Solar Providers

Solar System Sizing

Optimal Solar System Sizing Based on Usage Data

Oversized solar systems waste money while undersized systems miss savings opportunities. Fiskil recommends optimal system size based on actual usage data.

Wrong System Size Reduces Solar ROI

Generic sizing recommendations lead to oversized or undersized systems, reducing return on investment.

  • Oversized systems cost more with minimal additional benefit

  • Undersized systems miss savings opportunities

  • Generic "average household" sizing doesn't fit actual needs

  • Export rates much lower than retail rates

  • Difficult to optimise self-consumption vs export

Usage-Optimized System Sizing

Recommend system size that maximizes ROI by optimizing self-consumption and minimizing low-value export.

Consumption-Based Sizing

Size system based on actual daytime consumption patterns.

Self-Consumption Optimisation

Optimize system size to maximize valuable self-consumption.

ROI Comparison

Compare ROI across different system sizes to identify optimal investment.

Future Consumption Planning

Factor in planned changes like EV purchase or pool installation.

How to Implement Solar System Sizing

Add intelligent sizing recommendations to your solar quoting process.

1

Analyze Usage Patterns

Access 12 months of usage data to understand consumption patterns.

2

Model System Sizes

Model performance of different system sizes (3kW, 5kW, 6.6kW, 10kW).

3

Calculate Optimal Size

Identify system size with best ROI considering self-consumption and export.

4

Present Recommendation

Present optimal size with comparative analysis of alternative sizes.

Key Features

Daytime Usage Analysis

Analyze daytime consumption when solar generates for self-consumption optimisation.

Multiple Size Comparison

Compare costs, savings, and ROI across standard system sizes.

Export Impact Modeling

Show how much valuable self-consumption vs low-value export for each size.

Future Load Planning

Factor in EV charging, pool, or other planned additions to consumption.

Roof Capacity Integration

Respect roof capacity limits while optimizing size.

Battery Sizing

Recommend battery size if adding storage for increased self-consumption.

Real-World Examples

Solar Installer

An installer uses usage data to size systems optimally.

Result: Customer ROI improved average of 1.2 years faster with optimised sizing.

Solar Marketplace

A marketplace recommends system sizes based on connected usage data.

Result: Quote accuracy improved, reducing post-install complaints by 60%.

Energy Consultant

A consultant optimises solar sizing for commercial properties.

Result: Commercial clients achieve 18% better ROI through optimised system sizing.

Technical Specifications

API Endpoints

  • GET /energy-accounts/{accountId}/daytime-usage
  • POST /solar/recommend-size
  • POST /solar/compare-system-sizes
  • POST /solar/roi-analysis

Data Types

  • Annual consumption

  • Daytime usage patterns

  • Recommended system size

  • Self-consumption rates by size

  • ROI by system size

  • Payback periods

Authentication

OAuth 2.0 / CDR consent

Real-Time Data

Yes

Frequently Asked Questions

Size that maximizes ROI by balancing system cost against self-consumption value and export value.

Exported energy earns 5-10c/kWh while self-consumed energy saves 25-35c/kWh, so bigger isn't always better.

Planned additions (EV, pool) can be factored into sizing recommendation.

Using actual usage data provides highly accurate sizing compared to generic household estimates.

Yes, batteries enable larger systems by storing excess for evening use instead of exporting.

Sizing accounts for annual patterns, optimizing for year-round performance.

Lower export rates favor smaller systems maximizing self-consumption vs larger systems with excess export.

Ready to Get Started?

Join hundreds of companies using Fiskil to power their solar providers applications. Get started today with our developer-friendly API.

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