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State decoupling audit of low-carbon agricultural production Texto completo
2021
Datsii, O., Interregional Academy of Personnel Management, Kiev (Ukraine) | Levchenko, N., National Univ. Zaporizhzhia Polytechnic (Ukraine) | Shyshkanova, G., National Univ. Zaporizhzhia Polytechnic (Ukraine) | Dmytrenko, R., Vinnytsia National Agrarian Univ. (Ukraine) | Abuselidze, G., Batumi Shota Rustaveli State Univ. (Georgia)
State decoupling audit of low-carbon agricultural production Texto completo
2021
Datsii, O., Interregional Academy of Personnel Management, Kiev (Ukraine) | Levchenko, N., National Univ. Zaporizhzhia Polytechnic (Ukraine) | Shyshkanova, G., National Univ. Zaporizhzhia Polytechnic (Ukraine) | Dmytrenko, R., Vinnytsia National Agrarian Univ. (Ukraine) | Abuselidze, G., Batumi Shota Rustaveli State Univ. (Georgia)
It is stated that the strategic benchmark for transformational changes in the economy is currently low-carbon production, the achievement of which is possible to provide with the consistent application of an arsenal of strict control measures, in particular, the introduction of state audit of low-carbon production. The effectiveness of the mechanism for ensuring the implementation of the UN Framework Convention on Climate Change has been assessed. The necessity of implementation in the domestic practice of the state audit of low-carbon production by the decoupling approach is proved. The agri-business portfolio has been formed according to the decoupling approach as one of the leaders in greenhouse gas pollution. The author's economic and mathematical models of estimation according to the decoupling approach of the impact of branches of crop and livestock production on environmental pollution are proposed. The dependence of greenhouse gas emissions on the volume of gross output of agricultural production, capital investment and current expenditures on environmental protection has been established. The results of a comparative analysis of the realism of forecasts of changes in greenhouse gas emissions according to the methodology of the National Academy of Sciences of Ukraine and the author's methodology are highlighted. A roadmap for the introduction of a state low-carbon decoupling audit of the state decoupling audit has been proposed as part of the preparation of the second nationally determined contribution to the Paris Agreement. The expediency of supplementing GRI 300 “Environmental Disclosures” with the group of indicators GRI-305.5 “Reduction of GHG emissions”, formed by the decoupling approach, is substantiated.
Mostrar más [+] Menos [-]State Decoupling Audit of Low-Carbon Agricultural Production Texto completo
2021
Datsii, Oleksandr | Levchenko, Nataliia | Shyshkanova, Ganna | Dmytrenko, Ruslan | Abuselidze, George
It is stated that the strategic benchmark for transformational changes in the economy is currently low-carbon production, the achievement of which is possible to provide with the consistent application of an arsenal of strict control measures, in particular, the introduction of state audit of low-carbon production. The effectiveness of the mechanism for ensuring the implementation of the UN Framework Convention on Climate Change has been assessed. The necessity of implementation in the domestic practice of the state audit of low-carbon production by the decoupling approach is proved. The agri-business portfolio has been formed according to the decoupling approach as one of the leaders in greenhouse gas pollution. The author's economic and mathematical models of estimation according to the decoupling approach of the impact of branches of crop and livestock production on environmental pollution are proposed. The dependence of greenhouse gas emissions on the volume of gross output of agricultural production, capital investment and current expenditures on environmental protection has been established. The results of a comparative analysis of the realism of forecasts of changes in greenhouse gas emissions according to the methodology of the National Academy of Sciences of Ukraine and the author's methodology are highlighted. A roadmap for the introduction of a state low-carbon decoupling audit of the state decoupling audit has been proposed as part of the preparation of the second nationally determined contribution to the Paris Agreement. The expediency of supplementing GRI 300 “Environmental Disclosures” with the group of indicators GRI-305.5 “Reduction of GHG emissions”, formed by the decoupling approach, is substantiated.
Mostrar más [+] Menos [-]Present and future availability of livestock manure for biogas production in Latvia Texto completo
Lagzdins, Ainis
In order to address existing and foreseen climate change and environmental challenges, the European Commission has adopted a set of proposals as part of the European Green Deal to reduce emissions of greenhouse gases and become the first climate-neutral continent in the world. In the energy sector it is planned to implement specific actions to increase the contribution from renewable sources of energy. Livestock manure as a renewable resource can be processed to produce biogas through anaerobic digestion processes. This study aimed to estimate the amount of livestock manure potentially available for biogas production in Latvia based on statistical information on the number of animals representing current and past trends, and forecasts for the future provided by the results of the Latvian Agricultural Sector Analysis Model (LASAM). The results of this study showed that the share of livestock manure processed to produce biogas has increased considerably during the time period from 2010 to 2019 in all groups of livestock considered for this application in Latvia. However, there are still opportunities to increase the share of manure utilised for anaerobic digestion, especially in the livestock groups of dairy cows and non-dairy cows, as only 16% and 13% of the available amount of manure was processed in 2019, respectively. The LASAM results indicate that the number of animals will experience negligible changes or will decrease; therefore, more attention will need to be paid to increase the efficiency of processing the existing amount of manure rather than relying on an additional amount of manure available for biogas production.
Mostrar más [+] Menos [-]Integrating reflective practice into the self-improvement cycle module for renewable energy forecasting accuracy Texto completo
2024
Veigners, Girts | Galins, Ainars | Dukulis, Ilmars | Veignere, Elizabete
The increasing reliance on renewable energy sources such as solar and wind power necessitates the development of advanced forecasting techniques to address the inherent variability and unpredictability of these energy systems. Accurate forecasting is vital for optimising energy production, maintaining grid stability, and effectively integrating renewable energy into power systems. Traditional forecasting methods often struggle to adapt to rapidly changing environmental conditions and new data inputs, limiting their effectiveness in dynamic contexts. This study introduces the Self-Improvement Cycle (SIC) module, which is designed to enhance forecasting accuracy through continuous learning, adaptation, and feedback integration. The SIC module leverages advanced machine learning algorithms, reinforcement learning techniques, and reflective practice principles to create a self-improving framework that dynamically updates models based on real-time data and external feedback. The module’s design incorporates multiple feedback loops, enabling the system to iteratively refine its performance and remain robust in the face of changing conditions. Reflective practice, a concept drawn from psychology, plays a critical role in the SIC module by facilitating ongoing evaluation and adaptation. By learning from previous predictions and continuously adjusting algorithms, the SIC module demonstrates its potential to improve forecasting accuracy across various domains, with a particular emphasis on renewable energy forecasting. The theoretical and mathematical foundations of the SIC module are explored, showcasing its capability to enhance predictive accuracy and resilience in an evolving energy landscape.
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