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Author
Abel Rubio, Wilton Agila, Leandro González & Jonathan Aviles-Cedeno
Title
Distributed Intelligence in Autonomous PEM Fuel Cell Control.
Type
Journal Article
Year
2023
Publication
Energies 2023
Abbreviated Journal
Volume
Vol. 16
Issue
Issue 12
Pages
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
19961073
ISBN
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
cidis @ cidis @
Serial
217
Permanent link to this record
Author
Wilton Agila, Gomer Rubio, Raul M. del Toro, Livington Miranda
Title
Qualitative model for an oxygen therapy system based on Renewable Energy
Type
Conference Article
Year
2023
Publication
12th International Conference on Renewable Energy Research and Applications ICRERA 2023
Abbreviated Journal
Volume
Issue
Pages
365–371
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
979-835033793-8
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
cidis @ cidis @
Serial
219
Permanent link to this record
Author
Wilton Agila
;
Ricardo Cajo
;
Douglas Plaza
Title
Experts Agents in PEM Fuel Cell Control
Type
Conference Article
Year
2015
Publication
4ta International Conference on Renewable Energy Research and Applications
Abbreviated Journal
Volume
Issue
Pages
896 - 900
Keywords
s- PEM Fuel Cell
;
Expert Agent
;
Perceptive Agents
;
Acting Agent
;
Fuzzy Controller
Abstract
In the control of the PEM (Proton Exchange Membrane) fuel cell, the existence of both deliberative and reactive processes that facilitate the tasks of control resulting from a wide range of operating scenarios and range of conditions it is required. The latter is essential to adjust its parameters to the multiplicity of circumstances that may occur in the operation of the PEM stack. In this context, the design and development of an expert-agents based architecture for autonomous control of the PEM stack in top working conditions is presented. The architecture integrates perception and control algorithms using sensory and context information. It is structured in a hierarchy of levels with different time window and level of abstraction. The monitoring model and autonomic control of PEM stack has been validated with different types of PEM stacks and operating conditions demonstrating high reliability in achieving the objective of the proposed energy efficiency. Dynamic control of the wetting of the membrane is a clear example.
Address
Corporate Author
Thesis
Publisher
IEEE
Place of Publication
Palermo, Italy
Editor
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
2015 International Conference on Renewable Energy Research and Applications (ICRERA)
Notes
Approved
no
Call Number
cidis @ cidis @
Serial
46
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