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Erschienen in: Clean Technologies and Environmental Policy 7/2014

01.10.2014 | Original paper

Energy monitoring of process systems: time-series segmentation-based targeting models

verfasst von: Janos Abonyi, Tibor Kulcsar, Miklos Balaton, Laszlo Nagy

Erschienen in: Clean Technologies and Environmental Policy | Ausgabe 7/2014

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Abstract

Energy monitoring systems calculate actual energy use, estimate energy needs at normal operation, track energy metrics, and highlight issues related to energy efficiency of process plants. Analysis of key energy indicators (KEIs) allows the comparison of process efficiency at different operating regimes. Based on the extracted knowledge realistic targets of KEIs can be determined. The performance of data-driven targeting models depends on how effective the operating regimes are characterized. Till now this modeling task is performed manually based on heuristic and subjective evaluation of the operation. A goal-oriented time-series segmentation technique has been developed to automate the selection of proper data used for the identification of targeting models. With the proposed novel segmentation algorithm targeting-models for different operating regions can be automatically determined. The concept of the resulted energy monitoring system is demonstrated at Heavy Naphtha Hydrotreater and CCR Reforming Units of MOL Hungarian Oil and Gas Company.

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Literatur
Zurück zum Zitat Abonyi J, Babuska R, Szeifert F (2002) Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models. IEEE Trans Syst Man Cybern B Cybern 32(5):612–621CrossRef Abonyi J, Babuska R, Szeifert F (2002) Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models. IEEE Trans Syst Man Cybern B Cybern 32(5):612–621CrossRef
Zurück zum Zitat Brau JF, Morandin M, Berntsson T (2013) Hydrogen for oil refining via biomass indirect steam gasification: energy and environmental targets. Clean Technol Environ Policy 15(3):501–512. doi:10.1007/s10098-013-0591-9 CrossRef Brau JF, Morandin M, Berntsson T (2013) Hydrogen for oil refining via biomass indirect steam gasification: energy and environmental targets. Clean Technol Environ Policy 15(3):501–512. doi:10.​1007/​s10098-013-0591-9 CrossRef
Zurück zum Zitat Cox W, Considine T, Principal T (2009) Price communication, product definition, and service-oriented energy Cox W, Considine T, Principal T (2009) Price communication, product definition, and service-oriented energy
Zurück zum Zitat Dayal B, MacGregor JF (1997) Improved PLS algorithms. J Chemom 11(1):73–85CrossRef Dayal B, MacGregor JF (1997) Improved PLS algorithms. J Chemom 11(1):73–85CrossRef
Zurück zum Zitat Duflou JR, Sutherland JW, Dornfeld D, Herrmann C, Jeswiet J, Kara S, Hauschild M, Kellens K (2012) Towards energy and resource efficient manufacturing: a processes and systems approach. CIRP Ann-Manuf Technol 61(2):587–609. doi:10.1016/j.cirp.2012.05.002 CrossRef Duflou JR, Sutherland JW, Dornfeld D, Herrmann C, Jeswiet J, Kara S, Hauschild M, Kellens K (2012) Towards energy and resource efficient manufacturing: a processes and systems approach. CIRP Ann-Manuf Technol 61(2):587–609. doi:10.​1016/​j.​cirp.​2012.​05.​002 CrossRef
Zurück zum Zitat Energetics I (2006) Energy bandwidth for petroleum refining processes, prepared by Energetics Incorporated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Industrial Technologies Program Energetics I (2006) Energy bandwidth for petroleum refining processes, prepared by Energetics Incorporated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Industrial Technologies Program
Zurück zum Zitat Gutirrez-Arriaga C, Serna-Gonzlez M, Ponce-Ortega J, El-Halwagi M (2013) Multi-objective optimization of steam power plants for sustainable generation of electricity. Clean Technol Environ Policy 15(4):551–566. doi:10.1007/s10098-012-0556-4 CrossRef Gutirrez-Arriaga C, Serna-Gonzlez M, Ponce-Ortega J, El-Halwagi M (2013) Multi-objective optimization of steam power plants for sustainable generation of electricity. Clean Technol Environ Policy 15(4):551–566. doi:10.​1007/​s10098-012-0556-4 CrossRef
Zurück zum Zitat Himberg J, Korpiaho K, Mannila H, Tikanmaki J, Toivonen H (2001) Time-series segmentation for context recognition in mobile devices. IEEE International Conference on Data Mining (ICDM01), San Jose, California pp 466–473 Himberg J, Korpiaho K, Mannila H, Tikanmaki J, Toivonen H (2001) Time-series segmentation for context recognition in mobile devices. IEEE International Conference on Data Mining (ICDM01), San Jose, California pp 466–473
Zurück zum Zitat Jurek P, Bras B, Guldberg T, D’Arcy J, Oh SC, Biller S (2012) Activity-based costing applied to automotive manufacturing. In: Power and Energy Society General Meeting, 2012 IEEE, IEEE, pp 1–7 Jurek P, Bras B, Guldberg T, D’Arcy J, Oh SC, Biller S (2012) Activity-based costing applied to automotive manufacturing. In: Power and Energy Society General Meeting, 2012 IEEE, IEEE, pp 1–7
Zurück zum Zitat MacGregor J, Kourti T (1995) Statistical process control of multivariate processes. Control Eng Pract 3(3):403–414CrossRef MacGregor J, Kourti T (1995) Statistical process control of multivariate processes. Control Eng Pract 3(3):403–414CrossRef
Zurück zum Zitat Murray-Smith R, Johansen T (1997) Multiple model approaches to nonlinear modelling and control. CRC Press, New York Murray-Smith R, Johansen T (1997) Multiple model approaches to nonlinear modelling and control. CRC Press, New York
Zurück zum Zitat Nelles O (2001) Nonlinear system identification: from classical approaches to neural networks and fuzzy models. Springer, BerlinCrossRef Nelles O (2001) Nonlinear system identification: from classical approaches to neural networks and fuzzy models. Springer, BerlinCrossRef
Zurück zum Zitat Oh SC, Hildreth AJ (2013) Decisions on energy demand response option contracts in smart grids based on activity-based costing and stochastic programming. Energies 6(1):425–443CrossRef Oh SC, Hildreth AJ (2013) Decisions on energy demand response option contracts in smart grids based on activity-based costing and stochastic programming. Energies 6(1):425–443CrossRef
Zurück zum Zitat Oji S (2012) Case study - online energy management and optimisation of utility generation assets on industrial sites. In: Bogle IDL, Fairweather M (eds) 22nd European symposium on computer aided process engineering, computer aided chemical engineering. Elsevier, Amsterdam, pp 337–341. doi:10.1016/B978-0-444-59519-5.50068-X Oji S (2012) Case study - online energy management and optimisation of utility generation assets on industrial sites. In: Bogle IDL, Fairweather M (eds) 22nd European symposium on computer aided process engineering, computer aided chemical engineering. Elsevier, Amsterdam, pp 337–341. doi:10.​1016/​B978-0-444-59519-5.​50068-X
Zurück zum Zitat Ramasubramanian S, Avinash Y, Pragathi Chitra S, Geetha T, Anand S (2009) An activity based approach to minimize energy usage of service sector infrastructure. In: Infrastructure Systems and Services: Developing 21st Century Infrastructure Networks, (INFRA), 2009 Second International Conference on, IEEE, pp 1–6 Ramasubramanian S, Avinash Y, Pragathi Chitra S, Geetha T, Anand S (2009) An activity based approach to minimize energy usage of service sector infrastructure. In: Infrastructure Systems and Services: Developing 21st Century Infrastructure Networks, (INFRA), 2009 Second International Conference on, IEEE, pp 1–6
Zurück zum Zitat Saidur R, Sambandam M, Hasanuzzaman M, Devaraj D, Rajakarunakaran S, Islam M (2012) An energy flow analysis in a paper-based industry. Clean Technol Environ Policy 14(5):905–916. doi:10.1007/s10098-012-0462-9 CrossRef Saidur R, Sambandam M, Hasanuzzaman M, Devaraj D, Rajakarunakaran S, Islam M (2012) An energy flow analysis in a paper-based industry. Clean Technol Environ Policy 14(5):905–916. doi:10.​1007/​s10098-012-0462-9 CrossRef
Zurück zum Zitat Vasko K, Toivonen H (2002) Estimating the number of segments in time series data using permutation tests. IEEE International Conference on Data Mining pp 466–473. Vasko K, Toivonen H (2002) Estimating the number of segments in time series data using permutation tests. IEEE International Conference on Data Mining pp 466–473.
Zurück zum Zitat Zaouaka O, Daouda A, Fagesb M, Fanlob JL, Auberta B (2012) High performance cost effective miniature sensor for continuous network monitoring of h2s. Chem Eng Trans 30:325–330. doi:10.3303/CET1230055 Zaouaka O, Daouda A, Fagesb M, Fanlob JL, Auberta B (2012) High performance cost effective miniature sensor for continuous network monitoring of h2s. Chem Eng Trans 30:325–330. doi:10.​3303/​CET1230055
Metadaten
Titel
Energy monitoring of process systems: time-series segmentation-based targeting models
verfasst von
Janos Abonyi
Tibor Kulcsar
Miklos Balaton
Laszlo Nagy
Publikationsdatum
01.10.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Clean Technologies and Environmental Policy / Ausgabe 7/2014
Print ISSN: 1618-954X
Elektronische ISSN: 1618-9558
DOI
https://doi.org/10.1007/s10098-014-0808-6

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