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Microgrid Component Sizing and Techno-economic Feasibility Studies

Overview

This webinar presents a techno-economic analysis of microgrids, integrating technical and economic assessments to evaluate their feasibility and performance. Microgrids incorporate various distributed energy resources (DERs) such as solar, wind, generators, storage systems, and controllable loads. The analysis identifies optimal configurations and operations to meet energy demand at minimal cost, considering technical parameters (e.g., generation ratings, storage capacity) and economic factors (e.g., capital, operational, and fuel costs, incentives, and revenue). Financial metrics like net present value (NPV), internal rate of return (IRR), and payback period are used to assess economic viability. The webinar also covers optimisation techniques for resource sizing and scheduling, accounting for technical, regulatory, and environmental constraints. Additionally, sensitivity analysis will be discussed to identify key factors affecting performance and cost. Key performance indicators—energy efficiency, cost savings, return on investment (ROI), and environmental impact—will be evaluated to guide stakeholders in microgrid implementation decisions.

Highlights

Attendees will learn:

  • How to evaluate microgrid feasibility and performance by combining technical parameters (like generation and storage capacity) with economic factors (such as capital and operational costs, incentives, and revenue).
  • Methods for optimally sizing and scheduling distributed energy resources using optimisation techniques, and how to assess economic viability using financial metrics such as net present value (NPV), internal rate of return (IRR), and payback period.
  • How to identify and evaluate key performance indicators—including energy efficiency, cost savings, ROI, and environmental impact—and use sensitivity analysis to understand the main factors influencing microgrid performance and cost.

About the Presenter

Dr Muhammad Ali is an Application Engineer at MathWorks and works closely with Simulink and Simscape customers to understand their business objectives and ensure that they are getting the most value out of our products and services. Ali has a background in renewable energy integration, microgrids, battery management systems and retrofitting existing aircraft into electric. He did his PhD from UNSW Australia where he got the opportunity to work on dispatchable inverter control techniques for microgrids, and testing off-the-shelf PV inverters while working (in partnership with AEMO) on an ARENA funded project.

Product Focus

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