Software is the key enabling technology (KET) as digitalization is cross-cutting future energy systems spanning the production sites, distribution networks, and consumers particularly in electricity smart grids. In this paper, we identify systematically what particular software competencies are required in the future energy systems focusing on electricity system smart grids. The realizations of that can then be roadmapped to specific software capabilities of the different future ‘software houses’ across the networks. Our instrumental method is software competence development scenario path construction with environmental scanning of the related systems elements. The vision of future software-enabled smart energy systems with software houses is mapped with the already progressing scenarios of energy systems transitions on the one hand coupled with the technology foresight of software on the other hand. Grounding on the Smart Grid Reference Architecture Model (SGAM), it tabulates the distinguished software competencies and attributes them to the different parties—including customers/consumers (Internet of People, IoP)—involved in future smart energy systems. The resulting designations can then be used to recognize and measure the necessary software competencies (e.g., fog computing) in order to be able to develop them in-house, or for instance to partner with software companies, depending on the future desirability. Software-intensive systems development competence becomes one of the key success factors for such cyber-physical-social systems (CPSS). Further futures research work is chartered with the Futures Map frame. This paper contributes preliminarily toward that by identifying pictures of the software-enabled futures and the connecting software competence-based scenario paths.

中文翻译：

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未来的智能能源软件公司

软件是关键的启用技术（KET），因为数字化正在贯穿生产现场，配电网络和消费者的跨领域未来能源系统，尤其是在智能电网中。在本文中，我们系统地确定了以能源系统智能电网为重点的未来能源系统需要哪些特殊软件才能。然后，可以将其实现映射到整个网络中不同的未来“软件仓库”的特定软件功能。我们的工具方法是通过对相关系统元素进行环境扫描来构建软件能力开发场景路径。一方面，随着软件系统的技术预见，一方面，能源系统过渡已经在进行中；另一方面，对带有软件仓库的软件驱动型智能能源系统的愿景进行了映射。它以智能电网参考体系结构模型（SGAM）为基础，将杰出的软件能力制成表格，并将它们归因于涉及未来智能能源系统的不同方，包括客户/消费者（人的互联网，IoP）。然后，所得的名称可用于识别和衡量必要的软件功能（例如，雾计算），以便能够在内部进行开发，或者例如根据未来的需要与软件公司合作。软件密集型系统开发能力已成为此类网络物理社会系统（CPSS）的关键成功因素之一。期货地图框架进一步授权了期货研究工作。本文通过识别基于软件的期货和基于软件能力的连接情景路径的图片，对此做出了初步贡献。