METHOD FOR ESTIMATING THE SHARE OF ELECTRICITY CONSUMPTION BY A GIVEN CONSUMER , WHICH IS PROVIDED FROM RENEWABLE ENERGY SOURCES
DOI:
https://doi.org/10.35546/kntu2078-4481.2022.3.2Keywords:
guarantees of origin, renewable energy, green tariff, blockchain.Abstract
One of the tools for confirming the origin of electricity sold on the retail market is the so-called Guarantee of Origin. They are the basis for calculating greenhouse gas emissions and reporting on carbon emissions and are the most requested by European enterprises. The use of guarantees of origin involves the use of specialized systems and software that allows for their registration, issuance and cancellation. Separation of physical processes from commercial processes is used in all European countries, therefore taking into account the topology of the network and losses of electricity for its transmission is an absolute advantage of the above study. The object of the research is the mechanism of confirmation of guarantees of origin, which is based on a reasonable determination of the volume of coverage of the consumer's load with energy from renewable sources. Existing solutions for electricity labeling based on Guarantees of Origin certificates have a number of problems. They often do not accurately reflect carbon emissions, do not provide transparency and verifiability for end consumers, as they do not take into account the physical processes of electricity transmission in the labeling system. Given the importance of electricity exports, the existence of a functioning mechanism of Guarantees of Origin will become especially important after the adoption of the European Union law on the “Green Deal” and the implementation of the Border Carbon Regulation Mechanism. To solve this problem, a method of determining the share of the load of each node of the electrical network, which is provided by a certain source of electricity, has been developed. To take into account the non-linearity of the relationship between the voltages in the nodes of electric networks and their generation or load capacities, the results of the steady state calculation are used. The method can be a tool for confirming the amount of electricity in guarantees of its origin, taking into account the physical processes of electrical networks.
References
Kotilainen, K., Valta, J., Makinen, S. J., & Jarventausta, P. (2017). Understanding consumers’ renewable energy behaviour beyond “homo economicus”: An exploratory survey in four European countries. 2017 14th International Conference on the European Energy Market (EEM). https://doi.org/10.1109/eem.2017.7981932
E3G, LEHNE, J., & SARTOR, O. (2020, September). Navigating The Politics Of Border Carbon Adjustments. https://www.e3g.org/wp-content/uploads/E3G-Briefing_Politics_Border_Carbon_Adjustment.pdf
Hansen, K., Breyer, C., & Lund, H. (2019). Status and perspectives on 100% renewable energy systems. Energy, 175, 471–480. https://doi.org/10.1016/j.energy.2019.03.092.
Van Renssen, S. (2020). The hydrogen solution? Nature Climate Change, 10(9), 799–801. https://doi.org/10.1038/ s41558-020-0891-0.
V. Kulyk, O. Burykin, M. Juliya and P. Viktor, "Оptimization of Reactive Energy Flows in the Electric Grid Taking Into Account Allowable Voltage Fluctuations," 2018 IEEE 3rd International Conference on Intelligent Energy and Power Systems (IEPS), Kharkiv, 2018, pp. 265-270. doi:10.1109/IEPS.2018.8559542.
De Chalendar, J. A., & Benson, S. M. (2019). Why 100% Renewable Energy Is Not Enough. Joule, 3(6), 1389– 1393. https://doi.org/10.1016/j.joule.2019.05.002 .
Comello, S., Reichelstein, J., & Reichelstein, S. (2021). Corporate Carbon Reduction Pledges: An Effective Tool to Mitigate Climate Change? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3875343 .
Will, C., Jochem, P., & Fichtner, W. (2017). Defining a day-ahead spot market for unbundled time-specific renewable energy certificates. 2017 14th International Conference on the European Energy Market (EEM). https://doi.org/10.1109/ EEM.2017.7981967
Hamburger, K. (2019). Is guarantee of origin really an effective energy policy tool in Europe? A critical approach. Society and Economy, 41(4), 487–507. https://doi.org/10.1556/204.2019.41.4.6.
Sedlmeir, J., Völter, F., & Strüker, J. (2021). The next stage of green electricity labeling. ACM SIGEnergy Energy Informatics Review, 1(1), 20–31. https://doi.org/10.1145/3508467.3508470.
Abenov, A., Lezhnjuk, P. D., Kulik, V. V., Burykin, O. B., Malogulko, J. V., & Kacejko, P. (2018). Transmission loss allocation for a bilateral contract in deregulated electricity market. Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018. https://doi.org/10.1117/12.2501604.
Lezhniuk, P., Burykin, O., Kulyk, V., Malogulko, J., Polishchuk, A., & Sytnyk, A. (2022). Devising a method for estimating the share of electricity consumption by a given consumer, which is provided from renewable energy sources . Eastern-European Journal of Enterprise Technologies, 5(8(119), 21–30. https://doi.org/10.15587/1729-4061.2022.265749.
