Model-Based Exergy and Partial Techno-Economic Screening of Hydrogen, Ammonia, E-Diesel, and Waste Cooking Oil Biodiesel Pathways for Heavy-Duty Internal Combustion Engines
Özet
Five pathways—diesel, renewable hydrogen, green ammonia, Fischer–Tropsch e-diesel, and B100 waste cooking oil fatty acid methyl ester (WCO-FAME)—were compared on a common service basis using a reduced-order engine exergy model, a partial techno-economic cost model, and 10,000 Latin hypercube simulation samples; each alternative was paired with diesel by sample index. The results were normalised to 1 kWh of net brake work (kWhb) and 1000 tonne-kilometres of freight work (1000 tkm). A carbon balance back-calculation from European Commission Vehicle Energy Consumption Calculation Tool (VECTO) monitoring data for subgroup 5-Long Haul (5-LH; a 4 × 2 tractor–semitrailer) yielded 89.31 kWhb/1000 tkm; first-order payload penalties increased this requirement to 94.79 kWhb/1000 tkm for hydrogen and 91.97 kWhb/1000 tkm for ammonia. Deterministic central-case exergy efficiencies were 43.02% for hydrogen, 39.67% for e-diesel, 39.35% for diesel, 37.56% for B100, and 33.81% for ammonia. The study-specific partial cost was expressed in 2025 EUR per 1000 tkm and included delivered fuel, maintenance, and annualised incremental vehicle capital; common fleet costs, including driver, tyre, toll, insurance, and tax costs, and externalities were excluded. Therefore, this metric was not a full freight cost or tariff. Deterministic central-case costs were EUR 25.85/1000 tkm for diesel, EUR 26.72/1000 tkm for B100, EUR 58.64/1000 tkm for hydrogen, EUR 59.84/1000 tkm for ammonia, and EUR 67.44/1000 tkm for e-diesel. Hydrogen exceeded diesel in exergy efficiency in 96.50% of the paired simulation samples; all three electrofuel pathways were costlier than diesel in every paired simulation sample, whereas B100 was cheaper than diesel in 35.62% of the paired simulation samples. Thus, hydrogen led in exergy efficiency, diesel in cost under the defined partial economic boundary, and B100 was the closest cost competitor. These are conditional model-screening results rather than a completed comparative life-cycle assessment: no quantitative life-cycle impact assessment (LCIA), environmental ranking or marginal abatement cost result is reported. © 2026 by the author.
Anahtar Kelimeler
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Demirci, Oğuz Kürşat | |
| dc.date.accessioned | 2026-10-18T20:25:26.502403475Z | |
| dc.date.available | 2026-10-18T20:25:26.502403475Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | Five pathways—diesel, renewable hydrogen, green ammonia, Fischer–Tropsch e-diesel, and B100 waste cooking oil fatty acid methyl ester (WCO-FAME)—were compared on a common service basis using a reduced-order engine exergy model, a partial techno-economic cost model, and 10,000 Latin hypercube simulation samples; each alternative was paired with diesel by sample index. The results were normalised to 1 kWh of net brake work (kWhb) and 1000 tonne-kilometres of freight work (1000 tkm). A carbon balance back-calculation from European Commission Vehicle Energy Consumption Calculation Tool (VECTO) monitoring data for subgroup 5-Long Haul (5-LH; a 4 × 2 tractor–semitrailer) yielded 89.31 kWhb/1000 tkm; first-order payload penalties increased this requirement to 94.79 kWhb/1000 tkm for hydrogen and 91.97 kWhb/1000 tkm for ammonia. Deterministic central-case exergy efficiencies were 43.02% for hydrogen, 39.67% for e-diesel, 39.35% for diesel, 37.56% for B100, and 33.81% for ammonia. The study-specific partial cost was expressed in 2025 EUR per 1000 tkm and included delivered fuel, maintenance, and annualised incremental vehicle capital; common fleet costs, including driver, tyre, toll, insurance, and tax costs, and externalities were excluded. Therefore, this metric was not a full freight cost or tariff. Deterministic central-case costs were EUR 25.85/1000 tkm for diesel, EUR 26.72/1000 tkm for B100, EUR 58.64/1000 tkm for hydrogen, EUR 59.84/1000 tkm for ammonia, and EUR 67.44/1000 tkm for e-diesel. Hydrogen exceeded diesel in exergy efficiency in 96.50% of the paired simulation samples; all three electrofuel pathways were costlier than diesel in every paired simulation sample, whereas B100 was cheaper than diesel in 35.62% of the paired simulation samples. Thus, hydrogen led in exergy efficiency, diesel in cost under the defined partial economic boundary, and B100 was the closest cost competitor. These are conditional model-screening results rather than a completed comparative life-cycle assessment: no quantitative life-cycle impact assessment (LCIA), environmental ranking or marginal abatement cost result is reported. © 2026 by the author. | |
| dc.identifier.doi | 10.3390/pr14172764 | |
| dc.identifier.eissn | 2227-9717 | |
| dc.identifier.issn | 2227-9717 | |
| dc.identifier.issue | 17 | |
| dc.identifier.scopus | 2-s2.0-105050375526 | |
| dc.identifier.startpage | 2764 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/ebyu/10183 | |
| dc.identifier.volume | 14 | |
| dc.identifier.wos | WOS:001872890200001 | |
| dc.language.iso | en | |
| dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | |
| dc.relation.ispartof | Processes | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | ammonia | |
| dc.subject | e-diesel | |
| dc.subject | heavy-duty engine | |
| dc.subject | hydrogen | |
| dc.subject | Latin hypercube sampling | |
| dc.subject | partial techno-economic screening | |
| dc.subject | reduced-order exergy model | |
| dc.subject | reproducibility | |
| dc.subject | VECTO | |
| dc.subject | waste cooking oil biodiesel | |
| dc.subject | Brakes | |
| dc.subject | Cost reduction | |
| dc.subject | Diesel engines | |
| dc.subject | Economic analysis | |
| dc.subject | Exergy | |
| dc.subject | Fleet operations | |
| dc.subject | Hydrogen fuels | |
| dc.subject | Taxation | |
| dc.subject | Waste incineration | |
| dc.subject | Calculation tools | |
| dc.subject | Consumption calculation | |
| dc.subject | Exergy modeling | |
| dc.subject | Heavy duty engines | |
| dc.subject | Reduced order | |
| dc.subject | Reproducibilities | |
| dc.subject | Techno-economics | |
| dc.subject | Vehicle energy consumption | |
| dc.subject | Vehicle energy consumption calculation tool | |
| dc.subject | Waste cooking oil | |
| dc.title | Model-Based Exergy and Partial Techno-Economic Screening of Hydrogen, Ammonia, E-Diesel, and Waste Cooking Oil Biodiesel Pathways for Heavy-Duty Internal Combustion Engines | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| rdl.citation.scopus | 0 | |
| rdl.citation.wos | 0 | |
| rdl.oa.status | gold | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) |
