In 1971, Ed Hohmann stated in his PhD thesis that
one can compute the least amount of hot and cold utilities required for a process without knowing the heat exchanger network that could accomplish it. One also can estimate the heat exchange area required
In late 1977, Ph.D. student Bodo Linnhoff under the supervision of Dr John Flower at the University of Leeds1 showed the existence in many processes of a heat integration bottleneck, ‘the pinch’, which laid the basis for the technique, known today as pinch-analysis. At that time he had joined Imperial Chemical Industries (ICI) where he led practical applications and further method development.
Bodo Linnhoff developed the 'Problem Table', an algorithm for calculating the energy targets and worked out the basis for a calculation of the surface area required, known as ‘the spaghetti network’. These algorithms enabled practical application of the technique.
In 1982 he joined University of Manchester Institute of Technology (UMIST, present day University of Manchester) to continue the work. In 1983 he set up a consultation firm known as Linnhoff March International later acquired by KBC Energy Services.
Many refinements have been developed since and used in a wide range of industries, including extension to heat and power systems and non-process situations. The most detailed explanation of the techniques is by Linnhoff et al. (1982),2 Shenoy (1995),3 Kemp (2006)4 and Kemp and Lim (2020),5 while Smith (2005)6 includes several chapters on them. Both detailed and simplified (spreadsheet) programs are now available to calculate the energy targets. See Pinch Analysis Software below.
Pinch analysis has been extended beyond energy applications. It now includes:
Classical pinch-analysis primarily calculates the energy costs for the heating and cooling utility. At the pinch point, where the hot and cold streams are the most constrained, large heat exchangers are required to transfer heat between the hot and cold streams. Large heat exchangers entail high investment costs. In order to reduce capital cost, in practice a minimum temperature difference (Δ T) at the pinch point is demanded, e.g., 10 °F. It is possible to estimate the heat exchanger area and capital cost, and hence the optimal Δ T minimum value. However, the cost curve is quite flat and the optimum may be affected by "topology traps". The pinch method is not always appropriate for simple networks or where severe operating constraints exist. Kemp (2006)14 and Kemp and Lim (2019) discuss these aspects in detail.
The problem of integrating heat between hot and cold streams, and finding the optimal network, in particular in terms of costs, may today be solved with numerical algorithms. The network can be formulated as a so-called mixed integer non-linear programming (MINLP) problem and solved with an appropriate numerical solver. Nevertheless, large-scale MINLP problems can still be hard to solve for today's numerical algorithms. Alternatively, some attempts were made to formulate the MINLP problems to mixed integer linear problems, where then possible networks are screened and optimized. For simple networks of a few streams and heat exchangers, hand design methods with simple targeting software are often adequate, and aid the engineer in understanding the process.15
Ebrahim, M.; Kawari, Al- (2000). "Pinch technology: an efficient tool for chemical-plant energy and capital-cost saving". Applied Energy. 65 (1–4): 45–49. doi:10.1016/S0306-2619(99)00057-4. /wiki/Doi_(identifier) ↩
Linnhoff, B., D.W. Townsend, D. Boland, G.F. Hewitt, B.E.A. Thomas, A.R. Guy and R.H. Marsland, (1982) A User Guide on Process Integration for the Efficient Use of Energy. IChemE, UK. ↩
Shenoy, U.V. (1995). Heat Exchanger Network Synthesis: Process Optimization by Energy and Resource Analysis. Includes two computer disks. Gulf Publishing Company, Houston, TX, USA. ISBN 0-88415-391-6. /wiki/ISBN_(identifier) ↩
Kemp, I.C. (2006). Pinch Analysis and Process Integration: A User Guide on Process Integration for the Efficient Use of Energy, 2nd edition. Includes spreadsheet software. Butterworth-Heinemann. ISBN 0-7506-8260-4. (1st edition: Linnhoff et al., 1982) /wiki/ISBN_(identifier) ↩
Kemp, I.C. and Lim, J.S. (2020). Pinch Analysis for Energy and Carbon Footprint Reduction: A User Guide on Process Integration for the Efficient Use of Energy, 3rd edition. Includes spreadsheet software. Butterworth-Heinemann. ISBN 978-0-08-102536-9. /wiki/ISBN_(identifier) ↩
Smith, R. (2005). Chemical Process Design and Integration. John Wiley and Sons. ISBN 0-471-48680-9 /wiki/ISBN_(identifier) ↩
El-Halwagi, M. M. and V. Manousiouthakis, 1989, "Synthesis of Mass Exchange Networks", AIChE J., 35(8), 1233–1244 ↩
Wang, Y. P. and Smith, R. (1994). Wastewater Minimisation. Chemical Engineering Science. 49: 981-1006 ↩
Prakash, R. and Shenoy, U.V. (2005) Targeting and Design of Water Networks for Fixed Flowrate and Fixed Contaminant Load Operations. Chemical Engineering Science. 60(1), 255-268 ↩
Hallale, Nick. (2002). A New Graphical Targeting Method for Water Minimisation. Advances in Environmental Research. 6(3): 377-390 ↩
Nick Hallale, Ian Moore, Dennis Vauk, "Hydrogen optimization at minimal investment", Petroleum Technology Quarterly (PTQ), Spring (2003) ↩
Agrawal, V. and U. V. Shenoy, 2006, "Unified Conceptual Approach to Targeting and Design of Water and Hydrogen Networks", AIChE J., 52(3), 1071–1082. ↩
Furman, Kevin C.; Sahinidis, Nikolaos V. (2002-03-09). "A Critical Review and Annotated Bibliography for Heat Exchanger Network Synthesis in the 20th Century". Industrial & Engineering Chemistry Research. 41 (10): 2335–2370. doi:10.1021/ie010389e. /wiki/Doi_(identifier) ↩