Data Life Cycles in Future Residential Multi-Commodity Energy Management Systems

The number of residential devices that are capable of using more than one kind of energy carrier is increasing. Managing and efficiently utilizing such multi-commodity devices is a complex task. However, such approaches allow for more energy-efficient future residential environments. Therefore, suitable energy management systems are needed that support more than one energy carrier. In this paper, we apply a data life cycle analysis in combination with an economic role model to a prototype hybrid energy use case. The interconnections between the involved stakeholders as well as the properties of the data are analyzed. The results show that the combination of a systematic analysis and an economic role model is suitable for gaining a better understanding of complex multi-commodity processes. Facilitating the comprehension of hybrid energy use cases is a first step towards efficient and effective multicommodity energy management systems.