Abstract
The topic of demand-side management has grown within one decade from a “buzzword” to a vast academic research field where the multitude of complexities is acknowledged by a large number of potential methods to tackle the problem (see previous chapter). This is just one example of energy-related aspects which are getting attractive for heavy industries. The role of energy has become more important than ever—both because of environmental and cost reasons. Therefore, the time is right to bring the best theories into practice. The industry is both open toward, as well as, looking for solutions that can improve the energy efficiency, sustainability, and productivity simultaneously while reducing the total costs of production. In parallel, the developments within information technology, highlighting the topic of integration and collaboration, support applications that merge earlier separated tasks and aim to maximize the synergies between various industrial solutions. In this chapter, the main focus is on existing tools and how to meet the needs of energy-intensive processes. These will be discussed along real case studies.
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References
Ali, H., Price, L. K., McKane, A., T., 2007, The State-of-the-Art Clean Technologies (SOACT) for Steelmaking Handbook, Asia Pacific Partnership for Clean Development and Climate.
ANSI/ISA-95.00.03-2005, 2005, Enterprise-Control System Integration. Part 3: Activity models of manufacturing operations management, Research Triangle Park, NC: ISA – The Instrumentation, Systems, and Automation Society.
BASF, 2015a, BASF Factbook 2015 Information for investors and analysts, available online at: https://www.basf.com/en/microsites/factbook-2015.html, accessed 31.07.2015.
BASF, 2015b, Energy and climate protection, Online report 2014, available at: https://report.basf.com/2014/en/managements-report/responsibility-along-the-value-chain/environment/energy-and-climate-protection.html, accessed 31.07.2015.
BASF, 2015c, Sustainability – Energy Efficiency, available online at: https://www.basf.com/en/company/sustainability/environment/energy-andclimate-protection/energy-efficiency.html, accessed 31.07.2015.
Castro, P., Sun, L., Harjunkoski, I., 2013, Resource–Task Network Formulations for Industrial Demand Side Management of a Steel Plant, Ind. Eng. Chem. Res., 52, 36, 13046–13058.
Charles River Associates, 2005, Primer on demand-side management, The World Bank.
Demand Response Research Center, 2013, Demand Response Research Center, available at: http://drrc.lbl.gov/.
Engel, H., Smith, W. T., 2014, At the heart of the Verbund, Investor roundtable Chemicals segment 2014, presentation, available at: https://www.basf.com/documents/corp/en/investor-relations/calendar-and-publications/presentations/2014/140609_BASF_Investor-Roundtable-Chemicals_Boston-NYC.pdf, accessed 31.07.2015.
European Union, 2011, Energy 2020. A strategy for competitive sustainable and secure energy.
European Union, 2012, Directive 2012/27/EU of the European Parliament and of the Council of 25 October 2012 on energy efficiency, amending Directives 2009/125/EC and 2010/30/EU and repealing Directives 2004/8/EC and 2006/32/EC Text with EEA relevance, Official Journal of the European Union.
Gajic, D., Onofri, L., Harjunkoski, I., Hadera, H., Di Gennaro, S., 2015, Integrated production and electricity consumption optimization in a melt shop, submitted to Energy Conversion and Management.
Geiger, T., 2011, Energy Management at BASF Corporation, Center for climate and energy solution, presentation, available at: http://www.c2es.org/docUploads/geiger-austin-ee-workshop.pdf, accessed 31.07.2015.
Grossmann, I. E., 2005, Enterprise-wide optimization: A new frontier in process systems engineering, AIChE Journal, 51, 7, 1547–5905.
Hadera, H. and Harjunkoski, I., 2013, Continuous-time batch scheduling approach for optimizing electricity consumption cost, Computer Aided Chemical Engineering, Elsevier, 32, pp. 403–408.
Hadera, H., Harjunkoski, I., Sand, G., Grossmann, I. E., Engell, S., 2015a, Optimization of steel production scheduling with complex time-sensitive electricity cost, Computers & Chemical Engineering, 76, pp. 117–136.
Hadera, H., 2015, Integrated electricity demand-side management and scheduling of energy-intensive plants: application to stainless-steel and thermo-mechanical pulping industry, PhD thesis, TU Dortmund, Germany.
Hadera, H., Wide, P., Harjunkoski, I., Mäntysaari, J., Ekström, J., Sand, G., Engell, S., 2015b, A Mean Value Cross Decomposition strategy for Demand-side Management of a pulping process, Computer Aided Chemical Engineering, Elsevier, 37, pp. 1931–1936.
Harjunkoski, I., Merkert, L., Hadera, H., Gajic, D., Onofri, L., Shemeikka, A., 2015, Dicing the load: flexible production saves energy costs, ABB Review, 3, 15, pp. 18–24.
Hasan, M. M. F., Karimi, I. A., Alfadala, H. E., 2009, Optimizing Compressor Operations in an LNG Plant, In Advances in Gas Processing, Elsevier, 1, 179–184.
ISO, 2011, 50001: Energy management system.
Karagiannopoulos, S., Vrettos, E., Andersson, G. and Zima, M., 2014, Scheduling and real-time control of flexible loads and storage in electricity markets under uncertainty, 11th International Conference on the European Energy Market EEM14, 28–30 May, Krakow, Poland.
Merkert, L., Harjunkoski, I., Isaksson, A., Säynevirta, S., Saarela, A., Sand, G., 2015, Scheduling and energy – industrial challenges and opportunities, Computers and Chemical Engineering, 72, 183–198.
Pulkkinen, P. and Ritala, R., 2008, TMP production scheduling under uncertainty: Methodology and case studies, Chemical Engineering and Processing, Elsevier, 47, pp. 1492–1503.
Santos, A., Dourado, A., 1999, Global optimization of energy and production in process industries: a genetic algorithm application, Control Engineering Practice, 7, 4, 549–554.
Scheihing, P., 2014, Save energy through the superior energy performance program, Chemical Engineering Progress, September 2014, pp. 48–51.
Vosloo, J. C., 2006, Control of an underground rock winder system to reduce electricity costs on RSA gold mines, MSc thesis, Nort West University, South Africa.
Zargarzadeh, M., Karimi, I. A., Alfadala, H., 2007, Olexan, a tool for online exergy analysis, Proceedings of 17 the European Symposium on Computer Aided Process Engineering.
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Harjunkoski, I., Hadera, H. (2016). Industrial Tools and Needs. In: Martín, M. (eds) Alternative Energy Sources and Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-28752-2_15
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DOI: https://doi.org/10.1007/978-3-319-28752-2_15
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