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Lesson 8 of 10intermediate

Process Modeling Cookbook: Electricity, Transport & Manufacturing

Practical recipes for modeling common LCA processes—regional electricity grids, transportation in complex supply chains, cement and concrete, and more.

28 minUpdated Jan 15, 2025

Prerequisites:

life-cycle-inventory-analysisbuilding-first-model

Process Modeling Cookbook

"How do I model electricity consumption with regional grid mixes?" and "How do I account for transportation in complex supply chains?" are hands-on questions every practitioner faces. This cookbook provides practical recipes for common modeling challenges.

Recipe 1: Electricity with Regional Grid Mixes

The Challenge

Electricity impacts vary dramatically by region:

  • Norway: ~20 g CO₂/kWh (hydro)
  • France: ~60 g CO₂/kWh (nuclear)
  • Germany: ~400 g CO₂/kWh (coal + renewables)
  • Poland: ~700 g CO₂/kWh (coal)

Using the wrong grid mix can completely change your results.

Basic Recipe: Using Database Grid Mixes

Step 1: Identify the correct regional electricity process

In ecoinvent, electricity processes are named:

market for electricity, [voltage] | electricity, [voltage] | [location]

Voltage levels:

  • High voltage: Transmission (large industry)
  • Medium voltage: Distribution (manufacturing)
  • Low voltage: End use (offices, homes)

Example selections:

Needecoinvent Process
German factory electricitymarket for electricity, medium voltage, DE
US consumer electricitymarket for electricity, low voltage, US
Global averagemarket for electricity, medium voltage, GLO

Step 2: Apply appropriate voltage transformation losses

If your data is in primary energy, convert:

Delivered electricity = Primary energy × Grid efficiency (~35-40%)

Most databases already account for this—check your process documentation.

Advanced Recipe: Custom Grid Mix

When needed:

  • Your country isn't in the database
  • You have site-specific renewable energy
  • You want to model future grid scenarios

Step 1: Get generation mix data Sources:

  • IEA Electricity Information
  • Ember Climate (free)
  • National grid operator
  • Company energy bills (for site-specific)

Step 2: Create custom process in openLCA/SimaPro

Custom process: "Electricity, medium voltage, Country X"

Inputs (per 1 kWh at medium voltage):
- Electricity, coal, at power plant: 0.45 kWh × 1.08 (losses) = 0.486 kWh
- Electricity, natural gas, at power plant: 0.30 kWh × 1.08 = 0.324 kWh
- Electricity, hydro, at power plant: 0.15 kWh × 1.08 = 0.162 kWh
- Electricity, solar, at power plant: 0.05 kWh × 1.08 = 0.054 kWh
- Electricity, wind, at power plant: 0.05 kWh × 1.08 = 0.054 kWh

Output:
- Electricity, medium voltage, Country X: 1 kWh

Note: The 1.08 multiplier accounts for ~8% transmission/distribution losses. Adjust based on actual regional data.

Recipe Variations

Scenario: On-site renewable energy

Site electricity = (% grid × grid process) + (% solar × solar process)

Scenario: Hourly matching (advanced) For time-sensitive analysis:

  • Use hourly grid carbon intensity data
  • Match consumption to generation profiles
  • Consider marginal vs. average emissions

Recipe 2: Transportation in Complex Supply Chains

The Challenge

Real supply chains have:

  • Multiple transport modes
  • Varying distances
  • Different vehicle types
  • Return trips (often empty)

Basic Recipe: Single-Mode Transport

Formula:

Transport impact = Mass × Distance × Emission factor

Transport (tkm) = tonnes × kilometers

Database processes:

Modeecoinvent Example
Truck (small)transport, freight, lorry 3.5-7.5t
Truck (large)transport, freight, lorry 16-32t
Railtransport, freight train
Ship (ocean)transport, freight, sea, container ship
Airtransport, freight, aircraft

Example calculation:

Ship 5,000 kg of goods from China to Germany:

Step 1: Sea freight (Shanghai to Hamburg)
- Distance: ~20,000 km
- Transport: 5 t × 20,000 km = 100,000 tkm
- Process: transport, freight, sea, container ship

Step 2: Truck delivery (Hamburg to Munich)
- Distance: ~800 km
- Transport: 5 t × 800 km = 4,000 tkm
- Process: transport, freight, lorry >32t

Advanced Recipe: Full Supply Chain Logistics

Step 1: Map the logistics chain

Supplier → Port → Sea → Port → Warehouse → Factory
   ▲        ▲      ▲      ▲        ▲         ▲
  Truck   Truck   Ship  Truck   Truck     Internal
  (40km) (100km)       (50km)  (300km)

Step 2: Create transport sub-model

LegModeDistanceLoad (t)tkm
Supplier to portTruck 16-32t40 km5.0200
Port handling---(use port process)
Sea freightContainer ship20,000 km5.0100,000
Port to warehouseTruck 16-32t50 km5.0250
Warehouse to factoryTruck 7.5-16t300 km5.01,500
Total101,950

Step 3: Account for packaging and empty returns

Transport with packaging:
- Gross weight = Product (5t) + Packaging (0.5t) = 5.5t
- All tkm calculated on gross weight

Empty return (if applicable):
- Return trip at 20-50% load factor = partial impact
- Or use round-trip database processes

Recipe: Multi-Modal Decision Tool

DistanceTypical ModeImpact (kg CO₂/tkm)
<100 kmVan/small truck0.15-0.30
100-500 kmTruck0.05-0.10
500-2000 kmTruck or railTruck: 0.05, Rail: 0.02
>2000 km landRail0.02-0.03
Ocean (bulk)Ship0.003-0.010
Ocean (container)Ship0.010-0.020
AirAircraft0.50-1.00

Rule of thumb: Air freight ≈ 50× ocean freight per tkm.

Recipe 3: Cement and Concrete Manufacturing

The Challenge

Cement and concrete are critical for construction LCA but complex to model:

  • Cement production has high process emissions (calcination)
  • Concrete mixes vary widely
  • Regional differences are significant

Basic Recipe: Using Database Cement

ecoinvent cement processes:

Process NameUse Case
cement, PortlandGeneral purpose
cement, blast furnace slagLower-carbon alternative
cement, pite calcium aluminateSpecialty applications
concrete, normalReady-mix concrete

Simple concrete modeling:

1 m³ concrete ≈ 300-400 kg cement + 1,800 kg aggregates + 150 L water

Advanced Recipe: Custom Concrete Mix

Step 1: Get mix design data

Example ready-mix concrete (C30/37):
- Portland cement: 350 kg
- Fine aggregate (sand): 700 kg
- Coarse aggregate (gravel): 1,100 kg
- Water: 175 kg
- Admixtures: 3 kg

Step 2: Build custom process

Custom process: "Concrete, C30/37, Site-specific"

Inputs (per 1 m³):
- cement, Portland, local: 350 kg
- gravel, crushed: 1,100 kg
- sand: 700 kg
- tap water: 175 kg
- concrete admixture: 3 kg
- electricity, medium voltage: 5 kWh (mixing)

Output:
- Concrete, C30/37: 2,328 kg (≈1 m³)

Step 3: Add transport if not included

Transport of materials to batching plant:
- Cement from plant (50 km): 350 kg × 50 km = 17.5 tkm
- Aggregates local (20 km): 1,800 kg × 20 km = 36 tkm

Recipe: Low-Carbon Cement Alternatives

Supplementary cementitious materials (SCMs):

SCMReplacement RateCO₂ Reduction
Fly ash (coal)15-30%~15-25%
Blast furnace slag30-70%~30-60%
Silica fume5-10%~5-10%
Calcined clay20-40%~20-35%

Modeling SCM blends:

Blended cement (CEM II/B-S):
- 65% Portland clinker
- 30% blast furnace slag
- 5% gypsum

Use weighted average of component impacts

Recipe 4: Manufacturing Processes

Generic Manufacturing Model

Template for any manufacturing process:

Manufacturing process template:

Inputs:
├── Materials
│   ├── Main material input: X kg
│   ├── Auxiliary materials: Y kg
│   └── Packaging materials: Z kg
├── Energy
│   ├── Electricity: A kWh
│   └── Thermal energy: B MJ
├── Water
│   └── Process water: C L
└── Transport
    └── Input materials: D tkm

Outputs:
├── Products
│   └── Main product: 1 unit
├── Co-products
│   └── Byproduct: E kg
├── Emissions (direct)
│   ├── CO₂: F kg
│   └── VOCs: G kg
└── Waste
    └── Production scrap: H kg

Recipe: Metal Fabrication

Example: Steel component manufacturing

Process: Steel bracket manufacturing (1 unit = 0.5 kg)

Inputs:
- Steel sheet, cold rolled: 0.6 kg (20% scrap rate)
- Electricity (cutting, forming): 0.3 kWh
- Lubricant: 0.005 kg
- Compressed air: 0.1 kWh electricity

Outputs:
- Steel bracket: 0.5 kg
- Steel scrap (to recycling): 0.1 kg
- Waste lubricant: 0.005 kg

Recipe: Plastic Injection Molding

Process: Injection molded part (1 unit = 0.1 kg)

Inputs:
- Polypropylene granules: 0.108 kg (8% process loss)
- Electricity (molding): 0.8 kWh
- Water (cooling): 5 L (closed loop, minimal loss)

Outputs:
- Molded part: 0.1 kg
- PP scrap (recycled internally): 0.008 kg

Recipe: Assembly Operations

For assembly (often overlooked):

Assembly process (1 unit)

Inputs:
- Components: From upstream processes
- Fasteners: X units (screws, rivets, etc.)
- Electricity: 0.1-1.0 kWh (tools, conveyors)
- Packaging: Y kg
- Compressed air: via electricity

Note: Assembly is often &lt;5% of manufacturing impact.
Consider cut-off if not significant.

Recipe 5: End-of-Life Modeling

Waste Treatment Selection

Waste TypeCommon TreatmentDatabase Process
Mixed municipal wasteLandfill + incinerationtreatment of municipal solid waste
Plastic (sorted)Recycling or incinerationtreatment of waste polyethylene
Metal (sorted)Recyclingtreatment of scrap steel
Construction wasteRecycling or landfilltreatment of waste concrete
Hazardous wasteSpecialized treatmenttreatment of hazardous waste

Recipe: Multi-Path End-of-Life

Scenario: Product with mixed materials going to multiple fates

Product end-of-life breakdown:
- Total mass: 1 kg
  ├── Steel (0.5 kg): 80% recycled, 20% landfill
  ├── Plastic (0.3 kg): 50% recycled, 30% incinerated, 20% landfill
  └── Electronics (0.2 kg): 60% WEEE recycling, 40% landfill

Waste treatment processes needed:
- treatment of scrap steel: 0.5 × 0.8 = 0.4 kg
- treatment of steel to landfill: 0.5 × 0.2 = 0.1 kg
- treatment of waste plastic, recycling: 0.3 × 0.5 = 0.15 kg
- treatment of waste plastic, incineration: 0.3 × 0.3 = 0.09 kg
- treatment of waste plastic, landfill: 0.3 × 0.2 = 0.06 kg
- treatment of WEEE: 0.2 × 0.6 = 0.12 kg
- treatment of electronics to landfill: 0.2 × 0.4 = 0.08 kg

Common Modeling Pitfalls

Pitfall 1: Wrong voltage level for electricity

Wrong: Using high voltage for office building Right: Low voltage for offices, medium voltage for factories

Pitfall 2: Forgetting transport

Wrong: Materials appear at factory gate by magic Right: Include transport for all purchased materials

Pitfall 3: Double-counting recycling

Wrong: Recycled input burden-free AND recycling credit at end-of-life Right: Choose one approach consistently

Pitfall 4: Ignoring packaging

Wrong: Only modeling the product itself Right: Include primary, secondary, and tertiary packaging

Pitfall 5: Using annual instead of per-unit data

Wrong: "Factory uses 1 GWh/year electricity" Right: "Product uses 0.5 kWh/unit" (calculate from production volume)

Key Takeaways

  1. Electricity grid mix significantly affects results—use correct regional data
  2. Transport modeling requires mode, distance, and vehicle type
  3. Cement/concrete has high process emissions—use specific mix designs when available
  4. Manufacturing processes follow a template: materials + energy + water → product + waste
  5. End-of-life requires fate percentages for each material stream
  6. Document everything—assumptions, sources, and calculations

Modeling Checklist

For each process in your model:

☐ Correct geographic process selected ☐ Appropriate voltage level for electricity ☐ Transport included for material inputs ☐ Direct emissions estimated or measured ☐ Waste/byproduct treatment included ☐ Data scaled to functional unit ☐ Mass balance verified (inputs ≈ outputs)


Next Steps

With modeling recipes in hand, the next lesson covers Result Validation & Troubleshooting—how to check your results make sense and diagnose common problems.