Abstract

Nowadays, energy consumption is on the rise. This is not sustainable in the long run. The highest energy use in Town Councils takes place in street lighting installations. In order to help in this problem, we present a mobile service to evaluate the electrical consumption of these infrastructures. This new tool is able to make an estimation of energy demand of installations; on an easy and intuitive way thanks to an evaluation methodology which reduces the need of a large list of parameters used by other programs. As a result, the developed application also gives users the opportunity to compare the efficiency of the installation evaluated with others previously evaluated to increase energy efficiency. The application was tested with two different experiments to ensure its correct running and to evaluate both the estimation accuracy and usability.

Recommended Citation

Castillo-Martinez, A., Gutierrez-Escolar, A., Garcia-Lopez, E., Garcia-Cabot, A., & Barchino, R. (2014). Implementing a Mobile Application for Street Lighting Evaluation. In V. Strahonja, N. Vrček., D. Plantak Vukovac, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Information Systems Development: Transforming Organisations and Society through Information Systems (ISD2014 Proceedings). Varaždin, Croatia: Faculty of Organization and Informatics. ISBN: 978-953-6071-43-2. http://aisel.aisnet.org/isd2014/proceedings/MobileTechnologies/4.

COinS
 

Implementing a Mobile Application for Street Lighting Evaluation

Nowadays, energy consumption is on the rise. This is not sustainable in the long run. The highest energy use in Town Councils takes place in street lighting installations. In order to help in this problem, we present a mobile service to evaluate the electrical consumption of these infrastructures. This new tool is able to make an estimation of energy demand of installations; on an easy and intuitive way thanks to an evaluation methodology which reduces the need of a large list of parameters used by other programs. As a result, the developed application also gives users the opportunity to compare the efficiency of the installation evaluated with others previously evaluated to increase energy efficiency. The application was tested with two different experiments to ensure its correct running and to evaluate both the estimation accuracy and usability.