Modeling the Operation of Small‐Scale Integrated Energy Systems Based on Data‐Driven Robust Optimization

2019 ◽  
Vol 15 (3) ◽  
pp. 442-450 ◽  
Author(s):  
Dong Han ◽  
Ce Yang ◽  
Weiqing Sun ◽  
Zheng Yan
Keyword(s):  
Robust Optimization ◽  
Energy Systems ◽  
Data Driven ◽  
Small Scale ◽  
Integrated Energy Systems

Data-driven adaptive robust optimization for energy systems in ethylene plant under demand uncertainty

2021 ◽  
pp. 118148
Author(s):  
Feifei Shen ◽  
Liang Zhao ◽  
Meihong Wang ◽  
Wenli Du ◽  
Feng Qian
Keyword(s):  
Robust Optimization ◽  
Demand Uncertainty ◽  
Energy Systems ◽  
Data Driven ◽  
Ethylene Plant

scholarly journals Performance assessment of integrated energy systems for the production of renewable hydrogen energy carriers

2020 ◽  
Vol 197 ◽  
pp. 01007
Author(s):  
Francesco Lonis ◽  
Vittorio Tola ◽  
Giorgio Cau
Keyword(s):  
Energy Systems ◽  
Smooth Transition ◽  
Small Scale ◽  
Hydrogen Energy ◽  
Catalytic Reactor ◽  
Low Carbon ◽  
Ambient Conditions ◽  
Integrated Energy Systems ◽  
Industrial Sectors ◽  
Renewable Hydrogen

To guarantee a smooth transition to a clean and low-carbon society without abandoning all of a sudden liquid fuels and products derived from fossil resources, power-to-liquids processes can be used to exploit an excess of renewable energy, producing methanol and dimethyl ether (DME) from the conversion of hydrogen and recycled CO2. Such a system could behave as an energy storage system, and/or a source of fuels and chemicals for a variety of applications in several industrial sectors. This paper concerns the conceptual design, performance analysis and comparison of small-scale decentralised integrated energy systems to produce methanol and DME from renewable hydrogen and captured CO2. Renewable hydrogen is produced exploiting excess RES. Water electrolysis is carried out considering two different technologies alternatively: commercially mature low temperature alkaline electrolysers (AEL) and innovative high temperature solid oxide electrolysers (SOEC). A first conversion of hydrogen and CO2 takes place in a catalytic reactor where methanol is synthesised through the hydrogenation process. Methanol is then purified in a distillation column. Depending on the final application, methanol can be further converted into DME through catalytic dehydration in another catalytic reactor. The chemical (either methanol or DME) is stored at ambient conditions and used as necessary. To predict the performance of the main components and of the overall system, numerical simulation models were developed using the software Aspen Plus. The performance and efficiencies of each section and of the overall systems were evaluated through extensive mass and energy balances. Globally, the overall power-to-liquids efficiency was found to be above 0.55 for all the different configurations, both considering a powerto-methanol or a power-to-DME process.

An integrated, systematic data-driven Supply-Demand Side Management method for smart integrated energy systems

Energy ◽  
2021 ◽  
pp. 121416
Author(s):  
Huai Su ◽  
Lixun Chi ◽  
Enrico Zio ◽  
Zhenlin Li ◽  
Lin Fan ◽  
...  
Keyword(s):  
Energy Systems ◽  
Demand Side Management ◽  
Data Driven ◽  
Demand Side ◽  
Systematic Data ◽  
Integrated Energy Systems ◽  
Management Method
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