Diagrammes entropiques pour des mélanges ammoniac-eau: applications aux systèmes frigorifiques à absorption

• Autor(a) principal: Napoleao, Diovana Aparecida dos Santos
• Data de Publicação: 2017
• Outros Autores: Silveira, Jose Luz [UNESP], Giacaglia, Giorgio Eugenio Oscare, Lamas, Wendell de Queiroz [UNESP], Araujo, Fernando Henrique Mayworm [UNESP]
• Tipo de documento: Artigo
• Idioma: eng; fra
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1016/j.ijrefrig.2017.06.030; http://hdl.handle.net/11449/175010
• topic: Absorption refrigeration system (ARS); Ammonia–water mixtures; Entropy diagrams; Thermodynamic properties

The objective of this work is to calculate the entropy of ammonia–water mixture as a function of temperature, pressure, concentration, and other thermodynamic properties associated to absorption process, to support energy and exergy analysis of absorption refrigeration systems. This calculation is possible because a novel mathematical modelling was developed for this attempt. This determination will allow simulation and optimisation of absorption refrigeration systems, giving major importance in determining the values of thermodynamic properties of ammonia–water mixtures, such as enthalpy and entropy. A mathematical modelling for thermodynamics properties calculation at liquid and vapour phases of ammonia–water system is developed. The studies were based on the enthalpy vs. concentration diagram obtaining the enthalpy in the liquid phase corresponding at a temperature range from 80 °C to −40 °C. The mixtures enthalpy values were calculated for ammonia (h1c) and water (h2c) by using a non-linear regression program. The evaluation of thermodynamic properties in this work was discretised by formulating appropriate equations for each type of substance. However, thermodynamic properties of mixtures can be determined based on data from simple substances and mixing laws, or from an equation of state that considers the mixture concentration. The consistency of experimental data indicates the most suitable method to be used in entropy calculation.