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Zużycie energii elektrycznej w tekturnicy – możliwości optymalizacji oraz prognozowania. Część 1.

Musielak S.

Przegląd Papierniczy

2014

R. 70, nr 9

537--542

W artykule przedstawiono wyniki badań i analiz dotyczących poboru energii elektrycznej przez tekturnice i poszczególne jej moduły. Zaproponowano systemy pomiarowe oraz modele regresji zużycia energii dla różnych fal tektury, modułów tekturnicy oraz kompletnej maszyny, a także rozwiązania umożliwiające zoptymalizowanie zużycia energii elektrycznej przez tekturnicę. Scharakteryzowano inteligentny system Power Menager (1), który umożliwia optymalizowanie zużycia energii elektrycznej w czasie produkcji. Zwrócono także uwagę na możliwości zastosowania modelu sieci neuronowej do celów prognozowania oraz przedstawiono zamierzenia firmy BHS dotyczące projektu pilotowego opartego o strukturę Systemu Realizacji Produkcji (MES – Manufacturing Execution System).

The electricity consumption in the production process has been a much discussed topic over the last few years. It is very important to create a concept for reducing the electrical energy, which is used in the production of corrugated board. The core element of my consideration concerns the technology used for the drive units, which amounts to almost 70 % of the metered readings for electrical consumption. This document deals with the consumption readings and measurements for the individual modules of the corrugated board plant. Furthermore, I present a regression model for the electricity consumption for the various corrugated board plant modules. The effects on the production speed and quality are also considered. The measurements and improvement analysis are implemented on two different corrugated board plants. The measurements have been carried out on the production machines over a time period of a number of weeks. This document presents the proposals for optimizing the electricity consumption for one corrugated board plant. A special consideration is the input power into a continuous process as well as the electricity consumption when changing the production speed. The time intervals with particularly high consumption are highlighted. Another separate consideration is the downtime consumption for each individual machine. The weak points are analyzed and possible technical improvements are presented. The results of the inspection should be discussed with the electricity provider in order to use any possible synergy effects. The use of such regression models for the various production methods has not been fully investigated up to now. Particularly in times of exploding energy prices, these methods could provide a new impulse for future considerations. Alongside the required energy savings in thermal energy and insulation measures, electricity consumption has been somewhat overlooked to date. The increasing prices of the electricity providers have, however, clearly shown that optimization is also necessary in this place. A corrugated board plant is a very comprehensive and complicated machine. In principle, electricity consumption is seen as a direct component in the performance process. Actually, this is not always the case as the submitted document clearly shows. Applications such as power systems also provide the possibility to develop a prognosis for the electricity consumption during the production process regardless of the produced quality due to fluctuations in the price of electricity. Prognosis: The use of a neuronal network model will be presented for the purpose of developing a prognosis.The latest step was to present a pilot project of Messrs. BHS Corrugated, which has recently been started on the basis of MES (Manufacturing Execution System).