<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-23T21:09:16Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/25384" metadataPrefix="dim">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/25384</identifier><datestamp>2021-06-29T17:35:02Z</datestamp><setSpec>com_10324_38</setSpec><setSpec>col_10324_852</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
<dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="es" authority="2e2c70fb1d440c2a" confidence="500" orcid_id="0000-0002-8176-4381">Peña Miranda, María del Mar Agripina</dim:field>
<dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="es" authority="70309b58-12a9-4452-b257-06cb89612c10" confidence="500" orcid_id="">Manenti, Flavio</dim:field>
<dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="es" authority="65441fe5-419d-4917-a4ab-e8fe2c401f18" confidence="500" orcid_id="">Previtali, Daniele</dim:field>
<dim:field mdschema="dc" element="contributor" qualifier="author" authority="ed74f7da-2e7b-4698-bad9-ccbdb4b11bd0" confidence="500" orcid_id="">Gimeno Sanz, Alberto Nicolás</dim:field>
<dim:field mdschema="dc" element="contributor" qualifier="editor" lang="es" authority="EDUVA33" confidence="500" orcid_id="">Universidad de Valladolid. Escuela de Ingenierías Industriales</dim:field>
<dim:field mdschema="dc" element="date" qualifier="accessioned">2017-09-05T09:35:34Z</dim:field>
<dim:field mdschema="dc" element="date" qualifier="available">2017-09-05T09:35:34Z</dim:field>
<dim:field mdschema="dc" element="date" qualifier="issued">2017</dim:field>
<dim:field mdschema="dc" element="identifier" qualifier="uri">http://uvadoc.uva.es/handle/10324/25384</dim:field>
<dim:field mdschema="dc" element="description" qualifier="abstract" lang="es">Oxygen, along with oxygen enriched air, is used in multiple applications, namely chemical&#xd;
industry and healthcare industry. Currently there are three main ways to get oxygen: cryogenic&#xd;
distillation, water electrolysis and membrane separation, being the first the most widely used&#xd;
on industrial scale. It allows the production of highly concentrated oxygen but it has one main&#xd;
downside, which is the high energy spending. The other processes present a lower costefficiency.&#xd;
A new process to produce enriched air was analysed. It is based on the ability of water to absorb&#xd;
and desorb oxygen at different thermodynamic equilibria, varying temperature and pressure.&#xd;
Firstly, based on empirical tests carried out in laboratory it was attempted to create a&#xd;
mathematical model. The first attempt was modelled with neural networks, but the small&#xd;
available empirical set of information did not allow to get a trustworthy model. The second&#xd;
attempt, adjusted by square errors minimising, outperforms the simulations done with&#xd;
computational software based on theoretical equations.&#xd;
Secondly, the process was simulated by computer solving the Rachford-Rice equation with an&#xd;
Excel worksheet and with the computer software SimSci PRO/II.&#xd;
Thirdly, the process model was applied to three different scenarios: chemical industry, ship&#xd;
propulsion and healthcare industry. In the chemical and the oil industry oxidation processes are&#xd;
common practice, ships use large quantities of air to oxidise the fuel in the combustion process&#xd;
that propels them and oxygen is important in healthcare in almost every lung related issue.&#xd;
Regarding the two first scenarios, the outcomes resulted in flows of water so massive that&#xd;
rendered the whole process unfeasible. The application to healthcare was focused on contexts&#xd;
where there is no possibility to obtain bottled oxygen or electricity supply is unreliable, i.e. sub-&#xd;
Saharan Africa. The process was designed to the Sounon-Sero hospital in Nikki (Benin), as a proxy&#xd;
for any hospital in a similar context.&#xd;
In fact, based on the information provided by that hospital, after traumatisms and malaria, it is&#xd;
lung-related infections that account for the highest number of patients attended at Sounon-&#xd;
Sero. A special emphasis has been put in designing a simple and reliable system with a demand&#xd;
sizing based on supply side, given the maximum capabilities of the equipment that can be found&#xd;
in Nikki. This opens new research opportunities regarding a more precise demand sizing or&#xd;
budget, which is to be done within an on-field venture.</dim:field>
<dim:field mdschema="dc" element="description" qualifier="sponsorship" lang="es">Departamento de Ingeniería Química y Tecnología del Medio Ambiente</dim:field>
<dim:field mdschema="dc" element="description" qualifier="degree" lang="es">Grado en Ingeniería Química</dim:field>
<dim:field mdschema="dc" element="format" qualifier="mimetype" lang="es">application/pdf</dim:field>
<dim:field mdschema="dc" element="language" qualifier="iso" lang="es">eng</dim:field>
<dim:field mdschema="dc" element="rights" qualifier="accessRights" lang="es">info:eu-repo/semantics/openAccess</dim:field>
<dim:field mdschema="dc" element="rights" qualifier="uri">http://creativecommons.org/licenses/by-nc-nd/4.0/</dim:field>
<dim:field mdschema="dc" element="rights">Attribution-NonCommercial-NoDerivatives 4.0 International</dim:field>
<dim:field mdschema="dc" element="subject" lang="es">Ingeniería química</dim:field>
<dim:field mdschema="dc" element="subject" lang="es">Oxígeno - Indústria</dim:field>
<dim:field mdschema="dc" element="title" lang="es">Modelado, optimización y análisis tecno-económico de un proceso para producir aire enriquecido en oxígeno por desorción de agua. Aplicación y diseño para un hospital en África subsahariana</dim:field>
<dim:field mdschema="dc" element="title" qualifier="alternative" lang="es">Modelling, optimisation and techno-economic analysis of a process to produce oxygen-enriched air by water desorption. Application and design for a hospital in sub-Saharan Africa</dim:field>
<dim:field mdschema="dc" element="type" lang="es">info:eu-repo/semantics/bachelorThesis</dim:field>
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