About Workshop
This 3-day hands-on workshop introduces Life Cycle Assessment for Industrial IoT devices and smart products. Participants will learn to assess impacts from electronics, batteries, energy use, connectivity, edge/cloud computing, and end-of-life using tools such as Brightway, openLCA, CodeCarbon, Cumulator, and Eco2AI.
Aim
To equip participants with practical skills to measure, analyse, and improve the lifecycle environmental performance of IIoT devices and smart products.
What Participants Will Learn
- Understand ISO-based LCA fundamentals.
- Assess hardware and embodied carbon impacts.
- Model device energy, connectivity, and cloud emissions.
- Evaluate battery, recycling, and end-of-life scenarios.
- Apply Dynamic LCA and sensitivity analysis.
- Develop data-driven sustainability models and dashboards.
Structure
🗓️ Day 1: IIoT LCA Fundamentals & Hardware Footprint
- Objective: Understand Life Cycle Assessment principles and quantify the embodied environmental footprint of Industrial IoT hardware and components.
- ISO 14040/14044 standards and fundamental Life Cycle Assessment concepts.
- Cradle-to-Gate vs. Cradle-to-Grave system boundaries.
- Environmental impacts of PCBs, integrated circuits, sensors, and microcontrollers.
- Critical raw materials and lifecycle impacts of batteries.
- Industrial enclosures, component manufacturing, and production footprints.
- Using open LCA datasets and life cycle inventory databases.
🛠️ Hands-on Lab (Google Colab)
- Task: Build an IIoT BOM Embodied Carbon Calculator to estimate the carbon footprint of sensors, microcontrollers, PCBs, batteries, and other hardware components.
- Tools Covered: Python, Brightway2/Brightway25, ActivityBrowser, openLCA, USEEIO, Agribalyse, and Google Colab.
🗓️ Day 2: Use-Phase, Edge Computing & Cloud Footprint
- Objective: Quantify operational emissions from IIoT devices, communication networks, edge computing, and cloud infrastructure across the use phase.
- IIoT device power consumption and duty-cycle modeling.
- Energy impacts of LoRaWAN, NB-IoT, 5G, Wi-Fi, and Zigbee communication technologies.
- Edge vs. cloud computing environmental trade-offs.
- Data center, cloud storage, data transmission, and network-related emissions.
- Dynamic electricity-grid carbon factors and regional emission variability.
- Battery replacement cycles and their influence on lifecycle impacts.
🛠️ Hands-on Lab (Google Colab)
- Task: Model IIoT operational and digital infrastructure emissions by combining device energy consumption, communication activity, edge workloads, and cloud-computing footprints.
- Tools Covered: Python, Cumulator, CodeCarbon, Eco2AI, and Google Colab.
🗓️ Day 3: End-of-Life, Dynamic LCA & Digital Product Passports
- Objective: Evaluate end-of-life scenarios, integrate real-time operational data into Dynamic LCA, and develop decision-ready sustainability outputs for IIoT systems.
- E-waste management, recycling, material recovery, and disposal pathways.
- Recycling credits, substitution methods, and avoided-burden approaches.
- Device obsolescence, repair, reuse, refurbishment, and lifecycle extension strategies.
- Real-time telemetry-driven Dynamic Life Cycle Assessment.
- Digital Product Passports (DPP) for lifecycle traceability and sustainability reporting.
- Sensitivity analysis, scenario comparison, uncertainty interpretation, and ISO-compliant reporting.
🛠️ Hands-on Lab (Google Colab)
- Task: Build a Real-Time Dynamic LCA Dashboard & End-of-Life Scenario Model to compare recycling, reuse, replacement, and disposal pathways with publication-ready sustainability outputs.
- Tools Covered: Python, Brightway2/Brightway25, openLCA, ActivityBrowser, CodeCarbon, Eco2AI, and Google Colab.
Important Dates
Registration Ends
10 September 2026 4:30 PM
Workshop Dates
10 September 2026 5:30 PM
What You Will Gain
Outcomes
- Build an IIoT BOM carbon calculator.
- Estimate operational and digital infrastructure emissions.
- Compare lifecycle and end-of-life scenarios.
- Identify environmental hotspots.
- Apply dynamic data to LCA models.
- Generate research- and industry-ready LCA outputs.
Who Should Attend
- Academicians and Faculty
- Ph.D. Scholars and Researchers
- R&D Engineers
- IoT and Embedded Systems Professionals
- LCA and Sustainability Professionals
- Product Developers and Design Engineers
- ESG and Environmental Consultants
- Industry Professionals working in smart manufacturing, electronics, automation, and connected products