Economic Analysis, Financing & Modelling for Renewable Energy

Course Info

Date:

2025-09-01

Length:

5 Days

Type:

Online

Fees:

£ 1750
Available DatesPrice
2025-05-05£ 1750
2025-06-02£ 1750
2025-07-07£ 1750
2025-08-04£ 1750
2025-10-06£ 1750
2025-11-03£ 1750
2025-12-01£ 1750

Course Details

  • Introduction

  • Objective

  • Who should attend

As global energy markets accelerate their shift toward decarbonization, renewable energy investments are no longer driven by environmental ideals alone—they’re financial imperatives. But while the sector promises growth, navigating its economics is anything but simple. Stakeholders must now evaluate fluctuating costs, emerging storage technologies, shifting regulatory frameworks, and new risk-sharing models. For developers, investors, and analysts alike, understanding how to build and interpret robust financial models is the key to unlocking bankable, scalable, clean energy projects.


The Economic Analysis, Financing & Modelling for Renewable Energy course is designed to bridge that critical gap. Through hands-on training with real-world data and scenario-based exercises, this course equips you with the tools to analyze, structure, and optimize the financial models that shape renewable energy ventures—from onshore wind to geothermal.

Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5

Overview of Project Finance Terms and Value Drivers in Renewable Energy


  • Exploring key project finance terms in renewable energy financial models.
  • Discussing primary drivers of value in renewable projects (e.g, technology cost, performance, etc)
  • Reviewing the capital intensity of alternative renewable technologies and their levelized cost of electricity (LCOE).
  • Identifying the influence of storage integration on achieving grid parity.
  • Examining financial model structures for evaluating parity with and without storage.
  • Exercise: Compute grid parity scenarios using sample data, comparing solar PV projects with and without battery storage.

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