Iranian Chemical Engineering Journal

Iranian Chemical Engineering Journal

Reducing Economic and Environmental Costs in the North Utility Plant of Tehran Oil Refinery Using MINLP

Document Type : Original Article

Authors
1 MSc. in Chemical Engineering, University of Tehran
2 Associate Professor of ChemicalEngineering, University of Tehran
3 Professor of Chemical Engineering, University of Tehran
Abstract
In this research, a new approach was proposed to analyze water, energy and environment in the north utility plant of Tehran Oil Refinery. Operating costs were defined as an economic objective function and five scenarios were examined, including the elimination of some equipment such as boilers and turbines. By removing equipment that operates at minimal capacity, increasing the efficiency of other equipment and importing electricity, a 1-23% saving in operational costs can be achieved. Subsequently, the addition of an organic Rankine cycle to the existing equipment was proposed as a scenario aimed at reducing both economic costs and environmental impacts. The environmental objective function was presented based on life cycle assessment methods, and the multi-objective optimization of the refinery's steam network was performed using the e-constraint method. The results showed that
the minimum amount of operating costs is equal to 35.09 M$/y, while the most environmental effects are observed at this point (24.68 MPt/y). On the other hand, the minimum value of the environmental objective function is equal to 20.68 MPt/y, while the operating costs of the unit reach their highest value, that is, 35.26 M$/y. The final selection, in terms of prioritizing the importance of each objective function, rests with the decision-makers based on the existing conditions. The scenario of adding the organic Rankine cycle with a payback period of 5 years is a suitable solution for generating part of the power demand of the network with a lower operating cost and reducing environmental effects.
Keywords
Subjects

[1]        Micheletto, S. R., Carvalho, M. C. A., and Pinto, J. M., (2008), Operational optimization of the utility system of an oil refinery, Computers & Chemical Engineering, 32(1), 170-185.
[2]        Chen, C. -L., Lin, C. -Y., and Lee, J. -Y., (2013), Retrofit of steam power plants in a petroleum refinery, Applied Thermal Engineering, 61(1), 7-16.
[3]        Zhao, H., Rong, G., and Feng, Y., (2015), Effective solution approach for integrated optimization models of refinery production and utility system, Industrial & Engineering Chemistry Research, 54 (37),9238-9250.
[4]        Xu, T., Li, T., Long, J., Zhao, L., and Du, W., (2023), Data-driven multi-period modeling and optimization for the industrial steam system of large-scale refineries, Chemical Engineering Science, 282(2), 119112.
[5]        Kim, S. H., Yoon, S. G., Chae, S. H., and Park, S., (2010), Economic and environmental optimization of a multi-site utility network for an industrial complex, Journal of Environmental Management, 91(3), 690-705.
[6]        Luo, X., Zhang, B., Chen, Y., and Mo, S., (2012), Operational planning optimization of multiple interconnected steam power plants considering environmental costs, Energy, 37 (1), 549-561.
[7]        Zhang, Q., Zhao, T., Ni, T., and Gao, J., (2021), Optimization models for operation of a steam power system in integrated iron and steel works, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 43(9), 1100-1114.
[8]        Hosseini, S. M., (2017), A methodology for the design of an integration system for water capturing, carbon capture, and heat recovery from flue gas in power plants, M.Sc. Thesis, Sharif University of Technology, Iran.
[9]        Xu, T., Li, T., Long, J., Zhao, L., and Du, W., (2023), Data-driven multi-period modeling and optimization for the industrial steam system of large-scale refineries, Chemical Engineering Science, 282, 119112.
[10]      Akhlaghi, N., and Darzi, G., (2022), A review on effective processes in biodiesel production using microalgae, Journal of Iranian Chemical Engineering, 21(122), 63-76.
[11]      Luo, X., Hu, J., Zhao, J., Zhang, B., Chen, Y., and Mo, S., (2014), Multi-objective optimization for the design and synthesis of utility systems with emission abatement technology concerns, Applied Energy, 136, 1110-1131.
[12]      Wu, L., Liu, Y., Liang, X., and Kang, L., (2016), Multi-objective optimization for design of a steam system with drivers option in process industries, Journal of Cleaner Production, 136, 89-98.
[13]      Ortega, J., Barragan, R., and Marquez, C., (2024). Optimization of chemical processes: a sustainable perspective, First Online Edition, Springer, 179.
[14]      Sharma, S., Kumar, V., (2022), A comprehensive review on multi-objective optimization techniques: past, present and future, Archives of Computational Methods in Engineering, 29, 5605-5633.
[15]      Chen, C. -L., Lin, C. -Y., and Lee, J. -Y., (2013), Retrofit of steam power plants in a petroleum refinery, Applied Thermal Engineering, 61(1), 7-16.
[16]      Hoffmann, V., McRae, G., and Hungerbühler, K., (2004), Methodology for early-stage technology assessment and decision making under uncertainty: Application to the selection of chemical processes, Industrial & Engineering Chemistry Research, 43(15), 4337-4339.
[17]      Hischier, R., Weidema, B., Althaus, H. -J., Bauer, C., Doka, G., Dones, R., Frischknecht, R., Hellweg, S., Humbert, S., Jungbluth, N., Köllner, T., Loerincik, Y., Margni, M., and Nemecek, T., (2010), Implementation of Life Cycle Impact Assessment Methods, Ecoinvent Report No. 3, v2.2.
[18]      Zhar, R., Allouhi, A., Jamil, A., and Lahrech, K., (2021), A comparative study and sensitivity analysis of different ORC configurations for waste heat recovery, Case Studies in Thermal Engineering, 28, 101608.
[19]      https://www.chemengonline.com/2023-cepci-annual-average-value-decreases-from-previous-year/ (accessed April 11, 2024).
[20]      Zhao, Y., Du, B., Chen, S., Zhao, J., Gong, Y., Bu, X., Li, H., Wang, L., (2021), Thermo-Economic comparison between organic Rankine cycle and binary-flashing cycle for geothermal energy, Frontiers in Earth Science, 9, 759872.
[21]      Hou, S., Zhou, Y., Yu, L., Zhang, F., and Cao, S., (2018), Optimization of the combined supercritical CO2 cycle and organic Rankine cycle using zeotropic mixtures for gas turbine waste heat recovery, Energy Conversion & Management, 160, 313-325.
[22]      Zhang, X., Cao, M., Yang, X., Guo, H., and Wang, J., (2019), Economic analysis of organic Rankine cycle using R123 and R245fa as working fluids and a demonstration project report, Applied Sciences, 9(2), 288.