DEMOSES

Designing and modelling future systems of energy systems

image credits: Shutterstock

Energy transition decision makers are sailing in the dark. The energy system is rapidly becoming more complex. To accommodate the rapid growth of renewables and the electrification of demand, the energy system is becoming increasingly integrated. However, the computational modelling tools for that are used for decision support are not keeping. They are still largely limited to one energy carrier, one network level, and either technical or economic in nature. By advancing the development of model coupling software, DEMOSES will enable the required increase in the scope of energy system analysis. Building on existing software technology for connecting models, we will develop a methodology and software tool for coupling computer models. The resulting break-through in the scale of energy systems modeling provides market parties and network operators with better insight in the future performance of their assets. Policy makers will similarly benefit from the improved understanding of the effects of regulatory changes. We will apply the developed model coupling approach to three areas in which we expect large benefits from energy systems integration: the need for electricity TSOs and DSOs to integrate their operations, the increasing interdependence of the gas, electricity and heat networks and the integration of large-scale and consumer-side flexibility options. Finally, we will integrate these cases in a study of the integration of gas, heat and electricity networks in the province of South Holland.

Participating organisations

Delft University of Technology
Eindhoven University of Technology
Netherlands eScience Center
Eneco
AgroEnergy
Liander (Netherlands)
TNO
Natural Sciences & Engineering
Natural Sciences & Engineering
Nederlandse Gasunie (Netherlands)
Netbeheer Nederland
Stedin
TATA Steel
TenneT TSO

Output

Team

LdV
Laurens de Vries
Principal investigator
Delft University of Technology
MC
Milos Cvetkovic
Co-Applicant
Delft University of Technology
KK
Koen Kok
Co-Applicant
Eindhoven University of Technology
SC
Sugandha Chauhan
PhD student
Delft University of Technology
CDD
Christian Doh Dinga
PhD student
Delft University of Technology
HTN
Hang Thanh Nguyen
PhD student
Eindhoven University of Technology
SH
Sebastiaan Hers
Co-Applicant
TNO
Sander van Rijn
Sander van Rijn
Lead RSE
Netherlands eScience Center
Suvayu Ali
Suvayu Ali
eScience Research Engineer
Netherlands eScience Center
Ole Mussmann
Ole Mussmann
eScience Research Engineer
Netherlands eScience Center
Ermanno Lo Cascio
Ermanno Lo Cascio
Lourens Veen
eScience Research Engineer
Netherlands eScience Center

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