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Methods and Applications of Informatics and Information Technology

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Design of a microgrid local energy market on a blockchain-based information system

Benedikt KirpesORCID iD: https://orcid.org/0000-0002-6583-444X / Esther Mengelkamp / Georg Schaal / Christof Weinhardt
Published Online: 2019-09-10 | DOI: https://doi.org/10.1515/itit-2019-0012


In this paper, we propose a model-based system architecture for an interoperable blockchain-based local energy market for prosumers in a residential microgrid setting. Based on the Smart Grid Architecture Model our analysis deduced 21 organizational, informational, technical and blockchain requirements for a local energy market and its underlying information system. These are evaluated in the Landau Microgrid case study. We derive, that a clear value proposition for the key stakeholders, standardization of data exchange and communication, and a suitable physical implementation are the major challenges.

Keywords: Blockchain; Interoperability; Local Energy Market; Microgrid; Peer-to-Peer; Smart Grid Architecture Model; Transactive Energy

ACM CCS: Computer systems organizationPeer-to-peer architecturesHardwareEnergy distributionInformation systems; Software and its engineeringAbstraction, modeling and modularitySoftware and its engineeringInteroperability


  • 1.

    F. Hvelplund, Renewable energy and the need for local energy markets, Energy 31 (13) (2006) 2293–2302.CrossrefGoogle Scholar

  • 2.

    M. Stadler, G. Cardoso, S. Mashayekh, T. Forget, N. DeForest, A. Agarwal, A. Schönbein, Value streams in microgrids: A literature review, Applied Energy 162 (10) (2016) 980–989. doi:.CrossrefWeb of ScienceGoogle Scholar

  • 3.

    T. Bauwens, Explaining the diversity of motivations behind community renewable energy, Energy Policy 93 (2016) 278–290.CrossrefWeb of ScienceGoogle Scholar

  • 4.

    T. Zhang, H. Pota, C.-C. Chu, R. Gadh, Real-time renewable energy incentive system for electric vehicles using prioritization and cryptocurrency, Applied Energy 226 (2018) 582–594.CrossrefWeb of ScienceGoogle Scholar

  • 5.

    W. Kamrat, Modeling the structure of local energy markets, IEEE Computer Applications in Power 14 (2) (2001) 30–35.CrossrefGoogle Scholar

  • 6.

    F. Teotia, R. Bhakar, Local energy markets: Concept, design and operation, Power Systems Conference (NPSC), National (2016).

  • 7.

    E. Mengelkamp, J. Gärttner, K. Rock, S. Kessler, L. Orsini, C. Weinhardt, Designing microgrid energy markets: A case study: The Brooklyn Microgrid, Applied Energy 210 (2018) 870–880.Web of ScienceCrossrefGoogle Scholar

  • 8.

    CEN-CENELEC-ETSI Smart Grid Coordination Group, Smart Grid Reference Architecture, Tech. Rep. November (2012).

  • 9.

    S. Nakamoto, Bitcoin: A peer-to-peer electronic cash system (2008).

  • 10.

    J. J. Sikorski, J. Haughton, M. Kraft, Blockchain technology in the chemical industry: Machine-to-machine electricity market, Applied Energy 195 (2017) 234–246. doi:.CrossrefWeb of ScienceGoogle Scholar

  • 11.

    N. Z. Aitzhan, D. Svetinovic, Security and privacy in decentralized energy trading through multi-signatures, blockchain and anonymous messaging streams, IEEE Transactions on Dependable and Secure Computing (2016).Web of ScienceGoogle Scholar

  • 12.

    S. Apte, N. Petrovsky, Will blockchain technology revolutionize excipient supply chain management? Journal of Excipients and Food Chemicals 7 (3) (2016).Google Scholar

  • 13.

    F. Tschorsch, B. Scheuermann, Bitcoin and beyond: A technical survey on decentralized digital currencies, IEEE Communications Surveys and Tutorials 18 (3) (2016) 2084–2123. doi:.CrossrefWeb of ScienceGoogle Scholar

  • 14.

    V. Buterin, White Paper – A Next-Generation Smart Contract and Decentralized Application Platform (2014).

  • 15.

    X. Xu, C. Pautasso, L. Zhu, V. Gramoli, A. Ponomarev, A. B. Tran, S. Chen, The blockchain as a software connector, in: 13th Working IEEE/IFIP Conference on Software Architecture (WICSA), IEEE (2016), pp. 182–191.Google Scholar

  • 16.

    X. Fang, S. Misra, G. Xue, D. Yang, Smart Grid – The New and Improved Power Grid: A Survey, IEEE Communications Surveys & Tutorials 14 (4) (2012) 944–980. arXiv:1406.0223v1, doi:.CrossrefWeb of ScienceGoogle Scholar

  • 17.

    C. Marnay, S. Chatzivasileiadis, C. Abbey, R. Iravani, G. Joos, P. Lombardi, P. Mancarella, J. Von Appen, Microgrid Evolution Roadmap, in: International Symposium on Smart Electric Distribution Systems and Technologies, EDST (2015) pp. 139–144. doi:.CrossrefGoogle Scholar

  • 18.

    R. H. Lasseter, Smart distribution: Coupled microgrids, Proceedings of the IEEE 99 (6) (2011) 1074–1082.CrossrefWeb of ScienceGoogle Scholar

  • 19.

    D. E. Olivares, A. Mehrizi-Sani, A. H. Etemadi, C. A. Cañizares, R. Iravani, M. Kazerani, A. H. Hajimiragha, O. Gomis-Bellmunt, M. Saeedifard, R. Palma-Behnke, Others, Trends in microgrid control, IEEE Transactions on Smart Grid 5 (4) (2014) 1905–1919.CrossrefGoogle Scholar

  • 20.

    E. Mengelkamp, J. Gärttner, Johannes, C. Weinhardt, Intelligent Agent Strategies for Residential Customers in Local Electricity Markets, in: Proceedings of the Ninth International Conference on Future Energy Systems, pp. 97–107, ACM, (2018).Google Scholar

  • 21.

    E. Mengelkamp, T. Schönland, J. Huber, C. Weinhardt, The value of local electricity – A choice experiment among German residential customers, Energy Policy 130 (2019) 294–303.Web of ScienceCrossrefGoogle Scholar

  • 22.

    P. Staudt, S. Köpke, C. Weinhardt, Market mechanisms for neighbourhood electricity grids: Design and agent-based evaluation, aisel.aisnet.org (2018).Google Scholar

  • 23.

    C. Rosen, R. Madlener, An auction design for local reserve energy markets, Decision Support Systems 56 (2013) 168–179.Web of ScienceCrossrefGoogle Scholar

  • 24.

    C. Block, J. Collins, W. Ketter, Exploring retail energy markets through competitive simulation, in: Proceedings of TADA (2010).Google Scholar

  • 25.

    P. Vytelingum, S. D. Ramchurn, T. D. Voice, A. Rogers, N. R. Jennings, Trading agents for the smart electricity grid, in: 9th International Conference on Autonomous Agents and Multiagent Systems (2010), pp. 897–904.Google Scholar

  • 26.

    C. Metelitsa, Blockchain for Energy 2018: Companies & Applications for Distributed Ledger Technologies on the Grid, Tech. rep., GreenTechMedia (2018).

  • 27.

    A. Goranovic, M. Meisel, L. Fotiadis, S. Wilker, A. Treytl, T. Sauter, Blockchain applications in microgrids an overview of current projects and concepts, in: 43rd Annual Conference of the IEEE Industrial Electronics Society, IEEE (2017), pp. 6153–6158. doi:.CrossrefGoogle Scholar

  • 28.

    E. R. Sanseverino, M. L. D. Silvestre, P. Gallo, G. Zizzo, M. Ippolito, The Blockchain in Microgrids for Transacting Energy and Attributing Losses, in: IEEE International Conference on Internet of Things (iThings) (2017), pp. 925–930. doi:.CrossrefGoogle Scholar

  • 29.

    F. Lombardi, L. Aniello, S. De Angelis, A. Margheri, V. Sassone, A Blockchain-based Infrastructure for Reliable and Cost-effective IoT-aided Smart Grids, in: Living in the Internet of Things Conference: Cybersecurity of the IoT, London (2018), pp. 1–6.Google Scholar

  • 30.

    M. Sabounchi, J. Wei, Towards resilient networked microgrids: Blockchain-enabled peer-to-peer electricity trading mechanism, in: 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2) (2017), pp. 1–5, doi:.CrossrefGoogle Scholar

  • 31.

    E. Munsing, J. Mather, S. Moura, Blockchains for Decentralized Optimization of Energy Resources in Microgrid Networks, in: 2017 IEEE Conference on Control Technology and Applications (CCTA) (2017), pp. 1–8. doi:.CrossrefGoogle Scholar

  • 32.

    A. Hahn, R. Singh, C. C. Liu, S. Chen, Smart contract-based campus demonstration of decentralized transactive energy auctions, in: 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT (2017). doi:.CrossrefGoogle Scholar

  • 33.

    J. Wang, Q. Wang, N. Zhou, Y. Chi, A Novel Electricity Transaction Mode of Microgrids Based on Blockchain and Continuous Double Auction, Energies 10 (12) (2017) 1971. doi:.CrossrefWeb of ScienceGoogle Scholar

  • 34.

    GWAC, GridWise Transactive Energy Framework Version 1.0, Tech. rep., GridWise Architecture Council on Transactive Energy (2015).

  • 35.

    CEN-CENELEC-ETSI Smart Grid Coordination Group, Smart Grid Interoperability, Tech. rep. (2014).

  • 36.

    P. Grover, A. Kumar, P. Ilavarasan, Blockchain for business: A systematic literature review, in: Conference on e-Business, e-Services and e-Society (2018). Springer, Cham, pp. 325–336.Google Scholar

  • 37.

    C. Neureiter, M. Uslar, D. Engel, G. Lastro, A standards-based approach for domain specific modelling of smart grid system architectures, in: 11th Systems of Systems Engineering Conference (SoSE) (2016). doi:.CrossrefGoogle Scholar

  • 38.

    C. Dänekas, C. Neureiter, S. Rohjans, M. Uslar, D. Engel, Towards a model-driven-architecture process for smart grid projects, in: Digital enterprise design & management (2014), pp. 47–58. doi:.CrossrefGoogle Scholar

  • 39.

    M. Gottschalk, M. Uslar, C. Delfs, The Use Case and Smart Grid Architecture Model Approach – The IEC 62559-2 Use Case Template and the SGAM Applied Various Domains, Springer (2017). doi:.CrossrefGoogle Scholar

  • 40.

    ENTSO-E, The Harmonised Electricity Market Role Model, Tech. rep. (2017).

  • 41.

    CEN-CENELEC-ETSI Coordination Group on Smart Energy Grids (CG-SEG), Smart Grid Set of Standards Version 4.1, Tech. rep. (2017).

  • 42.

    GWAC, GridWise Interoperability Context-Setting Framework, Tech. rep., GridWise Architecture Council on Transactive Energy (2008).

  • 43.

    E. Mengelkamp, J. Gärttner, C. Weinhardt, Decentralizing energy systems through local energy markets: The lamp-project, in: Multikonferenz Wirtschaftsinformatik (2018).Google Scholar

  • 44.

    E. Mengelkamp, S. Bose, E. Kremers, J. Eberbach, B. Hoffmann, C. Weinhardt, Increasing the efficiency of local energy markets through residential demand response, Energy Informatics 1 (1), 11 (2018).CrossrefGoogle Scholar

  • 45.

    J. de Hoog, D. A. Thomas, V. Muenzel, D. C. Jayasuriya, Electric Vehicle Charging and Grid Constraints: Comparing distributed and Centralized Approaches (2013).

  • 46.

    F. Gao, L. Zhu, M. Shen, K. Sharif, Z. Wan, K. Ren, A blockchain-based privacy-preserving payment mechanism for vehicle-to-grid networks. IEEE Network, (99), 1–9 (2018).Web of ScienceGoogle Scholar

About the article

Benedikt Kirpes

Benedikt Kirpes studied Information Systems and Business Informatics at the Universities of Münster and Mannheim. He is currently member of the scientific staff of the Chair of Information Systems II at the Business School of the University of Mannheim where he is conducting his doctoral research and head of research of the Share&Charge Foundation. Mr. Kirpes’ main research focus is in the areas of electromobility, transactive energy, system architecture and applications of blockchain technology.

Esther Mengelkamp

Esther Mengelkamp studied Industrial Engineering with a focus on Operations Management and Electrical Engineering at the Technical University of Dresden. She completed her studies in 2016 and was awarded the Lohrmann medal as the best of her year. She was a member of the scientific staff of Prof. Dr. Christof Weinhardt at the Institute of Information Systems and Marketing 2016–2019 and received her PhD in the context of local electricity markets with honors. During this time, she was the project leader of the LAMP project from 2017–2019. She is currently a project leader for smart neighborhood and smart city projects at EnBW AG.

Georg Schaal

Georg Schaal studied Business Informatics with a focus on integrated information systems at the University of Mannheim. He completed his studies in 2017 and works as a management consultant focusing on IT-strategy and digital transformations across various sectors.

Christof Weinhardt

Prof. Dr. Christof Weinhardt is director of the Institute for Information Systems and Marketing (IISM) at the Karlsruhe Institute of Technology (KIT). He is also a director and founder of the Karlsruhe Service Research Institute and director of the Research Center of Information Technology. Since the beginning of 2019, he is Editor-in-Chief for the Journal Business & Information Systems Engineering (BISE). He received his Ph. D. in economics from the University of Karlsruhe in 1989. With his academic background in industrial engineering, economics, and information systems, Prof. Weinhardt has a research focus on interdisciplinary topics related to market engineering with applications in IT services, energy, finance, and telecommunications markets. He has published more than 150 articles and books and has received a number of awards for his research and teaching.

Received: 2019-04-13

Revised: 2019-07-14

Accepted: 2019-08-16

Published Online: 2019-09-10

Funding Source: Horizon 2020 Framework Programme

Award identifier / Grant number: 713864

This research was partly funded by the European Union Horizon 2020 research and innovation programme under grant agreement No. 713864 (Project ELECTRIFIC).

Citation Information: it - Information Technology, ISSN (Online) 2196-7032, ISSN (Print) 1611-2776, DOI: https://doi.org/10.1515/itit-2019-0012.

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