Synthesis of Heat Exchanger Networks

Slides:



Advertisements
Similar presentations
PRESENTERS NDENGA D.L,ASSOCIATED BATTERY MANUFACTURERS,NAIROBI AND KILONZI F.M,MOI UNIVERSITY,ELDORET. APPLICATION OF PINCH TECHNOLOGY IN MINIMISATION.
Advertisements

Tier III: Optimization Design Problems Derek McCormack Section 1: Sample Problems.
Heat Exchanger Network Retrofit
Rozalija Drobež, Zorka Novak Pintarič, Bojan Pahor, Zdravko Kravanja Scientific research centre Bistra Ptuj University of Maribor Faculty of Chemistry.
Operated by the Southeastern Universities Research Association for the U.S. Department of Energy Thomas Jefferson National Accelerator Facility Page 1.
Chapter 9 S,S&L T&S Section 3.5 Terry Ring University of Utah
CHAPTER 9 FLOWSHEET ANALYSIS FOR POLLUTION PREVENTION.
“Energy Efficiency Guide for Industry in Asia”
Heat Exchanger Theory and Design
Heat and Power Integration CHEN 4460 – Process Synthesis, Simulation and Optimization Dr. Mario Richard Eden Department of Chemical Engineering Auburn.
CIIEM 2007  Energetic Installations  Badajoz, June 2007 Robust Optimization in Heat Exchanger Network Synthesis João MIRANDA (1), Miguel CASQUILHO.
Dynamic Steady State Continuous Discrete Deterministic Stochastic.
Thermo-economic modelling and optimization of fuel cell systems Francesca Palazzi, Julien Godat, Dr François Marechal Laboratory for Industrial Energy.
Heat and Power Integration CHEN 4460 – Process Synthesis, Simulation and Optimization Dr. Mario Richard Eden Department of Chemical Engineering Auburn.
Heat exchanger network synthesis PAULI HILTUNEN LUCAS BÄCKMAN ENE SPECIAL COURSE IN ENERGY FOR COMMUNITIES P.
EENG 2610: Circuits Analysis Class 3: Resistor Combinations, Wye-Delta Transformations, Dependent Sources Oluwayomi Adamo Department of Electrical Engineering.
Heat Exchange Network Optimization by Thermal Pinch Analysis
Flow Inside Heat Exchangers
Green Engineering Process Integration: Three key components:
University of Texas at AustinMichigan Technological University 1 Module 5: Process Integration of Heat and Mass Chapter 10 David R. Shonnard Department.
Plant Utility System (TKK-2210) 14/15 Semester 4 Instructor: Rama Oktavian Office Hr.: M-F
8 - Heat & Power Integration1 Heat Exchanger Network Synthesis, Part III Ref: Seider, Seader and Lewin (2004), Chapter 10.
Flow rates : Known Obtain : heat capacities (Cp) heat of vaporization/condensation Estimate : vapor loads in the column (design) Obtain heat loads of all.
1 Anantharaman & Gundersen, PSE/ESCAPE ’06 Developments in the Sequential Framework for Heat Exchanger Network Synthesis of industrial size problems Rahul.
Chapter 15 - Heat Exchange Networks
Heat Exchanger Network Design one aspect of process integration J. M. Shaw Instructor CHE 465 I would happily credit the authors who provided the example.
Heat Integration in Distillation Systems (1) Single Column.
Pinch technology series
6 - Intro HEN Synthesis1 Heat Exchanger Network Synthesis Part I: Introduction Ref: Seider, Seader and Lewin (2004), Chapter 10.
Heat Integration Chapt. 10. Costs Heat Exchanger Purchase Cost – C P =K(Area) 0.6 Annual Cost –C A =i m [ΣC p,i + ΣC P,A,j ]+sF s +(cw)F cw i m =return.
Part 6 Synthesis of Heat Exchanger Networks. 6.1 Sequential Synthesis Minimum Utility Cost.
Pinch Technology: 기본 이론. Identify Opportunities by Inspection Process Unit 10 C 100 C 150 C 30 C SteamCooling Water FeedProduct An opportunity for heat.
A transportation problem.  Let c ik be cold stream i in interval k and h jl be hot stream j in the interval l.  Define a ik as the heat.
Chapter 13 Pinch Technology
Hella Tokos and Zorka Novak Pintarič COMPUTER AIDED PROCESS ENGINEERING FOR INTEGRATION OF INDUSTRIAL PROCESSES.
Area Target Section Stream Population j k Cold Streams Hot Streams H T QjQj enthalpy interval.
Heat Integration Chapter 9 S,S&L T&S Section 3.5 Terry Ring University of Utah.
Optimization & Fleshing Out the Design Optimizing for capital and/or operating costs More detailed look at specific equipment.
Process design and integration Timo Laukkanen. The main objectives of this course To learn how to use tools that can be used to design heat recovery systems.
Lecture 5 Multiobjective optimization GAMS-Nimbus integration SUMMARY Timo Laukkanen.
Pinch Technology and optimization of the use of utilities – part two Maurizio Fermeglia
Hierarchy of Decisions HEAT EXCHANGER NETWORK (HEN)
LECTURE DAY 2 Timo Laukkanen. What was important in Lecture 1 Process Integration/Heat Exchanger Network Synthesis (HENS) is an important step in process.
Pinch Technology and optimization of the use of utilities – part two
Lecture Objectives: Discuss HW4, answer your questions
CHEMCAD Utility Processes John Edwards, P&I Design Ltd January 2015
Synthesis of Heat Exchanger Networks
Stian Aaltvedt Supervisors: Sigurd Skogestad Johannes Jäschke
LECTURE DAY 3 Timo Laukkanen.
Process design and integration
Euler’s network theorem
Multiobjective optimization GAMS-Nimbus integration SUMMARY
Location-dependent Synthesis of Biorefinery Networks
Pinch Technology and optimization of the use of utilities – part one
T H enthalpy interval Hot Streams Cold Streams Section Stream j
Process Equipment Design and Heuristics – Heat Exchangers
Process design, process integration and energy system optimization
CH EN 5253 – Process Design II
SOME RESULTS IN GRAPH THEORY
Heat Integration in Distillation Systems
Pinch Technology and optimization of the use of utilities – part one
Heat Exchange Networks
LECTURE DAY 2 Timo Laukkanen.
Power House Optimization (PHO)
Reading Materials: Chapter 9
Tier III: Optimization Design Problems
Hierarchy of Decisions
Synthesis of Heat Exchanger Networks
INTRODUCTION TO HX-NET
12. Heat Exchangers Chemical engineering 170.
Presentation transcript:

Synthesis of Heat Exchanger Networks Part 6 Synthesis of Heat Exchanger Networks

6.1 Sequential Synthesis Minimum Utility Cost

Example 1 Fcp (MW/C) Tin (C) Tout H1 1 400 120 H2 2 340 C1 1.5 160 C2 1.3 100 250 Steam: 500 C Cooling water: 20 – 30 C Minimum recovery approach temperature (HRAT): 20 C

Heat Balances around Temperature Intervals

Transshipment Model

Remarks LP for minimum utility consumption leads to the same results as the Problem Table in Pinch method. The transshipment model can be generalized to consider multiple utilities to minimize total utility cost. This model can be expanded so as to handle constraints on matches. This model can also be expanded so as to predict the matches for minimizing the number of units. We can embed the equations of the transshipment model within an optimization model for synthesizing a process system where the flows of the process streams are unknown.

Index Sets

Condensed Transshipment Model

Example 2 FCp (MW/K) Tin (K) Tout H1 2.5 400 320 H2 3.8 370 C1 2.0 300 420 C2 HP Steam: 500 K, $80/kW-yr LP Steam: 380 K, $50/kW-yr Cooling Water: 300 K, $20/kW-yr HRAT: 10K

Minimum Utility Cost with Constrained Matches Sequential Synthesis Minimum Utility Cost with Constrained Matches

Basic Ideas

Heat Exchange Options Hot stream i and cold stream j are present in interval k (see figure in the previous page). Cold stream j is present in interval k, but hot stream i is only present at higher temperature interval (see figure in the next page).

Index Sets

Expanded Transshipment Model

Match Constraints

Example 1 Fcp (MW/C) Tin (C) Tout H1 1 400 120 H2 2 340 C1 1.5 160 C2 1.3 100 250 Steam: 500 C, $80/kW-yr Cooling water: 20 – 30 C, $20/kW-yr Minimum recovery approach temperature (HRAT): 20 C The match between H1 and C1 is forbidden.

Condensed Transshipment Model The annual utility cost: $9,300,000.

Expanded Transshipment Model Annual Utility Cost: $15,300,000 Heating Utility Load: 120 MW Cooling Utility Load: 285 MW

Prediction of matches for minimizing the unit number Sequential Synthesis Prediction of matches for minimizing the unit number

Objective Function

Heat Balances The constraints in the expanded transshipment model can be modified for the present model: The heat contents of the utility streams are given. The common index i can be used for hot process and utility streams; The common index j can be used for cold process and utility streams.

Heat Balances

Logical Constraints

Solution

Example 1 Fcp (MW/C) Tin (C) Tout H1 1 400 120 H2 2 340 C1 1.5 160 C2 1.3 100 250 Steam: 500 C Cooling water: 20 – 30 C Minimum recovery approach temperature (HRAT): 20 C

Condensed Transshipment Model

MILP (i)

MILP (ii)

Solution

Alternative Solution

Solve MILP without Partition

Only 5 units! One less than the previous two!

Automatic Generation of Network Structures Sequential Synthesis Automatic Generation of Network Structures

Basic Ideas Each exchanger in the superstructure corresponds to a match predicted by the MILP model (with or without pinch partition). Each exchanger will also have as heat load the one predicted by MILP. The superstructure will contain those stream interconnections among the units that can potentially define all configurations. The stream interconnections will be treated as unknowns that must be determined.

Superstructure for one hot stream and two cold streams

Embedded Alternative Configurations H1-C1 and H1-C2 in series H1-C2 and H1-C1 in series H1-C1 and H1-C2 in parallel H1-C1 and H1-C2 in parallel with bypass to H1-C2 H1-C1 and H1-C2 in parallel with bypass to H1-C1

Parameters and Unknowns

Objective Function

Equality Constraints

Inequality Constraints

Example 3 Stream Tin (K) Tout Fcp (kW/K) h (kW/m^2K) Cost ($/kW-yr) H1 440 350 22 2.0 - C1 349 430 20 C2 320 368 7.5 0.67 S1 500 1.0 120 W1 300 Minimum temperature approach = 1 K Exchanger cost = 6600+670(Area)^0.83

Solution