ICT and optimization for the energy management of smart cities: The street lighting decision panel

The paper addresses the emerging need for tools devoted to the energy governance of smart cities. We propose a hierarchical decision process that supports the energy manager in governing the smart city while addressing different urban sectors with an integrated, structured, and transparent planning. Starting from the urban control center proposed in a previous contribution for the urban energy management, a hierarchical strategic decision structure is proposed. More in detail, a two-level decentralized programming model integrates several decision making units (decision panels), each focusing on the energy optimization of a specific urban subsystem. We focus on the presentation of the street lighting decision panel and on its application to the energy management of the public lighting of the city of Bari (Italy), where a smart city program has recently been launched.

[1]  E. Rea The IESNA lighting handbook , 2013 .

[2]  Mariagrazia Dotoli,et al.  Measuring and Managing the Smartness of Cities: A Framework for Classifying Performance Indicators , 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

[3]  Mariagrazia Dotoli,et al.  An urban control center for the energy governance of a smart city , 2014, Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA).

[4]  Paul H. Calamai,et al.  Bilevel and multilevel programming: A bibliography review , 1994, J. Glob. Optim..

[5]  T. Başar,et al.  Dynamic Noncooperative Game Theory , 1982 .

[6]  Jasbir S. Arora,et al.  Survey of multi-objective optimization methods for engineering , 2004 .

[7]  Georgios K. Ouzounis,et al.  Smart cities of the future , 2012, The European Physical Journal Special Topics.

[8]  Theresa A. Pardo,et al.  Conceptualizing smart city with dimensions of technology, people, and institutions , 2011, dg.o '11.

[9]  P. Nijkamp,et al.  Smart Cities in Europe , 2011 .

[10]  Kohei Narisada,et al.  Light Pollution Handbook , 2004 .

[11]  F. Glover IMPROVED LINEAR INTEGER PROGRAMMING FORMULATIONS OF NONLINEAR INTEGER PROBLEMS , 1975 .

[12]  Mariagrazia Dotoli,et al.  Using multi-objective optimization for the integrated energy efficiency improvement of a smart city public buildings' portfolio , 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

[13]  Jacques Teghem,et al.  The multiobjective multidimensional knapsack problem: a survey and a new approach , 2010, Int. Trans. Oper. Res..

[14]  Jeremy Lagorse,et al.  Sizing optimization of a stand-alone street lighting system powered by a hybrid system using fuel cell, PV and battery , 2009 .

[15]  Matthias Ehrgott,et al.  Multiple criteria decision analysis: state of the art surveys , 2005 .