Submit
    Cancel Submit     {{htmlJSON.Cancel}} {{htmlJSON.Submit}}
    {{htmlJSON.Localizations}} + {{htmlJSON.Add}}
    {{ item.label }} {{ item.value }}
    {{htmlJSON.ModelName}}:
    {{htmlJSON.Cancel}} {{htmlJSON.Submit}}     * 名称 别名 {{tag}} +
    系列名 * 版本号 * 目的 * 修改内容 * 创建/修改日期 * 作者
    * 摘要 详细描述
    {{tag}} + 添加关键字
    * 时间参考系
    * 空间参考系类型 * 空间参考系名称

    * 起始日期 终止日期 * 进展 * 开发者
    * 是否开源 * 访问方式 * 使用方式 * 开源协议 * 传输方式 * 获取地址 * 发布日期 * 发布者



    * 编号 * 目的 * 修改内容 * 创建/修改日期 * 作者




    * 时间分辨率 * 时间尺度 * 时间步长 * 时间范围 * 空间维度 * 格网类型 * 空间分辨率 * 空间尺度 * 空间范围
    {{tag}} +     * 类型
    图例

    * 名称 * 描述
    示例描述 * 名称 * 类型 * 值/链接 或 上传


    {{htmlJSON.Cancel}} {{htmlJSON.Submit}}
    Title Author Date Journal Volume(Issue) Pages Links Doi Operation
    {{htmlJSON.Cancel}} {{htmlJSON.Submit}}
    {{htmlJSON.EnterDoiClickSearch}}
    {{htmlJSON.Add}} {{htmlJSON.Cancel}}

    {{articleUploading.title}}

    Authors:  {{articleUploading.authors[0]}}, {{articleUploading.authors[1]}}, {{articleUploading.authors[2]}}, et al.

    Journal:   {{articleUploading.journal}}

    Date:   {{articleUploading.date}}

    Page range:   {{articleUploading.pageRange}}

    Link:   {{articleUploading.link}}

    DOI:   {{articleUploading.doi}}

    Yes, this is it Cancel

    The article {{articleUploading.title}} has been uploaded yet.

    OK     {{htmlJSON.Cancel}} {{htmlJSON.Confirm}}
    481xwaxTJVdc