Page 383 - Sustainability in the Process Industry Integration and Optimization

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successive mixed integer linear tools (Cont.):
program (SMILP), 42 optimization packages, 206–210
sunflower oil production, 21 PI efficient implementation, 166–167
superstructure approach: PNS solutions and graph-based
HENs synthesis and, 93–95 process optimization, 191–193
loop and path in heat exchanger PNS solutions and S-Graph Studio,
network, 93 193–195
spaghetti fragment and, 94 process industry and simulation,
SuperTarget, 200, 283 24, 39
supertargeting, 15–16, 17, 70 software, 191–218
supply chain: spreadsheet-based, 200, 201
activities in optimal, second/third- stochastic methods and error
best business processes, 279 minimization, 43
case study, optimal design of, topology data identification, 34–35
277–279 Total Food, 296
CCs and materials reuse-recycle, total sites:
138 case studies, 226–233
cost of activities in case study, 278 combined site heat sources for
potential activities in case problem 3(c), 230
study, 277 data extraction, 107
Systematic Methods of Chemical Process data for process A, 227
Design (Biegler et al.), 315 data for process B, 227
energy sector with heat and
T T power, 148
Tabu search, 32 first problem, 226–230
TAPPI EPE (Engineering, Pulping and GCCs for process A, 227, 232
Environmental Conference), 296 GCCs for process B, 229, 232
targeting procedures, 39 heat recovery targets for
targets: problem 4(a), 232
energy, 51–54 heat source and sink segments
variation of heat recovery, 53 from GCCs for Process A, 229
Thermal Energy, Norwegian heat source and sink segments
University of Science and from GCCs for Process B, 229
Technology, 300, 303 local integrated energy sectors and
thermodynamics: extended, 148–149
limits on heat recovery, 51 marginal steam prices for utility
roots, 14–15 system with, 103
second law, 51 optimized utility system and, 103
threshold: for problem 4(b), 233
HENs design cases, 60 for problem 4(c), 233
low and high, 61 problem table for process A, 228
problems and GCCs, 60–61 problem table for process B, 228
throughput: profiles, 97–99
maximizing, 179–180 profiles for problem 3(c), 230
optimal scheduling for profit, second problem, 231–233
security and, 179–183 stream data for process A, 231
tools: stream data for process B, 231
complexity management, 39 total sites energy integration, 96
flowsheeting simulation packages, advanced total site optimization
202–206 and analysis, 102–104
HI, 195–201 data extraction, 97
mathematical modeling suites, heat recovery pockets, construction
210–211 of total sites profiles and, 98
MPR and designing chemical heat recovery via steam system, 99–100
processes, 20 power cogeneration, 101–102
optimization and efficient profiles, 97–99
implementation of PI, 166–167 schematic of industrial total site, 97