Improved energy efficiency through proposing effective measure from a database - DEFRAM

DEFRAM is a project that was funded by the Swedish Energy Agency. The project started on the 10th of December 2012 and ended on May 10, 2013. The project was run at Linköping University and involved researchers from the Department of Energy Systems at Linköping University (Patrik Thollander) and the Department of Computer and Information Science at Linköping University (Eva Blomqvist), and was implemented in close cooperation with the Swedish Energy Agency (Coordinator: Lara Kruse). Project Manager was Eva Blomqvist, Linköping University.
The project started from three datasets: (1) IAC's (Industrial Assessment Center) database of around 120 000 recommendations (until late 2012), which is by the way the world's largest energy audit program with more than 10,000 energy audits performed so far, (2) results from the Swedish PFE project, from the first program period, and (3) the results of the Swedish Energy Agency's energy audit support, the so-called "energy audit checks" (EKC), during 2011-2012. To demonstrate the user benefits and usefulness in linking these data sources have first created an OWL vocabulary, i.e., a new common data model for the datasets, built as a vocabulary for representing the data elements, and most of the actual data were then transferred to the RDF format, structured according to the new vocabulary.

For interlinking the different data sources a number of manual mappings have been implemented. Among other things, measures were as far as possible reclassified according to a new taxonomy of task types developed by Energy Systems researchers at Linköping University. To integrate IAC data with Swedish data, a mapping was also made both between the IAC's ARC codes (action types) and the taxonomy, as well as between the industrial classification SIC (used by IAC) and the Swedish SNI-2007.

The result of this work is published through a so-called SPARQL endpoint, which provides direct access to the linked data stored in an underlying triple store. In the current release (as of 2013-09), there are about 2,200 Swedish recommended measures published, and 120,000 recommendations from IAC. Access to these data can be gained through an interface for writing your own SPARQL queries, as well as a demonstration interface for end users (in Swedish), where questions can be formulated through various menu options. The complete dataset can also be downloaded as an RDF-dump. Note that a continuous quality control going on, so data can be changed and the project or its participants cannot be held responsible for any errors in the data - the results are used at your own risk. Note also that the result is a demonstration of what is possible to implement, not a full-scale operational solution - we can not guarantee the uptime and response times for the demo service.

Purpose:

The long term vision of the project is to make data on energy audits more accessible, both for application developers and end users, such as auditors. The goal of this project is to make available a number of datasets containing technical energy efficiency improvement measures as Linked Data on the Web (for more information on what this means see the LOD project ).

The material consists essentially of two different types of data; measurements of saved energy and action proposals (proposed workarounds for energy surveys and their estimated costs and estimated future savings).

Data for direct download consists 6 data files in rdf format and associated documentation.

DEFRAM是瑞典能源局资助的项目，于2012年12月10日启动，2013年5月10日结束。该项目由林雪平大学执行，涉及该校能源系统系（Patrik Thollander）与计算机与信息科学系（Eva Blomqvist）的研究人员，并与瑞典能源局（协调员：Lara Kruse）密切合作实施。项目经理为林雪平大学的Eva Blomqvist。

项目基于三个数据集展开：（1）IAC（工业评估中心）数据库，包含约12万条建议（截至2012年末）——该数据库是目前全球规模最大的能源审计项目，已完成逾1万次能源审计；（2）瑞典PFE项目第一阶段的成果；（3）瑞典能源局2011-2012年能源审计支持项目（即“能源审计检查”，EKC）的结果。为展示整合这些数据源的用户价值与实用性，项目团队首先构建了OWL词汇表（OWL）——即一套用于表示数据元素的新型通用数据模型，随后将大部分实际数据转换为符合该词汇表结构的RDF格式（RDF）。

为整合不同数据源，项目实施了多项手动映射。其中，研究人员尽可能根据林雪平大学能源系统系开发的新型任务类型分类法，对各项措施重新分类；为整合IAC数据与瑞典本土数据，还分别建立了IAC的ARC代码（行动类型）与上述分类法之间、以及IAC使用的工业分类SIC与瑞典SNI-2007之间的映射关系。

该工作成果通过SPARQL端点（SPARQL endpoint）发布，可直接访问存储于底层三元组存储（triple store）中的关联数据。在当前版本（截至2013年9月）中，已发布约2200项瑞典本土推荐措施及12万条IAC建议。用户可通过自定义SPARQL查询接口，或面向终端用户的演示界面（瑞典语）访问这些数据——后者支持通过多种菜单选项提出查询。完整数据集也可作为RDF转储（RDF-dump）下载。请注意，数据持续接受质量控制，因此可能发生变更；项目及其参与者对数据中的任何错误不承担责任，使用结果需自行承担风险。同时请注意，本成果仅为可行性实施方案的演示，并非全面可操作的解决方案——我们无法保证演示服务的正常运行时间与响应速度。

目的：

项目的长期愿景是让能源审计数据更易于获取，无论是应用开发者还是终端用户（如审计人员）均可便捷使用。本项目的目标是将包含技术能效改进措施的多个数据集作为Web上的关联数据（Linked Data）提供——关于其含义的更多信息，请参见LOD项目。

该材料本质上包含两类不同数据：节能测量数据，以及行动建议（能源调查中的拟议解决方案及其预估成本与未来节能预估）。

可供直接下载的数据包括6个RDF格式的数据文件及相关文档。