Abstract
The notions of Collaborative Virtual Power Plant Ecosystem (CVPP-E) and Cognitive Household Digital Twin (CHDT) have been proposed to contribute to the efficient organization and management of households within Renewable Energy Communities (RECs). Both ideas can be represented by digital twins, which complement each other. CHDTs can be modelled as software agents, designed to possess some cognitive capabilities which could enable them to make autonomous decisions, based on the preferences or value system of their owner. Due to their cognitive and decision-making capabilities, these agents could exhibit some behavioural attributes such as engaging in collaborations, mutually influencing one another and the ability to adopt some form of social innovation. These behavioural attributes are expected to promote collaboration which are envisioned to increase the survivability and sustainability of the CVPP-E. This study therefore seeks to demonstrate the capability of CHDTs to mutually influence one another towards a common goal - thus promote sustainable energy consumption. We adopted a multi-method simulation technique that involves the integration of multiple simulation paradigms such as System Dynamics, Agent-Based, and Discrete Event simulation techniques on a single simulation platform. The outcome of the study shows that mutual influence could enhance the sustainable consumption in the ecosystem.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Aversa, P., Donatelli, A., Piccoli, G., Luprano, V.A.M.: Improved thermal transmittance measurement with HFM technique on building envelopes in the mediterranean area. Sel. Sci. Pap. J. Civ. Eng. 11(2), 39–52 (2016)
IDEA: Analyses of the energy consumption of the household sector in Spain (2011). www.cros-portal.eu/sites/default/files/SECH_Spain.pdf%5Cn
Adu-Kankam, K.O., Camarinha-Matos, L.M.: Towards collaborative virtual power plants: trends and convergence. Sustain. Energy, Grids Networks Segan.2018, 217–230 (2018). https://doi.org/10.1016/j.segan.2018
Adu-Kankam, K., Camarinha-Matos, L.: Towards collaborative virtual power plants. In: Camarinha-Matos, L.M., Adu-Kankam, K.O., Julashokri, M. (eds.) DoCEIS. IAICT, vol. 521, pp. 28–39. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-78574-5_3
Adu-Kankam, K., Camarinha-Matos, L.: Towards a hybrid model for the diffusion of innovation in energy communities. In: Camarinha-Matos, L.M., Ferreira, P., Brito, G. (eds.) DoCEIS. IAICT, vol. 626, pp. 175–188. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-78288-7_17
Shevtshenko, E., Mahmood, K., Karaulova, T., Raji, I.O.: Multitier digital twin approach for agile supply chain management. In: Proceedings of the ASME International Mechanical Engineering Congress and Exposition, vol. 2B-2020, no. April 2021, pp. 0–11 (2020)
Raji, I.O., Shevtshenko, E., Rossi, T., Strozzi, F.: Modelling the relationship of digital technologies with lean and agile strategies. Supply Chain Forum 22(4), 323–346 (2021)
Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative networks: a new scientific discipline. J. Intell. Manuf. 16(4–5), 439–452 (2005)
Rouzbahani, H.M., Karimipour, H., Lei, L.: A review on virtual power plant for energy management. Sustain. Energy Technol. Assessments 47, 101370 (2021)
Ferrada, F., Camarinha-Matos, L.M.: A modelling framework for collaborative network emotions. Enterp. Inf. Syst. 13(7–8), 1164–1194 (2019)
Graça, P., Camarinha-Matos, L., Ferrada, F.: A Model to assess collaboration performance in a collaborative business ecosystem. In: Camarinha-Matos, L.M., Almeida, R., Oliveira, J. (eds.) DoCEIS. IAICT, vol. 553, pp. 3–13. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-17771-3_1
Adu-Kankam, K.O., Camarinha-Matos, L.M.: Emerging community energy ecosystems: analysis of organizational and governance structures of selected representative cases. In: Camarinha-Matos, L.M., Almeida, R., Oliveira, J. (eds.) DoCEIS. IAICT, vol. 553, pp. 24–40. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-17771-3_3
The European Parliament and the Council of the European Union, “Directive (EU) 2018/2001 of the European Parliament and of the Council on the promotion of the use of energy from renewable sources. Official Journal of the European Union (2018). https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32018L2001&from=fr. Accessed 07 Mar 2022
Zimmermann, J.-P., et al.: Household Electricity Survey: A study of domestic electrical product usage. Intertek Report R66141 (2012). https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/208097/10043_R66141HouseholdElectricitySurveyFinalReportissue4.pdf. Accessed 18 Feb 2022
“PVOutput.” https://pvoutput.org/. Accessed 08 Oct 2021
Wattage & Power Consumption of Typical Household Appliances - 106 Appliances in All - Lets Save Electricity. https://letsavelectricity.com/wattage-power-consumption-of-household-appliances/. Accessed 12 Mar 2021
Mahdavi, A.: The Art of Process-Centric Modeling (2020). https://www.anylogic.com/resources/books/the-art-of-process-centric-modeling-with-anylogic/
Chen, W., Lakshmanan, L.V.S., Castillo, C.: Information and Influence Propagation in Social Networks. In: Özsu, M.T. (ed.) Synthesis Lectures on Data Management, vol. 5, no. 4, pp. 1–177. Morgan & Claypool Publishers series (2013)
Hugo, O., Garnsey, E.: “The emergence of electronic messaging and the growth of four entrepreneurial entrants. New Technol. Based Firms New Millenium 2, 97–123 (2002)
Acknowledgment
We acknowledge project CESME (Collaborative & Evolvable Smart Manufacturing Ecosystem and the Portuguese FCT program UIDB/00066/2020 for providing partial financial support for this work.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 IFIP International Federation for Information Processing
About this paper
Cite this paper
Adu-Kankam, K.O., Camarinha-Matos, L.M. (2022). Modelling Mutual Influence Towards Sustainable Energy Consumption. In: Camarinha-Matos, L.M. (eds) Technological Innovation for Digitalization and Virtualization. DoCEIS 2022. IFIP Advances in Information and Communication Technology, vol 649. Springer, Cham. https://doi.org/10.1007/978-3-031-07520-9_1
Download citation
DOI: https://doi.org/10.1007/978-3-031-07520-9_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-07519-3
Online ISBN: 978-3-031-07520-9
eBook Packages: Computer ScienceComputer Science (R0)