Szczegóły publikacji
Opis bibliograficzny
Similarity and conformity graphs in lighting optimization and assessment / Artur BASIURA, Adam SĘDZIWY, Konrad KOMNATA // W: Computational Science – ICCS 2021 : 21st international conference : Krakow, Poland, June 16–18, 2021 : proceedings, Pt. 4 / eds. Maciej Paszyński, [et al.]. — Cham : Springer Nature Switzerland, cop. 2021. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12745. Theoretical Computer Science and General Issues ; ISSN 0302-9743). — ISBN: 978-3-030-77969-6; e-ISBN: 978-3-030-77970-2. — S. 145–157. — Bibliogr., Abstr. — Publikacja dostępna online od: 2021-06-09
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 134731 |
|---|---|
| Data dodania do BaDAP | 2021-06-24 |
| DOI | 10.1007/978-3-030-77970-2_12 |
| Rok publikacji | 2021 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | 21st International Conference on Computational Science |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
Lighting affects everyday life in terms of safety, comfort and quality of life. On the other side it consumes significant amounts of energy. Thanks to the effect of scale, even a small unit reduction of a power efficiency yields the significant energy and cost savings. Unfortunately, planning a highly optimized lighting installation is a task of the high complexity, due to a huge number of variants to be checked. In such circumstances it becomes necessary to use a formal model, applicable for automated bulk processing, which allows finding the best setup or estimating resultant installation power in an acceptable time, i.e., in hours rather than days. This paper introduces such a formal model relying on the similarity and conformity graph concepts. The examples of their practical application in outdoor lighting planning are also presented. Applying those structures allows reducing substantially a processing time required for planning large scale installations.