Extending the Automation Pyramid for Industrial Demand Response

Abstract Industrial demand response uses a multitude of energy flexibility measures. Their planning and control requires various production IT systems. A widely accepted approach to classify these inhouse IT systems are the levels of the automation pyramid in companies. This paper broadens the scope of this concept to overcome the limitation to companies’ (virtual) borders by including required IT systems that refine and monetarize a company’s energy flexibility, e.g. energy markets, aggregators, etc. Therefore, a holistic approach for the classification of functionalities for industrial demand response across companies and energy markets is developed and applied exemplarily.

[1]  Pierluigi Siano,et al.  Demand response and smart grids—A survey , 2014 .

[2]  Martin Weibelzahl,et al.  Nodal, zonal, or uniform electricity pricing: how to deal with network congestion , 2017 .

[3]  Arshdeep Bahga,et al.  Blockchain Platform for Industrial Internet of Things , 2016 .

[4]  Gunther Reinhart,et al.  Integration and Interaction of Energy Flexible Manufacturing Systems within a Smart Grid , 2017 .

[5]  Mihailo Ristic,et al.  Economic dispatch of distributed combined heat and power systems participating in electricity spot markets , 2008 .

[6]  Gunther Reinhart,et al.  Klassifizierung von Energieflexibilitätsmaßnahmen , 2017 .

[7]  Yingzhong Gu,et al.  Fast sensitivity analysis approach to assessing congestion induced wind curtailment , 2015 .

[8]  Xi Lu,et al.  Challenges faced by China compared with the US in developing wind power , 2016, Nature Energy.

[9]  Marcel Prokopczuk,et al.  The Case of Negative Day-Ahead Electricity Prices , 2011 .

[10]  S. Rahmstorf,et al.  Three years to safeguard our climate , 2017, Nature.

[11]  Ronnie Belmans,et al.  The implications of two German price zones in a european-wide context , 2016, 2016 13th International Conference on the European Energy Market (EEM).

[12]  Marc Dorchain,et al.  Data Mining und Analyse , 2014 .

[13]  Peter Palensky,et al.  Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.

[14]  Frantisek Zezulka,et al.  Industry 4.0 – An Introduction in the phenomenon , 2016 .

[15]  Tobias Meudt,et al.  Die Automatisierungspyramide - Ein Literaturüberblick , 2017 .

[16]  Gunther Reinhart,et al.  Evaluating Measures for Adapting the Energy Demand of a Production System to Volatile Energy Prices , 2014 .

[17]  Eberhard Abele,et al.  Decentral Control Strategies for Demand-Side Management by Industrial Heating and Cooling Devices with Discontinuous Operation Mode , 2018 .

[18]  Matthias Jarke,et al.  Generic Data Model for Describing Real-Time Data-Supported Power Flexibility , 2018 .

[19]  Matthias Jarke,et al.  Flexible IT platform for synchronizing energy demands with volatile markets , 2018, it Inf. Technol..

[20]  Jianhui Wang,et al.  Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response , 2015 .

[21]  Andreas Bildstein,et al.  Industrie 4.0-Readiness: Migration zur Industrie 4.0-Fertigung , 2014 .

[22]  R. M. Shereef,et al.  Review of demand response under smart grid paradigm , 2011, ISGT2011-India.

[23]  Nils Urbach,et al.  Cross-Organizational Workflow Management Using Blockchain Technology - Towards Applicability, Auditability, and Automation , 2018, HICSS.

[24]  Lion Hirth,et al.  Congestion Management: From Physics to Regulatory Instruments , 2018 .

[25]  Hans Christian Gils,et al.  Assessment of the theoretical demand response potential in Europe , 2014 .

[26]  Machteld van den Broek,et al.  Least-cost options for integrating intermittent renewables in low-carbon power systems , 2016 .

[27]  Gunther Reinhart,et al.  Energy Supply Orientation in Production Planning Systems , 2016 .

[28]  Matthias Jarke,et al.  Flexible IT-platform to Synchronize Energy Demands with Volatile Markets , 2017 .

[29]  Mohammed H. Albadi,et al.  A summary of demand response in electricity markets , 2008 .

[30]  Alexander Martin,et al.  On the long run effects of market splitting: Why more price zones might decrease welfare , 2016 .

[31]  Martin Weibelzahl,et al.  The Impact of Substituting Production Technologies on the Economic Demand Response Potential in Industrial Processes , 2018, Energies.