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Integrated Risk Analysis of Aggregators: Policy Implications for the Development of the Competitive Aggregator Industry

Author

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  • Davor Zoričić

    (Faculty of Economics and Business, University of Zagreb, Trg J. F. Kennedy 6, 10000 Zagreb, Croatia)

  • Goran Knežević

    (Faculty of Electrical Engineering, Computer Science and Information Technology, Josip Juraj Strossmayer University of Osijek, Kneza Trpimira 2B, 31000 Osijek, Croatia)

  • Marija Miletić

    (Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia)

  • Denis Dolinar

    (Faculty of Economics and Business, University of Zagreb, Trg J. F. Kennedy 6, 10000 Zagreb, Croatia)

  • Danijela Miloš Sprčić

    (Faculty of Economics and Business, University of Zagreb, Trg J. F. Kennedy 6, 10000 Zagreb, Croatia)

Abstract

One of the important goals of the EU is to ensure a secure, sustainable, and competitive energy system that is less dependent on external energy supply. Greater independence is planned to be achieved by diversifying energy sources, as well as investing in renewables and energy efficiency. One of the mechanisms is the demand response (DR) that provides a high level of energy independence for the consumer. In this paper, we explore perspectives of the development of DR with a mediating effect of the independent aggregators from an EU member state standpoint. We use a hybrid research methodology that combines instruments of strategic analysis, i.e., PESTLE framework and SWOT analysis, along with the integrated risk management framework in order to identify, evaluate and rank prominent risks to which this initiative is exposed. Interdependencies between the identified risk factors are also included and efficient mitigation measures are proposed. The findings of this exploratory research are aimed at developing the policies and strategies for the aggregators’ development in the medium term. The most emphasized risks detected in analysis are the investment risk, the legal risk, the risk of substitute technologies, the consumer behavior risk, the risk of opportunistic behavior and the risk of entry barriers.

Suggested Citation

  • Davor Zoričić & Goran Knežević & Marija Miletić & Denis Dolinar & Danijela Miloš Sprčić, 2022. "Integrated Risk Analysis of Aggregators: Policy Implications for the Development of the Competitive Aggregator Industry," Energies, MDPI, vol. 15(14), pages 1-22, July.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5076-:d:860899
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    References listed on IDEAS

    as
    1. Ahi, Payman & Searcy, Cory & Jaber, Mohamad Y., 2018. "A Quantitative Approach for Assessing Sustainability Performance of Corporations," Ecological Economics, Elsevier, vol. 152(C), pages 336-346.
    2. Gils, Hans Christian, 2014. "Assessment of the theoretical demand response potential in Europe," Energy, Elsevier, vol. 67(C), pages 1-18.
    3. Hervé Stolowy & Luc Paugam, 2018. "The expansion of non-financial reporting: an exploratory study," Accounting and Business Research, Taylor & Francis Journals, vol. 48(5), pages 525-548, July.
    4. Miklós Gyalai-Korpos & László Zentkó & Csaba Hegyfalvi & Gergely Detzky & Péter Tildy & Nóra Hegedűsné Baranyai & Gábor Pintér & Henrik Zsiborács, 2020. "The Role of Electricity Balancing and Storage: Developing Input Parameters for the European Calculator for Concept Modeling," Sustainability, MDPI, vol. 12(3), pages 1-26, January.
    5. Braeuer, Fritz & Rominger, Julian & McKenna, Russell & Fichtner, Wolf, 2019. "Battery storage systems: An economic model-based analysis of parallel revenue streams and general implications for industry," Applied Energy, Elsevier, vol. 239(C), pages 1424-1440.
    6. Lu, Xiaoxing & Li, Kangping & Xu, Hanchen & Wang, Fei & Zhou, Zhenyu & Zhang, Yagang, 2020. "Fundamentals and business model for resource aggregator of demand response in electricity markets," Energy, Elsevier, vol. 204(C).
    7. Michael Short & Sergio Rodriguez & Richard Charlesworth & Tracey Crosbie & Nashwan Dawood, 2019. "Optimal Dispatch of Aggregated HVAC Units for Demand Response: An Industry 4.0 Approach," Energies, MDPI, vol. 12(22), pages 1-20, November.
    8. Mlecnik, Erwin & Parker, James & Ma, Zheng & Corchero, Cristina & Knotzer, Armin & Pernetti, Roberta, 2020. "Policy challenges for the development of energy flexibility services," Energy Policy, Elsevier, vol. 137(C).
    9. Josue Campos do Prado & Wei Qiao & Liyan Qu & Julio Romero Agüero, 2019. "The Next-Generation Retail Electricity Market in the Context of Distributed Energy Resources: Vision and Integrating Framework," Energies, MDPI, vol. 12(3), pages 1-24, February.
    10. Romero Rodríguez, Laura & Brennenstuhl, Marcus & Yadack, Malcolm & Boch, Pirmin & Eicker, Ursula, 2019. "Heuristic optimization of clusters of heat pumps: A simulation and case study of residential frequency reserve," Applied Energy, Elsevier, vol. 233, pages 943-958.
    11. Eunice Espe & Vidyasagar Potdar & Elizabeth Chang, 2018. "Prosumer Communities and Relationships in Smart Grids: A Literature Review, Evolution and Future Directions," Energies, MDPI, vol. 11(10), pages 1-24, September.
    12. Jabier Martinez & Alejandra Ruiz & Javier Puelles & Ibon Arechalde & Yuliya Miadzvetskaya, 2020. "Smart Grid Challenges Through the Lens of the European General Data Protection Regulation," Lecture Notes in Information Systems and Organization, in: Alena Siarheyeva & Chris Barry & Michael Lang & Henry Linger & Christoph Schneider (ed.), Advances in Information Systems Development, pages 113-130, Springer.
    13. Zheng Ma & Alla Asmussen & Bo Nørregaard Jørgensen, 2018. "Industrial Consumers’ Smart Grid Adoption: Influential Factors and Participation Phases," Energies, MDPI, vol. 11(1), pages 1-20, January.
    14. Tavana, Madjid & Pirdashti, Mohsen & Kennedy, Dennis T. & Belaud, Jean-Pierre & Behzadian, Majid, 2012. "A hybrid Delphi-SWOT paradigm for oil and gas pipeline strategic planning in Caspian Sea basin," Energy Policy, Elsevier, vol. 40(C), pages 345-360.
    15. Engelken, Maximilian & Römer, Benedikt & Drescher, Marcus & Welpe, Isabell M. & Picot, Arnold, 2016. "Comparing drivers, barriers, and opportunities of business models for renewable energies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 795-809.
    16. Okur, Özge & Heijnen, Petra & Lukszo, Zofia, 2021. "Aggregator’s business models in residential and service sectors: A review of operational and financial aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    17. Kody T. Ponds & Ali Arefi & Ali Sayigh & Gerard Ledwich, 2018. "Aggregator of Demand Response for Renewable Integration and Customer Engagement: Strengths, Weaknesses, Opportunities, and Threats," Energies, MDPI, vol. 11(9), pages 1-20, September.
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    1. Maja Božičević Vrhovčak & Bruno Malbašić, 2023. "Unlocking the Value of Aggregated Demand Response: A Survey of European Electricity Markets," Energies, MDPI, vol. 16(17), pages 1-13, September.

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