Automated Solar Data Aggregator for Excel

Problem Context

Solar energy analysts work with 15-minute interval data in Excel but need daily totals for reporting. They rely on manual OFFSET formulas to sum 96 rows at a time, but these formulas break when scaled to thousands of rows. The current workaround fails, forcing them to either accept inaccurate data or waste hours on manual calculations.

Pain Points

The OFFSET formula only moves one row at a time instead of the required 96, forcing analysts to either accept partial sums or manually process 32,000+ rows. This creates errors in financial models, delays reporting, and wastes billable hours. Users have tried adjusting the formula but can't make it work at scale without breaking other dependencies.

Impact

Inaccurate daily totals lead to wrong capacity planning, financial misreporting, and lost revenue from inefficient operations. The manual work consumes 5-10 hours per week per analyst, directly cutting into project profitability. Teams miss deadlines because they can't trust their aggregated data until it's manually verified.

Urgency

This isn't a 'nice-to-have'—it's a workflow blocker that stops revenue-generating analysis. Solar companies can't make informed decisions without accurate daily aggregates, and every day spent fixing manual errors is a day not spent on high-value work. The problem gets worse as datasets grow, making it unsustainable without automation.

Target Audience

Solar energy analysts, renewable energy data processors, and financial modelers in the clean energy sector. Also affects environmental consultants, grid operators, and battery storage system managers who work with time-series energy data. Any professional handling 15-minute interval data that needs daily aggregation faces this exact problem.

Solution Approach

A specialized Excel add-in that automatically aggregates 15-minute interval data into daily totals without manual formulas. It replaces broken OFFSET functions with a one-click solution that handles any number of rows while preserving all dependencies. The tool works inside Excel (no data export needed) and adapts to different time intervals (15min, 30min, hourly).

Key Features

One-click daily aggregation that sums exactly 96 rows (or any custom interval) per day without formula errors. Drag-and-drop interface to select data ranges and output cells. Automatic handling of partial days (e.g., last day of dataset). Option to export aggregated data to CSV or connect to external systems. Works with any Excel version (2016+) and doesn't require admin rights.

User Experience

Analysts select their 15-minute data range, choose the output cell, and click 'Aggregate'. The tool instantly processes all rows, showing daily totals while keeping the original data intact. No formulas to break, no manual copying—just accurate daily aggregates in seconds. For recurring needs, they can save the aggregation as a template for future use.

Differentiation

Unlike generic Excel tools, this solves the specific solar data aggregation problem that OFFSET fails on. It preserves all existing Excel dependencies (charts, pivot tables) while fixing the core issue. The one-click approach is 100x faster than manual methods and more reliable than VBA macros. No need to learn new software—it works where analysts already work: inside Excel.

Scalability

Starts with basic daily aggregation but can expand to handle weekly/monthly totals, multiple data sources, and API integrations. Users can add more time series (e.g., wind data) later. The add-in model allows for per-user pricing that scales with team size. Future versions could include predictive analytics for solar forecasting.

Expected Impact

Saves 5-10 hours per week per analyst by eliminating manual aggregation. Eliminates errors in financial models and capacity planning. Enables faster decision-making with accurate daily data. Reduces project delays caused by data verification bottlenecks. Lowers operational costs by automating repetitive work.