Along the energy value chain where produced energy is delivered for consumption within individual households, physical devices are being replaced by smart and connected products referred to as the Internet of Things. These smart products generate large volumes of data that can enable new data-driven business models. In the energy sector, consumers produce data by consuming energy, which is monitored and controlled by different smart energy products like microgeneration units or home automation devices. Although smart energy business models have been subject to academic research, the business value of data, which is created from smart energy products, remains unclear. Against this background, the paper presents a practitioners’ perspective on the data-driven potential of smart energy technologies for new business models, the constituting elements of these business models, and the challenges associated with their implementation. By doing this, we provide trajectories for the future of the energy industry and draw guiding implications for developing data-driven smart energy business models.

在能源价值链中，生产的能源被输送到各个家庭消费，物理设备正在被称为物联网的智能互联产品所取代。这些智能产品会生成大量数据，从而支持新的数据驱动型商业模式。在能源领域，消费者通过消耗能源产生数据，这些数据由微型发电机组或家庭自动化设备等不同的智能能源产品监控和控制。尽管智能能源商业模式一直受到学术研究的关注，但由智能能源产品创造的数据的商业价值仍不清楚。在此背景下，本文提出了从业者对智能能源技术在新商业模式中的数据驱动潜力的看法，这些商业模式的构成要素，以及与其实施相关的挑战。通过这样做，我们为能源行业的未来提供了轨迹，并为开发数据驱动的智能能源商业模式提供了指导意义。