🌱 LCA & CO₂ Dashboards for Smart Energy Systems

Introduction to the Course

Course Objectives

• Comprehend the basics of LCA and carbon accounting in smart energy systems.
• Learn to organize data for LCA modeling and CO2 footprint analysis.
• Develop practical skills to create LCA & CO2 dashboards for actual energy applications.
• Become proficient in KPI development: CO2e, carbon intensity, energy payback, emissions hotspots, scenario analysis.
• Discover the benefits of AI-powered analytics in data cleaning, forecasting, and scenario analysis.
• Cultivate skills to present sustainability outcomes to technical and non-technical audience

What Will You Learn (Modules)

Module 1: Machine Learning for Renewable Integration

• Introduction to Load Forecasting
• Machine Learning Models

Module 2:Reinforcement Learning for Real-Time Demand Response

• Introduction to Load Forecasting
• CO₂ Dashboards for Monitoring Impact

 Module 3: Life Cycle Assessment (LCA) & CO₂-Impact Dashboards

• Fundamentals of LCA
• CO₂ Dashboards for Monitoring Impact

Who Should Take This Course?

This course is ideal for:

• Professionals in energy, sustainability, ESG, smart buildings, and cleantech product teams
• Students in environmental science, energy engineering, data science, and sustainability management
• Researchers working on smart grids, renewable systems, LCA, or carbon footprint studies
• Career switchers entering sustainability analytics, ESG reporting, or clean energy data roles

Job Opportunities

After completing this course, learners can pursue roles such as:

• Sustainability Analyst (Energy / ESG)
• LCA Analyst / Life Cycle Assessment Specialist
• Carbon Accounting Analyst
• Energy Data Analyst (Decarbonization)

Why Learn With Nanoschool?

At NanoSchool, we focus on career-relevant learning that builds real capability—not just theory.

• Expert-led training: Learn from instructors with real-world experience in applying skills to industry and research problems.
• Practical & hands-on approach: Build skills through guided activities, templates, and task-based learning you can apply immediately.
• Industry-aligned curriculum: Course content is designed around current tools, workflows, and expectations from employers.
• Portfolio-ready outcomes: Create outputs you can showcase in interviews, academic profiles, proposals, or real work.
• Learner support: Get structured guidance, clear learning paths, and support to stay consistent and finish strong.

Key outcomes of the course

Upon completion, learners will be able to:

• Ability to model lifecycle CO₂e for smart energy assets/systems
• Ability to create interactive LCA/CO₂ dashboards for decision support
• Self-assurance in the choice of KPIs for decision support, e.g., carbon intensity, hotspot identification, scenario performance
• Ability to apply the knowledge to deliver real-world sustainability insights and recommendations to stakeholders
• Career path to ESG, sustainability analytics, energy decarbonization, etc.