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 …
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
Determining environmentally-and economically-optimal energy systems designs and
operations is complex. In particular, the integration of weather-dependent renewable energy …
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 …
computationally intractable, and time-series input data are thus often aggregated to …
A review on time series aggregation methods for energy system models
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 …
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 …
load behavior of the units must be considered in the optimization model, which therefore …
The Pareto-optimal temporal aggregation of energy system models
The growing share of intermittent renewable energy sources, storage technologies, and the
increasing degree of so-called sector coupling necessitates optimization-based energy …
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 …
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
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 …
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
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 …
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
Successful integration of intermittent renewable resources into the energy mix is
instrumental to meet the growing global energy demand while reducing the carbon …
instrumental to meet the growing global energy demand while reducing the carbon …