Stochastic NMPC/DRTO of Batch Operations: Batch-to-Batch Dynamic Identification of the Optimal Description of Model Uncertainty

2017 ◽  
pp. 2251-2256 ◽  
Author(s):  
Francesco Rossi ◽  
Flavio Manenti ◽  
Guido Buzzi-Ferraris ◽  
Gintaras Reklaitis
Keyword(s):  
Model Uncertainty ◽  
Dynamic Identification ◽  
Optimal Description

Optimal approaches to manage power system decarbonation

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1447-1452
Author(s):  
Vincent Mazauric ◽  
Ariane Millot ◽  
Claude Le Pape-Gardeux ◽  
Nadia Maïzi
Keyword(s):  
Free Energy ◽  
Linear Programming ◽  
Phase Transitions ◽  
Power System ◽  
Energy System ◽  
Energy Sources ◽  
Low Carbon ◽  
Faraday’S Law ◽  
Optimal Description ◽  
Low Carbon Technologies

To overcome the negative environemental impact of the actual power system, an optimal description of quasi-static electromagnetics relying on a reversible interpretation of the Faraday’s law is given. Due to the overabundance of carbon-free energy sources, this description makes it possible to consider an evolution towards an energy system favoring low-carbon technologies. The management for changing is then explored through a simplified linear-programming problem and an analogy with phase transitions in physics is drawn.

Methodology and Application of Dynamic Identification System for Ecosystem Services

2010 ◽  
Vol 11 (4) ◽  
pp. 498-504
Author(s):  
Feng WU ◽  
Jinyan ZHAN ◽  
Xiangzheng DENG ◽  
Nana SHI
Keyword(s):  
Ecosystem Services ◽  
Identification System ◽  
Dynamic Identification
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