IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i14p5076-d860899.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/14/5076/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/14/5076/
    Download Restriction: no
    ---><---

    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. 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).
    16. 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.
    17. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Silvestri, Luca & De Santis, Michele, 2024. "Renewable-based load shifting system for demand response to enhance energy-economic-environmental performance of industrial enterprises," Applied Energy, Elsevier, vol. 358(C).
    2. Cai, Qiran & Xu, Qingyang & Qing, Jing & Shi, Gang & Liang, Qiao-Mei, 2022. "Promoting wind and photovoltaics renewable energy integration through demand response: Dynamic pricing mechanism design and economic analysis for smart residential communities," Energy, Elsevier, vol. 261(PB).
    3. Marina Bertolini & Gregorio Morosinotto, 2023. "Business Models for Energy Community in the Aggregator Perspective: State of the Art and Research Gaps," Energies, MDPI, vol. 16(11), pages 1-26, June.
    4. Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    5. Guntram Pressmair & Christof Amann & Klemens Leutgöb, 2021. "Business Models for Demand Response: Exploring the Economic Limits for Small- and Medium-Sized Prosumers," Energies, MDPI, vol. 14(21), pages 1-28, October.
    6. Afentoulis, Konstantinos D. & Bampos, Zafeirios N. & Vagropoulos, Stylianos I. & Keranidis, Stratos D. & Biskas, Pantelis N., 2022. "Smart charging business model framework for electric vehicle aggregators," Applied Energy, Elsevier, vol. 328(C).
    7. Morales-España, Germán & Martínez-Gordón, Rafael & Sijm, Jos, 2022. "Classifying and modelling demand response in power systems," Energy, Elsevier, vol. 242(C).
    8. Faissal Jelti & Amine Allouhi & Mahmut Sami Büker & Rachid Saadani & Abdelmajid Jamil, 2021. "Renewable Power Generation: A Supply Chain Perspective," Sustainability, MDPI, vol. 13(3), pages 1-22, January.
    9. Jura Jurčević & Ivan Pavić & Nikolina Čović & Denis Dolinar & Davor Zoričić, 2022. "Estimation of Internal Rate of Return for Battery Storage Systems with Parallel Revenue Streams: Cycle-Cost vs. Multi-Objective Optimisation Approach," Energies, MDPI, vol. 15(16), pages 1-17, August.
    10. McPherson, Madeleine & Stoll, Brady, 2020. "Demand response for variable renewable energy integration: A proposed approach and its impacts," Energy, Elsevier, vol. 197(C).
    11. Fabietti, Luca & Qureshi, Faran A. & Gorecki, Tomasz T. & Salzmann, Christophe & Jones, Colin N., 2018. "Multi-time scale coordination of complementary resources for the provision of ancillary services," Applied Energy, Elsevier, vol. 229(C), pages 1164-1180.
    12. Capellán-Pérez, Iñigo & Campos-Celador, Álvaro & Terés-Zubiaga, Jon, 2018. "Renewable Energy Cooperatives as an instrument towards the energy transition in Spain," Energy Policy, Elsevier, vol. 123(C), pages 215-229.
    13. Nallapaneni Manoj Kumar & Aneesh A. Chand & Maria Malvoni & Kushal A. Prasad & Kabir A. Mamun & F.R. Islam & Shauhrat S. Chopra, 2020. "Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-42, November.
    14. Park, Sung-Won & Zhang, Zhong & Li, Furong & Son, Sung-Yong, 2021. "Peer-to-peer trading-based efficient flexibility securing mechanism to support distribution system stability," Applied Energy, Elsevier, vol. 285(C).
    15. Nitsch, Felix & Deissenroth-Uhrig, Marc & Schimeczek, Christoph & Bertsch, Valentin, 2021. "Economic evaluation of battery storage systems bidding on day-ahead and automatic frequency restoration reserves markets," Applied Energy, Elsevier, vol. 298(C).
    16. Y, Kiguchi & Y, Heo & M, Weeks & R, Choudhary, 2019. "Predicting intra-day load profiles under time-of-use tariffs using smart meter data," Energy, Elsevier, vol. 173(C), pages 959-970.
    17. Büttgen, Marion & al.,, 2021. "Blockchain in Service Management and Service Research - Developing a Research Agenda and Managerial Implications," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 5(2), pages 71-102.
    18. Xu, Xiaojing & Chen, Chien-fei & Zhu, Xiaojuan & Hu, Qinran, 2018. "Promoting acceptance of direct load control programs in the United States: Financial incentive versus control option," Energy, Elsevier, vol. 147(C), pages 1278-1287.
    19. Saima Akhtar & Sulman Shahzad & Asad Zaheer & Hafiz Sami Ullah & Heybet Kilic & Radomir Gono & Michał Jasiński & Zbigniew Leonowicz, 2023. "Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead," Energies, MDPI, vol. 16(10), pages 1-29, May.
    20. Teresa Eugénio & Sónia Gomes & Manuel Castelo Branco & Ana Isabel Morais, 2022. "Non-Financial Reporting and Assurance: A New Opportunity for Auditors? Evidence from Portugal," Sustainability, MDPI, vol. 14(20), pages 1-15, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5076-:d:860899. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.