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Financial Modeling and Economics of Renewable Energy Projects

19 – 23 Jan. 2026, Abu Dhabi20 – 24 July 2026, Abu Dhabi

COURSE OVERVIEW:

The meaning of financial modeling and economics for renewable energy projects refers to the development of sophisticated Excel-based simulations and economic frameworks used to evaluate the bankability and long-term viability of wind, solar, and storage assets. This course focuses on the transition from simple payback calculations to complex "Project Finance" structures that incorporate tax equity, debt sculpting, and power purchase agreements (PPAs). By mastering these models, professionals can accurately project cash flows and determine the required "hurdle rates" for diverse renewable energy investments.

 

The scope of this training encompasses the entire project lifecycle, from initial feasibility and CAPEX/OPEX estimation to decommissioning and asset disposal. It examines the technicalities of "Levelized Cost of Energy" (LCOE) and "Levelized Cost of Storage" (LCOS), providing a standardized metric for comparing competing technologies. The course provides a deep dive into the impact of fiscal policies—such as production tax credits (PTC), investment tax credits (ITC), and feed-in tariffs—on the internal rate of return (IRR) of a project.

 

Coverage includes the analysis of revenue streams in merchant markets versus contracted markets and the modeling of curtailment and degradation risks. The course addresses the importance of "Sensitivity and Scenario Analysis" in stress-testing a project against interest rate volatility and changes in grid interconnection costs. Participants will gain practical expertise in building audit-ready financial models that facilitate successful negotiations with lenders, equity partners, and off-takers in the competitive renewable energy landscape.

 

COURSE OBJECTIVES:

After completion of this course, the participants will be able to:

  1. Construct a comprehensive project finance model for solar and wind assets.
  2. Calculate the Levelized Cost of Energy (LCOE) for diverse technologies.
  3. Design debt-sculpting mechanisms to match project cash flow profiles.
  4. Model the financial impact of tax credits (ITC/PTC) and accelerated depreciation.
  5. Evaluate the economics of Power Purchase Agreements (PPAs) vs. Merchant sales.
  6. Conduct sophisticated sensitivity analysis on key drivers like CAPEX and yield.
  7. Perform "Probability Analysis" (P50/P90) on renewable energy generation data.
  8. Structure "Equity Waterfalls" and determine shareholder returns.
  9. Assess the financial impact of grid curtailment and battery degradation.
  10. Model the economics of "Hybrid" projects (Solar plus Storage).
  11. Navigate the requirements for project bankability and due diligence.
  12. Formulate an investment memorandum based on financial model outputs.

 

TARGET AUDIENCE:

This course is designed for Investment Analysts, Project Developers, Finance Managers, Renewable Energy Consultants, Banking Professionals, and Corporate Strategists involved in energy infrastructure investment.

 

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximize the transfer of information, knowledge, and experience. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance the learning experience. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.

 

The course participants shall be evaluated before, during, and at the end of the course.

 

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants completing a minimum of 80% of the total attendance time requirement.

 

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