Abstract
A Smart City Energy Assessment Framework (SCEAF) is introduced to evaluate the performance and behavior of a city towards energy optimization, taking into consideration multiple characteristics. The SCEAF aims to provide to city authorities a systematic and independent evaluation means of the actions taken towards energy efficiency in parallel with the transition to become a “Smart City”. The framework consists of indicators that are structured on three major assessment axes (1) Political Field of Action, (2) Energy & Environmental Profile, (3) Related Infrastructures-Energy & ICT. The framework can be designed generally for the whole activities spectrum of a city, but it can also be customized per sector, providing more focused information.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Covenant Of Mayors commitment. Available at: www.eumayors.eu/IMG/pdf/covenantofmayors_text_en.pdf.
- 2.
GENERATION: Green Energy Auditing for a low carbon Economy. White Paper, Energy Efficiency in Public Buildings Recommendations for Policy Makers.
- 3.
- 4.
- 5.
- 6.
INTENSE ENERGY: Project leaflet. Available at: http://www.intense-energy.eu/uploads/tx_triedownloads/INTENSE_Leaflet_v3_final_web_11.pdf.
- 7.
RESSOL-MEDBUILD—RESearch Elevation on Integration of SOLar Technologies into MEDiterranean BUILDings project. Available at: http://www.ressol-medbuild.eu/.
- 8.
Energy Efficiency and Risk Management in Public Buildings (EnRiMa) project. Available at: http://www.enrima-project.eu/.
References
Cano, E.L., Javier, M.M., Ermolieva, T., Ermoliev, Y.: Energy efficiency and risk management in public buildings: strategic model for robust planning. Computational Management Science, forthcoming (2013)
Center for Climate and Energy Solution: Buildings overview, buildings and emissions, May 2009 (2009)
Energy Cities: Empowering local and regional authorities to deliver the EU climate and energy objectives (2014)
Energy Sector Management Assistance Program (ESMAP), WorldBank: Rapid assessment framework, an innovative decision support tool for evaluating energy efficiency opportunities in cities. Report No. 57685 (2010)
ENPROVE: Final Report (2013)
ERENET: Rural web energy learning network for action. In: The Network of Energy Sustainable Local Communities (2011)
ESMAP (Energy Sector Management Assistance Program), WorldBank: Rapid assessment framework, an innovative decision support tool for evaluating energy efficiency opportunities in cities. Report No. 57685 (2010)
European Commission: A digital agenda for Europe. COM(2010) 245 Final (2010d)
European Commission: A resource-efficient Europe—flagship initiative under the Europe 2020 Strategy. COM(2011) 21 (2011b)
European Commission: Cities of tomorrow—challenges, visions, ways forward. Brussels, Belgium (2011a)
European Commission: Directive on the energy performance of buildings (2010b)
European Commission: Energy-efficient buildings PPP: multi-annual roadmap and longer term strategy. Directorate-General for Research, Industrial Technologies, Prepared by the Ad-hoc Industrial Advisory Group, Brussels, Belgium (2010c). http://ec.europa.eu/research/industrial_technologies/pdf/ppp-energy-efficient-building-strategic-multiannual-roadmap-infoday_en.pdf
European Commission: Smart cities and communities—European innovation partnership. COM(2012) 4701 Final (2012)
European Commission: The European environment state and outlook, environment, health and quality of life (2010a)
Fluhr, J.W., Williams, F.: FINSENY: Future internet for smart energy. Unternehmen der Zukunft 2 (2011)
Herrera, F., Herrera-Viedma, E.: Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets Syst. 115, 67–82 (2000)
Herrera, F.L., Martınez, L., Sanchez, P.J.: Managing non-homogeneous information. Eur. J. Oper. Res. 166, 115–132 (2005)
ICT 4 E2B FORUM: Final research roadmap (2012)
IREEN: Roadmap for European-scale innovation and take-up (2013)
Joint Research Centre: The covenant of mayors in figures—5-year assessment (2013). Available at: http://www.peer.eu/news-events/detail/print.html?tx_list_pi1[uid]=425
Kundu, S.: Min-transivity of fuzzy leftness relationship and its application to decision making. Fuzzy Sets Syst. 86, 357 (1997)
Networking intelligent Cities for Energy Efficiency (NICE): Project Leaflet (2012). Available at: http://nws.eurocities.eu/MediaShell/media/NiCE%20Leaflet_11.2011.pdf
Page, J., Basciotti, D., Pol, O., Fidalgo, J.N., Couto, M., Aron, R., Chiche, A., Fournie, L.: A multi-energy modeling, simulation and optimization environment for urban energy infrastructure planning. In: Proceedings of BS2013, 13th Conference of International Building Performance Simulation Association, Chambery, France, 26–28 Aug 2013
Page, J., Basciotti, D., Pol, O., Fidalgo, J.N., Couto, M., Aron, R., Chiche, A., Fournie, L.: A multi-energy modeling, simulation and optimization environment for urban energy infrastructure planning. In: Proceedings of the 13th Conference of International Building Performance Simulation Association, Chambery, France, 26–28 Aug 2013
Patti, D., de Amicis, R., Prandi, F., D’Hondt, E., Rudolf, H., Elisei, P., Saghin, I.: iScope smart cities and citizens. In: Proceeding of the REAL-CORP 2013, Tagugnsband (2013)
Patti, D., de Amicis, R., Prandi, F., D’Hondt, E., Rudolf, H., Elisei, P., Saghin, I.: iScope smart cities and citizens. Proceedings of Conference on REAL-CORP 2013, Tagugnsband (2013)
Petrović, M., Bojković, N., Anić, I., Stamenković, M., Pejčić Tarle, S.: An ELECTRE-based decision aid tool for stepwise benchmarking: an application over EU digital agenda targets. Decis. Support Syst. 59, 230–241 (2014)
RESSOL-MEDBUILD: Periodic report summary (2013). Available at: http://cordis.europa.eu/result/report/rcn/54817_en.html
SEMANCO: Project methodology report, 2012. Semantic Tools for Carbon Reduction in Urban Planning (2012)
Yager, R.R.: On ordered wighted averaging aggregation operators in ulticriteria decision making. IEEE Trans. Syst. Man Cybern. 18, 183–190 (1988)
Acknowledgment
Part of the work presented is based on research contacted within the project “OPTIMising the energy USe in cities with smart decision support system (OPTIMUS)”, which has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 608703. The content of the paper is the sole responsibility of its authors and does not necessarily reflect the views of the EC.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Androulaki, S., Doukas, H., Spiliotis, E., Papastamatiou, I., Psarras, J. (2016). A Framework to Assess the Behavior and Performance of a City Towards Energy Optimization. In: Tsihrintzis, G., Virvou, M., Jain, L. (eds) Intelligent Computing Systems. Studies in Computational Intelligence, vol 627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49179-9_9
Download citation
DOI: https://doi.org/10.1007/978-3-662-49179-9_9
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-49177-5
Online ISBN: 978-3-662-49179-9
eBook Packages: EngineeringEngineering (R0)