RT info:eu-repo/semantics/article
T1 Experimental and modeling insights into excess molar enthalpy of alcohol–additive ternary mixtures at 298.15 and 313.15 K
A1 Samadi, Khaoula
A1 Lifi, Mohamed
A1 Briones Llorente, Raúl
A1 Aguilar Romero, Fernando
A1 Alaoui, Fatima E. M.
K1 Excess molar enthalpy
K1 Ternary mixtures
K1 Oxygenated additives ·
K1 Redlich–Kister correlation
K1 Local composition Models
K1 Termodinámica química
K1 Thermochemistry
K1 Política ambiental
K1 Environmental policy
AB The increasing demand for cleaner energy carriers has intensified interest in liquid fuel blends containing oxygenated compounds such as alcohols and glycol ethers. These additives improve combustion efficiency and reduce environmental impact. In this work, excess molar enthalpies were determined for a binary mixtures (ethanol + 1-propanol; diethylene glycol monoethyl ether + 1-propanol; and ethylene glycol monophenyl ether + ethanol) as well as for four ternary mixtures: diethylene glycol monomethyl ether (1) + 1-propanol (2) + ethanol (3), diethylene glycol monoethyl ether (1) + 1-propanol (2) + ethanol (3), ethylene glycol monomethyl ether (1) + 1-propanol (2) + ethanol (3), and ethylene glycol monophenyl ether (1) + 1-propanol (2) + ethanol (3). Measurements were obtained with a quasi-isothermal flow calorimeter at 298.15 K and 313.15 K under 0.1 MPa, conditions representative of typical industrial applications. The experimental data were then correlated using the Redlich–Kister equation for the binary system and the NRTL, UNIQUAC, and modified UNIFAC (Dortmund) models for the ternary systems, enabling evaluation of both mixture behavior and model accuracy. The findings expand the thermodynamic database for alcohol- and glycol ether-based blends and provide benchmarks for simulation and design in energy and petrochemical processes.
PB Springer
SN 1388-6150
YR 2026
FD 2026-03
LK https://hdl.handle.net/10259/11616
UL https://hdl.handle.net/10259/11616
LA eng
NO Open access funding provided by FEDER European Funds and the Junta de Castilla y León under the Research and Innovation Strategy for Smart Specialization (RIS3) of Castilla y León 2021-2027. This work was supported by open-access funding provided by UNIVERSIDAD DE BURGOS.
DS Repositorio Institucional de la Universidad de Burgos
RD 16-may-2026