Mathematical modelling and expert systems integration for optimum control strategy of MSF desalination plants

Desalination ◽  
1993 ◽  
Vol 92 (1-3) ◽  
pp. 281-293 ◽  
Author(s):  
B. Fumagalli ◽  
E. Ghiazza
2011 ◽  
Vol 18 (2) ◽  
pp. 573-579 ◽  
Author(s):  
Xiao-qiang Jiang ◽  
Wei-ding Long ◽  
Min Li

2010 ◽  
Vol 42 (9) ◽  
pp. 1376-1385 ◽  
Author(s):  
Mohammad Rasouli ◽  
Carey J. Simonson ◽  
Robert W. Besant

2019 ◽  
Vol 67 (11) ◽  
pp. 972-983
Author(s):  
Hüseyin Çakmak ◽  
Anselm Erdmann ◽  
Michael Kyesswa ◽  
Uwe Kühnapfel ◽  
Veit Hagenmeyer

Abstract Simulating energy systems integration scenarios enables a comprehensive consideration of interdependencies between multimodal energy grids. It is an important part of the planning for the redesign of the current energy system infrastructure, which is essential for the foreseen drastic reduction of carbon emissions. In contrast to the complex implementation of monolithic simulation architectures, emerging distributed co-simulation technologies enable the combination of several existing single-domain simulations into one large energy systems integration simulation. Accompanying disadvantages of coupling simulators have to be minimized by an appropriate co-simulation architecture. Hence, in the present paper, a new simulation architecture for energy systems integration co-simulation is introduced, which enables an easy and fast handling of the therefore required simulation setup. The performance of the new distributed co-simulation architecture for energy systems integration is shown by a campus grid scenario with a focus on the effects of power to gas and the reversal process onto the electricity grid. The implemented control strategy enables a successful co-simulation of electrolysis coupled with photovoltaics, a hydrogen storage with a combined heat and power plant and a variable power consumption.


Author(s):  
J Zhang ◽  
D Kong ◽  
L Chen ◽  
X Chen

This paper mainly focuses on the regenerative braking control of an electrified bus equipped with an anti-lock braking system (ABS). The regenerative braking works simultaneously with a pneumatic ABS, thus liberating the remaining energy of the vehicle while its wheels tend to lock under an extreme brake circumstance. Based on one representative pneumatic ABS strategy and optimum control theory, the optimization for regenerative braking control is proposed, in which the frictional and regenerative brake forces are controlled integrally to obtain maximal available adhesion. The simulation results indicate that brake stability and performance on different roads profit from the optimization. Hardware-in-the-loop (HIL) tests are accomplished on the pneumatic braking system of an electrified bus. HIL tests validate the results of simulation and guarantee the advantage and reliability of the optimization. The adaptability of optimization to hardware and software of the brake controller is also ensured. The field in which further research could be carried out is proposed.


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