• DocumentCode
    2600171
  • 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
  • fYear
    2012
  • fDate
    20-24 Aug. 2012
  • Firstpage
    40
  • Lastpage
    45
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • ISSN
    2161-8070
  • Print_ISBN
    978-1-4673-0429-0
  • Type

    conf

  • DOI
    10.1109/CoASE.2012.6386321
  • Filename
    6386321