{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T05:17:36Z","timestamp":1737004656824,"version":"3.33.0"},"publisher-location":"Switzerland","reference-count":25,"publisher":"Trans Tech Publications Ltd","license":[{"start":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T00:00:00Z","timestamp":1736899200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.scientific.net\/PolicyAndEthics\/PublishingPolicies"},{"start":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T00:00:00Z","timestamp":1736899200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.scientific.net\/license\/TDM_Licenser.pdf"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>This work minimises the operational costs of synthetic jet fuel production (C<jats:sub>8<\/jats:sub> \u2013 C<jats:sub>16<\/jats:sub> hydrocarbon range) by manipulating five operating parameters of the power-to-liquid (PtL) process. Conservative estimates for variable expenses (90<jats:sup>th<\/jats:sup> percentiles of historical costs) and revenues (10<jats:sup>th<\/jats:sup> percentiles of prices for revenues) were assumed for optimisation of the simulation in Aspen Plus<jats:sup>TM<\/jats:sup> software. The distributions of costs under parametric uncertainty were obtained using the Monte Carlo algorithm. Two optimisation scenarios for cost minimisation were developed. They differ on the assumption that CO<jats:sub>2<\/jats:sub> emitted to air is taxed. An additional optimisation scenario targets the maximization of jet fuel production. In comparison to the non-optimised case, the optimised configurations reduce CO<jats:sub>2<\/jats:sub> emissions between 17 and 19% while decreasing the operating costs of jet fuel production by at least 0.80 \u2013 1.89 \u20ac \/ L (depending on the scenario) with a stochastic probability of 90%, and a probability of 50% of reducing them by 0.93 \u2013 2.09 \u20ac \/ L.<\/jats:p>","DOI":"10.4028\/p-h0dl2d","type":"proceedings-article","created":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T07:16:13Z","timestamp":1736925373000},"page":"95-100","source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Jet Fuel Production: Cutting Costs and CO&lt;sub&gt;2&lt;\/sub&gt; Emissions of Power-to-Liquid Technology"],"prefix":"10.4028","volume":"159","author":[{"given":"Gustavo P.","family":"Rangel","sequence":"first","affiliation":[{"name":"CoLAB NET4CO2 - Network for a Sustainable CO2 Economy"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5823-1617","authenticated-orcid":false,"given":"Marcelino L.","family":"Fernandes","sequence":"additional","affiliation":[{"name":"CoLAB NET4CO2 - Network for a Sustainable CO2 Economy"}]},{"given":"Hugo R.","family":"Matias","sequence":"additional","affiliation":[{"name":"CoLAB NET4CO2 - Network for a Sustainable CO2 Economy"}]},{"given":"Belmira","family":"Neto","sequence":"additional","affiliation":[{"name":"University of Porto"}]}],"member":"2457","published-online":{"date-parts":[[2025,1,15]]},"reference":[{"key":"5798191","unstructured":"Esqu\u00e9, A., Franz, F., Mulder, G., Riedel, R., Riefer, D.,, Decarbonizing aviation: Executing on net-zero goals. 2023."},{"key":"5798192","unstructured":"IATA, Global Outlook for Air Transport: Highly Resilient, Less Robust. 2023."},{"key":"5798193","unstructured":"IEA, Energy Technology Perspectives. 2020."},{"key":"5798194","unstructured":"IEA, The Role of E-fuels in Decarbonising Transport. 2024."},{"issue":"3","key":"5798195","doi-asserted-by":"publisher","first-page":"1114","DOI":"10.3390\/en15031114","article-title":"Economic and Environmental Potential of Large-Scale Renewable Synthetic Jet Fuel Production through Integration into a Biomass CHP Plant in Sweden","volume":"15","author":"Fagerstr\u00f6m","year":"2022","unstructured":"Fagerstr\u00f6m, A., et al., Economic and Environmental Potential of Large-Scale Renewable Synthetic Jet Fuel Production through Integration into a Biomass CHP Plant in Sweden. 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