Determining for Consumers the Origin of Electricity From Low-carbon Energy Sources
Year: 2024
Type: conference-paper
Abstract: The research focuses on determining the share of electricity that a consumer receives from low-carbon sources, such as renewable energy sources and nuclear power. Confirmation of the origin of the consumed electricity helps to improve the company's image in the eyes of customers, partners and investors and to label products accordingly. Also, in the context of the introduction of the EU's carbon adjustment mechanism for imports (CBAM), determining the origin of electricity is becoming relevant for companies in such industries as metallurgy, construction, energy and agriculture. CBAM will create additional barriers to trade by increasing costs due to carbon emissions, making it more difficult for Ukrainian goods to export to the EU. The use of clean energy can reduce the cost of carbon certificates under the CBAM. Companies sourcing energy from lowcarbon sources will have fewer CO2 emissions, which will reduce their import costs to the EU. For companies and entrepreneurs engaged in foreign trade, this can be an important strategy for adapting to new requirements and remaining competitive. In order to confirm the origin of electricity from LCES, the article investigates the possibility of applying a method for calculating individual components of electricity flows in the branches of the power grid circuit caused by generation and consumption in the nodes. The method is based on the methods and algorithms for calculating steady-state modes of power grids. As a result, a matrix of power distribution coefficients is formed, which allows determining the component of power flows in the branches of the circuit caused by the generation of LCES. As an example, a calculation was performed for an IEEE circuit of 14 nodes, including various energy sources, using the Power Factory software package. The analysis of the calculation results is confirmed by the results of computer modelling.
Authors: Iryna Hunko, Vladyslav Lysyi, Artur Sytnyk
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4405876819