Techno-Economic Microgrid Modeling Workflow built on GT-SUITE

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Techno-Economic Microgrid Modeling Workflow built on GT-SUITE

Techno-Economic Microgrid Modeling Workflow built on GT-SUITE

Session Track Sessions

The growing complexity of energy systems demands smarter, faster, and more insightful microgrid design. Whether it’s enhancing energy resilience, integrating renewables, or optimizing costs, the key lies in a simulation platform that blends physical accuracy with economic intelligence—right from the concept stage.

In this webinar, we explore a cutting-edge, techno-economic microgrid modeling workflow built on GT-SUITE. The session will demonstrate how advanced system simulation can drive data-backed decisions for both technical feasibility and financial viability.

Our discussion will cover:

  • ⚡ Actionable Techno-Economic Metrics: Real-time insights into ROI, CAGR, OPEX, CAPEX, LCOE, NPV, TCO, BEP, Renewable fraction, Emissions, Power-Split, Islanding and more… for data-driven decision-making
  • 🌦️ Realistic Multi-Year Weather Modeling & Location-Specific Energy Insights: Integrated NASA POWER API enables high-resolution solar and wind data across multiple years—tailored to any latitude/longitude for reliable energy planning
  • 🧠 Multiphysics & Multi-Fidelity Flexibility: Model subsystems using map-based/empirical, ROM or detailed physics-based approaches—scalable to your needs.
  • 🧩 Modular Fidelity Switching: Easily toggle between low and high-fidelity models to balance simulation speed and accuracy.
  • 🔋 Extensive Component Library: Includes validated and ready-to-use database of DG and battery (Li-Ion) for rapid prototyping at early stage in absence of data.
  • 💡 Custom Logic Support: Customizable rule-based controls, including dynamic ToU (Time-of-Use) tariff modeling, incentive modeling (e.g., X2G – Microgrid-to-Grid, Vehicle-to-Grid, etc.), and policy-driven scenario planning. Energy Arbitrage logic – buy low (grid), sell/use high (storage), maximizing economic benefit. Power split optimization using Equivalent Consumption Minimization Strategy (ECMS).
  • 📉 Optimization & Design Sizing: Optimize component sizing for minimum cost and maximum performance. Evaluate variability analysis for financial uncertainties.
  • 📈 Visualization-Ready Outputs: Energy Flow Sankey Diagrams, Cumulative Energy Pie Charts for energy mix and Scenario Comparison with Radar/Spider Plots for visual decision-making and much more out-of-the-box.
  • ⏱️ Lightning-Fast Simulations: Run long-term (multi-year) performance and aging simulations in just few minutes. Can also leverage distributed computing for large DOE.
  • 🌐 Interactive Web Interface: GT-Play integration for interactive demos, stakeholder engagement, and remote evaluations – accessible anytime, from anywhere.
  • 🤖 Full Workflow Automation: GT-Automations enables seamless preprocessing, model setup, execution, and results reporting – avoiding human errors.
  • 🎯 Who Should Attend: Microgrid developers, energy consultants, CAEs, R&D teams, utilities, sustainability leaders, and planning managers seeking holistic techno-economic microgrid insights.

Join Ujjwal Chopra, our domain expert, on June 11th, 2025, at 15:00 (IST) to gain insights into how GT-SUITE is revolutionizing microgrid simulation with speed, accuracy, and economic intelligence

 

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