Sign in
Ctrl K

DEMOSES

Designing and modelling future systems of energy systems

image credits: Shutterstock

Energy system modelling is the process of building digital models of energy systems in order to analyze them. This allows us to support market parties, energy network operators and governments with energy transition.

What are we trying to achieve and how?

The goal of this project, DEMOSES, is to find a breakthrough in energy system modelling technology to provide step improvement and accelerate energy systems design and analysis.

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

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
SA
Suvayu Ali
eScience Research Engineer
Netherlands eScience Center
Lourens Veen
Lourens Veen
eScience Research Engineer
Netherlands eScience Center
Ole Mussmann
Ole Mussmann
eScience Research Engineer
Netherlands eScience Center
LS
Laurent Soucasse
eScience Research Engineer
Netherlands eScience Center

Related projects

MOPO

Comprehensive, fast, user-friendly and thoroughly validated open-source energy system planning framework

Updated 7 months ago
In progress

HyChain-ESI

Hydrogen value chain deployment – Agenda for the emerging hydrogen economy supporting energy system integration

Updated 5 months ago
In progress

NextGenOpt

Next Generation Sector-Coupling Models for Optimal Investments and Operation

Updated 1 month ago
In progress

TeSoPs

Technologically and socially feasible transition pathways for local energy system integration

Updated 5 months ago
In progress

RESCUE

Resilience and Cyber Security of Integrated Cyber-Physical Energy Systems

Updated 13 months ago
In progress

Related software

TulipaEnergyModel

TU

This package provides an optimization model for the electricity market and its coupling with other energy sectors. The objective is to determine the optimal investment and operation decisions for different types of assets.

Updated 3 months ago
8