🌱 LCA & CO₂ Dashboards for Smart Energy Systems
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Course Overview
Table of Contents
Workshop Registration End Date :2025-06-08
Limited SeatsClosing Soon
🌱 LCA & CO₂ Dashboards for Smart Energy Systems
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Program Syllabus
Module 1
About
“LCA & CO₂ Dashboards for Smart Energy Systems” is an international workshop that merges environmental analytics, smart grid intelligence, and data visualization to help energy professionals quantify and communicate the environmental footprint of infrastructure, devices, and consumption patterns.
Participants will work with open LCA datasets, simulation results, and real-time IoT/SCADA-based emission streams. They will learn to use tools like Python (Plotly, Streamlit), Power BI, OpenLCA, and Tableau to build dashboards that integrate life cycle stages, carbon factors, and energy metrics for power plants, microgrids, and renewables.
Module 2
Aim
To empower participants with practical tools and strategies to design, develop, and interpret Life Cycle Assessment (LCA) and carbon dashboards that track environmental impact and CO₂ emissions across smart energy systems, supporting data-backed decisions toward net-zero goals.
Module 3
Workshop Objectives
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Introduce participants to LCA as a tool for sustainable energy planning
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Enable hands-on creation of carbon dashboards with real or simulated data
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Promote transparency and traceability in emission metrics
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Support green reporting, regulatory alignment, and net-zero initiatives
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Foster a data-driven mindset in smart grid design and energy systems planning
Module 4
Workshop Structure
Module 5
Day 1: Machine Learning for Renewable Integration
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Introduction to Load Forecasting
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Basics of energy demand and load profiles
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Challenges in forecasting with renewables
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Machine Learning Models
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Time-series forecasting techniques (ARIMA, LSTM, etc.)
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Feature engineering and data preprocessing
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Case Studies & Hands-on
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Solar and wind integration forecasting projects
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Python walkthrough: Forecasting electricity demand
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Module 6
Day 2: Reinforcement Learning for Real-Time Demand Response
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Introduction to Reinforcement Learning (RL)
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Key concepts: Agent, environment, reward, policy
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RL vs. supervised learning in energy systems
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RL for Demand Response Applications
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Real-time grid balancing with DR programs
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Dynamic pricing and energy flexibility
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Simulations & Deployment
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Hands-on with OpenAI Gym & Grid simulators
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RL models for household or commercial DR control
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Module 7
Day 3: Life Cycle Assessment (LCA) & CO₂-Impact Dashboards
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Fundamentals of LCA
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Cradle-to-grave assessment of energy systems
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Key metrics: GWP, energy payback time
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CO₂ Dashboards for Monitoring Impact
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Tools & platforms for CO₂ tracking
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Dashboard design and visualization (Power BI, Streamlit)
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Practical Implementation
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Create your own carbon impact dashboard
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Use cases: Smart buildings, EVs, and microgrids
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Module 8
Intended For
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Energy engineers and sustainability managers
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ESG analysts and carbon auditors
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Data scientists working in climate-tech
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Urban planners and green infrastructure consultants
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Students (UG/PG/PhD) in energy, environment, or data analytics
Module 9
Important Dates
Module 10
Registration Ends
2025-06-08
Indian Standard Timing 7 PM
Module 11
Workshop Dates
2025-06-08 to 2025-06-10
Indian Standard Timing 8 PM
Module 12
Workshop Outcomes
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Understand the lifecycle emissions of energy technologies
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Build interactive dashboards to visualize carbon and environmental data
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Apply LCA and CO₂ modeling tools in real-world projects
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Analyze trade-offs and scenarios for energy decarbonization
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Receive certification and access to open-source templates for future use
Module 14
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 18
Industry Professional Fee
INR. 5999
USD. 90
List of Currencies
Module 19
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 20
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 21
Future Career Prospects
Participants will gain a competitive edge for roles such as:
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Carbon Data Analyst / LCA Expert
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ESG Reporting Specialist
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Net-Zero Strategy Consultant
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Sustainability Product Manager
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Energy Policy Advisor / Smart Grid Analyst
Module 22
Job Opportunities
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Renewable energy companies and utility providers
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ESG and sustainability analytics startups
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Climate-tech and green infrastructure think tanks
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Government energy planning and smart city divisions
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Academia and research institutes focused on energy transition
Module 25
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 26
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Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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