Simulation and Optimization of Tehran Oil Refinery Steam Network in view of Exergetic, Exergoeconomic and Environmental Analysis

Document Type: Research Paper

Authors

1 Energy & Water Conservation Research Lab, Division of Thermal Science & Energy Systems, Department of Mechanical Engineering, Faculty of Technology & Engineering, University of Qom, Qom, Iran

2 Energy and Water Conservation Research Lab, Division of Thermal Science and Energy Systems, Department of Mechanical Engineering, Faculty of Engineering and Technology, University of Qom, Qom, Iran

Abstract

Due to the importance of energy consumption in a steam network of oil refinery as a significant unit, present study is concerned with the optimization of an oil refinery steam network. Here, the attempt was made to use concepts such as first and second thermodynamic laws, thermo-economic, environmental and economic discussions to investigate three different scenarios about Tehran refinery steam network. The first scenario was a base case in which boiler efficiency was 67%. The second scenario was the same as the first scenario, except that boilers efficiency was 86%. The third scenario was also similar to the base one. However, the difference was that one of the boilers was eliminated from the site. Instead, two gas turbines with heat recovery steam generator were introduced and the boiler efficiency was 86%. The obtained results showed that the annual cost of second and third scenarios fell to the rate of 22% and 42% respectively compared to the first scenario. To carry out thermodynamic modeling of some equipment such as steam turbines, gas turbines, and thermal recovers, Star software was utilized.
In this paper, there has been an attempt to use concepts such as first and second thermodynamic laws, economic, exergoeconomic, environmental discussions in order to investigatethree different scenarios around Tehran refinery steam network.
Finally, the annual cost of second and third scenarios has fallen down to the rate of 22% and 42% respectively compared to the first scenario. In order to carry out thermodynamic modelling of some equipment such as steam turbines, gas turbines and thermal recovers, Star software was utilized.

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[1]          Aguilar, S. Perry, J. Kim, R.Smith, “Design and Optimization of Flexible Utility Systems Subject to Variable Conditions part 1: Modeling Framework,” Chemical Engineering Research and Design, vol. 85, pp. 1136-1148, 2007.

[2]          M.R. Jafari Nasr,J.A.H. Khodaei, “CO2 Reduction through Optimization of Steam Network in Petroleum Refineries: Evaluation of New Scenario,” presented at 30th International Conference of Industrial Energy Engineering (IETC), Texas, USA, 2008.

[3]          M.R. Jafari Nasr,J.A.H. Khodaei, “An Optimization Approach to Refinery Steam Management with Consideration Of CO2 Emission,” Journal of Petroleum Science and Technology, 4(1), pp. 73-84, 2014.

[4]          Z. Li, L. Zhao, W. Du, F. Qian, “Modeling and Optimization of the Steam Turbine Network of an Ethylene Plant,” Chinese Journal of Chemical Engineering, 21(5), pp. 520-528, 2013.

[5]          S.G. Beangstrom, T. Majozi, “Steam system network synthesis with hot liquid reuse: II. Incorporating shaft work and optimum steam levels,” Computers & Chemical Engineering, 85(SupplementC), pp. 202-209, 2016.

[6]          J. Cumpston, J. Pye, “Exergoeconomic optimisation of steam networks connecting solar-thermal dish arrays. Solar Energy,” 119(Supplement C), pp. 383-398, 2015.

[7]          H. Wang, H. Wang, T. Zhu, W. Deng, “A novel model for steam transportation considering drainage loss in pipeline networks,” Applied Energy, 188(Supplement C), pp. 178-189, 2017.

[8]          STAR Software, Version 2, Center for Process Integration, School of Chemical Engineering & Analytical Science, University of Manchester, UK, 2009.

[9]          R. Smith, “Chemical Process Design and Integration,” NewYork: John Wiley and Sons, 2005.

[10]       A. Bejan, G. Tatsaronis, M.J. Moran. “Thermal Design and Optimization”, NewYork: John Wiley and Sons, 1996.

[11]       Chemical Engineering, Start online account with the exclusive Online Plant Cost Index, Internet: http://www.chemengonline.com/pci/

[12]       Environmental Protection Agency (EPA), Emissions Factors & AP-42, Compilation of Air Pollutant Emission Factors, Internet: http://www.epa.gov/ttnchie1/ap42/