Mohammad Reza Sardashti Birjandi - Department of Chemical Engineering, University of Sistan and Baluchestan, P.O. Box ۹۸۱۶۴-۱۶۱, Zahedan, Iran.
Taha Ghiyami - Department of Chemical Engineering, University of Sistan and Baluchestan, P.O. Box ۹۸۱۶۴-۱۶۱, Zahedan, Iran.
Ramin Keynejad - Department of Chemical Engineering, University of Sistan and Baluchestan, P.O. Box ۹۸۱۶۴-۱۶۱, Zahedan, Iran.
Farhad Shahraki - Department of Chemical Engineering, University of Sistan and Baluchestan, P.O. Box ۹۸۱۶۴-۱۶۱, Zahedan, Iran.

Carbon dioxide (CO2) as a greenhouse gas plays a vital role in global warming and climate change. One of the sources of CO2 emission is refinery industry, which burn fossil fuels. In this paper, bysurveying and minimizing total CO2 emissions of hydrogen network as one of the refinery units,applies the mathematical estimation approach for CO2 emission of CO2 sources is optimized a hydrogen network. Based on this optimization, in an Iranian refinery hydrogen network and for thiscase study nonlinear programming (NLP) model is developed. The results of optimized hydrogennetwork indicated that total annual cost, and CO2 emissions emitted of hydrogen network have been decreased 22.4% and 29.1%, respectively.

CO2 emission, Hydrogen management, Refinery, Optimization, nonlinear programming, hydrogen network