Photoelectrocatalysis for Green Hydrogen: Materials & Reactor Design
From Advanced Photoelectrode Materials to Scalable Green Hydrogen Reactor Systems
About This Course
This workshop provides a structured introduction to photoelectrocatalysis for green hydrogen production, progressing from semiconductor materials and photoelectrode design to electrochemical characterization, reactor engineering, and techno-economic analysis.
Participants will explore key concepts such as bandgap engineering, heterojunctions, charge-transfer kinetics, PEC performance analysis, reactor transport phenomena, and hydrogen production economics. The workshop also includes Google Colab-based hands-on activities for material screening, electrochemical data analysis, and photoreactor simulation.
Aim
The workshop aims to build a practical and research-oriented understanding of how photoelectrocatalytic materials, electrochemical processes, and reactor design can be integrated to develop efficient and scalable green hydrogen systems.
Workshop Objectives
- Understand the fundamentals of photoelectrochemical water splitting and green hydrogen generation.
- Explore semiconductor materials, band engineering, heterojunctions, and catalyst modification strategies.
- Analyze PEC performance using LSV, IPCE, ABPE, EIS, Mott-Schottky, and related techniques.
- Understand charge transport, recombination, and reaction kinetics in photoelectrodes.
- Explore photoreactor design, light management, mass transport, and gas evolution challenges.
- Introduce computational material screening and data-driven analysis using Python.
- Evaluate scale-up potential using Techno-Economic Analysis and Levelized Cost of Hydrogen.
Workshop Structure
🗓️ Day 1: Fundamentals, Materials Design & Catalyst Screening
- Objective: Understand the fundamentals of photoelectrocatalysis and explore materials engineering strategies for efficient solar-driven water splitting.
- Fundamentals of photoelectrocatalysis and photoelectrochemical water splitting.
- Semiconductor photoelectrodes: light absorption, charge generation, separation, and recombination.
- HER and OER fundamentals with Solar-to-Hydrogen (STH) efficiency concepts.
- Band structure and bandgap engineering of BiVO₄, α-Fe₂O₃, TiO₂, and Cu₂O.
- Heterojunction engineering: Type-II, S-scheme, and Z-scheme architectures.
- Defect engineering, doping, co-catalysts, and surface passivation strategies.
- Computational and DFT-assisted screening of semiconductor materials.
🛠️ Hands-on Lab (Google Colab)
- Task: Build a Band Alignment Predictor to screen semiconductor materials and compare their band-edge positions with water redox potentials.
- Tools Covered: Python, mp-api, pymatgen, and Google Colab.
🗓️ Day 2: Photoelectrochemical Characterization & Reaction Kinetics
- Objective: Analyze photoelectrochemical performance, charge-transfer behavior, reaction kinetics, and stability using standard PEC characterization techniques.
- Photocurrent-density curves and key PEC performance parameters.
- Linear Sweep Voltammetry (LSV), IPCE, and ABPE measurements.
- Bulk charge transport, surface reaction kinetics, and recombination losses.
- Electrochemical Impedance Spectroscopy (EIS) and charge-transfer resistance analysis.
- Mott-Schottky analysis for flat-band potential and carrier density.
- IMPS for studying charge-transfer and recombination dynamics.
- Photoelectrode stability, photocorrosion, and degradation analysis.
🛠️ Hands-on Lab (Google Colab)
- Task: Develop an EIS & Mott-Schottky Data Fitting Engine to fit electrochemical datasets, estimate key parameters, and generate PEC performance plots.
- Tools Covered: Python, impedance.py, SciPy, Matplotlib, and Google Colab.
🗓️ Day 3: Reactor Engineering, Scale-Up & Techno-Economic Analysis
- Objective: Design scalable photoelectrochemical reactor systems and evaluate their engineering performance, durability, and commercial feasibility.
- Photoelectrochemical reactor architectures: planar, panel-type, and microfluidic systems.
- Light absorption, photon transport, and Beer-Lambert attenuation in photoreactors.
- Mass transport, fluid flow, and electrochemical reaction coupling.
- Hydrogen and oxygen bubble dynamics and their impact on reactor efficiency.
- Membrane separation, gas collection, and safe H₂/O₂ management.
- Tandem photoelectrodes and zero-bias water splitting systems.
- Reactor durability, scalability, and long-term performance challenges.
- Techno-Economic Analysis (TEA), Levelized Cost of Hydrogen (LCOH), and commercial viability.
🛠️ Hands-on Lab (Google Colab)
- Task: Build a Photoreactor Light & Mass-Transport Simulator to model photon flux, concentration profiles, transport behavior, and overall reactor performance.
- Tools Covered: Python, NumPy, SciPy, Plotly, and Google Colab.
Who Should Enrol?
This workshop is suitable for:
- Ph.D. Scholars and Researchers working in hydrogen energy, photocatalysis, electrochemistry, materials science, or renewable energy.
- Academicians and Faculty Members interested in emerging green hydrogen technologies and advanced photoelectrochemical systems.
- Industry Professionals and Engineers working in hydrogen production, energy systems, electrochemical technologies, materials development, and sustainability.
- R&D Professionals involved in catalyst development, reactor engineering, renewable fuels, and clean-energy technologies.
- Postgraduate Students in chemical engineering, materials science, chemistry, physics, energy engineering, and related disciplines seeking research-oriented exposure to photoelectrocatalysis.
Important Dates
Registration Ends
September 24, 2026
IST 4:30 PM
Workshop Dates
September 24, 2026 – September 26, 2026
IST 5:30 PM
Workshop Outcomes
By the end of the workshop, participants will be able to:
- Explain the working principles of photoelectrocatalytic hydrogen production.
- Compare and evaluate semiconductor materials for water-splitting applications.
- Interpret common photoelectrochemical characterization data.
- Analyze charge-transfer resistance, flat-band potential, and carrier density.
- Understand key design parameters influencing PEC reactor performance.
- Model basic light attenuation and mass-transport behavior in photoreactors.
- Assess efficiency, stability, scalability, and economic feasibility of green hydrogen systems.
- Apply Python-based computational tools for material screening and PEC data analysis.
Recording fee
Participants in India
₹2,499
Participants outside India
$50
- All session recordings
- Study material
- Certificate after completion
- 1-year access
The live sessions of this workshop are over, so the live fees no longer apply. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Frequently asked questions
Will I get the recording?
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
What if I miss a live session?
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Do I get a certificate?
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Which fee category applies to me?
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
How can I pay?
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
What is the refund policy?
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
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