Sustainable and Alternative-Energy Fleets

Introduction

Fleet operations are undergoing a structural transition. Pressure to reduce greenhouse-gas emissions, volatile petroleum prices, urban air-quality requirements, investor expectations, and customer sustainability commitments are changing how vehicles are selected, routed, maintained, and replaced. For logistics managers, sustainability is not simply a vehicle-purchasing issue. It is an integrated operational decision involving vehicle utilisation, payload, route design, driver behaviour, energy infrastructure, asset life, electricity or fuel supply, regulation, and financial risk.

A sustainable fleet delivers required transport service with the least practicable lifecycle environmental impact while maintaining safety, reliability, legal compliance, and acceptable cost. This chapter develops a managerial and analytical framework for measuring emissions and energy use, applying eco-driving and green-routing practices, and evaluating battery-electric, hydrogen, and other alternative-fuel fleets.

Learning objectives

By the end of this chapter, the reader should be able to:

1. Distinguish tailpipe, well-to-wheel, and lifecycle emissions.
2. Calculate basic fuel, energy, carbon, and operational-intensity measures.
3. Explain how speed, idling, payload, congestion, and driving style affect energy use.
4. Apply eco-driving and green-routing principles without compromising service.
5. Compare battery-electric, hydrogen, renewable-fuel, biofuel, and hybrid options.
6. Assess charging, refuelling, range, battery degradation, and infrastructure constraints.
7. Incorporate total cost, risk, regulation, and lifecycle considerations into fleet decisions.
8. Evaluate the role and limitations of telematics, optimisation, and artificial intelligence.

1. What makes a fleet sustainable?

Fleet sustainability has at least four dimensions:

• Environmental performance: greenhouse gases, nitrogen oxides, particulate matter, noise, water use, and material impacts.
• Operational performance: availability, range, payload, charging or refuelling time, schedule adherence, and resilience.
• Economic performance: acquisition cost, energy cost, maintenance, infrastructure, residual value, and cost per delivery.
• Social and governance performance: worker safety, community exposure to pollution, ethical sourcing, transparent reporting, and regulatory compliance.

A fleet should therefore be assessed as a service system rather than as a collection of vehicles. Replacing diesel vehicles with electric vehicles can reduce local emissions, but the result depends on electricity generation, vehicle utilisation, battery manufacture, charging losses, and the production of replacement batteries. Conversely, a highly efficient conventional vehicle used intensively may outperform a poorly utilised alternative-energy vehicle on some operational measures. Such comparisons must use a common functional unit, such as kilograms of CO₂-equivalent per tonne-kilometre or per completed delivery.

Important emissions boundaries

Tailpipe emissions are released during vehicle operation. Battery-electric vehicles have no tailpipe exhaust emissions, although tyres and brakes still generate particulate matter. Well-to-wheel emissions include energy production, processing, transmission, distribution, and vehicle use. Lifecycle emissions additionally include vehicle and battery manufacture, infrastructure, maintenance, recycling, and end-of-life treatment.

The boundaries must be stated in a report. Comparing tailpipe diesel emissions with lifecycle electric emissions is analytically invalid because the boundaries differ.

2. Measuring energy and emissions

Fuel and energy intensity

For a liquid-fuel vehicle, fuel intensity is commonly stated in litres per 100 kilometres. If a vehicle consumes F litres over distance d kilometres, then:

where I_f is fuel intensity in L/100 km. This relationship assumes that distance and fuel consumed are measured over the same operating period and that refuelling records or telematics are reliable.

For an electric vehicle, electricity intensity may be expressed as kilowatt-hours per kilometre:

where I_e is electricity intensity in kWh/km, E is electricity drawn from the charging system in kWh, and d is distance in kilometres. If E is measured at the charger, it includes charging losses; if it is measured by the vehicle, it may not. The measurement point must be recorded.

Energy can be compared across fuels using lower heating value or another consistently selected energy basis. For operational management, however, direct energy cost and carbon intensity are often more useful than converting every fuel into a common energy unit.

Direct carbon calculation

If a vehicle consumes F units of fuel and the emission factor is e kilograms of CO₂-equivalent per unit of fuel, operational emissions are:

G is emissions in kg CO₂e. For distance-normalised emissions:

where G_d is kg CO₂e/km. The factor must identify whether it represents tailpipe combustion only or includes upstream emissions.

For electricity:

where EF_e is the electricity emission factor in kg CO₂e/kWh. If charging occurs across several locations, the calculation should use location-specific or time-specific factors where available.

Worked example: comparing operational emissions

An urban diesel van uses 10 L/100 km and travels 18,000 km annually. Its stated combustion factor is 2.68 kg CO₂e/L. An electric van consumes 0.24 kWh/km from the charger. The electricity factor is 0.35 kg CO₂e/kWh.

Diesel consumption is:

Diesel emissions are:

Electricity consumption is:

Electricity-related emissions are:

On the stated operational boundary, the electric van reduces emissions by 3,312 kg CO₂e annually, or approximately 68.7%. This is not a complete lifecycle result: manufacturing, battery production, vehicle disposal, and upstream fuel emissions have not been included.

Productivity-adjusted metrics

Distance-only measures can reward empty running or penalise a vehicle that carries more freight. Useful indicators include:

• kg CO₂e per vehicle-kilometre;
• kg CO₂e per tonne-kilometre;
• kg CO₂e per parcel or delivery;
• kWh per tonne-kilometre;
• emissions per completed route or customer order.

For freight productivity, if G is emissions in kg CO₂e, payload P is tonnes, and d is kilometres, then:

This formula assumes payload is reasonably constant over the measured movement. For multi-stop routes, a more precise calculation uses the tonne-kilometres actually carried on each leg. Empty repositioning should remain in the numerator and be represented honestly in the denominator or separately reported.

3. Operational drivers of energy consumption

Energy demand is determined by vehicle mass, aerodynamic drag, rolling resistance, road gradient, acceleration, auxiliary loads, weather, traffic, and speed. A simplified longitudinal force model is:

where F_t is tractive force, F_rr is rolling-resistance force, F_a is aerodynamic drag, F_g is grade force, and F_acc is acceleration force. On a level road, a simplified representation is:

Here C_rr is rolling-resistance coefficient, m is vehicle mass in kg, g is gravitational acceleration in m/s², ρ is air density in kg/m³, C_d is drag coefficient, A is frontal area in m², v is speed in m/s, and a is acceleration in m/s². The expression excludes drivetrain losses and assumes the road is approximately level.

The aerodynamic term increases with v² as a force and approximately with v³ as power demand because power equals force multiplied by speed. Consequently, reducing excessive motorway speed can produce substantial savings. Frequent acceleration also increases energy demand, although regenerative braking can recover part—not all—of the kinetic energy in an electric or hybrid vehicle.

Key operational influences include:

• Idling: consumes fuel or auxiliary energy without producing distance; heating and refrigeration loads may continue even when stationary.
• Payload: increases rolling resistance, acceleration energy, tyre wear, and sometimes grade energy.
• Congestion: produces repeated acceleration, braking, and idle time.
• Cold or hot weather: increases heating or cooling demand and may reduce battery performance.
• Tyre pressure: underinflation increases rolling resistance and safety risk.
• Vehicle utilisation: a low-emission vehicle that makes unnecessary empty trips may have poor emissions per delivery.

4. Eco-driving and green routing

Eco-driving

Eco-driving is the systematic reduction of avoidable energy use through vehicle operation and maintenance. Practices include smooth acceleration, anticipation of traffic, avoiding unnecessary idling, maintaining appropriate speed, correct tyre pressure, reduced excess weight, proper use of cruise control where safe, and efficient use of heating, ventilation, and air conditioning.

Eco-driving programmes work best when they combine training, feedback, fair performance measures, and maintenance support. A driver should not be penalised for high consumption caused by payload, traffic, weather, or a poorly maintained vehicle. Telematics can identify harsh acceleration, harsh braking, speeding, excessive idle time, and route deviations, but data should be interpreted in operational context.

Safety remains dominant. Coasting, speed reduction, or regenerative braking must never encourage unsafe following distances or delayed hazard response.

Green routing

Traditional routing minimises distance or travel time. Green routing minimises energy, emissions, or a weighted combination of cost and service. A general route objective can be represented as:

where T is travel time, C is monetary operating cost, G is emissions or energy use, R is a risk or service-penalty term, and α, β, γ, and δ are managerial weights. The weights must be documented because different choices produce different routes.

Green routing may use lower-speed roads, avoid steep gradients, reduce congestion exposure, consolidate stops, select charging-compatible routes, or schedule departures when renewable electricity is more available. It must also respect vehicle capacity, delivery windows, driver hours, road restrictions, battery state of charge, charging duration, and customer requirements.

A route that is environmentally superior in isolation may be inferior system-wide if it requires an additional vehicle, creates overtime, increases failed deliveries, or causes a return journey with low utilisation. Routing decisions should therefore be evaluated using total route emissions and service performance.

5. Alternative-energy fleet technologies

Battery-electric vehicles

Battery-electric vehicles (BEVs) use electricity stored in a traction battery. Their advantages include high drivetrain efficiency, zero tailpipe exhaust, quiet operation, regenerative braking, and potentially lower maintenance. Their constraints include acquisition cost, battery mass, charging time, limited range under severe conditions, charging-site capacity, and battery-material supply.

A simple usable-energy range estimate is:

where R is range in km, E_u is usable battery energy in kWh, and e_d is energy consumption in kWh/km. Usable energy is less than nominal battery capacity because manufacturers and operators generally reserve upper and lower state-of-charge margins. Real range varies with speed, payload, temperature, terrain, traffic, auxiliary loads, and battery age. A planner should include an operational reserve rather than schedule to the theoretical maximum.

Charging infrastructure

Charging decisions involve more than charger power. The operator must assess:

• vehicle dwell time and daily energy requirement;
• depot electrical capacity and connection lead time;
• charger utilisation and simultaneous charging;
• managed charging and peak-demand tariffs;
• public-charging reliability and access;
• space, safety, fire protection, and cabling;
• interoperability, payment, data, and cybersecurity;
• backup arrangements for outages.

Nominal charging time can be approximated by:

where t_c is charging time in hours, E_r is energy required in kWh, and P_c is charger power in kW. This is an approximation. Actual charging may be slower because of battery temperature, state-of-charge limits, vehicle acceptance rate, tapering at high state of charge, and charger losses.

Managed charging can reduce peak demand by staggering start times and prioritising vehicles according to next-departure time, route energy requirement, and minimum state of charge. It should not create a situation in which too many vehicles are technically connected but operationally unavailable.

Hydrogen fuel-cell vehicles

Fuel-cell electric vehicles convert hydrogen into electricity onboard, producing water at the vehicle exhaust. They can offer long range, rapid refuelling, and suitability for high-utilisation or heavy-duty operations. Challenges include the cost and availability of hydrogen stations, hydrogen compression and storage, limited network coverage, hydrogen leakage concerns, and the energy intensity of hydrogen production and distribution.

Hydrogen should be classified by production pathway and carbon intensity rather than by colour labels alone. Hydrogen produced from renewable electricity may have low lifecycle emissions, while hydrogen made from unabated fossil fuel can have substantial emissions. A fleet procurement decision requires verified source and chain-of-custody information.

Renewable diesel, biodiesel, biogas, and hybrids

Renewable diesel can often be used in compatible diesel equipment with fewer operational changes than electrification, but feedstock availability, indirect land-use effects, sustainability certification, and lifecycle emissions must be assessed. Biodiesel blends may have compatibility and cold-weather considerations. Biomethane can reduce lifecycle emissions when produced from suitable waste feedstocks, but gas leakage and upstream accounting are important.

Hybrid vehicles combine an internal-combustion engine with electric propulsion and may reduce fuel use in stop-start urban operations. Plug-in hybrids can achieve low emissions when regularly charged and operated within electric range; otherwise their real-world performance may approach that of conventional vehicles. A hybrid is not automatically sustainable merely because it contains a battery.

6. Battery lifecycle and circularity

Battery assessment should include raw-material extraction, cell manufacture, pack assembly, transport, use, repair, second-life applications, recycling, and disposal. Important variables include chemistry, capacity, depth of discharge, temperature, charging rate, calendar age, and operating profile.

Battery state of health (SoH) is commonly expressed as the ratio of current usable capacity to reference capacity:

where C_t is usable capacity at time t and C_0 is reference usable capacity when new. SoH is not a complete measure of performance: power capability, internal resistance, safety condition, and warranty thresholds also matter.

Good practice includes avoiding unnecessary extreme temperatures, using thermal management, following manufacturer charging guidance, monitoring abnormal degradation, repairing modules where economically and safely possible, and maintaining traceability for end-of-life batteries. Second-life use may be appropriate for stationary storage, but it requires testing, warranty allocation, fire protection, and a clear residual-value assumption. Recycling routes and producer-responsibility obligations vary by jurisdiction.

7. Total cost and investment appraisal

A fleet comparison should use total cost of ownership (TCO), not purchase price alone. A simplified annual TCO is:

where A_a is annualised acquisition cost, E_a is energy cost, M_a is maintenance, I_a is infrastructure cost allocated to the vehicle or fleet, T_a is taxes, insurance, and compliance cost, R_a is risk or downtime cost, and S_a is residual or salvage value credited to the period. The terms must be measured over the same time horizon and price basis.

For a capital asset costing K, with residual value V after n years and a straight-line annualisation assumption, annual capital cost is:

This is not a discounted cash-flow method. For investment decisions, managers should also calculate net present value using a stated discount rate, energy-price scenarios, infrastructure timing, tax treatment, grants, and uncertainty. Break-even analysis should test mileage, electricity and fuel prices, battery replacement probability, residual values, and downtime.

Environmental cost should not be double-counted. For example, if a carbon price is included in energy cost, it should not also be added as a separate identical emissions charge unless the accounting purpose is explicitly different.

8. Regulation, governance, and ethics

Regulatory requirements differ by jurisdiction but commonly address vehicle emissions, fuel quality, low-emission zones, reporting, charging standards, dangerous goods, battery transport, worker safety, and waste management. Managers must verify current national and local rules rather than relying on general claims.

Governance priorities include:

• documented emissions boundaries and emission factors;
• auditable energy and mileage data;
• supplier claims supported by evidence;
• transparent treatment of renewable-energy certificates and offsets;
• cybersecurity for connected chargers and vehicles;
• privacy protections for driver and location data;
• consultation with drivers, maintenance workers, communities, and emergency services.

A sustainability claim is misleading if it reports only a favourable operational boundary while omitting material upstream impacts. Carbon offsets should not substitute for direct energy efficiency and fleet transition measures, and their quality, additionality, permanence, and verification must be examined.

9. Telematics, optimisation, and artificial intelligence

Telematics can combine GPS, fuel or electricity data, engine diagnostics, charging records, traffic, weather, and delivery information. These data support route analysis, driver coaching, predictive maintenance, state-of-charge planning, and emissions reporting.

AI can forecast energy consumption, recommend charging windows, estimate arrival times, detect anomalous consumption, and solve complex vehicle-routing problems. However, optimisation models can reproduce data bias, recommend infeasible routes, or prioritise emissions at the expense of safety and service equity. Human accountability remains necessary. A robust deployment uses verified data, constraint checks, explainable recommendations, pilot testing, and override procedures.

10. Illustrative case: electrifying an urban delivery depot

Background

A parcel operator runs 40 diesel vans from one depot. Each van travels approximately 18,000 km per year. Management is considering 20 BEVs for routes with predictable daily mileage. The remaining routes include long rural distances and uncertain public charging access.

Problem

The operator must determine whether partial electrification will reduce emissions without increasing failed deliveries, overtime, or depot peak demand.

Analysis

Route data are segmented by daily distance, payload, dwell time, gradient, temperature, and delivery-window variability. Vans averaging 130 km per day have a strong initial fit. A BEV with 60 kWh usable energy and an observed planning intensity of 0.24 kWh/km has an approximate nominal operating range of:

The depot nevertheless applies a 20% operational reserve, giving a planning range of approximately 200 km. This reserve is not a universal rule; it must be calibrated using local weather, terrain, degradation, and service requirements.

The depot installs overnight chargers and a managed-charging system. Vehicles with early departures receive priority, while charging is staggered to remain within the electrical connection limit. A contingency plan reserves two diesel vans and a public-charging agreement for exceptional routes.

Solution and outcome

The operator begins with a controlled pilot rather than replacing 20 vehicles immediately. It records energy drawn at the charger, route kilometres, payload, temperature, state of charge, delivery success, charging failures, maintenance events, and driver feedback. Eco-driving coaching is introduced for all vehicles, preventing the comparison from confusing vehicle technology with behavioural improvement.

The pilot demonstrates that 14 routes are operationally suitable immediately, four require schedule changes, and two remain unsuitable during winter. The fleet therefore adopts 14 BEVs initially, expands depot capacity in phases, and retains conventional vehicles for routes where electrification would create disproportionate service risk. The key outcome is not the largest possible number of electric vehicles, but the largest reliable reduction in lifecycle and operational impact consistent with service obligations.

Learning points

1. Route suitability should precede vehicle procurement.
2. Usable range and reserve matter more than brochure range.
3. Infrastructure is an operational asset requiring capacity planning.
4. Pilot data should include service and worker outcomes, not only energy.
5. Partial electrification can be rational when route heterogeneity is high.

Challenges and limitations

Sustainable-fleet analysis faces several limitations. Emission factors differ by country, supplier, season, and accounting method. Real-world energy use may diverge substantially from laboratory ratings. Lifecycle studies use different system boundaries and assumptions about battery size, electricity mix, vehicle lifetime, recycling, and replacement. Infrastructure may be constrained by grid connection delays rather than charger availability. Alternative-fuel supply chains may not scale at the rate assumed in strategic plans.

There are also organisational barriers: capital budgets and operating budgets may be controlled separately; drivers may distrust monitoring; maintenance teams may lack high-voltage or hydrogen competence; and procurement contracts may reward low acquisition price rather than lifecycle value. These barriers require cross-functional governance, training, staged investment, and transparent performance measures.

Best-practice implementation framework

A practical fleet transition can follow this sequence:

1. Establish a baseline of vehicles, routes, loads, fuel, energy, costs, emissions, downtime, and service results.
2. Define boundaries, functional units, emission factors, and data-quality rules.
3. Segment routes by distance, payload, dwell time, terrain, temperature, and charging opportunity.
4. Apply low-cost measures first: maintenance, tyre management, idling reduction, load planning, and eco-driving.
5. Model technology options using TCO, lifecycle emissions, resilience, and regulatory scenarios.
6. Assess grid, hydrogen, or fuel infrastructure before ordering vehicles.
7. Pilot representative routes and adverse conditions.
8. Train drivers, technicians, planners, emergency responders, and managers.
9. Monitor energy, safety, availability, customer service, and emissions together.
10. Scale in stages, review assumptions, and retire assets responsibly.

Chapter Summary

Sustainable fleet management integrates environmental performance with operational reliability, cost, safety, and governance. Tailpipe, well-to-wheel, and lifecycle boundaries must be distinguished. Fuel and electricity intensity, carbon factors, and productivity-adjusted indicators provide the basis for measurement. Energy demand is influenced by mass, speed, aerodynamics, gradients, acceleration, traffic, weather, auxiliary loads, and maintenance.

Eco-driving reduces avoidable consumption, while green routing incorporates energy and emissions alongside time, cost, capacity, and service constraints. Battery-electric vehicles are especially suitable for predictable, high-dwell routes, but range, charging power, grid capacity, degradation, and battery lifecycle must be managed. Hydrogen can support high-utilisation operations where reliable low-carbon supply and refuelling infrastructure exist. Renewable fuels and hybrids may provide transitional or route-specific value, but their lifecycle impacts and real-world use must be verified.

A credible fleet strategy uses total cost of ownership, lifecycle assessment, pilot evidence, auditable data, worker participation, and staged implementation. Technology and AI can improve forecasting and optimisation, but they do not replace professional judgement, safety controls, or accountability.

Key Terms

Alternative-energy fleet: Vehicles powered partly or wholly by non-conventional petroleum energy sources.

Battery-electric vehicle (BEV): Vehicle propelled by electricity stored in a rechargeable battery.

Carbon intensity: Emissions associated with a unit of fuel, electricity, transport work, or economic output.

Eco-driving: Driving and maintenance practices that reduce avoidable energy consumption and emissions.

Emission factor: Quantity of emissions associated with a unit of fuel, electricity, distance, or activity.

Green routing: Route planning that explicitly considers energy, emissions, or environmental objectives.

Hydrogen fuel-cell vehicle: Electric vehicle whose electricity is produced onboard from hydrogen in a fuel cell.

Lifecycle assessment: Evaluation of environmental impacts across a product or service’s life stages.

Operational reserve: Energy or range deliberately retained to protect against uncertainty and disruption.

Regenerative braking: Recovery of part of braking energy into an electric vehicle’s battery.

State of charge: Proportion of available battery energy currently stored.

State of health: Indicator of battery condition relative to a defined reference condition.

Tailpipe emissions: Emissions released directly from a vehicle during operation.

Total cost of ownership: Acquisition, operating, infrastructure, risk, and residual-value costs over an asset’s life.

Tonne-kilometre: Transport work represented by one tonne moved one kilometre.

Well-to-wheel emissions: Upstream energy-supply and vehicle-use emissions combined.

Managed charging: Coordinated control of charging time and power to meet operational and grid objectives.

Renewable diesel: Diesel-like fuel produced from renewable feedstocks through processes compatible with specified engines.

Review Questions

Short Answer Questions

1. Distinguish tailpipe, well-to-wheel, and lifecycle emissions.
2. Why should route emissions be reported per delivery or tonne-kilometre as well as per vehicle-kilometre?
3. Identify four operational factors that increase vehicle energy consumption.
4. What is the purpose of an operational range reserve?
5. State two limitations of using nominal charging time as a planning measure.

Long Answer Questions

1. Explain how eco-driving, maintenance, and telematics can be combined into a fleet energy-management programme.
2. Compare BEVs, hydrogen fuel-cell vehicles, and renewable fuels for urban and long-haul logistics.
3. Explain why charging infrastructure must be planned as part of fleet operations rather than treated as a procurement afterthought.
4. Discuss how lifecycle assessment and total cost of ownership complement one another in fleet decisions.
5. Evaluate the governance and ethical risks associated with connected vehicles and AI-based fleet optimisation.

Analytical / Application Questions

1. A van travels 25,000 km annually at 9 L/100 km. Using an emission factor of 2.68 kg CO₂e/L, calculate annual operational emissions. Then explain what additional information is needed for a lifecycle comparison with a BEV.
2. A BEV uses 0.28 kWh/km from the charger and completes a 160 km route. The electricity factor is 0.30 kg CO₂e/kWh. Calculate route electricity use and operational emissions. Discuss two reasons actual results could differ.
3. A depot has routes with highly variable distances and payloads. Design a pilot methodology for deciding which routes should be electrified first, including data, constraints, success measures, and stop/go criteria.

Multiple Choice Questions with Answers

Question 1

Which emissions boundary includes vehicle manufacture, energy production, use, and end-of-life treatment?

A. Tailpipe

B. Lifecycle

C. Tank-to-wheel only

D. Direct combustion

Correct Answer: B. Lifecycle

Question 2

A vehicle consumes 12 L over 150 km. What is its fuel intensity?

A. 8 L/100 km

B. 10 L/100 km

C. 12 L/100 km

D. 18 L/100 km

Correct Answer: B. 10 L/100 km

Question 3

An electric van uses 0.25 kWh/km and travels 200 km. How much electricity does it use, assuming the stated intensity is measured at the charger?

A. 50 kWh

B. 80 kWh

C. 125 kWh

D. 200 kWh

Correct Answer: A. 50 kWh

Question 4

Which factor generally increases aerodynamic power demand most strongly as speed rises?

A. Vehicle colour

B. Aerodynamic drag

C. Number of delivery labels

D. Battery warranty length

Correct Answer: B. Aerodynamic drag

Question 5

What is the principal purpose of an operational range reserve?

A. To increase brochure range

B. To protect service reliability against uncertainty

C. To eliminate charging losses

D. To reduce battery capacity to zero

Correct Answer: B. To protect service reliability against uncertainty

Question 6

Which statement about nominal charging time is most accurate?

A. It always equals energy required divided by charger power

B. It is unaffected by state of charge

C. It is an approximation because charging can taper and losses occur

D. It applies only to diesel vehicles

Correct Answer: C. It is an approximation because charging can taper and losses occur

Question 7

A battery has 54 kWh usable capacity when new and 45 kWh at time t. What is its state of health?

A. 72.0%

B. 80.0%

C. 83.3%

D. 120.0%

Correct Answer: C. 83.3%

Question 8

Which measure best represents freight transport productivity when payload varies?

A. Vehicle colour per kilometre

B. Emissions per tonne-kilometre

C. Charging plugs per depot

D. Distance per tyre

Correct Answer: B. Emissions per tonne-kilometre

Question 9

What is a key requirement for a credible green-routing model?

A. Ignoring delivery windows

B. Optimising emissions without capacity or safety constraints

C. Including operational constraints such as capacity, time windows, and energy availability

D. Selecting the longest route

Correct Answer: C. Including operational constraints such as capacity, time windows, and energy availability

Question 10

Which hydrogen characteristic must be examined before claiming low lifecycle emissions?

A. Vehicle paint colour

B. Production pathway and verified carbon intensity

C. Number of depot doors

D. Driver uniform design

Correct Answer: B. Production pathway and verified carbon intensity