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Smart Cities and the Challenge of Cities’ Energy Autonomy

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Handbook of Smart Cities

Abstract

This article, provide a systematic inventory and presentation of the international literature on smart cities energy autonomy and thw technological and techno-economic implications. Also the Greek reality is analyzed through a critical perspective, while presenting the energy potential of an autonomous building for the Athens area. One of the greatest modern challenges for mankind is undoubtedly the reduction of greenhouse gases as well as the deceleration of global warming. The recent IPCC report 2018 describes the effects of rising global temperatures above preindustrial levels, while suggesting that humankind only has 12 years to reduce overall net anthropogenic CO2 emissions by about 45% compared to its levels. Cities contribute significantly to climate change due to high energy demands and the increasing trend of urbanization, thereby reducing carbon footprint. Urban areas, seen as a high priority need for the liberalization of electricity markets, foster the further development of RES scattered electricity production, favoring the development of small-scale self-generating consumer presumes and the conversion of energy autonomous buildings in active generating units of a decentralized energy system. At the smart city level, institutional servicing of energy communities and synergies of collective self-production schemes greatly enhances the decarbonization of the energy sector. Energy independent buildings, commercial complexes, neighborhoods, islands, and cities are the subject of scientific research in international literature. Technological and techno-economic implications of optimizing clean energy micro-networks, existing and emerging information and communication technologies (ICTs) as well as a number of other parameters, such as the maturity of hybrid RES technologies – energy storage, the power supply, the electricity supply, the entry of electric vehicles into the market, etc., reinforces the tendency of the energy sector to reshape urban areas, paving the way for an energy-autonomous, green future. In the context of this article, a systematic inventory and presentation of the international literature on smart cities energy autonomy and related technological and techno-economic implications took place. In addition, the Greek reality is analyzed through a critical perspective, while presenting the energy potential of an autonomous building for the Athens area.

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References

  • ABB. (2017a). ABB energy manager software solution for industrial plants. Available at: http://new.abb.com/cpm/energy-manager

  • ABB. (2017b). ABB cpmPlus Energy Manager – cpmPlus Application Products (collaborative production management). Available at: http://www.abb.com/product/db0003db004001/c7bc8a5df2f16aa985257599004f1a49.aspx%5Ch

  • ARUP and Qualcomm Technologies Inc. (2015). Intelligent connectivity for seamless urban mobility. San Francisco. Available at: https://www.qualcomm.com/media/documents/files/intelligent-connectivity-for-seamless-urban-mobility.pdf

  • Askounis, D., & Psarras, J. (1998). Information system for monitoring and targeting (M&T) of energy consumption in breweries. Energy, 23(5), 413–419.

    Article  Google Scholar 

  • Athanassoulis, N. T., Tsakanikas, A., & Kladas, A. G. (2018, November). Smart cities under electric energy trends: From autonomous building directive to presume target. In Proceedings of the SIPS 2018 Mamalis international symposium on advanced manufacturing of advanced materials and structures with sustainable industrial applications; 2018 sustainable industrial processing summit and exhibition, Rio de Janeiro.

    Google Scholar 

  • Attune™ Advisory Services. (2012). The information to act and the expertise to optimize energy awareness Brochure.

    Google Scholar 

  • Bahramirad, S. (2018). New milestones: Smart cities and executive advisory committees [Leader’s corner]. IEEE Power and Energy Magazine, 16(2), 8–14.

    Article  Google Scholar 

  • Batty, M., Axhausen, K., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., Ouzounis, G., & Portugali, Y. (2012). Smart cities of the future. The European Physical Journal Special Topics, 214(1), 481–518.

    Article  Google Scholar 

  • Boykova, M., Ilina, I., & Salazkin, M. (2016). The Smart City approach as a response to emerging challenges for urban development. Форсайт, 10(3(eng)), 65–75.

    Google Scholar 

  • Braga, L., Braga, A., & Braga, C. (2013). On the characterization and monitoring of building energy demand using statistical process control methodologies. Energy and Buildings, 65, 205–219.

    Article  Google Scholar 

  • Building Solutions. (2017). Intelligent buildings | Automate, communicate and integrate. Available at:https://buildingsolutions.honeywell.com/en-US/solutions/intelligentbuildings/Pages/default.aspx

  • Calvillo, C. F., Sánchez-Miralles, A., & Villar, J. (2016). Energy management and planning in smart cities. Renewable and Sustainable Energy Reviews, 55, 273–287.

    Article  Google Scholar 

  • Chatterjee, S., & Kar, A. (2015). Smart Cities in developing economies: A literature review and policy insights. In 2015 International conference on advances in computing, communications and informatics (ICACCI) (pp. 2335–2340).

    Google Scholar 

  • Choi, S., & Min, S. W. (2018). Optimal scheduling and operation of the ESS for prosumer market environment in grid-connected industrial complex. IEEE Transactions on Industry Applications, 54(3), 1949–1957.

    Article  Google Scholar 

  • Chourabi, H., Nam, T., Walker, S., Gil-Garcia, J., Mellouli, S., Nahon, K., Pardo, T., & Scholl, H. (2012). Understanding Smart Cities: An Integrative Framework. In 45th Hawaii international conference on system sciences.

    Google Scholar 

  • Dascalaki, E., Balaras, C., Gaglia, A., Droutsa, K., & Kontoyiannidis, S. (2012). Energy performance of buildings – EPBD in Greece. Energy Policy, 45, 469–477.

    Article  Google Scholar 

  • Delitheou, V. (2018). Institutional framework of regional development (p. 67). Athens: Papazisiseds.

    Google Scholar 

  • Delitheou, V., & Meleti V. (2019). Use of green resources and designing of public spaces. Available at SSRN: https://ssrn.com/abstract=3494531 or https://doi.org/10.2139/ssrn.3494531.

  • Doukas, H., Patlitzianas, K., Iatropoulos, K., & Psarras, J. (2007). Intelligent building energy management system using rule sets. Building and Environment, 42(10), 3562–3569.

    Article  Google Scholar 

  • ECHELON. (2015). Available at: http://www.echelon.com

  • Energies-Cites. (2008). BELIEF-involve stakeholders and citizens in your local energy turn over a New Life! Available at: https://ec.europa.eu/energy/intelligent/projects/sites/iee-projects/files/projects/documents/belief_project_report_en.pdf

  • Energy Community. (2016). LEAP: Introduction. Available at: https://www.energycommunity.org/default.asp?action=introduction

  • European Commission (EC). (2002). Directive 2002/91/EC of the European Parliament and of the council of 16 December 2002 on the energy performance of buildings (pp. 65–71).

    Google Scholar 

  • European Commission (EC). (2008). Communication from the commission to the European Parliament, the council, The European economic and social committee and the Committee of the Regions by 2020 Europe’s climate change opportunity; 2008; COM (2008) 30 final.

    Google Scholar 

  • European Commission (EC). (2010). Directive 2010/31/EU of the European Parliament and of the council of 19 May 2010 on the energy performance of buildings.

    Google Scholar 

  • European Commission (EC). (2012). Directive 2012/27/EU of the European Parliament and of the council of 25 October 2012 on energy efficiency, Amending directives 2009/125/EC and 2010/30/EU and repealing directives 2004/8/EC and 2006/32/EC.

    Google Scholar 

  • European Commission (EC). (2013a). Smart cities stakeholder platform: Integrated action plan – Report process & guidelines for smart cities, 2013.

    Google Scholar 

  • European Commission (EC). (2013b). Sustainable development in the European Union. In 2013 monitoring report of the EU sustainable development strategy.

    Google Scholar 

  • European Commission (2014) Communication from the Commission to the European Parliament and the council A new EU Framework to strengthen the Rule of Law. Available at: https://ec.europa.eu/transparency/regdoc/rep/1/2014/EN/1-2014-158-EN-F1-1.Pdf

  • European Commission (EC). (2016). Digital single market – Smart cities. Available at: https://ec.europa.eu/digital-agenda/en/smart-cities

  • European Energy Award. (2007). Cooking book: CO2 – Balancing, in framework of the balance project. Ανακτημένο από: https://ec.europa.eu/energy/intelligent/projects/sites/ieeprojects/files/projects/documents/balance_cooking_book_co2_balancing_tool_en.pdf

  • European Environment Agency (EEA). (2010). The European environment – State Copenhagen and outlook 2010: synthesis. Available at: http://www.eea.europa.eu/soer/synthesis/synthesis

  • European Innovation Partnership (EIP). (2016). The EIP-SCC roadmap 2016 | EIP – Smart cities and communities market place. Available at: https://eu-smartcities.eu/content/eip-scc-roadmap-2016

  • European Parliament (EP). (2014). Directorate general for internal policies, policy department a: Economic and scientific policy, mapping smart cities in the EU.

    Google Scholar 

  • Farhangi, H. (2010). The path of the smart grid. IEEE Power and Energy Magazine, 8(1), 18–28.

    Article  MathSciNet  Google Scholar 

  • Figueiredo, J., & Sá da Costa, J. (2012). A SCADA system for energy management in intelligent buildings. Energy and Buildings, 49, 85–98.

    Article  Google Scholar 

  • Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler-Milanovic, N., & Meijers, E. (2007). Smart cities-Ranking of European medium-sized cities. Vienna University of Technology.

    Google Scholar 

  • Giotitsas, C., Pazaitis, A., & Kostakis, V. (2015). A peer-to-peer approach to energy production. Technology in Society, 42, 28–38.

    Article  Google Scholar 

  • Henning, D. (1997). MODEST – An energy-system optimization model applicable to local utilities and countries. Energy, 22(12), 1135–1150.

    Article  Google Scholar 

  • Institute of Electrical and Electronics Engineers (IEEE). (2016a). About – IEEE Smart Cities.

    Google Scholar 

  • Institute of Electrical and Electronics Engineers (IEEE) (2016b). About – IEEE Smart Cities.

    Google Scholar 

  • Institute of Electrical and Electronics Engineers United Stated of America (IEEE USA) (2007). Plug-in electric hybrid vehicles. Position statement adopted by IEEE USA board of directors.

    Google Scholar 

  • International Business Machines (IBM). (2009). Global business services, how cities can lead the way into a prosperous and sustainable future. Somers, NY: IBM Institute for Business Value.

    Google Scholar 

  • International Energy Agency (IEA). (2006). Light’s labour’s lost. OECD/IEA. Available at: https://www.iea.org/publications/freepublications/publication/light2006.pdf

  • International Energy Agency (IEA). (2014). Key world energy statistics. Available at: http://www.iea.org/publications/freepublications/publication/keyworld2014.pdf

  • Kang, S., Park, J., Oh, K., Noh, J., & Park, H. (2014). Scheduling-based real time energy flow control strategy for building energy management system. Energy and Buildings, 75, 239–248.

    Article  Google Scholar 

  • Kavousian, A., Rajagopal, R., & Fischer, M. (2013). Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants’ behavior. Energy, 55, 184–194.

    Article  Google Scholar 

  • Klein, L., Kwak, J., Kavulya, G., Jazizadeh, F., Becerik-Gerber, B., Varakantham, P., & Tambe, M. (2012). Coordinating occupant behavior for building energy and comfort management using multi-agent systems. Automation in Construction, 22, 525–536.

    Article  Google Scholar 

  • KNX. (2015). Available at.: https://www.knx.org/knx-en/knx/association/introduction/index.php.

    Google Scholar 

  • Law 4513/2018 (Government Gazette A 9 – 23.01.2018) – Energy Communities and Other Provisions.

    Google Scholar 

  • Li, F., & Du, Y. (2018). From alpha go to power system AI: What engineers can learn from solving the most complex board game. IEEE Power and Energy Magazine, 16(2), 76–84.

    Article  Google Scholar 

  • Lombardi, P., Giordano, S., Farouh, H., & Yousef, W. (2012). Modelling the smart city performance. Innovation: The European Journal of Social Science Research, 25(2), 137–149.

    Google Scholar 

  • Mahmood, A., Javaid, N., & Razzaq, S. (2015). A review of wireless communications for smart grid. Renewable and Sustainable Energy Reviews, 41, 248–260.

    Article  Google Scholar 

  • Mancarella P. (2012). Distributed multi-generation options to increase environmental efficiency in smart cities. In 2012 IEEE power and energy society general meeting, San Diego (pp. 1–8).

    Google Scholar 

  • Marinakis, V., & Doukas, H. (2018). An advanced IoT-based system for intelligent energy management in buildings. Sensors, 18(2), 610.

    Google Scholar 

  • Marinakis, V., Karakosta, C., Doukas, H., Androulaki, S., & Psarras, J. (2013). A building automation and control tool for remote and real time monitoring of energy consumption. Sustainable Cities and Society, 6(1), 11–15.

    Article  Google Scholar 

  • Marinakis, V., Doukas, H., Spiliotis, E., & Papastamatiou, I. (2017). Decision support for intelligent energy management in buildings using the thermal comfort model. International Journal of Computational Intelligence Systems, 10, 882–893.

    Article  Google Scholar 

  • Marta, C. (2018). Projecting battery adoption in the prosumer era. Applied Energy, 215, 356–370.

    Article  Google Scholar 

  • Ministerial Decision YPEN/DEPA/85251/242/2018 – Government Gazette 5447/B/5 – Approval of National Plan for Increasing the Number of Buildings with Almost Zero Energy Consumption.

    Google Scholar 

  • Missaoui, R., Joumaa, H., Ploix, S., & Bacha, S. (2014). Managing energy smart homes according to energy prices: Analysis of a building energy management system. Energy and Buildings, 71, 155–167.

    Article  Google Scholar 

  • Molina, B., Palau, C., Fortino, G., Guerrieri, A., & Savaglio C. (2014). Empowering smart cities through interoperable sensor network enablers. In 2014 IEEE international conference on systems, man, and cybernetics (SMC).

    Google Scholar 

  • Monzon, A. (2015). Smart cities concept and challenges bases for the assessment of smart city projects. In 4th international conference on smart cities and green ICT systems, SMARTGREENS (pp. 1–11).

    Google Scholar 

  • Novak, T., Pollhammer, K., Zeilinger, H., & Schaat, S. (2014). Intelligent streetlight management in a smart city. In Proceedings of the 2014 IEEE emerging technology and factory automation (ETFA).

    Google Scholar 

  • NTUA. 2009). Investigation and recording of standards describing parameters of Greek family energy consumption. Laboratory of Steam Generators and Thermal Installations of the School of Mechanical Engineering of the National Technical University of Athens.

    Google Scholar 

  • O’Donnell, J., Keane, M., Morrissey, E., & Bazjanac, V. (2013). Scenario modeling: A holistic environmental and energy management method for building operation optimization. Energy and Buildings, 62, 146–157.

    Article  Google Scholar 

  • OSeMOSYS. (2015). OSeMOSYS user manual. Available at: http://users.osemosys.org/uploads/1/8/5/0/18504136/new-website_osemosys_manual_-_working_with_text_files_-_2015-11-05.pdf.

  • Papaioannou, D., Gakis, A., Athanassoulis, N. T., Rigos, A., & Mamali, A. A. (2015). A review of urban sustainability criteria under global warming stress. Interdisciplinary Environmental Review, 16(1), 17–45.

    Article  Google Scholar 

  • Papastamatiou, I., Doukas, H., & Psarras, J. (2014, July 7–9). An information management software for assessing smart energy systems exploiting cities’ multidisciplinary data. In Proceedings of the 5th international conference on information, intelligence, systems and applications (IISA 2014), Chania Crete.

    Google Scholar 

  • Papastamatiou, I., Doukas, H., Spiliotis, E., & Psarras, J. (2016). How “OPTIMUMS” is a city in terms of energy optimization? E-SCEAF: A web based decision support tool for local authorities. Information Fusion, 29, 149–161.

    Article  Google Scholar 

  • Papastamatiou, I., Marinakis, V., Doukas, H., & Psarras, J. (2017a). A decision support framework for smart cities energy assessment and optimization. Energy Procedia, 111, 800–809.

    Article  Google Scholar 

  • Papastamatiou, I., Marinakis, V., Doukas, H., & Psarras, J. (2017b). A decision support framework for smart cities energy assessment and optimization. Energy Procedia, 111, 800–809.

    Article  Google Scholar 

  • Piette, M. A., Khalsa, S., Rumsey, P., Kinney, K. L., Lee, E. L., Sebald, A., & Shockman C. (1998). Early results and field tests of an information monitoring and diagnostic system for commercial buildings. Phase 2 Project Report, LBNL Report #42338.

    Google Scholar 

  • Piette, M. A., Khalsa, S. K., Haves, P. (2000). Use of an information monitoring and diagnostic system to improve building operations. In Proceedings of the 2000 ACEEE summer study on energy efficiency in buildings (Vol. 7, p. 101).

    Google Scholar 

  • Priyadarsini, R., Xuchao, W., & Eang, L. (2009). A study on energy performance of hotel buildings in Singapore. Energy and Buildings, 41(12), 1319–1324.

    Article  Google Scholar 

  • Sanseverino, E., Scaccianoce, G., Vaccaro, V., Zizzo, G., & Pennisi, S. (2015a). Smart city and public lighting. In 2015 IEEE 15th international conference on environment and electrical engineering (EEEIC).

    Google Scholar 

  • Sanseverino, E., Scaccianoce, G., Vaccaro, V., Zizzo, G., & Pennisi, S. (2015b). Smart city and public lighting. In 2015 IEEE 15th international conference on environment and electrical engineering (EEEIC).

    Google Scholar 

  • Trejo-Perea, M., Moreno, G., Castañeda-Miranda, A., Vargas-Vázquez, D., Carrillo-Serrano, R., & Herrera-Ruiz, G. (2013). Development of a real time energy monitoring platform user-friendly for buildings. Procedia Technology, 7, 238–247.

    Article  Google Scholar 

  • UN, Department of Economic, Social Affairs, Population Division. (2018). World Urbanization Prospects: The 2018 Revision.

    Google Scholar 

  • United Nations (UN). (2016). World cities report 2016: Urbanization and development – Emerging futures. http://unhabitat.org/books/world-cities-report/

  • Vasseur, J., & Dunkels, A. (2010). Interconnecting smart objects with IP (pp. 335–352). Burlington: Morgan Kaufmann Publishers/Elsevier. Smart cities and urban networks.

    Book  Google Scholar 

  • YPEKA – Ministry of the Environment and Energy. (2015). http://www.ypeka.gr.

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Authors and Affiliations

  1. Department of Economics and Regional Development, Panteion University of Social and Political Sciences, Athens, Greece

    Vassiliki Meleti & Vasiliki Delitheou

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  1. Vassiliki Meleti
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  2. Vasiliki Delitheou
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Correspondence to Vassiliki Meleti .

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  1. Middlesex University, London, UK

    Juan Carlos Augusto

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Meleti, V., Delitheou, V. (2020). Smart Cities and the Challenge of Cities’ Energy Autonomy. In: Augusto, J.C. (eds) Handbook of Smart Cities. Springer, Cham. https://doi.org/10.1007/978-3-030-15145-4_50-1

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  • DOI: https://doi.org/10.1007/978-3-030-15145-4_50-1

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