Presented: July 1st, 2003
Vermelding onderdeel organisatie
1
Industry and Infrastructure Co-Evolution
TRANSITION MANAGEMENT IN ROTTERDAM-RIJNMOND?
ISIE’03, Ann-Arbor, Michigan
Gerard P.J. Dijkema
Adapted for spm9539, 2006
Faculty of Technology, Policy and Management Industry an Energy Group
PO Box 5015, 2600 GA Delft, The Netherlands
www.portofrotterdam.com • PortIndustry
© 2003-2006 2/27
Outline
• Introduction
– Technology, Policy and Management – Rotterdam-Rijnmond
• System Thinking
– System Representation
– System Technology & Characteristics
• Transition Towards Sustainability?
– Concerns / drivers – Research question
• Decision Support for Industrial Development
– Site Selection; Active and Passive Co-Siting;
– Process System Engineering (PSE) – Optimisation & Case Study
– Industrial Ecology and PSE
• Conclusion & Outlook
Outline
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Technology, Policy and Management
Resource Cycle - Energy
- Metals Life Cycle
Products/Society/Environment/Economics
Technology Cycle -Science
-Design & Engineering -Operation
Energy and Industry Group
Public policy, organisation and management
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Rotterdam-Rijnmond
Introduction
www.portofrotterdam.com • PortMaps
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Rotterdam-Rijnmond
Introduction
www.portofrotterdam.com • PortMaps
4 Worldscale Oil Refineries
13 Tank Terminal / Distribution
>10 Utilities Sites
44 Chemicals Manufacturers
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Local, Regional, National and
International Linkages by Pipeline
System Thinking
Crude oil / products Ethylene / Propylene
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System Representation
• System Elements
– Refineries, Chemical Plants – Utility Plants, Storage
• System Linkages
– Pipeline, truck, rail, ship
• System Inputs/Outputs
– Resources, Products – Emissions, Waste – Utilities and Services
– Investments, Information
• System Surroundings
– Economy, ecology, society
• System Stakeholders
– Operating Companies & their mothers, Knowledge & Service providers – Regional Development Agency, Government, NGO’s, Residents
System Thinking
Surroundings System
The Rotterdam Industrial Cluster Feedstock
Products Investment & Operating Cost Revenues Salaries
Emissions
Skilled Labour
Utilities
WasteKnow-how
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System Elements & Surroundings
System Thinking
Chemical Industry
Agriculture Polymer Industry Industry Sectors Petrochemical industry
Refining Industry
Food Transport
Other
Farming Building Materials
Paper Textile Oil Refineries
Winning
Steam- Cracker Complexes
Production network
Polym.
Polym.
Polym.
Monomers
Aromatics Olefins
Naphtha Gasoil
Moulding
Shaping
Etc.
Packaging Electronics Automobiles
Winning
Methanol & Deriviatives
Production network Proces-
Polym. sing
Fertiliser Industry Production network Natural
Gas
Consumers / Households
Machinery Fuels
Lubricants
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System economic & dynamic characteristics
• Economics
– Capital intensive, huge investments
• 1990-Today Σ > 7 bn. US$; Total >30 bn. US$;
– Labor extensive, high skill-level
• 12,000 direct FTE, 60,000 indirect FTE
– Long lifespan, low margins
• Payout 10-15 years; Installations: 20-30 years; sites > 90 years
– Science-based;
• Technological know-how is key
• Resulting Dynamics
– Discrete events (e.g. Lyondell PO-11, Shell Hycon, CoGen projects) – Slow / intermittent
– Entrapment & interdependencies
• Infrastructure dependent; mutual dependent (e.g. closure of Kemira)
System Thinking
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System Stakeholders
• Companies
– Production locations;
• No authority for major investment decisions
• No control of technology, R&D, innovation
– Service Companies: infra, utility, storage, cleaning, EPC, ICT etc.
• Authorities
– Facilitating: Regional Development Agency (RMPM) – ‘Permitting’: Local, Regional & National Authorities
– ‘With an Interest’: Economic Affairs, Environment, Employment
• ‘the Public’
– Jobs
– Environmental & Safety concerns
– Consumers (energy products exported from the region) System Thinking
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Transition towards Sustainability?
Sustainability?
www.shell.com.com
www.shell.com.com
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Industry / Infrastructure Co-Evolution?
• Concerns for Rotterdam-Rijnmond
– ‘Monoculture’ of large-scale process industry
– Mainly crude-oil and natural gas-based (finite resources) – CO2-emission of the region’s industry
• How to foster…
– Evolution of system content?
• Industry, infrastructures, transport
• A recovery / recycling hub (metals, polymers, plastics?)
– Favourable decisions by stakeholders involved?
• Rotterdam-Rijnmond selected as plant location
• Regulatory/legislative arrangements Sustainability?
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Industry / Infrastructure Co-Evolution?
Current Developments & Activities
• Developments
– ‘Passive Co-Siting’ through fragmentation of company-sites
• single-owner --> asset transfer --> multi-owner site
– Region-Wide ‘Shared Services’
• Education & Training, fire-fighting, security etc.
• Activities
– ‘Active co-siting’
• RDA-team, information via website
– Industrial Symbiosis in Production & Utility / Industrial Gas
• Creation of onsite utility islands - Utility Company owned
• Large-scale off-site investments, dedicated to single plants Decision Support
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Industry / Infrastructure co-evolution?
Decision Support of the RDA
Research Question
"how can interactive decision- making on industry- and
infrastructure development for industrial complexes be supported by technology-based system
models and system design".
Decision Support
Existing
Energy-Infrastructures Existing
Industries
New
Energy-Infrastructures
'Business-as- usual'
'Autonomous development' 'Brownfield'
Rejuvenation of Rotterdam
Cluster
'Greenfield' Choices
for 2e Maasvlakte
New Industries
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Complex Decision-making
Timing & interdependencies between OpCo / RDA decisons
LongList ShortList Execution
Phase Strategic
Decision
Market Development
Profile to be ShortListed Profile
to be LongListed
Close Deal
Marketing tools / activities market research
business case development provision of information negotiation
make, maintain and develop contacts Chemical Manufacturer
Site-Selection Process
RDA Activities
Decision Support
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Process System Engineering A useful body-of-knowledge
• System Modeling & Performance Evaluation
– Development of Agro-Industrial Complex
– Support tool for Methanol-Supply-Chain/cluster development
• Dynamic modelling of interconnected metal cycles
– Technological / Dynamic model of interconnected metal extraction, production, consumption, recycling
• System Modeling and Optimisation
– (MI) LP-model of part of Rotterdam Cluster around PET
• Optimisation of cluster content/structure w.r.t. total revenue
• Enables evaluation of prospective new developments
Process System Engineering
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An Optimisation Problem
• ‘Brownfield’ --> model + constraints
– Known cluster structure, I/O; capacities, performance etc.
– Land is available for cluster-modification
• Which addition is optimal?
– From the RDA’s perspective
• Objectives: land-use, jobs, CO2, added-value)
– From the Investor’s perspective
• investment, operational costs; time-to-start-up, risk
– From Other Perspectives
• Safety, environmental, economic, societal, sustainability
Process System Engineering
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Optimisation Approach
– Our Focus: Problem Formulation
– Implementation: Excel, MatLab, GAMS, gPROMS / (MI)(N)LP
ECONOMY
SUPPLY DEMAND
ENVIRONMENT
OPTIMISER FEE
D PRODUCT
S
INVEST MENT S
PROFITS WASTE
$
$ $
$
CONSTRAINTS OPTIMAL NETWORK
CONFIGURATION OBJECTIVE
FUNCTION
mass / energy / economy/ ecology
CO2
Process System Engineering
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Optimisation problem formulation in standard form:
• System model: y = Ac
– Where a(i,j) ; c(i) = plant capacity for product i
• Objective: min f(x,y)
• By selection of plant capacities
– c(i) i=1…p; p<=m
• Constraints
– y (i) >= d(i) i = 1….m <system outputs meet demand>
– x (j) <= s(j) j = 1…n <system inputs respect supply>
• Mixed-integer:
– c(i) = c’(i) * k(i); k = 0 or 1
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Casus: expansion of PET-cluster
– PET/PBT: Consumer Single-Service Disposable Container
• PET: ingredient = Ethylene-glycol
• PBT: ingredient = Butylene-glycol
Legend port of Rotterdam PET cluster, 2000 (ref: RMPM, 2000)
Abbrev. Name Type
E Ethylene Feedstock
EO Ethylene Oxide Intermediate
EG Ethylene Glycol Intermediate
MX Mixed-Xylenes Feedstock
PX para-Xylene Intermediate
PTA Purified Terephthalic Acid Intermediate PET Poly(Ethylene Terephthalate) Product
PO Propylene Oxide Feedstock
BDO 1,4-Butanediol Intermediate
PBT Poly(Butylene Terephthalate) Product = Plant (annual production capacity)
125 kton 300
E EO kton EG
MX PX
PTA
BDO
PBT PTA
PO 250 kton
150 kton 290
kton 500
kton
125 kton
? kton
PET
Battery Limits
O2
2 O2 2 H2
H2O
2 H2 CO
2 H2O
2 H2O
Case Study
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Casus PET/PBT: results
– IRR > 15% is selection-criteria for operating companies – Revenue per hectare is adequate indicator for RDA
Best Case market scenario
0 5 10 15 20 25 30 35 40 45 50
0.0 1.0 2.0 3.0 4.0 5.0 6.0
Added Value per hectare (Mln$/ha) Lowest Internal Rate of Return (IRR) (%)
6
2
4 7
5
9 3
8 1
1 0
Present situation 1
1 PET 2
1 PTA 3
1 EO 4
1 PET + 1 PTA 5
1 PET + 1 PX 6
1 PTA + 1 EO 7
1 PET + 1 EG 8
1 PET + 2 PTA + 3 PX + 1 EO 9 1 PET + 2 PTA + 2 PX + 1 EO 10
Case Study
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Summary of analogies between industrial & natural systems
• Complex, layered, networked, dynamic
– Input / output modelling
– Boundary Selection & Decomposition
• Evolution instead of design
– competition; agents-of-change – innovation/adaptability
• Desired (performance) characteristics
– Stability through Diversity – Closed cycles, solar-powered
Industrial Ecology?
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Industrial Ecology Perspectives:
• Prescriptive
– “industrial systems must mimic natural systems & achieve similar characteristics”
• Reflexive
– “industrial ecology provides the concepts and tools to assess and learn from our past <failures and successes> ”
• Descriptive
– Natural systems provide a rich source of models for design of man-made systems
Industrial Ecology?
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Conclusions
• Industrial Ecology
– … is a multidisciplinary “system-oriented” concept
• Process System Engineering
– … offer theories, methodologies, methods and tools
– … for the synthesis, design and evaluation of industrial systems
• Sustainability requires a Transition
– … understanding of the process of industrial site evolution – … (MI) LP - helps to elucidate optimal network structures
Conclusions & Outlook
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Outlook
• The combination of IE and PSE body-of- knowledge
– would provide IE with solid-footing in quantitative-modelling – provides methods and tools for modelling and validation of
regional industrial development
– Thus would allow real decision-support in a transition towards sustainable industrial regions
• On Rotterdam-Rijnmond
– we are specifying a decision-support tool in conjunction with the RDA
– we intend to include long-term dynamics of cluster development in our models
Conclusions & Outlook
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Industry and Infrastructure Co-Evolution
TRANSITION MANAGEMENT IN ROTTERDAM-RIJNMOND?
Thank you for your attention!
Gerard P.J. Dijkema
Faculty of Technology, Policy and Management Industry an Energy Group
PO Box 5015, 2600 GA Delft, The Netherlands www.portofrotterdam.com • PortIndustry
ISIE’03, Ann-Arbor, Michigan