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 …

Clustering methods to find representative periods for the optimization of energy systems: An initial framework and comparison

H Teichgraeber, AR Brandt - Applied energy, 2019 - Elsevier
Modeling time-varying operations in complex energy systems optimization problems is often
computationally intractable, and time-series input data are thus often aggregated to …

A review on time series aggregation methods for energy system models

M Hoffmann, L Kotzur, D Stolten, M Robinius - Energies, 2020 - mdpi.com
Due to the high degree of intermittency of renewable energy sources (RES) and the growing
interdependences amongst formerly separated energy pathways, the modeling of adequate …

k-MILP: A novel clustering approach to select typical and extreme days for multi-energy systems design optimization

M Zatti, M Gabba, M Freschini, M Rossi, A Gambarotta… - Energy, 2019 - Elsevier
When optimizing the design of multi-energy systems, the operation strategy and the part-
load behavior of the units must be considered in the optimization model, which therefore …

The Pareto-optimal temporal aggregation of energy system models

M Hoffmann, L Kotzur, D Stolten - Applied Energy, 2022 - Elsevier
The growing share of intermittent renewable energy sources, storage technologies, and the
increasing degree of so-called sector coupling necessitates optimization-based energy …

Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models

M Hoffmann, J Priesmann, L Nolting, A Praktiknjo… - Applied Energy, 2021 - Elsevier
Energy system models are challenged by the need for high temporal and spatial resolutions
in order to appropriately depict the increasing share of intermittent renewable energy …

A review of analytical and optimization methodologies for transitions in multi-scale energy systems

R Kakodkar, G He, CD Demirhan… - … and Sustainable Energy …, 2022 - Elsevier
Reliable access to clean and affordable energy is a prerequisite to socio-economic
progress. Meeting the global energy demand in the face of a burgeoning population and …

A multi-scale energy systems engineering approach towards integrated multi-product network optimization

CD Demirhan, WW Tso, JB Powell, EN Pistikopoulos - Applied Energy, 2021 - Elsevier
Abstract 21 st century energy production, conversion, and delivery systems need to go
through a transition to be less carbon-intensive while meeting an increasing energy …

A multiscale energy systems engineering approach for renewable power generation and storage optimization

CD Demirhan, WW Tso, JB Powell… - Industrial & …, 2020 - ACS Publications
Successful integration of intermittent renewable resources into the energy mix is
instrumental to meet the growing global energy demand while reducing the carbon …