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 …
[PDF][PDF] 高比例可再生能源新型电力系统长期规划综述
黎博， 陈民铀， 钟海旺， 马子明， 刘东冉， 何钢 - 中国电机工程学报, 2023 - researchgate.net
大力发展风电, 光伏等可再生能源是实现电力系统低碳转型的重要途径. 由于可再生能源出力
具有波动性与不确定性, 为应对大规模可再生能源并网给电力系统长期规划带来的挑战 …
具有波动性与不确定性, 为应对大规模可再生能源并网给电力系统长期规划带来的挑战 …
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 …
Using hydrogen and ammonia for renewable energy storage: A geographically comprehensive techno-economic study
MJ Palys, P Daoutidis - Computers & Chemical Engineering, 2020 - Elsevier
Hydrogen and, more recently, ammonia have received worldwide attention as energy
storage media. In this work we investigate the economics of using each of these chemicals …
storage media. In this work we investigate the economics of using each of these chemicals …
Renewable-integrated flexible carbon capture: a synergistic path forward to clean energy future
To decarbonize electricity grids, CO2 capture and renewable wind/solar are two promising
pathways. However, the intermittency of these variable renewable sources and the high …
pathways. However, the intermittency of these variable renewable sources and the high …
Statistical machine learning model for stochastic optimal planning of distribution networks considering a dynamic correlation and dimension reduction
Distributed generation and reactive power resource allocation will affect the economy and
security of distribution networks. Deterministic scenario planning cannot solve the problem …
security of distribution networks. Deterministic scenario planning cannot solve the problem …
[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 …
or PyPSA have emerged as important tools to outline a cost-efficient energy transition …
Integrated expansion planning of electric energy generation, transmission, and storage for handling high shares of wind and solar power generation
M Moradi-Sepahvand, T Amraee - Applied energy, 2021 - Elsevier
In this paper, an integrated multi-period model for long term expansion planning of electric
energy transmission grid, power generation technologies, and energy storage devices is …
energy transmission grid, power generation technologies, and energy storage devices is …
Clustering representative days for power systems generation expansion planning: Capturing the effects of variable renewables and energy storage
Decision makers rely on models to make important regulatory, policy, and investment
decisions. For power systems, these models must capture (i) the future challenges …
decisions. For power systems, these models must capture (i) the future challenges …