Title :
Exploring a solar photovoltaic-based energy solution for green manufacturing industry
Author :
Taboada, Heidi ; Xiong, Zhenhua ; Jin, Tongdan ; Jimenez, Jesus
Author_Institution :
Dept. of Ind., Manuf. & Syst. Eng., Univ. of Texas-El Paso, El Paso, TX, USA
Abstract :
A large amount of electricity is required to support the operation of large manufacturing facilities. Integrating renewable energy into the manufacturing industry reduces the carbon footprint and ensures the long-term sustainability. A key challenge in deploying renewable technology is the power volatility. We propose a solar photovoltaic-based co-generation system to accommodate the electricity needs of semiconductor wafer fabs. The problem is formulated as a stochastic programming model with the goal to minimize the system cost subject to the loss-of-load probability constraint. We compare the renewable energy yield and the system cost at five different wafer fabs in the U.S. Given appropriate tax incentives or equipment subsidies, the study shows that the solar-based energy solution is economically competitive in regions where the overcast days are less than 35% of the year.
Keywords :
cogeneration; incentive schemes; manufacturing industries; photovoltaic power systems; power generation economics; semiconductor industry; solar power stations; stochastic programming; carbon footprint; cogeneration system; equipment subsidies; green manufacturing industry; loss-of-load probability constraint; power volatility; renewable energy yield; semiconductor wafer fabs; solar photovoltaic based energy solution; stochastic programming model; tax incentives; Electricity; Equations; Green products; Mathematical model; Meteorology; Renewable energy resources; Substations; Distributed generation; carbon footprint; green manufacturing; solar photovoltaics; stochastic optimization;
Conference_Titel :
Automation Science and Engineering (CASE), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0429-0
DOI :
10.1109/CoASE.2012.6386321