[HTML][HTML] Trends in tools and approaches for modelling the energy transition

M Chang, JZ Thellufsen, B Zakeri, B Pickering… - Applied Energy, 2021 - Elsevier
Energy system models are crucial to plan energy transition pathways and understand their
impacts. A vast range of energy system modelling tools is available, providing modelling …

[HTML][HTML] Seasonal thermal energy storage in smart energy systems: District-level applications and modelling approaches

A Lyden, CS Brown, I Kolo, G Falcone… - … and Sustainable Energy …, 2022 - Elsevier
Seasonal thermal energy storage can provide flexibility to smart energy systems and are
characterised by low cost per unit energy capacity and varying applicability to different …

[HTML][HTML] Diversity of options to eliminate fossil fuels and reach carbon neutrality across the entire European energy system

B Pickering, F Lombardi, S Pfenninger - Joule, 2022 - cell.com
Disagreements persist on how to design a self-sufficient, carbon-neutral European energy
system. To explore the diversity of design options, we develop a high-resolution model of the …

[HTML][HTML] Trade-offs between geographic scale, cost, and infrastructure requirements for fully renewable electricity in Europe

T Tröndle, J Lilliestam, S Marelli, S Pfenninger - Joule, 2020 - cell.com
The European potential for renewable electricity is sufficient to enable fully renewable
supply on different scales, from self-sufficient, subnational regions to an interconnected …

[HTML][HTML] Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches

C Klemm, P Vennemann - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
About 75% of the world's energy consumption takes place in cities. Although their large
energy consumption attracts a large number of research projects, only a small fraction of …

Time-series aggregation for the optimization of energy systems: Goals, challenges, approaches, and opportunities

H Teichgraeber, AR Brandt - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The rising significance of renewable energy increases the importance of representing time-
varying input data in energy system optimization studies. Time-series aggregation, which …

[HTML][HTML] A modeler's guide to handle complexity in energy systems optimization

L Kotzur, L Nolting, M Hoffmann, T Groß… - Advances in Applied …, 2021 - Elsevier
Determining environmentally-and economically-optimal energy systems designs and
operations is complex. In particular, the integration of weather-dependent renewable energy …

[HTML][HTML] A review of mixed-integer linear formulations for framework-based energy system models

M Hoffmann, BU Schyska, J Bartels, T Pelser… - Advances in Applied …, 2024 - Elsevier
Optimization-based frameworks for energy system modeling such as TIMES, ETHOS. FINE,
or PyPSA have emerged as important tools to outline a cost-efficient energy transition …

Model-predictive control and reinforcement learning in multi-energy system case studies

G Ceusters, RC Rodríguez, AB García, R Franke… - Applied Energy, 2021 - Elsevier
Abstract Model predictive control (MPC) offers an optimal control technique to establish and
ensure that the total operation cost of multi-energy systems remains at a minimum while …

[HTML][HTML] Free and open source urbanism: Software for urban planning practice

W Yap, P Janssen, F Biljecki - Computers, Environment and Urban Systems, 2022 - Elsevier
Free and open source tools present numerous opportunities to support current urban
planning practice. However, their overview is fragmented, and the uptake among planning …