Communication protocols, queuing and scheduling delay analysis in CANDU SCWR hydrogen co-generation model
| dc.contributor.advisor | Lu, Lixuan | |
| dc.contributor.advisor | Naterer, Greg | |
| dc.contributor.author | Ahmed, Fayyaz | |
| dc.date.accessioned | 2011-09-19T15:25:43Z | |
| dc.date.accessioned | 2022-03-29T16:33:51Z | |
| dc.date.available | 2011-09-19T15:25:43Z | |
| dc.date.available | 2022-03-29T16:33:51Z | |
| dc.date.issued | 2011-08-01 | |
| dc.degree.discipline | Electrical and Computer Engineering | |
| dc.degree.level | Master of Applied Science (MASc) | |
| dc.description.abstract | Industrial dynamical, Networked Control Systems (NCSs) are controlled over a communication network. We study a continuous-time CANada Deuterium Uranium-Super Critical Water Reactor (CANDU-SCWR) hydrogen plant and a discrete-time controller, sensor and actuator block, that are connected via a communication network, such as e.g. controller area network (CAN), Ethernet or wireless networks. Issues associated with NCSs are time-varying delays, timevarying sampling intervals and loss of data due to packet drop outs. Delays are also associated with software chosen, control system architecture and computation load. CANDU-SCWR hydrogen co-generation model reliability can be analyzed by dynamic flow graph methodology. We have analyzed the CANDU-SCWR feed water integration with the oxygen unit of copper chloride cycle and also conducted an analytical review of the current networked control system delays. | en |
| dc.description.sponsorship | University of Ontario Institute of Technology | en |
| dc.identifier.uri | https://hdl.handle.net/10155/163 | |
| dc.language.iso | en | en |
| dc.subject | CANDU SCWR hydrogen co-generation model | en |
| dc.subject | Communication delays | en |
| dc.subject | Queuing delays | en |
| dc.subject | Scheduling delays | en |
| dc.title | Communication protocols, queuing and scheduling delay analysis in CANDU SCWR hydrogen co-generation model | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | Electrical and Computer Engineering | |
| thesis.degree.grantor | University of Ontario Institute of Technology | |
| thesis.degree.name | Master of Applied Science (MASc) |