Dataset on thermal conductivity of composted olive cake (COC)

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-09-19 DOI:10.1016/j.dib.2024.110939
Adnan Khdair
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Abstract

Thermal properties play a critical role in the compost used as a soil amendment for different agricultural applications especially for green roof buildings. Despite this importance, there remains insufficient information on thermal conductivity of composted olive cake (COC), K, and how it is influenced by bulk its density and water content. This shows how thermal conductivity (K) is affected by these two parameters and the potential use of COC as cheap padding in geothermal heat storage and green roof building applications. Thermal conductivities of 30 samples of (COC) were measured experimentally at different moisture contents and bulk densities using a hot wire technique. The results revealed that thermal conductivity exhibits a linear increase as both bulk density and water content increased. It increased from 0.10 to 0.60 W/(m K) at saturation levels ranging from dry to 90 %. The highest thermal conductivity of 0.60 W/m K was revealed at a water content of 90 %. Therefore, (COC) might be used as an inexpensive padding in geothermal heat storage applications and as an eco-friendly insulation pad in green- roof buildings, leading to passive energy savings. Overall, the study provides important insights into the thermal properties of COC and its potential as a sustainable insulation material.
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堆肥橄榄油(COC)导热性数据集
堆肥作为土壤改良剂用于不同的农业应用,尤其是屋顶绿化建筑,其热能特性起着至关重要的作用。尽管如此,关于堆肥橄榄油(COC)的导热性(K)及其如何受体积密度和含水量的影响的信息仍然不足。本文介绍了导热系数(K)如何受这两个参数的影响,以及 COC 作为廉价填充物在地热储存和绿色屋顶建筑应用中的潜在用途。在不同含水量和体积密度条件下,使用热线技术对 30 个 COC 样品的导热系数进行了实验测量。结果表明,随着体积密度和含水量的增加,导热系数呈线性增长。在饱和度从干到 90% 的情况下,导热系数从 0.10 W/(m K) 增加到 0.60 W/(m K)。含水量为 90% 时,热导率最高,为 0.60 W/m K。因此,(COC)可用作地热储存应用中的廉价填充物,以及绿色屋顶建筑中的环保隔热垫,从而实现被动式节能。总之,这项研究为了解 COC 的热性能及其作为可持续隔热材料的潜力提供了重要依据。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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