A Method of Effective Planning and Control of Industrial Facility Energy Consumption
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
A Method of Effective Planning and Control of Industrial Facility Energy Consumption

Authors: Aleksandra Aleksandrovna Filimonova, Lev Sergeevich Kazarinov, Tatyana Aleksandrovna Barbasova

Abstract:

A method of effective planning and control of industrial facility energy consumption is offered. The method allows optimally arranging the management and full control of complex production facilities in accordance with the criteria of minimal technical and economic losses at the forecasting control. The method is based on the optimal construction of the power efficiency characteristics with the prescribed accuracy. The problem of optimal designing of the forecasting model is solved on the basis of three criteria: maximizing the weighted sum of the points of forecasting with the prescribed accuracy; the solving of the problem by the standard principles at the incomplete statistic data on the basis of minimization of the regularized function; minimizing the technical and economic losses due to the forecasting errors.

Keywords: Energy consumption, energy efficiency, energy management system, forecasting model, power efficiency characteristics.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1110073

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1556

References:


[1] W.C. Turner, S. Doty, Energy Management Handbook, Library of Congress Cataloging in Publication Data, 2007.
[2] D. Niu, J. Wang, D.D. Wu, Power load forecasting using support vector machine and ant colony optimization, Expert Systems with Applications, 2010, vol. 37, pp. 2531–2539.
[3] K. Nolde, M. Morari, Electrical load tracking scheduling of a steel plant, Compt. Chem. Eng., 2010, vol. 34, pp. 1899–1903.
[4] M. Amina, V.S. Kodogiannis, I. Petrounias, D. Tomtsis, A hybrid intelligent approach for the prediction of electricity consumption, Electr. Power Energy Syst., 2012, vol. 43, pp. 1–108.
[5] F.M Andersen, H.V. Larsen, T.K. Boomsma, Longterm forecasting of hourly electricity load: Identification of consumption profiles and segmentation of customers, Energy Conver. Manag., 2013, vol. 68, pp. 244–252.
[6] L.S. Kazarinov, D.A. Shnayder, T.A. Barbasova, and oth., Automated control systems in energy saving (Development experience). Chelyabinsk: Publisher SUSU, 2010.
[7] L.S. Kazarinov, T.A. Barbasova, O.V. Kolesnikova, A.A. Zakharova. “Method of multilevel rationing and optimal forecasting of volumes of electric-energy consumption by an industrial enterprise,” Autom. Control Comput. Sci., vol. 48 (6), 2015; pp. 324-333.
[8] D. Niu, J. Li, J. Li, D. Liu, “Middle-long power load forecasting based on particle swarm optimization,” Comput. Math. Appl. vol. 57, 2009, pp. 1883-1889.
[9] L.S.Kazarinov, A.B. Bordetsky “Optimization algorithm for design problems with inconsistent specifications,” Information and control elements and systems. Proceedings of the ChPI, vol. 231. Chelyabinsk, 1979.
[10] I.A. Yapryntseva, “The preparation to control the consumption of fuel in the JSC "Magnitogorsky Iron and Steel Works" on the Basis of Mathematical Statistical Dependencies,” Proceedings of the Chelyabinsk Scientific Center, 2004, pp.96 – 100.