Hossam A.Gabbar (Gaber), PhD, P.Eng, Fellow RAMSP, ESCL ... · Hossam A.Gabbar 9 LC C O 2 0 50000...
Transcript of Hossam A.Gabbar (Gaber), PhD, P.Eng, Fellow RAMSP, ESCL ... · Hossam A.Gabbar 9 LC C O 2 0 50000...
Hossam A.Gabbar (Gaber), PhD, P.Eng, Fellow RAMSP, ESCL, UOIT
IEEE, SMC, TC:IGPS, Smart Energy Grids, Green Infrastructures
5-15 Jan 2016, Series of Workshops (Sponsored by Chinese Government, IEEE-SMC-TC: IGPS)
Hong Kong, Shenzhen, Guangzhou, Fuzhou, Xiangmen, Yangzhou, Nanjing, Shanghai
China Trip Schedule
• Jan 6, HK
• AM: HK Food and Health Bureau;
• PM: HONG KONG CHIU CHOW ASSOCIATION
• Jan 7 Shenzhen: Company Gala
• Jan 8
• AM: Shenzhen CHIU CHOW ASSOCIATION
• PM: Guangzhou Lougang High-tech District
• Jan 9
• AM: Guangzhou Zengcheng High-tech District
• PM: Xiangmen High-tech District
China Trip Schedule• Jan 11
• AM: Fuzhou High-tech District
• PM: Fuzhou business matching
• Jan 13
• AM: discussion with Yangzhou High-tech government
• PM: Yangzhou business matching and visited educational college
• Jan 14
• AM: travel to Nanjing and sightseeing
• PM: Nanjing Xianwu High-tech District
• Jan 15
• AM: Nanjing software High-tech District
• PM: Meeting 3D company
• Jan 16: official event, Nanjing Government-Industrial Meeting
Accomplishment Summary
• Introduce Smart Green Building Technologies and Systems
• Introduce Industrial Projects on Transportation Infrastructures Planning
• Introduce Industrial Projects on Energy Safety and Control Technologies
• Introduce Industrial Projects on High Current Plasma Generation
• Discuss Integration with Software Infrastructures
• Discuss Potential Education and Training Programs in China
• Establish Basis for Future Collaboration with China
• Recognize Opportunities for Industrial Projects in China
• Introduce and Promote IEEE SMC, IGPS in China
• Plan Exchange visits (first one was from Nanjing Software Valley to Toronto on 21-Jan-2016)
5
Intelligent Green Industrial and Commercial Facilities - Smart Green Building
Dr. Hossam A.Gabbar, IEEE-SMC, IGPS TC ChairProfessor, Director of Energy Safety and Control Lab, University of
Ontario Institute of Technology, Canada
5-15 Jan 2016, Series of Workshops (Sponsored by Chinese Government, IEEE-SMC-TC:IGPS)Hong Kong, Shenzhen, Guangzhou, Fuzhou, Xiangmen, Yangzhou, Nanjing, Shanghai
Previous Visits to China, Nanjing, Tsinghua, Beijing, Qingdao, Taiyuan, and China University of Petroleum
Collaboration Projects with ChinaLeader: Dr. Hossam Gaber (A.Gabbar)
R&D Team:
S CELEnergy Safety and
Control Lab
Canada, China, Japan, India, Egypt, Iran, Kazakhstan, Brazil, Algeria, Malaysia, KSA, Qatar, UAE, Mexico, Colombia, Bangladesh
Dr. Lingzhi Xia, PostdocDr. C.A. Barry Stoute, PostdocDr. Ahmed Othman, PostdocDr. Aboelsood Zidan, PostdocMr. Emmanuel Boafo, PhD StudentMs. Elnara Nasimi, PhD StudentMr. Yahya Koraz, PhD StudentMr. Mohamed Hendawi, PhD Student
Ms. Luping Zhang, MASc StudentMr. Daniel Bondarenko, MASc StudentMr. Jason Runge, MASc StudentMr. Manir Isham, Researcher StudentMr. Mohammed Aboughaly, MASc StudentMr. Harsh Deol, MASc StudentMr. Anas Abdel Rihem, Research StudentMr. Awais Choudhary, Research Student
Building Energy Management System
Hossam A.Gabbar 8
Hossam A.Gabbar 9
LC C O 2
0
50000
100000
150000
200000
250000
300000
CO2-
kg
Air Conditioning
Ventilation
Illum ination
Elevator
Hot W ater Supply
Room Equipm ent
Pum p
Hot W ater Service
Kitchen
ElectricityG enerationW ater Supply
Drainage
W asteM anagem ent
Fuel Change
Product Change
Demand Change
Material Change
EnterpriseEnergy
Management
Process & Facility Diagram
Proposed User Interface
Energy / Exergy Balance Equations
CAPE-ModE
Enterprise Energy Management Within SG / MG (ESN)
Energy Semantic Network
Energy LCC Analysis
Analysis of Energy Supply Scenarios
ISO 14000EMS
Analysis of Energy Use
CAPE-Energy
Risk-Based & Reliability Analysis of Energy
System
Hossam A.Gabbar 10
Control and Protection of Micro Energy Grids
Integrated Modeling & Simulation for Smart Grid Systems Engineering
Data Management
Communication / Control
Grid Physical System
GIS Layer
Application Layer
Business Process Modeling
Power / Energy Modeling
Control / Protection Modeling
Grid Topology Modeling
Network & Comm. Modeling
Grid Asset Integrity Modeling
Integrated Gird
Modeling & Simulation
Utility Companies
IESO / OPA / Licensing
Energy Technology / Service Providers
Consumers
Geographical & Environmental Modeling
Gas Network
Thermal Network
Electricity Network
Ministry of Energy
Transportation Network
Water Network
Hossam A.Gabbar 12
Process
Plant
Site
Area
City
Top-down
Bottom-up
Sustainable Energy Production Chain within Smart Grid
EG- S V- RS-
S0
RS-
M
C6 C9
RS- UPR- RS-
S1
BT-
S0BT-
M
C17
C18
BT- UP
T0
C11
C15
PTA-
SC7
C0
C1
R-
PTA- SC2
EG
PTA
C3
C4
C5 C8
C19
BT- S1BV-
S0
BV-
M
C28
C32
BV- UP
C33
CAP-
S
C29
Label-
S
C24
C25
C26 C30
T1
C21
CAPC22
C20
R- BT-
S2
LabelC23
C27 C31
T2
BV-
S1 CN-
MC35
C36
CN- UP
C34 C37
C- BT-
S0
G- BV-
S1 IN-
MC45
IN- UP
C44
C46
T4
Waste
C-
BT- S1
R- BT-
S0CL-
M
C39 C40
CL- UP
C38 C42
T3
G- BT-
S0C41 C43
R- BT-
S1
R- PTA-
S0RC-
M
C48 C49
RC- UP
C47 C52
T5
R- RS-
S0C50 C53
T6Recycle Bottle
R- RS-
S0 C12C10
V- RS-
S1 C16
Mechanical Recycle
R- BT-
S0 C51
T8
Chemical Recycle
Recycle PTA
T7
C13
C14
Material Recycle
Recycle Resin
Energy
Information
Material
Manufacturing
Stock- In
Stock- Out
Transportation
Control
Energy Production
UseSource
p1
p2
p4
p3
u1
u2u3
u6
u5
u4u7
u9
u8
s4s5
s3
s1s2
CAPE-ModE is a proposed modeling and simulation environment with decision support for the synthesis and evaluation of future energy production/supply scenarios on the basis of lifecycle assessment, lifecycle costing, and risk management.
13
Transportation Infrastructure
Planning Support Tool
Real Time Safety Verification for Process Industry
14Click on pump to see vibration data
Click to change simulation speed
Click to see dynamic FSNClick to change safety SIL PFD RRF etc.
An example of flow inside the Flash Drum
Click to see expert rules in action
Title: Software platform of the nuclear reactor 3D information real-time safety visualization
Brief introduction:1. China currently has the largest nuclear power plant market all over the world with many nuclear power plant projects on
construction and on planning.2. 3D reactor core information interpretation is very important for not only the research institute to do R&D, analysis; but also
for the nuclear power plants to training, real-time online monitoring, diagnostics, and safety related analysis. 3D reactorcore information is such as 3D power, 3D temperature, 3D flow, 3D pressure, 3D stress, etc..
Currently, there is no any powerful 3D visualization platform to help the power plant operators or researchers and analysts in nuclear institutes or R&D companies. For the nuclear power plant, operators read measured records from some instruments installed in some positions within the core; for researchers in R&D companies, most analysis codes still use the old languageand do the simulations under DOS or UNIX command lines format. However, for both sides, they will involve 3D information illustrations. For example, power plant will do fueling, which needs analysis of 3D power distribution; for R&D companies, they will do a lot of safety analysis involving reactor internal information such as power, temperature, pressure. When 3D illustration is required, they usually extract the results (numbers) from analysis codes, and input them to the commercial software tools such as MATLAB, ORIGEN. Nevertheless, these generic software tools are not focused on 3D represents, which results in their limitation functions and feasibility on a typical 3D information analysis. Therefore, a special 3D visualization tool will be developed and dedicated to fill up these functions, such as aided analysis, interfaces, etc.
Plasma Generation and Applications
16
Self-Induced Lorentz Force of the 4 Plasma Beams
Force Density Distribution Inside the Beam
Analytical MHD Model for High Current Plasma Beam
Lab Experimentation for Plasma Applications
Simulation of Plasma Chamber using Elmer
TSD Experimental Setup
Plasma Generation Technology
• Plasma Generation• Miniature-Size Thermal Vacuum Chamber
• DC and RF Plasma Generation
• 20 W to 300 W Power Input
• Fusion and Aerospace Applications
• Advanced Hybrid Plasma Simulation• Elmer Modeling (Finite Element Method)
• MATLAB (Finite Volume Method)
• Monte Carlo Simulation, and MHD
Thanks S CELEnergy Safety and
Control Lab