Data & Measurement Approach

A transparent, data-driven framework to evaluate system performance, environmental impact, and long-term operational reliability.

Baseline Environmental Assessment

Each measurement cycle begins with establishing baseline environmental conditions before system operation. This includes assessing ambient air characteristics to understand natural variability and provide a reference point for performance evaluation.

Continuous Monitoring Strategy

During operation, continuous monitoring methods are employed to observe changes in air composition over extended periods. Rather than relying on isolated measurements, time-based data collection helps capture trends, stability, and operational consistency.

Performance Indicators

Performance evaluation is based on multiple indicators, including processed air volume, variation in carbon dioxide concentration, system uptime, and energy-use trends. These indicators provide a holistic understanding of system behavior without depending on single metrics.

Calibration & Data Validation

Measurement instruments are periodically calibrated to ensure accuracy and consistency. Data validation is performed through controlled testing and repeat observations, supporting reproducibility and reliability of results.

Environmental Conditions Consideration

Real-world environmental variables such as temperature, humidity, and airflow variation are considered during analysis. Accounting for these factors ensures that collected data reflects realistic deployment scenarios rather than idealized laboratory conditions.

Documentation & Reporting

All collected data is systematically documented and reviewed to support internal evaluation, iterative system improvement, and informed decision-making for pilot deployments, collaborations, and future research initiatives.