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Use case: Tracking the performance of renewable energy projects

Discover how improved financial models and automation can transform financial processes for renewable energy firms. 

Challenges

Across the renewable energy sector, companies often experience growing pains as they scale. Managing dozens of portfolios through manual worksheets creates a cumbersome and error-prone environment. Without efficient, repeatable processes, teams struggle to track project performance and produce timely budget-versus-actual reports. Recurring reporting is rarely automated, and critical financial insights, such as variance analysis, member-level IRR, and KPI tracking, are often missing across financial tools. These limitations slow decision-making and increase operational risk. Tracking models are essential for understanding project performance and enabling timely adjustments to optimize real-world conditions.

Solution

To overcome these challenges, leading firms are implementing high-efficiency financial models that automate core processes for tracking project and member returns. These models ingest actuals with built-in mappings and validation to increase accuracy and consistency. By leveraging tools such as VBA and Power Query, repetitive tasks are transformed into streamlined, automated workflows. These tracking models also incorporate book-to-tax adjustments and standardized member allocations, as well as capital account calculations to automate tax-related estimates. With these enhancements, companies gain access to comprehensive reporting, including budget-versus-actual comparisons, after-tax returns, and variance analysis at both project and portfolio levels. This can also unlock the ability to compare key performance indicators such as CFADS, DSCR, and generation metrics across the company’s portfolio, which is often inconsistently performed for many companies.

Target Business Breakthroughs

By tracking models, renewable energy companies can:

  • Gain actionable insights with timely, accurate financial and performance reporting.
  • Scale operations efficiently by replacing manual workflows with automation.
  • Reduce risk and errors through standardized processes and validations.
  • Understand performance, monitor project health, and partner returns for timely reporting.
  • Save significant time and costs, freeing resources for strategic growth initiatives.


By automating tracking models, renewable energy companies unlock timely insights for smarter decisions, enabling faster reporting, deeper visibility, and more strategic portfolio management.

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michael ruth

Michael Ruth

Director, Project Finance and Consulting
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