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Entropy 2016, 18(3), 76; doi:10.3390/e18030076

Multi-Agent System Supporting Automated Large-Scale Photometric Computations

Department of Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland
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Academic Editor: J. A. Tenreiro Machado
Received: 2 February 2016 / Revised: 18 February 2016 / Accepted: 23 February 2016 / Published: 27 February 2016
(This article belongs to the Section Complexity)
View Full-Text   |   Download PDF [3876 KB, uploaded 27 February 2016]   |  

Abstract

The technologies related to green energy, smart cities and similar areas being dynamically developed in recent years, face frequently problems of a computational nature rather than a technological one. The example is the ability of accurately predicting the weather conditions for PV farms or wind turbines. Another group of issues is related to the complexity of the computations required to obtain an optimal setup of a solution being designed. In this article, we present the case representing the latter group of problems, namely designing large-scale power-saving lighting installations. The term “large-scale” refers to an entire city area, containing tens of thousands of luminaires. Although a simple power reduction for a single street, giving limited savings, is relatively easy, it becomes infeasible for tasks covering thousands of luminaires described by precise coordinates (instead of simplified layouts). To overcome this critical issue, we propose introducing a formal representation of a computing problem and applying a multi-agent system to perform design-related computations in parallel. The important measure introduced in the article indicating optimization progress is entropy. It also allows for terminating optimization when the solution is satisfying. The article contains the results of real-life calculations being made with the help of the presented approach. View Full-Text
Keywords: street lighting; energy efficiency; photometric computations; entropy; multi-agent system; graphs street lighting; energy efficiency; photometric computations; entropy; multi-agent system; graphs
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Sȩdziwy, A.; Kotulski, L. Multi-Agent System Supporting Automated Large-Scale Photometric Computations. Entropy 2016, 18, 76.

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