Analysis of CO2 reduction with micro CHP facility: Renewable energies and Stirling engine

The Cogeneration laboratory is a research facility in the University of Málaga (UMA) that allows for the behavioural study of a renewable energy installation combining solar resources and micro-CHP. Energy generation in the system is provided by a 3 kWp photovoltaic array, two solar thermal connecto...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Auñon-Hidalgo Juan A., Sidrach de Cardona Mariano, Auñón-Rodríguez Fernando, Cordón Marta
Formato: article
Lenguaje:EN
FR
Publicado: EDP Sciences 2021
Materias:
Acceso en línea:https://doaj.org/article/666beb8598f24d389b1946449eec837a
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:666beb8598f24d389b1946449eec837a
record_format dspace
spelling oai:doaj.org-article:666beb8598f24d389b1946449eec837a2021-11-08T15:18:57ZAnalysis of CO2 reduction with micro CHP facility: Renewable energies and Stirling engine2267-124210.1051/e3sconf/202131306002https://doaj.org/article/666beb8598f24d389b1946449eec837a2021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/89/e3sconf_isec2021_06002.pdfhttps://doaj.org/toc/2267-1242The Cogeneration laboratory is a research facility in the University of Málaga (UMA) that allows for the behavioural study of a renewable energy installation combining solar resources and micro-CHP. Energy generation in the system is provided by a 3 kWp photovoltaic array, two solar thermal connectors and a Whispergen EU1 Stirling micro-CHP unit. Energy storage in the facility is provided by water tank and lithium-ion battery. This laboratory is managed through a programmable Mitsubishi PLC that permits the simulation of different thermal and electrical load profiles, as well as the mode of operation. The electrical energy management is controlled by the solar inverter. Environmental data, are measured using a top of the line weather station.The system’s real time status is logged through the programmable PLC. All this data is transferred and analysed in a purpose-built MATLAB-based software, where power and energy balances are conducted, efficiencies are calculated, and a CO2 emissions evaluation is studied.The CO2 emissions analysis is carried to evaluate the carbon dioxide emissions generated by the facility when the electrical and thermal demand are provided by the joint solar and micro-CHP system. These emissions come from the burning of natural gas in the micro-CHP Stirling engine, and the usage of electricity from the grid. With the current mode of operation, a reduction of up to 70% in CO2 emissions has been achieved, with an energy generation that exceeds the demand.Auñon-Hidalgo Juan A.Sidrach de Cardona MarianoAuñón-Rodríguez FernandoCordón MartaEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 313, p 06002 (2021)
institution DOAJ
collection DOAJ
language EN
FR
topic Environmental sciences
GE1-350
spellingShingle Environmental sciences
GE1-350
Auñon-Hidalgo Juan A.
Sidrach de Cardona Mariano
Auñón-Rodríguez Fernando
Cordón Marta
Analysis of CO2 reduction with micro CHP facility: Renewable energies and Stirling engine
description The Cogeneration laboratory is a research facility in the University of Málaga (UMA) that allows for the behavioural study of a renewable energy installation combining solar resources and micro-CHP. Energy generation in the system is provided by a 3 kWp photovoltaic array, two solar thermal connectors and a Whispergen EU1 Stirling micro-CHP unit. Energy storage in the facility is provided by water tank and lithium-ion battery. This laboratory is managed through a programmable Mitsubishi PLC that permits the simulation of different thermal and electrical load profiles, as well as the mode of operation. The electrical energy management is controlled by the solar inverter. Environmental data, are measured using a top of the line weather station.The system’s real time status is logged through the programmable PLC. All this data is transferred and analysed in a purpose-built MATLAB-based software, where power and energy balances are conducted, efficiencies are calculated, and a CO2 emissions evaluation is studied.The CO2 emissions analysis is carried to evaluate the carbon dioxide emissions generated by the facility when the electrical and thermal demand are provided by the joint solar and micro-CHP system. These emissions come from the burning of natural gas in the micro-CHP Stirling engine, and the usage of electricity from the grid. With the current mode of operation, a reduction of up to 70% in CO2 emissions has been achieved, with an energy generation that exceeds the demand.
format article
author Auñon-Hidalgo Juan A.
Sidrach de Cardona Mariano
Auñón-Rodríguez Fernando
Cordón Marta
author_facet Auñon-Hidalgo Juan A.
Sidrach de Cardona Mariano
Auñón-Rodríguez Fernando
Cordón Marta
author_sort Auñon-Hidalgo Juan A.
title Analysis of CO2 reduction with micro CHP facility: Renewable energies and Stirling engine
title_short Analysis of CO2 reduction with micro CHP facility: Renewable energies and Stirling engine
title_full Analysis of CO2 reduction with micro CHP facility: Renewable energies and Stirling engine
title_fullStr Analysis of CO2 reduction with micro CHP facility: Renewable energies and Stirling engine
title_full_unstemmed Analysis of CO2 reduction with micro CHP facility: Renewable energies and Stirling engine
title_sort analysis of co2 reduction with micro chp facility: renewable energies and stirling engine
publisher EDP Sciences
publishDate 2021
url https://doaj.org/article/666beb8598f24d389b1946449eec837a
work_keys_str_mv AT aunonhidalgojuana analysisofco2reductionwithmicrochpfacilityrenewableenergiesandstirlingengine
AT sidrachdecardonamariano analysisofco2reductionwithmicrochpfacilityrenewableenergiesandstirlingengine
AT aunonrodriguezfernando analysisofco2reductionwithmicrochpfacilityrenewableenergiesandstirlingengine
AT cordonmarta analysisofco2reductionwithmicrochpfacilityrenewableenergiesandstirlingengine
_version_ 1718441955945349120