Endkundenfokussierte Feedbacksysteme im Energiebereich zur zielgruppenkonformen Kommunikation von Verbrauchsinformationen und Handlungsempfehlungen

Chapter
Part of the Europäische Kulturen in der Wirtschaftskommunikation book series (EKW, volume 28)

Zusammenfassung

Feedbacksysteme im Energiebereich, insbesondere zur Auswertung von Verbrauchsinformationen in privaten Haushalten, stellen ein probates Mittel zur Einsparung von Ressourcen dar. Mittelfristig werden Energieversorger durch den Rollout von Smart Metern eine passende Datengrundlage erhalten, welche solche Entscheidungsunterstützungssysteme für einen breiten Personenkreis zugänglich machen und auf aktuelle Trends im Bereich Smart Home einzahlen. Die vorliegenden Untersuchung soll einen Beitrag leisten, zur Konstruktion eines passenden Systems auf Basis von Grundlagen der Business Intelligence mittels der Erhebung eines Status Quo von aktuell bereits verfügbaren Systemen in dieser Domäne sowie der Identifikation von Gestaltungsempfehlungen aus der Forschung. Dazu wird zunächst auf die Grundlagen und Wirkungsmechanismen von Feedback eingegangen. Mittels einer Literaturuntersuchung wurden visuelle und inhaltliche Akzeptanzkriterien sowie der Wunsch des Nutzers nach Individualisierung und Personalisierung der Systeme aufgedeckt, stets mit dem Ziel einer langfristigen Erhaltung der Nutzung.

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Literatur

  1. Aichele, Christian/Doleski, Oliver D. (2013): Smart Meter Rollout. Praxisleitfaden zur Ausbringung intelligenter Zähler. Wiesbaden: Springer Vieweg.Google Scholar
  2. Åström, Karl J./Murray, Richard M. (2008): Feedback Systems. An Introduction for Scientists and Engineers. Princeton: Princeton University Press.Google Scholar
  3. Burchell, Kevin/Rettie, Ruth/Roberts, Tom C. (2016): Householder Engagement with Energy Consumption Feedback. The Role of Community Action and Communications. In: Energy Policy 88. 178-186.Google Scholar
  4. Buchanan, Kathryn/Russo, Riccardo/Anderson, Ben (2014): Feeding Back about Eco-Feedback. How do Consumers Use and Respond to Energy Monitors? In: Energy Policy 73. 138-146.Google Scholar
  5. Burgess, Jacquelin/Nye, Michael (2008): Re-Materialising Energy Use through Transparent Monitoring Systems. In: Energy Policy 36. 12. 4454-4459.Google Scholar
  6. Carroll, James/Lyons, Sean/Denny, Eleanor (2014): Reducing Household Electricity Demand Through Smart Metering. The Role of Improved Information about Energy Saving. In: Energy Economics 45. 234-243.Google Scholar
  7. Chen, Victor L./Delmas, Magali A./Kaiser, William J./Locke, Stephen L. (2015): What can we Learn from High-Frequency Appliance-Level Energy Metering? Results from a Field Experiment. In: Energy Policy 77. 164-175.Google Scholar
  8. Chiang, Teresa/Mevlevioglu, Gokhan/Natarajan, Sukumar/Padget, Julian/Walker, Ian (2013): Inducing [Sub] Conscious Energy Behaviour through Visually Displayed Energy Information. A Case Study in University Accommodation. In: Energy and Buildings 70. 507-515.Google Scholar
  9. Darby, Sarah (2010): Smart Metering. What Potential for Householder Engagement? In: Building Research & Information 38. 5. 442-457.Google Scholar
  10. DECC (2013): Quantitative Research into Public Awareness, Attitudes, and Experience of Smart Meters (Wave3). Department of Energy & Climate Change. https://www.gov.uk/government/publications/quantitative-research-into-public-awareness-attitudes-and-experience-of-smartmeters-wave-3 (Abgerufen am 04.07.2017).
  11. Deutsche Energie Agentur (2013): Die Energiewende – das neue System gestalten. https://shop.dena.de/fileadmin/denashop/media/Downloads_Dateien/allgemein/9066_DENA_Energiewende.pdf (Abgerufen am 04.07.2017).
  12. D’Oca, Simona/Corgnati, Stefano P./Buso, Tiziana (2014): Smart Meters and Energy Savings in Italy. Determining the Effectiveness of Persuasive Communication in Dwellings. In: Energy Research & Social Science 3. 131-142.Google Scholar
  13. Energy Design Update (2010): Study Determines In-home Feedback Devices Can Help Reduce Energy Use. In: Energy Design Update 30. 9. 6-8.Google Scholar
  14. Fettke, Peter (2006): State-of-the-Art des State-of-the-Art. In: Wirtschaftsinformatik 48. 4. 257-266.Google Scholar
  15. Fischer, Corinna (2008): Feedback on Household Electricity Consumption. A Tool for Saving Energy? In: Energy Efficiency 1. 1. 79-104.Google Scholar
  16. Gans, Will/Alberini, Anna/Longo, Alberto (2013): Smart Meter Devices and the Effect of Feedback on Residential Electricity Consumption. Evidence from a Natural Experiment in Northern Ireland. In: Energy Economics 36. 729-743.Google Scholar
  17. Gardner, Gerald T./Stern, Paul C. (1996): Environmental Problems and Human Behavior. Boston, Mass., London: Allyn & Bacon.Google Scholar
  18. Giacomin, Joseph/Bertola, Dario (2012): Human Emotional Response to Energy Visualisations. In: International Journal of Industrial Ergonomics 42. 6. 542-552.Google Scholar
  19. Gluchowski, Peter/Gabriel, Roland/Dittmar, Carsten (2008): Management-Support-Systeme und Business Intelligence. Computergestützte Informationssysteme für Fach- und Führungskräfte. 2. Auflage. Berlin, Heidelberg: Springer.Google Scholar
  20. Guerassimoff, Gilles/Thomas, Johann (2015): Enhancing Energy Efficiency and Technical and Marketing Tools to Change People’s Habits in the Long-Term. In: Energy and Buildings 104. 14-24.Google Scholar
  21. Goldsmith, Marshall (2012): Want to Give Feedback? Rather Try Feedforward! http://faculty.medicine.umich.edu/sites/default/files/resources/feedforward.pdf (Abgerufen am 04.07. 2017).
  22. Gölz, Sebastian/Hahnel, Ulf J. J. (2016): What Motivates People to Use Energy Feedback Systems? A Multiple Goal Approach to Predict Long-Term Usage Behaviour in Daily Life. In: Energy Research & Social Science 21. 155-166.Google Scholar
  23. Hargreaves, Tom/Nye, Michael/Burgess, Jacquelin (2010): Making Energy Visible. A Qualitative Field Study of How Householders Interact with Feedback from Smart Energy Monitors. In: Energy Policy 38. 10. 6111-6119.Google Scholar
  24. Hargreaves, Tom/Nye, Michael/Burgess, Jacquelin (2013): Keeping Energy Visible? Exploring how Householders Interact with Feedback from Smart Energy Monitors in the Longer Term. In: Energy Policy 52. 126-134.Google Scholar
  25. Honebein, Peter C./Cammarano, Roy F./Donnelly, Kat A. (2009): Will Smart Meters Ripen or Rot? Five First Principles for Embracing Customers as Co-Creators of Value. In: The Electricity Journal 22. 5. 39-44.Google Scholar
  26. Joachain, Helene/Klopfert, Frederic (2014): Smarter than Metering? Coupling Smart Meters and Complementary Currencies to Reinforce the Motivation of Households for Energy Savings. In: Ecological Economics 105. 89-96.Google Scholar
  27. .Kemper, Hans-Georg/Baars, Henning/Mehanna, Walid (2010): Business Intelligence – Grundlagen und praktische Anwendungen. Wiesbaden: Vieweg+Teubner.Google Scholar
  28. Khosrowpour, Ardalan/Xie, Yimeng/Taylor, John E./Hong, Yili (2016): One Size Does not Fit All. Establishing the Need for Targeted Eco-Feedback. In: Applied Energy 184. 523-530.Google Scholar
  29. Kluger, Avraham N./DeNisi, Angelo (1996): The Effects of Feedback Interventions on Performance. A Historical Review, a Meta-Analysis, and a Preliminary Feedback Intervention Theory. In: Psychological Bulletin 119. 254-284.Google Scholar
  30. Kohlhammer, Jörn/Proff, Dirk U./Wiener, Andreas (2013): Visual Business Analytics (Edition TDWI). Effektiver Zugang zu Daten und Informationen. Heidelberg: Dpunkt.verlag (Edition TDWI).Google Scholar
  31. Kolks, Uwe/Pippert, Alexander/Meyer, Jan (2012): Energie erlebbar machen – mit innovativen Angeboten Kunden gewinnen. In: Servatius/Schneidewind/Rohlfing (Hrsg.): Smart Energy: Wandel zu einem nachhaltigen Energiesystem. Berlin, Heidelberg: Springer. 81-99.Google Scholar
  32. Loock, Claire-Michelle/Staake, Thorsten/Thiesse, Frédéric (2013): Motivating Energy-Efficient Behavior with Green Is. An Investigation of Goal Setting and the Role of Defaults. In: MIS Q 37. 4. 1313-1332.Google Scholar
  33. Mack, Birgit/Tampe-Mai, Karolin (2016): An Action Theory-Based Electricity Saving Web Portal for Households with an Interface to Smart Meters. In: Utilities Policy 42. 51-63.Google Scholar
  34. Nachreiner, Malte/Mack, Birgit/Matthies, Ellen/Tampe-Mai, Karolin (2015): An Analysis of Smart Metering Information Systems. A Psychological Model of Self-Regulated Behavioural Change. In: Energy Research & Social Science 9. 85-97.Google Scholar
  35. Olmos, Luis/Ruester, Sophia/Liong, Siok-Jen/Glachant, Jean-Michel (2011): Energy Efficiency Actions Related to the Rollout of Smart Meters for Small Consumers, Application to the Austrian System. In: Energy 36. 7. 4396-4409.Google Scholar
  36. Oltra, Christian/Boso, Alex/Espluga, Josep/Prades, Ana (2013): A Qualitative Study of Users’ Engagement with Real-Time Feedback from In-House Energy Consumption Displays. In: Energy Policy 61. 788-792.Google Scholar
  37. Podgornik, Ales/Sucic, Boris/Blazic, Bostjan (2016): Effects of Customized Consumption Feedback on Energy Efficient Behaviour in Low-Income Households. In: Journal of Cleaner Production 130. 25-34.Google Scholar
  38. Schleich, Joachim/Klobasa, Marian/Gölz, Sebastian/Brunner, Marc (2013): Effects of Feedback on Residential Electricity Demand-Findings from a Field Trial in Austria. In: Energy Policy 61. 1097-1106.Google Scholar
  39. Schultz, P. Wesley/Estrada, Mica/Schmitt, Joseph/Sokoloski, Rebecca/Silva-Send, Nilmini (2015): Using In-Home Displays to Provide Smart Meter Feedback about Household Electricity Consumption. A Randomized Control Trial Comparing Kilowatts, Cost, and Social Norms. In: Energy 90, Part 1. 351-358.Google Scholar
  40. Servatius, Hans-Gerd/Schneidewind, Uwe/Rohlfing, Dirk (Hrsg.): Smart Energy: Wandel zu einem nachhaltigen Energiesystem. Berlin, Heidelberg: Springer.Google Scholar
  41. Timma, Lelde/Bariss, Uldis/Dandens, Aris/Blumberga, Andra/Blumberga, Dagnija (2016): Framework for the Assessment of Household Electricity Saving by Integrating Behavioural Aspects. In: Energy Procedia 95. 517-521.Google Scholar
  42. van Houwelingen, Jeannet H./van Raaij, W. Fred (1989): The Effect of Goal-Setting and Daily Electronic Feedback on In-Home Energy Use. In: Journal of Consumer Research 16. 1. 98-105.Google Scholar
  43. Vassileva, Iana/Dahlquist, Erik/Wallin, Fredrik/Campillo, Javier (2013): Energy Consumption Feedback Devices’ Impact Evaluation on Domestic Energy Use. In: Applied Energy 106. 314-320.Google Scholar
  44. Weiß (2014): Weiß, Tobias: Potentiale von Business Intelligence für innovative Zusatzdienste mit Daten aus dem Smart Metering, 13. Symposium Energieinnovation, 12.-14.2.2014, Graz/Austria.Google Scholar
  45. Weiß, Tobias/Diesing, Madlen/Krause, Marco. (2015): Die Wirkung von Feedback und Goal Setting auf den Energieverbrauch von Privathaushalten – Eine Meta-Analytische Untersuchung. In: Lecture Notes in Informatics (LNI) – Proceedings, Series of the Gesellschaft für Informatik (GI), Volume P-246. 203-222.Google Scholar

Copyright information

© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2018

Authors and Affiliations

  1. 1.Lehrstuhl für WirtschaftsinformatikTu DresdenDresdenDeutschland

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