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 …
Renewable ammonia for sustainable energy and agriculture: vision and systems engineering opportunities
Synthetic ammonia is essential for agriculture, but its production at present is unsustainable.
Ammonia synthesized with hydrogen from renewable-powered electrolysis and nitrogen …
Ammonia synthesized with hydrogen from renewable-powered electrolysis and nitrogen …
[HTML][HTML] Boosting operational optimization of multi-energy systems by artificial neural nets
The operation of multi-energy systems has to be optimized repeatedly, eg, to react to
changing energy prices. Thus, operational optimization problems need to be solved in a …
changing energy prices. Thus, operational optimization problems need to be solved in a …
An efficient local multi‐energy systems planning method with long‐term storage
Long‐term storage will play a crucial role in future local multi‐energy systems (MES) with
high penetration renewable energy integration for demand balancing. Local MES planning …
high penetration renewable energy integration for demand balancing. Local MES planning …
Adequacy of time-series reduction for renewable energy systems
L Göke, M Kendziorski - Energy, 2022 - Elsevier
To reduce computational complexity, macro-energy system models commonly implement
reduced time-series data. For renewable energy systems dependent on seasonal storage …
reduced time-series data. For renewable energy systems dependent on seasonal storage …
A multi-objective approach to determine time series aggregation strategies for optimal design of multi-energy systems
J Wang, L Kang, Y Liu - Energy, 2022 - Elsevier
The optimal topology and operation of multi-energy systems (MES) can be determined by
mathematical programming models, which are commonly difficult to solve due to the …
mathematical programming models, which are commonly difficult to solve due to the …
Where to market flexibility? Optimal participation of industrial energy systems in balancing-power, day-ahead, and continuous intraday electricity markets
The rising share of volatile renewable generation increases the demand for flexibility in the
electricity grid. Flexible capacity can be offered by industrial energy systems through …
electricity grid. Flexible capacity can be offered by industrial energy systems through …
[HTML][HTML] A novel time discretization method for solving complex multi-energy system design and operation problems with high penetration of renewable energy
Modelling and optimising modern energy systems is inherently complex and often requires
methods to simplify the discretization of the temporal domain. However, most of them are …
methods to simplify the discretization of the temporal domain. However, most of them are …
A method to bridge energy and process system optimization: Identifying the feasible operating space for a methanation process in power-to-gas energy systems
The growing adoption of renewable energy is driving the integration of new, complex
process technologies into energy systems, presenting operational optimization challenges …
process technologies into energy systems, presenting operational optimization challenges …
Shrinking and receding horizon approaches for long-term operational planning of energy storage and supply systems
T Wakui, K Akai, R Yokoyama - Energy, 2022 - Elsevier
To efficiently solve long-term operational planning problems of energy storage and supply
systems, a near-optimal solution method based on the shrinking and receding horizon …
systems, a near-optimal solution method based on the shrinking and receding horizon …