IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i1p141-d88578.html
   My bibliography  Save this article

Particle Swarm Optimization for Outdoor Lighting Design

Author

Listed:
  • Ana Castillo-Martinez

    (Department of Computer Sciences, Polytechnic School, University of Alcala, Madrid-Barcelona Road, Km 33.6, 28871 Alcala de Henares, Spain)

  • Jose Ramon Almagro

    (Airbus Defence and Space, Gunnels Wood Road, Stevenage, Hertfordshire SG12AS, UK)

  • Alberto Gutierrez-Escolar

    (Department of Computer Sciences, Polytechnic School, University of Alcala, Madrid-Barcelona Road, Km 33.6, 28871 Alcala de Henares, Spain)

  • Antonio Del Corte

    (Department of Computer Engineering, Polytechnic School, University of Alcala, Madrid-Barcelona Road, Km 33.6, Alcala de Henares 28871, Spain)

  • José Luis Castillo-Sequera

    (Department of Computer Sciences, Polytechnic School, University of Alcala, Madrid-Barcelona Road, Km 33.6, 28871 Alcala de Henares, Spain)

  • José Manuel Gómez-Pulido

    (Department of Computer Sciences, Polytechnic School, University of Alcala, Madrid-Barcelona Road, Km 33.6, 28871 Alcala de Henares, Spain)

  • José-María Gutiérrez-Martínez

    (Department of Computer Sciences, Polytechnic School, University of Alcala, Madrid-Barcelona Road, Km 33.6, 28871 Alcala de Henares, Spain)

Abstract

Outdoor lighting is an essential service for modern life. However, the high influence of this type of facility on energy consumption makes it necessary to take extra care in the design phase. Therefore, this manuscript describes an algorithm to help light designers to get, in an easy way, the best configuration parameters and to improve energy efficiency, while ensuring a minimum level of overall uniformity. To make this possible, we used a particle swarm optimization (PSO) algorithm. These algorithms are well established, and are simple and effective to solve optimization problems. To take into account the most influential parameters on lighting and energy efficiency, 500 simulations were performed using DIALux software (4.10.0.2, DIAL, Ludenscheid, Germany). Next, the relation between these parameters was studied using to data mining software. Subsequently, we conducted two experiments for setting parameters that enabled the best configuration algorithm in order to improve efficiency in the proposed process optimization.

Suggested Citation

  • Ana Castillo-Martinez & Jose Ramon Almagro & Alberto Gutierrez-Escolar & Antonio Del Corte & José Luis Castillo-Sequera & José Manuel Gómez-Pulido & José-María Gutiérrez-Martínez, 2017. "Particle Swarm Optimization for Outdoor Lighting Design," Energies, MDPI, vol. 10(1), pages 1-11, January.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:1:p:141-:d:88578
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/1/141/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/1/141/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kostic, Miomir & Djokic, Lidija, 2009. "Recommendations for energy efficient and visually acceptable street lighting," Energy, Elsevier, vol. 34(10), pages 1565-1572.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alberto Garces-Jimenez & Jose-Manuel Gomez-Pulido & Nuria Gallego-Salvador & Alvaro-Jose Garcia-Tejedor, 2021. "Genetic and Swarm Algorithms for Optimizing the Control of Building HVAC Systems Using Real Data: A Comparative Study," Mathematics, MDPI, vol. 9(18), pages 1-24, September.
    2. Ana Ogando-Martínez & Javier López-Gómez & Lara Febrero-Garrido, 2018. "Maintenance Factor Identification in Outdoor Lighting Installations Using Simulation and Optimization Techniques," Energies, MDPI, vol. 11(8), pages 1-13, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leccese, Francesco & Salvadori, Giacomo & Rocca, Michele, 2017. "Critical analysis of the energy performance indicators for road lighting systems in historical towns of central Italy," Energy, Elsevier, vol. 138(C), pages 616-628.
    2. Lucia Cellucci & Chiara Burattini & Dionysia Drakou & Franco Gugliermetti & Fabio Bisegna & Andrea De Lieto Vollaro & Ferdinando Salata & Iacopo Golasi, 2015. "Urban Lighting Project for a Small Town: Comparing Citizens and Authority Benefits," Sustainability, MDPI, vol. 7(10), pages 1-15, October.
    3. Beccali, M. & Bonomolo, M. & Leccese, F. & Lista, D. & Salvadori, G., 2018. "On the impact of safety requirements, energy prices and investment costs in street lighting refurbishment design," Energy, Elsevier, vol. 165(PB), pages 739-759.
    4. Radulovic, Dusko & Skok, Srdjan & Kirincic, Vedran, 2011. "Energy efficiency public lighting management in the cities," Energy, Elsevier, vol. 36(4), pages 1908-1915.
    5. Roman Sikora & Przemysław Markiewicz & Wiesława Pabjańczyk, 2018. "Computing Active Power Losses Using a Mathematical Model of a Regulated Street Luminaire," Energies, MDPI, vol. 11(6), pages 1-16, May.
    6. Ivana Rakonjac & Ana Zorić & Ivan Rakonjac & Jelena Milošević & Jelena Marić & Danilo Furundžić, 2022. "Increasing the Livability of Open Public Spaces during Nighttime: The Importance of Lighting in Waterfront Areas," Sustainability, MDPI, vol. 14(10), pages 1-25, May.
    7. Rami David Orejon-Sanchez & Jose Ramon Andres-Diaz & Alfonso Gago-Calderon, 2021. "Autonomous Photovoltaic LED Urban Street Lighting: Technical, Economic, and Social Viability Analysis Based on a Case Study," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    8. Antonio Peña-García & Ferdinando Salata, 2020. "The Perspective of Total Lighting as a Key Factor to Increase the Sustainability of Strategic Activities," Sustainability, MDPI, vol. 12(7), pages 1-8, April.
    9. Adam Sȩdziwy, 2015. "Sustainable Street Lighting Design Supported by Hypergraph-Based Computational Model," Sustainability, MDPI, vol. 8(1), pages 1-13, December.
    10. Lingyan Zhang & Shan Huang & Yunchen Zhu & Chen Hua & Mingjun Cheng & Song Yao & Yonghua Li, 2023. "Supply and Demand for Planning and Construction of Nighttime Urban Lighting: A Comparative Case Study of Binjiang District, Hangzhou," Sustainability, MDPI, vol. 15(14), pages 1-23, July.
    11. Robert Shaw, 2014. "Streetlighting in England and Wales: New Technologies and Uncertainty in the Assemblage of Streetlighting Infrastructure," Environment and Planning A, , vol. 46(9), pages 2228-2242, September.
    12. Theodor Terrich & Marek Balsky, 2022. "The Effect of Spill Light on Street Lighting Energy Efficiency and Light Pollution," Sustainability, MDPI, vol. 14(9), pages 1-10, April.
    13. Roman Sikora & Przemysław Markiewicz, 2020. "Assessment of Colorimetric Parameters for HPS Lamp with Electromagnetic Control Gear and Electronic Ballast," Energies, MDPI, vol. 13(11), pages 1-21, June.
    14. Djuretic, Andrej & Kostic, Miomir, 2018. "Actual energy savings when replacing high-pressure sodium with LED luminaires in street lighting," Energy, Elsevier, vol. 157(C), pages 367-378.
    15. Ovidio Rabaza & Evaristo Molero-Mesa & Fernando Aznar-Dols & Daniel Gómez-Lorente, 2018. "Experimental Study of the Levels of Street Lighting Using Aerial Imagery and Energy Efficiency Calculation," Sustainability, MDPI, vol. 10(12), pages 1-16, November.
    16. Davidovic, M. & Kostic, M., 2022. "Comparison of energy efficiency and costs related to conventional and LED road lighting installations," Energy, Elsevier, vol. 254(PB).
    17. Soares, N. & Martins, A.G. & Carvalho, A.L. & Caldeira, C. & Du, C. & Castanheira, É. & Rodrigues, E. & Oliveira, G. & Pereira, G.I. & Bastos, J. & Ferreira, J.P. & Ribeiro, L.A. & Figueiredo, N.C. & , 2018. "The challenging paradigm of interrelated energy systems towards a more sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 171-193.
    18. Roman Sikora & Przemysław Markiewicz & Wiesława Pabjańczyk, 2018. "The Active Power Losses in the Road Lighting Installation with Dimmable LED Luminaires," Sustainability, MDPI, vol. 10(12), pages 1-25, December.
    19. Hermoso Orzáez, Manuel Jesús & de Andrés Díaz, José Ramón, 2013. "Comparative study of energy-efficiency and conservation systems for ceramic metal-halide discharge lamps," Energy, Elsevier, vol. 52(C), pages 258-264.
    20. Tallal Ahmed & Waqas Khalid & Adeela Aslam, 2022. "Energy conservation potential in highway illumination system: A Techno-Enviro-Economic study on retrofitting HPS with LED luminaires," Energy & Environment, , vol. 33(3), pages 599-613, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:10:y:2017:i:1:p:141-:d:88578. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.