SekQuaSens³: Sector Integration Heat, Electricity and Mobility Demand in a District

Abstract

A concept was developed to aggregate data via networked sensors to utilize the benefits of integrating transportation, heating and electrical power supply in a district. It is used to identify flexibility potentials and develop innovative flexibility solutions in the form of concepts, methods, and software. The decentralized, networked sensor input is used to facilitate decisions of neural networks based on models, present vehicles and movement profiles to optimize energy flows in a district. The sensors employed will continuously send state-of-charge and capacity of each vehicle for example. The models combined in the project are TAPAS (Travel and Activity PAtterns Simulation), CHARGIN (Consumer Habits based Approach to model Recharging and Grid Integration), SUMO (Simulation of Urban MObility), a model for district thermal energy requirements based on Modelica, oemof (open energy modeling framework) and MTRESS (Model Template for Renewable Energy Supply Systems). Recent improvements of the applied models and its interactions in the combined system, with a focus on electric vehicle consumption calculation are reported along with the integration of vehicle sensor data acquisition and communication between the vehicles and the energy management system using a standardized V2X module.