A Multi-Period Approach for the Optimal Energy Retrofit Planning of Street Lighting Systems
1
Department of Electrical and Information Engineering, Politecnico di Bari, 70125 Bari, Italy
2
Department of Mechanics, Mathematics and Management, Politecnico di Bari, 70126 Bari, Italy
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(5), 1025; https://doi.org/10.3390/app9051025
Received: 15 February 2019 / Revised: 5 March 2019 / Accepted: 7 March 2019 / Published: 12 March 2019
(This article belongs to the Special Issue Smart Urban Lighting Systems)
Investing in the optimal measures for improving the energy efficiency of urban street lighting systems has become strategic for the economic, technological and social development of cities. The decision-making process for the selection of the optimal set of interventions is not so straightforward. Several criticalities-such as difficulties getting access to credit for companies involved in street lighting systems refurbishment, budget constraints of municipalities, and unawareness of the actual energy and economic performance after a retrofitting intervention-require a decision-making approach that supports the city energy manager in selecting the optimal street lighting energy efficiency retrofitting solution while looking not only based on the available budget, but also based on the future savings in energy expenditures. In this context, the purpose of our research is to develop an effective decision-making model supporting the optimal multi-period planning of the street lighting energy efficiency retrofitting, which proves to be more effective and beneficial than the classical single-period approach and has never before been applied to the considered public lighting system context. The proposed methodology is applied to a real street lighting system in the city of Bari, Italy, showing the energy savings and financial benefit obtained through the proposed method. Numerical experiments are used to investigate and quantify the effects of using a multi-period planning approach instead of a single-period approach.
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MDPI and ACS Style
Carli, R.; Dotoli, M.; Pellegrino, R. A Multi-Period Approach for the Optimal Energy Retrofit Planning of Street Lighting Systems. Appl. Sci. 2019, 9, 1025. https://doi.org/10.3390/app9051025
AMA Style
Carli R, Dotoli M, Pellegrino R. A Multi-Period Approach for the Optimal Energy Retrofit Planning of Street Lighting Systems. Applied Sciences. 2019; 9(5):1025. https://doi.org/10.3390/app9051025
Chicago/Turabian StyleCarli, Raffaele; Dotoli, Mariagrazia; Pellegrino, Roberta. 2019. "A Multi-Period Approach for the Optimal Energy Retrofit Planning of Street Lighting Systems" Appl. Sci. 9, no. 5: 1025. https://doi.org/10.3390/app9051025
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