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Consumer Grade Weather Stations for Wooden Structure Fire Risk Assessment
1Department of Fire Safety and HSE Eng., Glö∂ R&D, Western Norway University of Applied Sciences, 5528 Haugesund, Norway. torgrim.log@hvl.no.
Sensors (Basel, Switzerland)
|September 29, 2018
Summary
Low-cost weather stations accurately measured indoor relative humidity (RH) during cold spells, identifying increased fire risks in wooden homes. This technology aids in assessing dry wood structural fire hazards.
Area of Science:
- Environmental Science
- Building Science
- Fire Safety Engineering
Background:
- Unusually cold and dry weather in Norway during January 2014 led to critically low indoor relative humidity (RH) in heated wooden homes.
- This low RH resulted in dry wood, a significant factor in Norway's two most severe accidental fires since 1923.
Purpose of the Study:
- To evaluate the efficacy of low-cost, consumer-grade weather stations for monitoring temperature and relative humidity.
- To assess the potential of these stations as a proxy for evaluating dry wood structural fire risk.
Main Methods:
- Calibration of weather station relative humidity (RH) sensors using saturated salt solutions (LiCl, MgCl₂, NaCl) across an 11%-75% RH range.
- Deployment of calibrated weather stations in the living rooms of eight wooden buildings during the 2015/2016 winter.
- Comparison of outdoor sensor data with a local meteorological station and humidity forecasts.
Main Results:
- Calibrated weather stations demonstrated accuracy within ±3% RH.
- A period of significantly increased fire risk was identified in January 2016 based on recorded indoor conditions.
- Outdoor sensor data correlated well with meteorological station readings, with localized variations noted (e.g., proximity to the sea).
Conclusions:
- Low-cost weather stations provide reliable measurements for indoor RH and temperature.
- This technology can serve as a valuable tool for assessing dry wood fire risk in residential buildings.
- Weather station data and forecasts show promise for early fire risk identification.
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