Page 380 - Sustainability in the Process Industry Integration and Optimization

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process design: Process Integration (PI), further
onion diagram and, 48 applications of (Cont.):
PI, energy efficiency and, 47–48 heat-integrated power systems and,
Process Design Center, Netherlands, 142–144
303 integrating reliability, availability
Process Integration, Modelling and and maintainability, 144–146
Optimisation for Energy Saving local integrated energy sectors and
and Pollution Reduction (PRES), extended total sites, 148–149
295, 301, 306 low-temperature energy, 143–144
Process Integration (PI): materials reuse-recycle and
application of, 7, 9 property pinch analysis,
audit procedure, 6 133–136
avoiding pitfalls, 281–294 oxygen pinch analysis, 125–126
benefits of, 18–20 pinch analysis of supply chains,
data extraction, steps of, 34 136–138
defined/described, 12 pinch used to target CO emissions,
2
examples, 20–22 138–139
further applications of, 123–150 pressure drop and heat transfer
HI component, 7–8 enhancement in, 146–148
history and development of, 12–14 regional resource management,
improving energy efficiency and, 139–142
45–104 summary, 149–150
MPR approach to, 14 Process Integration Ltd., 300, 303, 305,
needs for, 11–12 308, 311
Network Pinch, 16–17 process modifications:
optimization and, 165–190 hot and cold streams with, 81
optimization integration attempts, plus-minus principle and, 80
13–14 process network model construction,
role in industrial sustainability, 20 36–37
targeting heat recovery and, 14–15 process optimization, 23–43
thermodynamic roots of, 14–15 classes of problems, 26–28
Process Integration (PI), energy conditions for optimality, 28–29
efficiency and: continuous/integer variables
basic pinch technology, 50–69 and, 26
basics, 47–50 creating models, 33–43
extended pinch technology, 69–81 decision/dependent variables
heat recovery problem and, 25
identification and, 48–50 defined, 25
HENs synthesis, 81–96 deterministic algorithm solutions,
HI and, 47 29–31
hierarchy of process design and, deterministic methods for solving
47–48 discrete problems, 31–32
introduction to heat exchange and generic optimization problem, 26t
recovery, 45–47 integer/binary variables and, 27
performance targets and, 48 mathematical problem formulation,
total site energy integration, 96–104 25–26
Process Integration (PI), further model building and, 24–25
applications of: objective function component, 25
budget-income-time pinch analysis, stochastic search methods, 32–33
131–133 process optimization frameworks:
combined analysis II, 131–142 mathematical programming,
decarbonization, 142–143 classical approach and, 151–153
design and management of scheduling of batch processes and,
hydrogen networks, 123–125 159–163
energy-water, oxygen-water, structural process optimization,
pinch-emergy, 126–131 P-graphs, 153–158