Comparing regional stove-usage patterns and using those patterns to model indoor air quality impacts

Area of Science:

• Household energy interventions
• Environmental health
• Developing country studies

Background:

• Monitoring cookstove adoption and usage is key to assessing health and environmental impacts.
• Field studies were conducted in China, Honduras, India, and Uganda.

Purpose of the Study:

• To analyze stove-usage monitor (SUM)-derived data on cookstove usage across four countries.
• To compare sensor-based usage data with self-reported data.
• To model kitchen air quality (PM2.5 and CO) under different clean cookstove adoption scenarios in India.

Main Methods:

• Utilized stove-usage monitors (SUMs) to collect data on cookstove usage duration.
• Compared SUM data with survey-based user data in Honduras.
• Employed a single-zone Monte Carlo box model to estimate kitchen-level pollutant concentrations (PM2.5, CO) in Indian homes, using International Standards Organization (ISO) guidelines for clean cookstove performance.

Main Results:

• Traditional stove usage patterns were similar across China, Honduras, India, and Uganda, averaging 171-257 minutes/day for most-used stoves.
• Modest agreement was observed between sensor data and self-reported usage in Honduras.
• Modeling in India indicated that even with 75% adoption of the cleanest stoves (ISO tier-5), World Health Organization (WHO) 24-hour PM2.5 standards were exceeded in 96.4% of scenarios.

Conclusions:

• Cookstove usage habits show cross-country similarities.
• Discrepancies exist between sensor-derived and self-reported cookstove usage data.
• Full displacement of traditional stoves is essential to meet air quality standards, as partial adoption of even the cleanest stoves is insufficient.