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Regression model to estimate the electrical energy consumption of lumber sawing based on the product, process, and system parameters
Energy Efficiency ( IF 3.1 ) Pub Date : 2020-10-17 , DOI: 10.1007/s12053-020-09907-y
Dayakar G. Devaru , Bhaskaran Gopalakrishnan

Specific energy consumption (SEC) also called energy intensity is one of the important aspects for lumber sawing sawmills since it represents the energy efficiency of the sawmill. Production, process, and energy data were gathered by visiting five sawmills out of which three sawmills had single sawing lines and two sawmills had double sawing lines. Sawmills with single and double sawing lines were selected in order to cover the different sawmill configurations. Data from sawmills 1, 2, 4, and 5 was used to develop an estimation model to estimate SEC of sawmill 3 based on the product, process, and system parameters. The independent variables that were included in the model were species, lumber sizes for the product, sawing time, maintenance schedule for the process, and motor horsepower, availability of resaw, and production line configuration for the system. Energy consumption of a motor on the demand side mainly depends on its capacity, operating hours, and load factor/efficiency ratio, and model 2 in this paper estimated SEC of a new sawmill from the product, process, and system parameters which represented the load factor/efficiency ratio when capacity and operating hours were known in the new sawmill. The product, process, and system parameters in model 3 represented motor capacity also along with the load factor/efficiency ratio and estimated SEC of a new sawmill. The developed regression models can be used to predict the sawing energy consumption of a new sawmill with reasonable accuracy.



中文翻译:

基于产品,工艺和系统参数的回归模型来估计锯木的电能消耗

比能耗(SEC)也称为能量强度,是木材锯木厂的重要方面之一,因为它代表了锯木厂的能源效率。通过访问五个锯木厂来收集生产,过程和能源数据,其中三个锯木厂有一条锯线,两个锯木厂有两条锯线。选择具有单锯线和双锯线的锯木厂,以涵盖不同的锯木厂配置。锯木厂1、2、4和5的数据用于开发估算模型,以基于产品,工艺和系统参数估算锯木厂3的SEC。模型中包含的独立变量是种类,产品的木材尺寸,锯切时间,过程的维护时间表,电机功率,再锯的可用性,和系统的生产线配置。需求方的电机能耗主要取决于其容量,运行时间和负载系数/效率比,本文的模型2根据代表负载的产品,过程和系统参数估算了新锯木厂的SEC。新锯木厂的产能和运行时间已知时的系数/效率比。模型3中的产品,过程和系统参数代表了电动机的能力以及负载率/效率比和新锯木厂的估计SEC。开发的回归模型可用于以合理的精度预测新锯木厂的锯切能耗。本文的模型2根据产品,工艺和系统参数估算了新锯木厂的SEC,这些参数代表了已知锯木厂的产能和运行时间时的负载率/效率比。模型3中的产品,过程和系统参数代表了电动机的能力以及负载率/效率比和新锯木厂的估计SEC。开发的回归模型可用于以合理的精度预测新锯木厂的锯切能耗。本文的模型2根据产品,工艺和系统参数估算了新锯木厂的SEC,这些参数代表了已知锯木厂的产能和运行时间时的负载率/效率比。模型3中的产品,过程和系统参数代表了电动机的能力以及负载率/效率比和新锯木厂的估计SEC。开发的回归模型可用于以合理的精度预测新锯木厂的锯切能耗。模型3中的系统参数代表了电动机的容量以及新锯木厂的负载系数/效率比和估算的SEC。开发的回归模型可用于以合理的精度预测新锯木厂的锯切能耗。模型3中的系统参数代表了电动机的容量以及新锯木厂的负载系数/效率比和估算的SEC。开发的回归模型可用于以合理的精度预测新锯木厂的锯切能耗。

更新日期:2020-10-17
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