Monitoring tools as energy saving enablers in social housing context
Keywords:energy and digital transition, social housing, energy poverty, smart monitoring, user behaviour
The improvement of the digital infrastructure envisaged by the National Recovery and Resilience Plan (PNRR) promises new opportunities for reducing energy consumption based on user behaviour for the residential sector. Smart tools for energy monitoring would make it possible to improve indoor comfort, limit household expenses and reduce their environmental impact, with particularly appreciable effects in social housing. However, the diffusion of these technologies, which are already available on the market, largely depends on the ability of users to actively interact with them and on the understanding of their advantages. The study investigates the interaction of users with the typical system and equipment of social housing, comparing the opinion of the inhabitants with instrumental monitoring on a pilot case in Bologna, in order to define the characteristics of an integrative tool to inform the user and suggest good energy use practices.
Article Metrics Graph
BPIE (2014), Alleviating fuel poverty in the EU – Investing in home renovation, a sustainable and inclusive solution, BPIE, Brussels. [Online] Available at: bpie.eu/wp-content/uploads/2015/10/Alleviating-fuel-poverty.pdf [Accessed 29 September 2022].
Balakrishnan, R. and Geetha, V. (2021), “Review on home energy management system”, in Materials Today – Proceedings, vol. 47, part 1, pp. 144.150. [Online] Available at: doi.org/10.1016/j.matpr.2021.04.029 [Accessed 29 September 2022].
Caballero, N. and Della Valle, N. (2021), “Tackling Energy Poverty Through Behavioral Change – A Pilot Study on Social Comparison Interventions in Social Housing Districts”, in Frontiers in Sustainable Cities, vol. 2, 601095, pp. 1-20. [Online] Available at: doi.org/10.3389/frsc.2020.601095 [Accessed 29 September 2022].
Darby, S. (2006), The Effectiveness of Feedback on Energy Consumption – A Review for Defra of the Literature on Metering, Billing and Direct Displays, Environmental Change Institute, University of Oxford, Oxford. [Online] Available at: eci.ox.ac.uk/research/energy/downloads/smart-metering-report.pdf [Accessed 29 September 2022].
Delzendeh, E., Wu, S., Lee, A. and Zhou, Y. (2017), “The impact of occupants’ behaviours on building energy analysis – A research review”, in Renewable and Sustainable Energy Reviews, vol. 80, pp. 1061-1071. [Online] Available at: doi.org/10.1016/j.rser.2017.05.264 [Accessed 29 September 2022].
Ehrhardt-Martinez, K., Donnelly, K. A. and Laitner, J. A. (2010), Advanced metering initiatives and residential feedback programs – A meta-review for household electricity-saving opportunities, report n. E105, American Council for an Energy-Efficient Economy. [Online] Available at: aceee.org/sites/default/files/publications/researchreports/e105.pdf [Accessed 29 September 2022].
European Commission (2022), Energy consumption in households. [Online] Available at: ec.europa.eu/eurostat/statistics-explained/index.php?title=Energy_consumption_in_households [Accessed 29 September 2022].
Gaspari, J., Antonini, E., Gianfrate, V. and Mehmeti, L. (2022), “Mappare la capacità di risposta ambientale di comunità per affrontare la transizione climatica | Mapping community environmental capacity to support climate responsive transition”, in Techne | Journal of Technology for Architecture and Environment, vol. 23, pp. 117-126. [Online] Available at: oaj.fupress.net/index.php/techne/article/view/12135 [Accessed 29 September 2022]
Gaspari, J., Antonini, E., Marchi, L. and Vodola, V. (2021), “Energy transition at home – A survey on the data and practices that lead to a change in household energy behavior”, in Sustainability, vol. 13, issue 9, article 5268, pp. 1-24. [Online] Available at: doi.org/10.3390/su13095268 [Accessed 29 September 2022].
Gomes, I., Bot, K., Ruano, M. G. and Ruano, A. (2022), “Recent Techniques Used in Home Energy Management Systems – A Review”, in Energies, vol. 15, issue 8, 2866, pp. 1-41. [Online] Available at: doi.org/10.3390/en15082866 [Accessed 29 September 2022].
Hafner, R. J., Pahl, S., Jones, R. V. and Fuertes, A. (2020), “Energy use in social housing residents in the UK and recommendations for developing energy behaviour change interventions”, in Journal of Cleaner Production, vol. 251, 119643, pp. 1-12. [Online] Available at: doi.org/10.1016/j.jclepro.2019.119643 [Accessed 29 September 2022].
Huebner, G. M., Cooper, J. and Jones, K. (2013), “Domestic energy consumption – What role do comfort, habit, and knowledge about the heating system play?”, in Energy and Buildings, vol. 66, pp. 626-636. [Online] Available at: doi.org/10.1016/j.enbuild.2013.07.043 [Accessed 29 September 2022].
IEA (2022), Tracking Buildings 2022. [Online] Available at: iea.org/reports/buildings [Accessed 29 September 2022].
Joachain, H. and Klopfert, F. (2014), “Smarter than metering? Coupling smart meters and complementary currencies to reinforce the motivation of households for energy savings”, in Ecological Economics, vol. 105, pp. 89-96. [Online] Available at: doi.org/10.1016/j.ecolecon.2014.05.017 [Accessed 29 September 2022].
Levine, M., Ürge-Vorsatz, D., Blok, K., Geng, L., Harvey, D., Lang, S., Levermore, G., Mongameli Mehlwana, A., Mirasgedis, S., Novikova, A., Rilling, J. and Yoshin, H. (2007), “Residential and commercial buildings”, in Metz, B., Davidson, O., Bosch, P., Dave, R. and Meyer, L. (eds), Climate Change 2007 – Mitigation, Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, pp. 387-446. [Online] Available at: doi.org/10.1017/CBO9780511546013 [Accessed 29 September 2022].
Ministero della Transizione Ecologica (2022), La Situazione Energetica Nazionale nel 2021. [Online] Available at: dgsaie.mise.gov.it/pub/sen/relazioni/relazione_annuale_situazione_energetica _nazionale_dati_2021.pdf [Accessed 29 September 2022].
Romero, A., De Agustin, P. and Tsitsanis, T. (2018), “Integration of Real-Intelligence in Energy Management Systems to Enable Holistic Demand Response Optimization in Buildings and Districts”, in Proceedings – 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, 12-15 June 2018, Palermo, EEEIC/I and CPS Europe, 768614, pp. 1-6. [Online] Available at: doi.org/10.1109/EEEIC.2018.8494522 [Accessed 29 September 2022].
Serrenho, T., Zangheri, P. and Bertoldi, P. (2015), Energy Feedback Systems – Evaluation of meta-studies on energy savings through feedback – Energy Efficiency Directive Articles 9-11 on feedback, billing and consumer information, Publications Office of the European Union, Luxemburg. [Online] Available at: doi.org/10.2790/565532 [Accessed 29 September 2022].
Sirombo, E., Filippi, M., Catalano, A. and Sica, A. (2017), “Building monitoring system in a large social housing intervention in Northern Italy”, in Energy Procedia, vol. 140, pp. 386-397. [Online] Available at: doi.org/10.1016/j.egypro.2017.11.151 [Accessed 29 September 2022].
Vodola, V., Antonini, E., Gaspari, J. and Marchi, L. (2022), “A Methodology for Fast Simulation of Energy Retrofitting Scenarios of Social Building Stock”, in Littlewood, J. R., Howlett, R. J. and Jain, L. C. (eds), Sustainability in Energy and Buildings 2021, Springer, pp. 147-157. [Online] Available at: doi.org/10.1007/978-981-16-6269-0_13 [Accessed 29 September 2022].
Völker, B., Reinhardt, A., Faustine, A. and Pereira, L. (2021), “Watt’s up at Home? Smart Meter Data Analytics from a Consumer-Centric Perspective”, in Energies, vol. 14, issue 3, article 719, pp. 1-21. [Online] Available at: doi.org/10.3390/en14030719 [Accessed 29 September 2022].
How to Cite
Copyright (c) 2022 Jacopo Gaspari, Lia Marchi, Carlotta Oberosler, Ernesto Antonini
This work is licensed under a Creative Commons Attribution 4.0 International License.
This Journal is published under Creative Commons Attribution Licence 4.0 (CC-BY).
License scheme | Legal code
This License allows anyone to:
Share: copy and redistribute the material in any medium or format.
Adapt: remix, transform, and build upon the material for any purpose, even commercially.
Under the following terms
Attribution: Users must give appropriate credit, provide a link to the license, and indicate if changes were made; users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No additional restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Users do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give users all of the permissions necessary for their intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.