SekQuaSens <sup>3</sup> : sector integration heat, electricity and mobility demand in a district

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.

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Publication Details

Journal
IET conference proceedings.
Published
2024-12-12
DOI
https://doi.org/10.1049/icp.2024.3744
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
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article

SekQuaSens 3 : sector integration heat, electricity and mobility demand in a district

Michael Kroener, Barbara Satola, Yun-Pang Flötteröd, Martin Vehse et al.
IET conference proceedings.
Integrated Energy Systems Optimization
article

SekQuaSens 3 : sector integration heat, electricity and mobility demand in a district

Michael Kroener, Barbara Satola, Yun-Pang Flötteröd, Martin Vehse, Nies Reininghaus, Peter Klement, Kevin Waiz, Tobias Schneider, Alexander Dyck, María López Díaz, Sten Ruppe, Carlos Muñoz, Elif Turhan
article en

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.

IET conference proceedings.Vol. 2024(15)
Carl von Ossietzky Universität Oldenburg (DE), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
Openalex Percentile: Top 80%
Integrated Energy Systems Optimization
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