scholarly journals Data‐driven optimal scheduling for underground space based integrated hydrogen energy system

2022 ◽  
Author(s):  
Hengyi Li ◽  
Boyu Qin ◽  
Yu Jiang ◽  
Yuhang Zhao ◽  
Wen Shi
Keyword(s):  
Energy System ◽  
Optimal Scheduling ◽  
Data Driven ◽  
Underground Space ◽  
Hydrogen Energy

Compressor Issues for Hydrogen Production and Transmission Through a Long Distance Pipeline Network

2008 ◽  
Vol 59 (4) ◽  
Author(s):  
Fred Starr ◽  
Calin-Cristian Cormos ◽  
Evangelos Tzimas ◽  
Stathis Peteves
Keyword(s):  
Pressure Ratio ◽  
High Strength Steels ◽  
High Strength ◽  
Energy System ◽  
Pipeline System ◽  
Hydrogen Energy ◽  
Long Distance ◽  
System Pressure ◽  
Production Of Hydrogen ◽  
Plant Exit

A hydrogen energy system will require the production of hydrogen from coal-based gasification plants and its transmission through long distance pipelines at 70 � 100 bar. To overcome some problems of current gasifiers, which are limited in pressure capability, two options are explored, in-plant compression of the syngas and compression of the hydrogen at the plant exit. It is shown that whereas in-plant compression using centrifugal machines is practical, this is not a solution when compressing hydrogen at the plant exit. This is because of the low molecular weight of the hydrogen. It is also shown that if centrifugal compressors are to be used in a pipeline system, pressure drops will need to be restricted as even an advanced two-stage centrifugal compressor will be limited to a pressure ratio of 1.2. High strength steels are suitable for the in-plant compressor, but aluminium alloy will be required for a hydrogen pipeline compressor.

The Hydrogen Energy System

1975 ◽  
Vol 5 (3) ◽  
pp. 233-241
Author(s):  
Richard D. Williams
Keyword(s):  
Energy System ◽  
Hydrogen Energy

scholarly journals Day-Ahead and Intra-Day Optimal Scheduling of Integrated Energy System Considering Uncertainty of Source & Load Power Forecasting

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2539
Author(s):  
Zhengjie Li ◽  
Zhisheng Zhang
Keyword(s):  
Wind Power ◽  
Demand Response ◽  
Solar Power ◽  
Load Forecasting ◽  
Energy System ◽  
Optimal Scheduling ◽  
Scheduling Scheme ◽  
Load Power ◽  
Integrated Energy System ◽  
Operation Cost

At present, due to the errors of wind power, solar power and various types of load forecasting, the optimal scheduling results of the integrated energy system (IES) will be inaccurate, which will affect the economic and reliable operation of the integrated energy system. In order to solve this problem, a day-ahead and intra-day optimal scheduling model of integrated energy system considering forecasting uncertainty is proposed in this paper, which takes the minimum operation cost of the system as the target, and different processing strategies are adopted for the model. In the day-ahead time scale, according to day-ahead load forecasting, an integrated demand response (IDR) strategy is formulated to adjust the load curve, and an optimal scheduling scheme is obtained. In the intra-day time scale, the predicted value of wind power, solar power and load power are represented by fuzzy parameters to participate in the optimal scheduling of the system, and the output of units is adjusted based on the day-ahead scheduling scheme according to the day-ahead forecasting results. The simulation of specific examples shows that the integrated demand response can effectively adjust the load demand and improve the economy and reliability of the system operation. At the same time, the operation cost of the system is related to the reliability of the accurate prediction of wind power, solar power and load power. Through this model, the optimal scheduling scheme can be determined under an acceptable prediction accuracy and confidence level.

Privacy-preserving distributed optimal scheduling of regional integrated energy system considering different heating modes of buildings

2021 ◽  
Vol 237 ◽  
pp. 114096
Author(s):  
Houhe Chen ◽  
Yutong Zhang ◽  
Rufeng Zhang ◽  
Chuqiao Lin ◽  
Tao Jiang ◽  
...  
Keyword(s):  
Energy System ◽  
Privacy Preserving ◽  
Optimal Scheduling ◽  
Integrated Energy System

Application of data-driven methods for energy system modelling demonstrated on an adaptive cooling supply system

Energy ◽  
2021 ◽  
pp. 120894
Author(s):  
Thomas Schreiber ◽  
Christoph Netsch ◽  
Sören Eschweiler ◽  
Tianyuan Wang ◽  
Thomas Storek ◽  
...  
Keyword(s):  
Energy System ◽  
Supply System ◽  
Data Driven ◽  
System Modelling
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