ANALYTICAL REVIEW OF INTERNATIONAL DOCUMENTS RATIFIED IN UKRAINE AND NATIONAL REQUIREMENTS FOR THE OPERATION OF EQUIPMENT THAT BURNS ORGANIC FUEL
Bibliographic record
Abstract
The article provides an analytical review of international documents ratified in Ukraine and national requirements for the operation of equipment that burns organic fuel, namely the Paris Agreement (reduction of greenhouse gas emissions, reduction of consumption of traditional energy resources, increase of the share of renewable sources), the National Emissions Reduction Plan pollutants from large combustion plants (limitations on dust, SO2, NOx emissions), the European Green Deal and the introduction of a carbon border adjustment mechanism by the European Union (EU). Formation of restrictions on the volume of emissions into the atmosphere. Environmental performance indicators and their relationship with energy efficiency indicators used in forecasting energy consumption. The research methodology is based on general research methods of information analysis and synthesis, which are used to systematize the data of the current legislation. The purpose of this work is to review the current international agreements, in which Ukraine participates, regarding harmful emissions of pollutants and greenhouse gases, and the changes that have occurred in them recently. In the future, the directions and volumes of reducing the consumption of organic fuel in industrial technologies by increasing energy efficiency or replacing it with less dirty types of fuel should be determined. The result of the review is a list of the main obstacles to the fulfillment of Ukraine’s obligations and possible ways of solving this problem. Thus, in relation to Ukraine, the goal of the Paris Agreement is not to exceed the level of greenhouse gas emissions at the level of 60% from 1990 over the next 15 years. This seems quite achievable. Not so easy with the National Plan for the Reduction of Pollutant Emissions from Large Combustion Plants (NPCP). The deadline for its implementation and the deadline for the implementation of the relevant EU Directive have been extended to January 1, 2038. The reason is the impossibility of implementing it within the established time limits until 2028–2033 due to the rather short set time limits and lack of state funding. With regard to the European Green Deal and the Carbon Border Adjustment Mechanism, it is worth noting that one of the negative results will be a decrease in the competitiveness of steel from Ukrainian enterprises, where it is produced using blast furnaces, in the European Union it will become less competitive compared to steel from Canada or South Korea. About a third of Ukrainian exports to the EU will fall under the scope of SVAM. Ukraine is conducting successful negotiations with the EU in order to obtain more loyal conditions. The EU’s position regarding Ukraine on CBAM will depend on the readiness of the emissions trading system (ETS), which should be launched in 2025–2026.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.016 | 0.017 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".