Regression model to estimate the electrical energy consumption of lumber sawing based on the product, process, and syste
- PDF / 1,063,306 Bytes
- 26 Pages / 547.087 x 737.008 pts Page_size
- 13 Downloads / 179 Views
ORIGINAL ARTICLE
Regression model to estimate the electrical energy consumption of lumber sawing based on the product, process, and system parameters Dayakar G. Devaru
&
Bhaskaran Gopalakrishnan
Received: 12 January 2019 / Accepted: 2 October 2020 # Springer Nature B.V. 2020
Abstract 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
D. G. Devaru (*) Department of Industrial and Production Engineering, JSS Science and Technology University (Formerly SJCE), JSS TI Campus, Mysuru, Karnataka 570006, India e-mail: [email protected] e-mail: [email protected] B. Gopalakrishnan Department of Industrial and Management Systems Engineering, West Virginia University, 1306 Evansdale Drive, PO Box 6107, Morgantown, WV 26506-6107, USA e-mail: [email protected]
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.
Keywords Sawmill electrical energy consumption . Lumber sawing . Sawmill motors . Motor load factor . Specific energy consumption . Prediction model . Sawmill parameters
Introduction Specific energy consumption (SEC) is measured by the quantity of energy required per unit output or activity so that using less energy to produce a product reduces the energy intensity (EERE 2012). In the case of lumber manufacturing, SEC will be kilowatt-hour consumed to produce one thousand board feet of lumber. One board foot (BF) of lumber is defined as a board of size 1 ft wide by 1 ft long by 1 in. thick. SEC for a particular type of manufacturing industry helps the industry to benchmark itself against standard energy consumption or industry bests and know its level of performance and the opportunities available to im
Data Loading...
