The need for scientific-area-related indicators for effective energy planning in higher education institutions

The quest for improving energy efficiency is transversal to all areas of society. Higher education institutions represent an important sector in this quest due to their high demand, but also for the role model that they can play in educating energy-efficient citizens and piloting new approaches and experiences. Thus, decreasing energy consumption in higher education institutions, in addition to reducing the carbon footprint, contributes to ameliorating countries' energy bills, and, most importantly, contributes to a more sustainable society. The purpose of the paper, based on the energy consumption of the University of Minho, Portugal, between 2007 and 2022, is threefold: first, to evaluate how energy consumption and associated carbon footprint indicators have performed under a sustainable strategy program, second to reflect on total energy and specific energy indicators, and lastly to emphasize the need to improve energy metering and planning systems to account for the distinctive needs of the different scientific area buildings. This is not only relevant but also rare to find in scientific literature. Findings suggest that UMinho's energy consumption is in line with the numbers reported in the literature. Moreover, detailed indicators, specified by scientific area building, show diverse patterns in energy use, demonstrating the limitations of an overall analysis of buildings in the university campi. The results show that energy efficiency improved as a result of the implemented action plan, and demonstrate the need for detailed and specific indicators that reflect the different needs of each scientific area. The results provided by this refinement call for the design of tailored initiatives to decrease energy consumption, since they allow the planning of specific measures and programs for different energy use patterns, and therefore improve their efficiency. Finally, the preliminary results of the analysis of building specific energy use point to the need for more detailed data on hourly and daily consumption and academic term given the relative contribution of users' behaviour.