How to Assess the Carbon Footprint of a Large University? The Case Study of University of Bologna’s Multicampus Organization

• Published in: Energies (Basel) 2023-01, Vol.16 (1), p.166
• Main Authors: Battistini, Roberto, Passarini, Fabrizio, Marrollo, Rita, Lantieri, Claudio, Simone, Andrea, Vignali, Valeria
• Format: Article
• Language: English
• Subjects: Carbon footprint; Climate change; College campuses; Colleges & universities; Emissions; Environmental assessment; Environmental effects; environmental impact; Footprint analysis; GHG; Greenhouse effect; Greenhouse gases; Impact analysis; International standards; Methodology; Sustainability; university
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en16010166

University campuses represent a heterogeneous ecosystem as to social, economic, energetic, and personal travel planning with a huge impact on hosting cities and territories. Sustainable policies are thus fundamental to reduce this impact and to adopt ecological behaviors. The measures for any University Sustainability Plan should be evaluated in terms of GHG emissions, as well as the overall impact of the university itself. Carbon footprint (CF) calculation is a relevant Decision Support tool that allows university organizations to measure and communicate the environmental effects of their activities. The aim of this paper is to present a carbon footprint methodology specifically designed to calculate the carbon footprint of large universities. The methodology was applied to calculate the CF of the University of Bologna by following international standards—i.e., the GHG protocol, the ISO 14064, and the ISO/TR 14069 guide—to understand the environmental impact caused by greenhouse gas emissions from direct and indirect university activities. The study was conducted upon the data available in 2020 and then was compared to the 2018 data, with the aim to recognize if the effect of the pandemic could have altered the results. In 2020, the University of Bologna emitted 16,467 tCO2e which became 15,753 tCO2e considering the offset and avoided emission provided by the internal production of energy from renewable sources. Comparison between 2020 and 2018 shows how, in 2018, most of the emissions came from transportation, representing 74% of the total emissions, while in 2020 almost 50% of total emissions derived by IT procurements. The case application demonstrates the way with which the methodology may be applied to assess environmental impact for complex university campuses.