Page 377 - Sustainability in the Process Industry Integration and Optimization

354 Inde x

mass integration (Cont.): Mechanical Engineering Faculty,
water integration and, 105–106 Paderborn University, 300
water minimization via MER. See Maximal Energy Recovery
mathematical optimization, MILP. See mixed integer linear
118–122 program
water pinch analysis introduction, MINLP. See mixed integer nonlinear
113–116 program
material recovery pinch diagram MIPSYN, 207–208
(MRPD): mistakes. See pitfalls
flow-rate targeting and, 116–117 mixed integer linear program (MILP),
fruit juice production, limiting 25, 29, 160. See also successive
water data and, 117 mixed integer linear program
MRPD for pure/impure fresh convexity case-by-case
resource, 117 evaluation, 28
materials reuse-recycle: described, 27
construction of interval flow rate deterministic methods for
diagram, 136 solving, 31–32
material balance in aggregate global optimality and, 29
planning, 137 mass balances/problems, 36
property pinch analysis and, nodes/evaluation tree of, 31–32
133–136 mixed integer nonlinear program
supply chain CCs and, 138 (MINLP), 25, 27
mathematical modeling suites: deterministic methods for solving,
MATLAB, 210–211 31–32
MATLAB alternatives, 211 mass balances/problems, 36
software tools, 210–211 model building and optimization,
mathematical optimization 24–25
fruit juice production, MRPD and components, 24–25
network design, 119 examples, 24
illustrative example of brewery IT-domain diagrams/UML
plant, 120–122 diagrams, 24
introduction to, 118–119 model creation, 33–43
water minimization via, 118–122 conceptual modeling, 34–35
Mathematical Programming (MPR) equation construction, 35–37
approach, 8, 14 evaluating adequacy and precision,
model building/optimization 42–43
and, 24 graph-theoretical approach, 35
model nonlinearity and, 41–42 handling model nonlinearity, 41
Network Pinch and, 17 handling process complexity, 38–40
network-related information mass balances, 36–37
transformation, 35 objective function choice, 37–38
PI and, 14 object-oriented modeling, 38–39
process optimization frameworks P-graph framework, 35
and, 151–153 process insight application, 40–41
process synthesis major steps Modelica modeling language, 24,
and, 153 211–212
superstructure formulation, molten-carbonate fuel
35–36, 38 cells (MCFCs), 4
tools for designing chemical MPR. See Mathematical Programming
processes, 20 (MPR) approach
MATLAB, 24, 29, 210–211 MRPD. See material recovery pinch
Maximal Energy Recovery (MER), 39 diagram
Maximal Structure Generation (MSG) MSG algorithm. See Maximal
algorithm, 38, 157–158, 192 Structure Generation algorithm
MCFCs. See molten-carbonate fuel multiple utilities targeting:
cells construction of GCCs and, 63