Gradient Temperature Analysis of Hempcrete

Authors: Glenda Giordani, Rachmadian Wulandana

SUNY Campus: SUNY New Paltz

Presentation Type: Poster

Location: Old Union Hall

Presentation #: 40

Timeslot: Session D 3:00-4:00 PM

Abstract: Hempcrete is a sustainable bio-composite material composed of hemp hurds, lime-based binders, and water. Known for its carbon-negative properties, hempcrete absorbs CO₂ during hemp growth and carbonation, making it an environmentally friendly alternative for thermal insulation in construction. Its lightweight nature, breathability, and thermal performance make it a promising material for sustainable building applications. This study investigates hempcrete’s thermal conductivity and behavior through a gradient temperature experiment using a handmade test cell constructed from accessible and affordable materials. The experiment measures temperature variations across hempcrete samples to evaluate heat transfer characteristics, insulation performance, and thermal stability. The results indicate a thermal conductivity of 0.007 W/m·K, demonstrating hempcrete’s excellent insulating properties and reinforcing its potential as a high-performance, sustainable construction material. To enhance data interpretation, machine learning algorithms are employed for pattern recognition, predictive modeling, and anomaly detection in the dataset. This approach provides a comprehensive and automated analysis of hempcrete’s thermal response, improving material assessment. The findings have significant implications for the construction and energy industries, offering a data-driven evaluation of bio-based insulation materials. By demonstrating hempcrete’s effectiveness in reducing energy consumption and carbon emissions, this research supports sustainable building practices and advancements in eco-friendly materials.