IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2018-03-2.html
   My bibliography  Save this article

Development of Active Consumer Concept on Energy Market

Author

Listed:
  • Irina A. Firsova

    (Department of Corporate Finance and Corporate Governance, Financial University under the Government of the Russian Federation, Moscow, Russia,)

  • Dinara G. Vasbieva

    (Department of Foreign Languages, Financial University under the Government of the Russian Federation, Moscow, Russia,)

  • Andrey V. Losyakov

    (Department of State Legal and Criminal Law Disciplines, Plekhanov Russian University of Economics, Moscow, Russia)

  • Viktoriia S. Arhipova

    (Department of Municipal Law, Peoples Friendship University of Russia (RUDN University), Moscow, Russia)

  • Andrey A. Pavlushin

    (Department Agro Technologies, Machines and Life Safety, Ulyanovsk State Agrarian University named after P.A. Stolypin, Ulyanovsk, Russia.)

Abstract

The paper investigates a new approach to interaction of all participants on the energy market. An active consumer, as a participant of the energy market, has technical capabilities for optimization of their energy consumption, and determines whether "to produce" or "to buy" electrical energy on the market by themselves. The active consumer s profile reflects their ability to optimize the electrical energy consumption schedule to improve the economic efficiency of consumption and reduce the cost of the electrical energy consumed. In the concept proposed in this paper, the active consumer is considered as a partner of the energy market entities. This brings about a change in the market regulators and participants behavior and their transition from the concept of cost management to the concept of interaction with consumers, involving them in the value chain. A significant difference in the cost of electrical energy for domestic and foreign industrial companies, due to the development of new technologies in the energy sector, leads to a change in the participants behavior. Within the framework of the active consumer concept, we propose a process model for the participants' behavior in the energy market, which presents the economic benefits to all participants during a particular period of time.

Suggested Citation

  • Irina A. Firsova & Dinara G. Vasbieva & Andrey V. Losyakov & Viktoriia S. Arhipova & Andrey A. Pavlushin, 2018. "Development of Active Consumer Concept on Energy Market," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 8-13.
    • Handle: RePEc:eco:journ2:2018-03-2
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/6433/3671
    Download Restriction: no
    File URL: https://www.econjournals.com/index.php/ijeep/article/view/6433/3671
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lujano-Rojas, Juan M. & Monteiro, Cláudio & Dufo-López, Rodolfo & Bernal-Agustín, José L., 2012. "Optimum residential load management strategy for real time pricing (RTP) demand response programs," Energy Policy, Elsevier, vol. 45(C), pages 671-679.
    2. Faria, P. & Vale, Z., 2011. "Demand response in electrical energy supply: An optimal real time pricing approach," Energy, Elsevier, vol. 36(8), pages 5374-5384.
    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. Olga V. Borisova & Olga A. Kalugina & Nikolay N. Kosarenko & Aleksandr V. Grinenko & Izida I. Ishmuradova, 2019. "Assessing the Financial Stability of Electric Power Organizations," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 66-76.
    2. Irina Firsova & Dinara Vasbieva & Alexey I. Prokopyev & Evgeniy S. Zykin & Valentin V. Matvienko, 2018. "Development of Consumers' Behavior Business Model on Energy Market," International Journal of Energy Economics and Policy, Econjournals, vol. 8(4), pages 227-233.
    3. Irina A. Firsova & Dinara G. Vasbieva & Aleksandr V. Litvinov & Oxana E. Chernova & Irina V. Telezhko, 2019. "Trends in the Development of the Global Energy Market," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 59-65.

    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. Boßmann, Tobias & Eser, Eike Johannes, 2016. "Model-based assessment of demand-response measures—A comprehensive literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1637-1656.
    2. Cortés-Arcos, Tomás & Bernal-Agustín, José L. & Dufo-López, Rodolfo & Lujano-Rojas, Juan M. & Contreras, Javier, 2017. "Multi-objective demand response to real-time prices (RTP) using a task scheduling methodology," Energy, Elsevier, vol. 138(C), pages 19-31.
    3. Ming, Zeng & Song, Xue & Mingjuan, Ma & Lingyun, Li & Min, Cheng & Yuejin, Wang, 2013. "Historical review of demand side management in China: Management content, operation mode, results assessment and relative incentives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 470-482.
    4. Chen, Yang & Hu, Mengqi & Zhou, Zhi, 2017. "A data-driven analytical approach to enable optimal emerging technologies integration in the co-optimized electricity and ancillary service markets," Energy, Elsevier, vol. 122(C), pages 613-626.
    5. Zhang, Qi & Mclellan, Benjamin C. & Tezuka, Tetsuo & Ishihara, Keiichi N., 2013. "A methodology for economic and environmental analysis of electric vehicles with different operational conditions," Energy, Elsevier, vol. 61(C), pages 118-127.
    6. Dong, Jun & Xue, Guiyuan & Li, Rong, 2016. "Demand response in China: Regulations, pilot projects and recommendations – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 13-27.
    7. Meyabadi, A. Fattahi & Deihimi, M.H., 2017. "A review of demand-side management: Reconsidering theoretical framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 367-379.
    8. Sun, Zeyi & Li, Lin & Bego, Andres & Dababneh, Fadwa, 2015. "Customer-side electricity load management for sustainable manufacturing systems utilizing combined heat and power generation system," International Journal of Production Economics, Elsevier, vol. 165(C), pages 112-119.
    9. Li, Xiao Hui & Hong, Seung Ho, 2014. "User-expected price-based demand response algorithm for a home-to-grid system," Energy, Elsevier, vol. 64(C), pages 437-449.
    10. Chou, Jui-Sheng & Tran, Duc-Son, 2018. "Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders," Energy, Elsevier, vol. 165(PB), pages 709-726.
    11. Dehnavi, Ehsan & Abdi, Hamdi, 2016. "Optimal pricing in time of use demand response by integrating with dynamic economic dispatch problem," Energy, Elsevier, vol. 109(C), pages 1086-1094.
    12. Juliano Camargo & Fred Spiessens & Chris Hermans, 2018. "A Network Flow Model for Price-Responsive Control of Deferrable Load Profiles," Energies, MDPI, vol. 11(3), pages 1-17, March.
    13. Pedro Faria & Zita Vale & José Baptista, 2015. "Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation," Energies, MDPI, vol. 8(6), pages 1-17, June.
    14. Adriano A. Santos & Filipe Pereira & António Ferreira da Silva & Nídia Caetano & Carlos Felgueiras & José Machado, 2023. "Electrification of a Remote Rural Farm with Solar Energy—Contribution to the Development of Smart Farming," Energies, MDPI, vol. 16(23), pages 1-17, November.
    15. Zhang, Yunchao & Islam, Md Monirul & Sun, Zeyi & Yang, Sijia & Dagli, Cihan & Xiong, Haoyi, 2018. "Optimal sizing and planning of onsite generation system for manufacturing in Critical Peaking Pricing demand response program," International Journal of Production Economics, Elsevier, vol. 206(C), pages 261-267.
    16. Baratsas, Stefanos G. & Niziolek, Alexander M. & Onel, Onur & Matthews, Logan R. & Floudas, Christodoulos A. & Hallermann, Detlef R. & Sorescu, Sorin M. & Pistikopoulos, Efstratios N., 2022. "A novel quantitative forecasting framework in energy with applications in designing energy-intelligent tax policies," Applied Energy, Elsevier, vol. 305(C).
    17. Ferrari, Lorenzo & Esposito, Fabio & Becciani, Michele & Ferrara, Giovanni & Magnani, Sandro & Andreini, Mirko & Bellissima, Alessandro & Cantù, Matteo & Petretto, Giacomo & Pentolini, Massimo, 2017. "Development of an optimization algorithm for the energy management of an industrial Smart User," Applied Energy, Elsevier, vol. 208(C), pages 1468-1486.
    18. Wang, Yong & Li, Lin, 2015. "Time-of-use electricity pricing for industrial customers: A survey of U.S. utilities," Applied Energy, Elsevier, vol. 149(C), pages 89-103.
    19. Woo, C.K. & Li, R. & Shiu, A. & Horowitz, I., 2013. "Residential winter kWh responsiveness under optional time-varying pricing in British Columbia," Applied Energy, Elsevier, vol. 108(C), pages 288-297.
    20. Tang, Rui & Wang, Shengwei & Shan, Kui & Cheung, Howard, 2018. "Optimal control strategy of central air-conditioning systems of buildings at morning start period for enhanced energy efficiency and peak demand limiting," Energy, Elsevier, vol. 151(C), pages 771-781.

    More about this item

    Keywords

    Active Consumer; Energy Market; Demand-Side Management; Economic Benefits.;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    Statistics

    Access and download statistics

    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:eco:journ2:2018-03-2. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.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.