Pick-up & Deliver in Maintenance Management of Renewable Energy Power Plants

• Autorzy: Vincenza, Carchiolo , Francesco, Di Dio , Longheu, Alessandro , Malgeri, Michele , Mangioni, Giuseppe , Romeo, Antonio , Trapani, Natalia
• Konferencja: Federated Conference on Computer Science and Information Systems (15 ; 06-09.09.2020 ; Sofia, Bulgaria)
• Języki publikacji: EN

Abstrakty

EN

Logistic optimization is a strategic element in many industrial processes, given that an optimized logistics makes the processes more efficient. A relevant case, in which the optimization of logistics can be decisive, is the maintenance in a Wind Farm where it can lead directly to a saving of energy cost. Wind farm maintenance presents, in fact, significant logistical challenges. They are usually distributed throughout the territory and also located at considerable distances from each other, they are generally found in places far from uninhabited centers and sometimes difficult to reach and finally spare parts are rarely available on the site of the plant itself. In this paper, we will study the problem concerning the optimization of maintenance logistics of wind plants based on the use of specific vehicle routing optimization algorithms. In particular a pickup-and- delivery algorithm with time-window is adopted to satisfy the maintenance requests of these plants, reducing their management costs. The solution was applied to a case study in a renewable energy power plant. Results time reduction and simplification and optimization obtained in the real case are discussed to evaluate the effectiveness and efficiency of the adopted approach.

Słowa kluczowe

PL

logistyka; inżynieria utrzymania ruchu; optymalizacja; odnawialne źródła energii; wyznaczanie tras pojazdów; elektrownia wiatrowa

EN

logistics; maintenance engineering; optimisation; renewable energy sources; vehicle routing; wind power plants

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2020
• Tom: Vol. 21
• Strony: 579--585
• Opis fizyczny: Bibliogr. 22 poz., wz., rys., tab.

Twórcy

autor

Vincenza, Carchiolo

• Dipartimento di Matematica ed Informatica - Universitá di Catania - Catania - Italy

autor

Francesco, Di Dio

• Development and Support Center - BaxEnergy - Catania, Italy

autor

Longheu, Alessandro

• Dipartimento di Ingegneria Elettrica Elettronica Informatica - Universitá di Catania - Catania - Italy

autor

Malgeri, Michele

• Dipartimento di Ingegneria Elettrica Elettronica Informatica - Universitá di Catania - Catania - Italy

autor

Mangioni, Giuseppe

• Dipartimento di Ingegneria Elettrica Elettronica Informatica - Universitá di Catania - Catania - Italy

autor

Romeo, Antonio

• Dipartimento di Ingegneria Elettrica Elettronica Informatica - Universitá di Catania - Catania - Italy

autor

Trapani, Natalia

• Dipartimento di Ingegneria Elettrica Elettronica Informatica - Universitá di Catania - Catania - Italy

Bibliografia

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Uwagi

1. This work was partially supported by WEAMS N.F/050145/00/X32 project

2. Track 4: Information Systems and Technology

3. Technical Session: 15th Conference on Information Systems Management

4. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).

Identyfikatory

DOI

10.15439/2020F114