Automated Pinch-Exergy Analysis for Industrial Processes: ΔTmin Effect on Energy and Exergy Targets

Document Type : SEMIT 2022


1 Applied Mathematics and Computer Science Decision Laboratory,National Graduate Engineering School Of Mines - Rabat- Morocco

2 Information Technology and communications Laboratory, International University of Rabat, Rabat.

3 Applied Mathematics and Computer Science Decision Laboratory, National Graduate Engineering School Of Mines - Rabat- Morocco


Energy efficiency and process integration play a vital role in minimizing fossil fuel consumption and electricity demand within industrial processes. Therefore, experts have prioritized research on enhancing and promoting the thermal energy efficiency of this sector, with a specific emphasis on energy recovery and sustainability goals. Pinch analysis (PA) and exergy analysis (ExA) have been employed separately or in conjunction to optimize energy recovery and minimize the work potential losses (exergy loss).
This paper demonstrates the effectiveness of a developed algorithm that handle the impact of ∆Tmin on energy and exergy targets in an automatic manner through a set of scripts. The scripts manipulate input data and intermediate data through loops in order to quantify and determine different energetic and exergetic quantities. The developed algorithm is testified using a literature case study in order to prove its validity. For δTmin in range [0,10] and step s =2, the algorithm performs the calculations for each δTmin in range ∆Tmin. The obtained results include the pinch analysis parameters such as the global pinch point temperature [Tpinch] as well as the minimum heating and cooling requirements ([Uhot] and [Ucool]). For the scripts devoted to the exergy concept, the algorithm determines all the exergy targets (rejection, requirement and avoidable losses). As a result for δTmin in ∆Tmin, the process external utilities Uhot and Ucool increased simultaneously from 6.85 and 4.39 MW to 12.2 and 9.75 MW with increment of δTmin, which means that the energy recovery and avoidable exergy losses reduced with respect to δTmin. For the exergy requirement and rejection targets, they increased simultaneously from 2.6602 and 1.3231 MW to 6.711 and 2.88 MW with δTmin increment, indicating the opportunity to design a system to recover work through turbine expansion. In addition to the originality of the interconnected scripts, the obtained results are in accordance with those in the literature, indicating the applicability of the developed algorithm


Allen, B., Savard-Goguen, M., and Gosselin, L. (2009). Optimizing heat exchanger networks with genetic algorithms for designing each heat exchanger including condensers. Applied Thermal Engineering, Vol. 29(16), pp. 3437–3444.
Alwi, S. R. W. and Manan, Z. A. (2010). Step—a new graphical tool for simultaneous targeting and design of a heat exchanger network. Chemical Engineering Journal, Vol. 162(1), pp. 106–121.
Aspelund A, Berstad DO, Gundersen T. (2007). An Extended Pinch Analysis and Design procedure utilizing pressure based exergy for subambient cooling. Applied Thermal Engineering, Vol. 27(16), 2633e49.
Bakar, S. H. A., Hamid, M. K. A., Alwi, S. R. W., and Manan, Z. A. (2016). Selection of minimum temperature difference (δtmin) for heat exchanger network synthesis based on trade-off plot. Applied energy, Vol. 162, pp. 1259–1271.
Bakhtiari, B., Bedard, S., 2013. Retrofitting heat exchanger networks using a modified network pinch approach. Applied Thermal Engineering, Vol. 51, pp. 973–979.
Bandyopadhyay, R., Alkilde, O. F., and Upadhyayula, S. (2019). Applying pinch and exergy analysis for energy efficient design of diesel hydrotreating unit. Journal of Cleaner Production, Vol. 232, pp. 337–349.
Bou Malham, C., Zoughaib, A., Rivera Tinoco, R., and Schuhler, T. (2019). Hybrid optimization methodology (exergy/pinch) and application on a simple process. Energies, Vol. 12(17), 3324.
Bühler, F., Nguyen, T.-V., Jensen, J. K., Holm, F. M., and Elmegaard, B. (2018). Energy, exergy and advanced exergy analysis of a milk processing factory. Energy, Vol. 162, pp. 576–592.
Ebrada, L. C., De Luna, M. D. G., Manegdeg, F. G., and Grisdanurak, N. (2014). The effect of minimum temperature difference in the design and optimization of heat exchanger networks of a brewery based on pinch methodology. In Proceedings of the World Congress on Engineering, volume 2.
Ghannadzadeh, A. and Sadeqzadeh, M. (2017). Combined pinch and exergy analysis of an ethy-lene oxide production process to boost energy efficiency toward environmental sustainability. Clean technologies and environmental policy, Vol. 19(8), pp. 2145–2160.
Gundersen, T. (2013). Heat integration: targets and heat exchanger network design, in: Handbook of process integration (PI). Elsevier, pp. 129-167.
Hamsani, M. N., Walmsley, T. G., Liew, P. Y., and Alwi, S. R. W. (2018). Combined pinch and exergy numerical analysis for low temperature heat exchanger network. Energy, Vol. 153, pp. 100– 112.
Heggs, P. (1989). Minimum temperature difference approach concept in heat exchanger networks. Heat Recovery Systems and CHP, Vol. 9(4), pp. 367–375.
Ibaaz. K, Cherkaoui. M, Cherkaoui M and Annaba. K. (2021). Heat integration applied on low thermal energy system: Building complex case study. In E3S Web of Conferences, EDP Sciences. volume 234.
Ibaaz, K., Oudani, M., Harraki, I. E., Cherkaoui, M., Belhadi, A., and Kamble, S. (2022). A generic algorithm-based application for pinch-exergy prediction in process industries: A case study. Energy & Environment, page 0958305X221143414.
Kaviani, A., Aslani, A., Zahedi, R., Ahmadi, H., and Malekli, M. R. (2022). A new approach for energy optimization in dairy industry. Cleaner Engineering and Technology, Vol. 8, 100498.
Kemp, I.C., 2011. Pinch analysis and process integration: a user guide on process integration for the efficient use of energy. Elsevier.
Klemeš, J.J., Varbanov, P.S., Walmsley, T.G., Jia, X. (2018). New directions in the implementation of pinch methodology (pm). Renewable and Sustainable Energy Reviews, Vol. 98, pp. 439-468.
Kocaman, E., Karakuş, C., Yağlı, H., Koç, Y., Yumrutaş, R., and Koç, A. (2022). Pinch point determination and multi-objective optimization for working parameters of an orc by using numerical analyses optimization method. Energy Conversion and Management, Vol. 271, 116301.
Lai, Y. Q., Alwi, S. R. W., and Manan, Z. A. (2019). Heat exchanger network synthesis considering different minimum approach temperatures. Chemical Engineering Transactions, Vol. 72.
Linnhoff, B., Flower, J.R. (1978). Synthesis of heat exchanger networks: I. systematic generation of energy optimal networks. AIChE Journal, Vol. 24, pp. 633–642.
Mahian, O., Mirzaie, M.R., Kasaeian, A., Mousavi, S.H., 2020. Exergy analysis in combined heat and power systems: A review. Energy conversion and management, Vol. 226, 113467.
Marmolejo-Correa, D. Gundersen, T. (2012). A new procedure for the design of lng processes by combining exergy and pinch analyses. Proceedings of ECOS.
Mehdizadeh-Fard, M., Pourfayaz, F., Mehrpooya, M., and Kasaeian, A. (2018). Improving energy efficiency in a complex natural gas refinery using combined pinch and advanced exergy analyses. Applied Thermal Engineering, Vol. 137, pp. 341–355.
Misevičiutë. V., Motuzienë, V., and Valančius, K. (2018). The application of the pinch method for the analysis of the heat exchangers network in a ventilation system of a building. Applied Thermal Engineering, Vol. 129, pp. 772–781.
Mrayed, S., Shams, M.B., Al-Khayyat, M., Alnoaimi, N. (2021). Application of pinch analysis to improve the heat integration efficiency in a crude distillation unit. Cleaner Engineering and Technology, 100168.
Njoku, H. O., Egbuhuzor, L. C., Eke, M. N., Enibe, S. O., and Akinlabi, E. A. (2019). Combined pinch and exergy evaluation for fault analysis in a steam power plant heat exchanger network. Journal of Energy Resources Technology, Vol. 141(12), 122001.
Olsen, D., Abdelouadoud, Y., Liem, P., Wellig, B. (2017). The role of pinch analysis for industrial orc integration. Energy Procedia, Vol. 129, pp. 74–81.
Sharan, P. and Bandyopadhyay, S. (2017). Energy integration of multiple-effect evaporator, thermo- vapor compressor, and background process. Journal of Cleaner Production, Vol. 164, pp. 1192–1204.
Wang, B., Klemeš, J.J., Li, N., Zeng, M., Varbanov, P.S., Liang, Y. (2021). Heat exchanger network retrofit with heat exchanger and material type selection: A review and a novel method. Renewable and Sustainable Energy Review, Vol. 138, 110479.
Xie, S., Wang, H., Peng, J. (2021). Energy efficiency analysis and optimization of industrial processes based on a novel data reconciliation. IEEE Access 9, Vol. 47, pp.436–474.
Zhang, D., Lv, D., Yin, C., and Liu, G. (2020). Combined pinch and mathematical programming method for coupling integration of reactor and threshold heat exchanger network. Energy, Vol. 205, 118070.
Zueco, J., López-Asensio, D., Fernández, F., López-González, L.M. (2020). Exergy analysis of a steam-turbine power plant using thermocombustion. Applied Thermal Engineering Vol. 180, 115812.