Smarter Grid through Collective Intelligence: User Awareness for Enhanced Performance

Marcel Macarulla, Michele Albano


Purpose – This paper examines the scenario of a university campus, and the impact on energy consumption of the awareness of building managers and users (lecturers, students and administrative staff).
Design/methodology/approach – This study draws a comparison between direct fruition of the information by both skilled (building managers) and unskilled (users) recipients, and the effect of peer pressure and beneficial competition between users in applying the good practices. In fact, the usage of edutainment, implemented by the automatic publication on the Twitter platform of energy consumption data from different users, can promote general users’ awareness on best practices and their effect on energy consumption. In addition, the use of a social network platform allows the interaction between users, sharing experiences and increasing the collective intelligence in the energy efficiency field.
Findings – Tests revealed that enhanced awareness helped managers to identify strategies that, if implemented in the whole building, could reduce energy consumption by about 6%. The tests on university users’ awareness hint that the expected energy savings can reach 9%, in addition to the previous 6%. In fact, the measures were implemented in one of the three common rooms, and at building level the total energy consumption decreased by 3.42%, proving that a large deal of energy can be saved by capillary actions targeting society at large. The emerging collective intelligence of the final users ends up having a stronger effect on energy saving than the actions of more educated professionals.
Practical implications – The approach used in this paper moved the burden of evolving the energy saving strategies to new scenarios onto the collective intelligence of the users, by connecting the users – and their experiences in new scenarios – using a social network to provide guidelines to other users involved in the same decision processes.
Originality/Value – The authors of the paper use social technologies (Twitter, graphical interfaces) for a social goal (promote user awareness on energy usage) for the benefit of the society (energy savings).
Research type – research paper.


EMS; Key Performance Indicators; Energy efficiency

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Albano, M., et al. "The ENCOURAGE ICT architecture for heterogeneous smart grids." EUROCON. 2013.

Chena, V., Delmas, M., and Kaiser, W. 2014. Real-time, appliance-level electricity use feedback system: How to engage users? Energy and buildings, 70:455-462.

Coleman, M., et al. 2012. "Information, communication and entertainment appliance use—Insights from a UK household study." Energy and Buildings 54 (2012): 61-72.

EC, 2013. Financial support for energy efficiency in buildings, Report from the Commission to the European Parliament and the Council. [Accessed on 11 March 2014]. Available at: .

European Commission, Energy Efficiency Directive 2012/27/EU

Gangolells, M., et al. 2012. Exploring the possibility of promoting energy conservation behaviors in public buildings within the ENCOURAGE project. ECCPM 2012. Reykjavik, Island, 25-27 July 2012, 723-729.

Gulbinas, R., and Taylor, J. E. 2014. Effects of real-time eco-feedback and organizational network dynamics on energy efficient behavior in commercial buildings. Energy and buildings, 84: 493-500.

IEC, 2013, International Electrotechnical Commission, “IEC 61968-11 – Common Information Model (CIM) Extensions for Distribution, ed. 2.0”, March 2013.

IPCC 2007. Climate Change 2007: Mitigation. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Metz, B., Davidson, O.R., Bosch, P.R., Dave, R. & Meyer, L.A. (eds). Cambridge: Cambridge University Press.

Kashif, A., Ploix, S., Dugdale, J., and Le, X. H. B. 2013. Simulating the dynamics of occupant behaviour for power management in residential buildings. Energy and buildings, 56: 85-93.

Meester, T., Marique, A., Herde, A. D., and Reiter, S. 2014. Impacts of occupant behaviours on residential heating consumption for detached houses in a temperate climate in the northern part of Europe. Energy and Buildings, 57: 313-323.

Sahin, M.C., Koksal, M.A. 2014. Standby electricity consumption and saving potentials of Turkish households. Applied Energy, 114: 531-538.

Videla A., Williams J.W., “RabbitMQ in Action: Distributed Messaging for Everyone” MEAP Edition, Manning Early Access Program, 2011.

Wang, Q.; Taylor, J. E. 2014. "Energy saving practice diffusion in online networks." Energy and Buildings 76 (2014): 622-630.

Xiao, F., and Fan, C. 2014. Data mining in building automation system for improving building operational performance. Energy and buildings, 75:109-118.



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