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Estimating the impact of crops on peak loads of a Building-Integrated Agriculture space

机译:估算作物对建筑综合农业空间峰值负荷的影响

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摘要

In a building-integrated agriculture (BIA) space, peak loads must be estimated to size HVAC equipment in order to maintain indoor air conditions that enhance crop growth. However, the estimation of the rates of heat gain/loss induced by the crops and their impact on heating and cooling loads have only been sparsely addressed. The present study proposes a workflow to estimate the impact of crops on a BIA space peak loads. The building, BIA space and crops - lettuces - are modeled in TRNSYS 18, while loads for design day conditions are assessed by completing a parametric study that varied the cultivated density (CD), the indoor air conditions (temperature and humidity) and the leaf area index (LAI) of the crops. Compared to the baseline peak loads, the estimated sensible heating and latent cooling peak loads of the BIA space at the highest CD for a LAI of 2.1 are 3.6 to 3.7 and 1.1 to 2.1 times higher, while being 13.3 to 14.0 and 6.0 to 9.9 times higher for a LAI of 10. The results show the importance of considering crops in estimating peak loads to size HVAC equipment and promote crop yield.
机译:在建筑物综合农业(BIA)空间中,必须估计峰值负荷,以便维持增强作物生长的室内空气条件。然而,估计作物引起的热量增益/损失率及其对加热和冷却载荷的影响仅被稀疏地解决。本研究提出了一种工作流程来估计作物对BIA空间峰值负荷的影响。建筑物,BIA空间和作物 - 莴苣 - 在Trnsys 18中进行建模,而设计日条件的负载是通过完成变化培养密度(CD),室内空气条件(温度和湿度)和叶片的参数研究来评估作物的区域指数(赖)。与基线峰值载荷相比,莱铂的最高CD的BIA空间的估计明智的加热和潜冷峰值负荷为3.6至3.7%至1.1至2.1倍,同时为13.3至14.0和6.0至9.9倍赖为10的含量更高。结果表明,考虑作物估算峰值载荷的重要性,并促进作物产量。

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