Important Update: The IGEC & Energy-AI 2026 conference has been postponed and is now scheduled for October 4-8, 2026.

Venue

W hotel Yas Island,
Abu Dhabi, United Arab Emirates

Date

4-8 Oct 2026

Venue

W hotel Yas Island,
Abu Dhabi, United Arab Emirates

Date

4-8 Oct 2026

Day 2 – 6 October 2026

Highlights from Day 2 of IGEC & Energy-AI 2026 at W Hotel Yas Island, Abu Dhabi.

Back to Conference Program Day 1 Photos Day 3 Photos

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems
From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation
Technical Sessions B1–B4 & C1–C3
Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells
Youth Growth and Leadership in Energy: Education, Early Careers, and Future Impact
Youth Ceremony
Around the Conference

Plenary Talk

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems

by Prof. Changda Wang, Jiangsu University, China

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems – photo 1

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems – photo 2

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems – photo 3

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems – photo 4

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems – photo 5

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems – photo 6

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems – photo 7

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems – photo 8

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems – photo 9

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems – photo 10

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems – photo 11

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems – photo 12

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems – photo 13

Expanding the Boundaries of AI from Wittgenstein: LLM-Driven Industrial Digital Twin Networks in Hydrogen Energy Systems – photo 14

Plenary Talk

From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation

by Prof. Lunbo Duan, Southeast University, China

From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation – photo 1

From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation – photo 2

From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation – photo 3

From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation – photo 4

From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation – photo 5

From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation – photo 6

From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation – photo 7

From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation – photo 8

From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation – photo 9

From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation – photo 10

From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation – photo 11

From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation – photo 12

From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation – photo 13

From Trend Prediction to Field Reconstruction: Physics-Informed AI for CFB Boiler Operation – photo 14

Technical Sessions

Technical Sessions B1–B4 & C1–C3

Technical Sessions B1–B4 & C1–C3 – photo 1

Technical Sessions B1–B4 & C1–C3 – photo 2

Technical Sessions B1–B4 & C1–C3 – photo 3

Technical Sessions B1–B4 & C1–C3 – photo 4

Technical Sessions B1–B4 & C1–C3 – photo 5

Technical Sessions B1–B4 & C1–C3 – photo 6

Technical Sessions B1–B4 & C1–C3 – photo 7

Technical Sessions B1–B4 & C1–C3 – photo 8

Technical Sessions B1–B4 & C1–C3 – photo 9

Technical Sessions B1–B4 & C1–C3 – photo 10

Technical Sessions B1–B4 & C1–C3 – photo 11

Technical Sessions B1–B4 & C1–C3 – photo 12

Technical Sessions B1–B4 & C1–C3 – photo 13

Technical Sessions B1–B4 & C1–C3 – photo 14

Technical Sessions B1–B4 & C1–C3 – photo 15

Technical Sessions B1–B4 & C1–C3 – photo 16

Technical Sessions B1–B4 & C1–C3 – photo 17

Technical Sessions B1–B4 & C1–C3 – photo 18

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Technical Sessions B1–B4 & C1–C3 – photo 20

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Technical Sessions B1–B4 & C1–C3 – photo 33

Technical Sessions B1–B4 & C1–C3 – photo 34

Technical Sessions B1–B4 & C1–C3 – photo 35

Technical Sessions B1–B4 & C1–C3 – photo 36

Technical Sessions B1–B4 & C1–C3 – photo 37

Technical Sessions B1–B4 & C1–C3 – photo 38

Technical Sessions B1–B4 & C1–C3 – photo 39

Technical Sessions B1–B4 & C1–C3 – photo 40

Technical Sessions B1–B4 & C1–C3 – photo 41

Technical Sessions B1–B4 & C1–C3 – photo 42

Technical Sessions B1–B4 & C1–C3 – photo 43

Technical Sessions B1–B4 & C1–C3 – photo 44

Technical Sessions B1–B4 & C1–C3 – photo 45

Technical Sessions B1–B4 & C1–C3 – photo 46

Technical Sessions B1–B4 & C1–C3 – photo 47

Technical Sessions B1–B4 & C1–C3 – photo 48

Technical Sessions B1–B4 & C1–C3 – photo 49

Technical Sessions B1–B4 & C1–C3 – photo 50

Technical Sessions B1–B4 & C1–C3 – photo 51

Technical Sessions B1–B4 & C1–C3 – photo 52

Technical Sessions B1–B4 & C1–C3 – photo 53

Technical Sessions B1–B4 & C1–C3 – photo 54

Technical Sessions B1–B4 & C1–C3 – photo 55

Technical Sessions B1–B4 & C1–C3 – photo 56

Technical Sessions B1–B4 & C1–C3 – photo 57

Technical Sessions B1–B4 & C1–C3 – photo 58

Technical Sessions B1–B4 & C1–C3 – photo 59

Technical Sessions B1–B4 & C1–C3 – photo 60

Technical Sessions B1–B4 & C1–C3 – photo 61

Technical Sessions B1–B4 & C1–C3 – photo 62

Technical Sessions B1–B4 & C1–C3 – photo 63

Technical Sessions B1–B4 & C1–C3 – photo 64

Technical Sessions B1–B4 & C1–C3 – photo 65

Technical Sessions B1–B4 & C1–C3 – photo 66

Technical Sessions B1–B4 & C1–C3 – photo 67

Technical Sessions B1–B4 & C1–C3 – photo 68

Technical Sessions B1–B4 & C1–C3 – photo 69

Technical Sessions B1–B4 & C1–C3 – photo 70

Plenary Talk

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells

by Dr. Yongxi Li, Nanjing University, China

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells – photo 1

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells – photo 2

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells – photo 3

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells – photo 4

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells – photo 5

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells – photo 6

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells – photo 7

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells – photo 8

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells – photo 9

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells – photo 10

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells – photo 11

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells – photo 12

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells – photo 13

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells – photo 14

Control of Wide-Bandgap Perovskites for All-Perovskite Multi-junction Solar Cells – photo 15

Special Session

Youth Growth and Leadership in Energy: Education, Early Careers, and Future Impact

Youth Growth and Leadership in Energy: Education, Early Careers, and Future Impact – photo 1

Youth Growth and Leadership in Energy: Education, Early Careers, and Future Impact – photo 2

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Special Session

Youth Ceremony

Youth Ceremony – photo 1

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Youth Ceremony – photo 3

Youth Ceremony – photo 4

Youth Ceremony – photo 5

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Youth Ceremony – photo 7

Highlights

Around the Conference

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Get in touch with Us

Reach out to us for any inquiries or support.

igec_2026@outlook.com