TY - GEN
T1 - Evaluating and reducing production impact on HVAC cooling load
AU - Brundage, Michael P.
AU - Chang, Qing
AU - Arinez, Jorge
AU - Longtin, Jon
AU - He, Tao
N1 - Publisher Copyright: © 2015 IEEE.
PY - 2015/10/7
Y1 - 2015/10/7
N2 - Reducing the production impact on the cooling load is pertinent in minimizing overall energy usage within the manufacturing environment. This paper expands upon previous research to analyze the complex energy dynamics of the production line and evaluate the effect of the production on the cooling load for the heating, ventilation, and air conditioning system. The radiant time series method is utilized to estimate the radiative heat load, which allows for the calculation of the cooling load caused by each individual machine on the production line. To reduce the overall cooling load, an opportunity window control scheme is employed that allows for certain machines to be turned off without affecting production. This control scheme leads to a reduction in energy consumption and cooling load for the manufacturing facility. Simulation studies are performed using Simulink/MATLAB to validate the cooling load analysis and the opportunity window control methodology.
AB - Reducing the production impact on the cooling load is pertinent in minimizing overall energy usage within the manufacturing environment. This paper expands upon previous research to analyze the complex energy dynamics of the production line and evaluate the effect of the production on the cooling load for the heating, ventilation, and air conditioning system. The radiant time series method is utilized to estimate the radiative heat load, which allows for the calculation of the cooling load caused by each individual machine on the production line. To reduce the overall cooling load, an opportunity window control scheme is employed that allows for certain machines to be turned off without affecting production. This control scheme leads to a reduction in energy consumption and cooling load for the manufacturing facility. Simulation studies are performed using Simulink/MATLAB to validate the cooling load analysis and the opportunity window control methodology.
KW - Energy Efficiency Improvement
KW - Energy Waste Reduction
KW - HVAC Cooling Load
KW - Integrated HVAC and Production System
KW - Radiant Time Series Method
UR - https://www.scopus.com/pages/publications/84952768193
U2 - 10.1109/CoASE.2015.7294064
DO - 10.1109/CoASE.2015.7294064
M3 - Conference contribution
T3 - IEEE International Conference on Automation Science and Engineering
SP - 212
EP - 217
BT - 2015 IEEE Conference on Automation Science and Engineering
PB - IEEE Computer Society
T2 - 11th IEEE International Conference on Automation Science and Engineering, CASE 2015
Y2 - 24 August 2015 through 28 August 2015
ER -