Solar Farm Development Model – Excel XLSM

BENEFITS OF THIS DOWNLOADABLE EXCEL DOCUMENT

1. Project IRR & NPV
2. Equity IRR & NPV
3. DSCR (Debt Service Coverage Ratio)

ENERGY INDUSTRY EXCEL DESCRIPTION

Editor Summary Solar Farm Development Model is an XLSM Excel template (with supplemental DOCX) by Fin‑Wiser Advisory for assessing Build & Operate solar PV farms or rooftop projects, with forecasting up to 70 years. Read more Core deliverables include an automated tariff calculator (tariff back‑calculated to hit desired Equity IRR), integrated 3 financial statements, cash waterfall, optimizer tool, detailed sensitivity analysis, debt scenarios (annuity and sculpted), and outputs like Project/Equity IRR, NPV, DSCR, and LCOE; available on Flevy with immediate digital download.

Use this model when you must evaluate or present the project finance viability of a solar PV or rooftop project across construction and operations timelines, including tariff-setting and debt structuring.

  Project finance analysts testing how tariff levels affect investor returns by back‑calculating tariff for a target Equity IRR and running sensitivity scenarios.
  Renewable developers sizing funding needs and cash flows by modeling construction cost phasing, working capital, and funding in a user‑defined debt:equity ratio.
  Infrastructure investors or investment bankers stress‑testing debt service under annuity versus sculpted repayment using DSCR constraints.

The model’s integrated three‑statement projections, DSCR‑based sculpting, and sensitivity/optimizer tools follow standard project‑finance modelling practice.

"Solar Farm Development Model with Integrated Financial Statement, Cash Waterfall and Automated Tariff"

Solar Farm Excel Model Template is an excellent tool to assess the financial feasibility of a proposal to Build and Operate a Solar PV Farm/Plant or a Solar rooftop project. The financial model is built with a flexible annual timeline and can be used for forecasting up to 70 years considering both construction and operations period phases.

The model includes an automated mechanism to calculate the tariff based on desired Equity IRR and expected cost inputs.

The Model includes assumptions related to:

1. Revenue calculation: This is based on the Tariff which is back-calculated based on desired Equity IRR and operational capacity.
2. Cost calculation: Total Cost is divided into two parts:
a. Construction Cost: This includes construction cost which is proportionately spread over the construction period.
b. Operating Cost: This includes Fixed and variable operating Cost and General & Administrative (G&A) Cost which is a fixed annual cost.

3. Funding requirement is calculated based on the Total Construction Cost and Interest and fees during construction. The total cost is funded in Debt Equity Ratio as defined by the user. Debt repayment can be calculated using the following scenarios:
a. Annuity Payment: This refers to equated monthly payments over the life of the Debt obtained.
b. Sculpted: This method calculates the repayment of debt based on sculpted cash flows available based on the defined Debt Service Coverage Ratio (DSCR).

4. Other Model Calculations include:
a. Model Flags
b. Inflation/Indexation factor
c. Working Capital Requirement
d. Corporate Tax.

Model Output includes:
1. Project IRR & NPV
2. Equity IRR & NPV
3. DSCR (Debt Service Coverage Ratio)
4. Levelized Cost of Energy (LCOE)
5. Equity Payback Period
6. Cash Waterfall
7. Integrated Three Financial Statement

Technical Specifications:
1. Model uses Macros (VBA) especially to calculated the Tariff Based in Desired Equity IRR. To run the model optimally, keep macros enabled. In case you do not like Macros, you could manually disable or remove the Macros and will have to rework the model's logic to be used without Macros but it is not recommended by the author.
2. Model is built using Microsoft Excel 2019 version for Windows. Please note, on certain Mac laptops or MS Excel prior to 2007, Excel with Macros can slow down your computer if your PC does not have enough processing power.
3. We advise not to delete or insert rows and columns into the model if you are not aware of the model structure as it can distort model functioning. If you need assistance with customizing the model template, the author is more than willing to help you.
4. Model uses Cell Styles

The model features a comprehensive optimizer tool for fine-tuning project parameters to achieve desired financial outcomes. It also includes detailed sensitivity analysis to evaluate the impact of key variables on project viability.

TOPIC FAQ

What are the key components of a financial model for a solar farm?

A solar farm financial model typically contains revenue logic (tariff inputs or back‑calculation to a target Equity IRR), separate construction and operating cost schedules, funding requirement and debt split, debt repayment mechanics, integrated income/cash/BS projections, cash waterfall and outputs such as Project IRR & NPV, Equity IRR & NPV, DSCR and LCOE.

How can tariff be set to meet investor return targets in a solar project model?

Tariff can be back‑calculated by iterating tariff levels until the modeled Equity IRR meets the desired target, accounting for operational capacity and cost assumptions; the Solar Farm Development Model automates this process using a VBA macro to derive tariff consistent with a target Equity IRR.

What debt repayment methods should I consider when modeling solar project finance?

Two common repayment approaches are annuity (level periodic payments over debt life) and sculpted repayment, where principal schedules are sized to maintain a target Debt Service Coverage Ratio (DSCR). The model supports both methods, including sculpted repayment driven by defined DSCR assumptions.

Which variables are most important to include in sensitivity analysis for a solar farm?

Sensitivity analysis should cover tariff levels, construction (CAPEX) assumptions, operating costs (fixed and variable), inflation/indexation and working capital, since each materially affects cash flows, DSCR and returns; the referenced model provides detailed sensitivity analysis on tariff, construction cost and DSCR.

What should I look for when choosing a pre‑built solar farm financial model?

Evaluate timeline flexibility, automated tariff or IRR tools, supported debt repayment scenarios (annuity and sculpted/DSCR), integrated three‑statement outputs, cash waterfall, sensitivity and optimizer capabilities, and Excel compatibility; Flevy’s Solar Farm Development Model lists an optimizer tool and integrated 3 financial statements as core features.

What limitations or compatibility issues should I watch for with Excel modelling templates?

Check whether the workbook uses macros (VBA), required Excel version (this model targets Excel 2019 for Windows), and any warnings about performance on older Excel or Mac systems; also avoid inserting/deleting rows or columns unless you understand model structure, since those actions can break formulas in an XLSM file requiring Excel 2019 and macros.

I’m evaluating a rooftop solar pilot — which model features matter most for a small project?

For rooftop pilots prioritize tariff calculation tied to desired returns, clear separation of construction versus operating costs, short‑ and long‑term cashflows, working capital and tax treatment, and the ability to run sensitivity tests and compute LCOE; the model’s tariff automation and LCOE output help assess pilot viability.

Which model outputs are most useful for investor or lender presentations?

Investors and lenders typically expect Project IRR & NPV, Equity IRR & NPV, DSCR time series, LCOE, equity payback period, and a cash waterfall showing priority of payments; include integrated 3 financial statements and concrete metrics such as Equity IRR & NPV, DSCR and LCOE.

Source: Best Practices in Energy Industry, Renewable Energy, Solar Energy, Integrated Financial Model Excel: Solar Farm Development Model Excel (XLSM) Spreadsheet, Fin-Wiser Advisory