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Carbon footprint estimation at the Salesian Continuous Training Center - San Bartolo using system dynamics

  • The Carbon Footprint measures greenhouse gas emissions, which are harmful to the environment and contribute to climate change, and is a solution to evaluate the production of GHGs, thus implementing mitigation actions to counteract their environmental impacts. This study focused on evaluating GHG emissions mitigation strategies at the Salesian Center for Continuing Education in San Bartolo. Data, obtained through interviews and utility bills, covered electricity, water and fuel consumption, as well as paper, plastic and organic waste. A system dynamics model was applied to identify the major contributors to greenhouse gas emissions, using Vensim PLE software, and the carbon footprint was simulated for one year. The results revealed annual emissions of 88.28 tons of CO2 equivalent, mainly from solid waste production (73.92 tons). A mitigation scenario was simulated representing the use of LED lighting, flow control pumps, waste sorting containers, and the adoption of clean energy forThe Carbon Footprint measures greenhouse gas emissions, which are harmful to the environment and contribute to climate change, and is a solution to evaluate the production of GHGs, thus implementing mitigation actions to counteract their environmental impacts. This study focused on evaluating GHG emissions mitigation strategies at the Salesian Center for Continuing Education in San Bartolo. Data, obtained through interviews and utility bills, covered electricity, water and fuel consumption, as well as paper, plastic and organic waste. A system dynamics model was applied to identify the major contributors to greenhouse gas emissions, using Vensim PLE software, and the carbon footprint was simulated for one year. The results revealed annual emissions of 88.28 tons of CO2 equivalent, mainly from solid waste production (73.92 tons). A mitigation scenario was simulated representing the use of LED lighting, flow control pumps, waste sorting containers, and the adoption of clean energy for transportation. The results suggest a potential reduction of 27.78 tons of CO2 equivalent, representing a significant decrease in greenhouse gases.show moreshow less

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Metadaten
Author:Thalia Elvira Timbiano Feraud, Juan Gabriel Mollocana Lara, Pedro José Calderón Coba, César Iván Álvarez MendozaORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1219297
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/121929
ISBN:978-3-031-87064-4OPAC
Parent Title (English):Systems, Smart Technologies, and Innovation for Society: proceedings of CITIS 2024
Publisher:Springer
Place of publication:Cham
Editor:Esteban Mauricio Inga Ortega, Nuria García Herranz, Vladimir Espartaco Robles-Bykbaev, Eduardo Gallego Diaz
Type:Conference Proceeding
Language:English
Year of first Publication:2025
Publishing Institution:Universität Augsburg
Release Date:2025/05/28
First Page:303
Last Page:313
Series:Lecture Notes in Networks and Systems ; 1331
DOI:https://doi.org/10.1007/978-3-031-87065-1_28
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Geographie
Fakultät für Angewandte Informatik / Institut für Geographie / Lehrstuhl für Klimaresilienz von Kulturökosystemen
Dewey Decimal Classification:9 Geschichte und Geografie / 91 Geografie, Reisen / 910 Geografie, Reisen
Licence (German):License LogoCC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)