A Pinch Analysis approach for minimizing compression energy and capital investment in gas allocation network
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ORIGINAL PAPER
A Pinch Analysis approach for minimizing compression energy and capital investment in gas allocation network Gaurav Shukla1 · Nitin Dutt Chaturvedi1 Received: 31 July 2020 / Accepted: 13 November 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Transportation of fluid is a very important aspect of process industries, especially for oil and gas industries. Pipelines have been considered as the most effective and safest way of transporting fluids. Transportation of gas through a pipeline is an energy-intensive process; hence, energy optimization in gas transportation networks is an important issue to be considered while framing the environmental policies. In this paper, a novel graphical methodology based on pinch analysis approach for simultaneous minimization of capital investment and compression energy requirement in gas allocation network with the aid of thermodynamic relations is developed. The results of the proposed methodology are expressed as a Pareto optimal front. The ε-constraint method is used to generate Pareto optimal front for the two objectives. Identifying the relationship between capital investment and energy requirement gives the opportunity to the decision-maker for choosing the suitable optimal operating point based on the operating and economic conditions of the process. This result allows the planner to calculate the effects via increasing or decreasing energy requirement or capital investment. The applicability of the proposed methodology is demonstrated through two illustrative examples.
* Nitin Dutt Chaturvedi [email protected] 1
Department of Chemical and Biochemical Engineering, Indian Institute of Technology Patna, Bihta, Patna 801106, Bihar, India
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G. Shukla, N. D. Chaturvedi
Graphic abstract Compression Energy
Existing Compressor Station1
Pareto Optimal Frontier
Existing Compressor Station 2
Existing Compressor Station i
Demand Station 2
New Compressor Station 1
Demand Station k
Capital Investment
Demand Station 1
Compression Energy
New Compressor Station 2
New Compressor Station j
Capital Investment
Keywords Gas transportation · Pareto optimal front · Pinch analysis · Process integration · Compression energy · Capital investment List of Symbols CEI Compression Energy Index CS Compressor Station Crj Investment cost of the jth CS, ($) DCEI Demand Compression Energy Index E Compression energy, (kJ/s) ES Shifted compression energy, (kJ/s) ECC Energy composite curve EI Energy Index, (kJ/Sm3) Ec Energy value between energy limits, (kJ/s) F Volumetric flow rate, (m3/s) fik Flow from existing CS’s (i) to demand (k) , (Sm3/s)
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fjk Flow from external CS’s (j) to demand (k) , (Sm3/s) max Frj Maximum supply flow from new CS, (Sm3/s) F0∗ Standard volumetric flow rate, (Sm3/s) GAN Gas allocation network MSA Mass separating agent P,p Pressure (kPa) PC Priortized cost ($.s/kJ) Tcf Trillion cubic feet TCER Total compression energy requirement (kJ/s) TCI Total capital investment ($)
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