Model Analysis of Eco-Innovation for National Decarbonisation Transition in Integrated European Energy System
Abstract
:1. Introduction
2. Literature Review
2.1. Research Review on the Environmental Component of Innovative Regional Systems
2.2. Ecological Regulation of Energy Consumption
3. Methodology
3.1. Sectoral Study of Greening the Economy in the Energy Industry
3.2. Screening Method
3.3. Mathematical Modelling
4. Results
4.1. Decarbonisation and the “Green Transition” as an Innovative Component of Sustainable Economic Development of Ukraine
- -
- Continuous and sustainable growth of the socio-economic level of the region, based on innovative entrepreneurial activity, smart specialisation of the region, a significant level of competitiveness, adaptation to market changes, and flexible response to infrastructure challenges and political conditions;
- -
- Constant self-development based on the constant growth of social needs of the region, which must be ensured by constant commercialisation of innovations, and as a consequence, the formation of new social needs of higher quality and the cyclical nature of further innovative development;
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- Causal relationships, which are reflected in the interaction and motivation of regional development stakeholders.
4.2. Influence of State Regulation on the Process of Decarbonisation/Adaptation in the Region
4.3. Applied Models of Decarbonisation of Energy-Intensive Sectors
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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The Order in the Queue to Resolve the Issue | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|
Emissions of carbon dioxide into the atmosphere | Centre | South | East | West | North |
Regions | 2018 | 2019 | 2020 | +/− 2020 before 2019 | +/− 2019 before 2018 |
---|---|---|---|---|---|
… | … | … | … | … | |
Vinnytsia | 25 | 28 | 31 | 3 | 3 |
Volyn | 14 | 11 | 12 | 1 | −3 |
Dnipropetrovsk | 71 | 64 | 75 | 11 | −7 |
Donetsk | 23 | 27 | 24 | −3 | 4 |
Zhytomyr | 19 | 24 | 15 | −9 | 5 |
Zakarpattia | 12 | 9 | 10 | 1 | −3 |
Zaporizhzhia | 36 | 47 | 41 | −6 | 11 |
Ivano-Frankivsk | 28 | 22 | 28 | 6 | −6 |
Kyiv | 54 | 41 | 56 | 15 | −13 |
Kirovohrad | 26 | 20 | 20 | 0 | −6 |
Luhansk | 5 | 11 | 10 | −1 | 6 |
Lviv | 44 | 44 | 60 | 16 | 0 |
Mykolaiv | 14 | 22 | 14 | −8 | 8 |
Odesa | 25 | 33 | 30 | −3 | 8 |
Poltava | 30 | 32 | 35 | 3 | 2 |
Rivne | 8 | 20 | 19 | −1 | 12 |
Sumy | 25 | 23 | 23 | 0 | −2 |
Ternopil | 20 | 29 | 35 | 6 | 9 |
Kharkiv | 119 | 116 | 96 | −20 | −3 |
Kherson | 14 | 13 | 14 | 1 | −1 |
Khmelnytsk | 11 | 10 | 15 | 5 | −1 |
Cherkasy | 29 | 30 | 31 | 1 | 1 |
Chernivtsi | 9 | 7 | 13 | 6 | −2 |
Chernihiv | 15 | 11 | 22 | 11 | −4 |
City | 0 | 0 | |||
Kyiv | 101 | 88 | 79 | −9 | −13 |
… | … | … | … | … |
Stakeholder | The Question Answered by the Related Model Complex |
---|---|
National regulators and central executive bodies | How and with what speed can the economy be decarbonised as efficiently as possible for the country? |
Regulators at the international level | How and when will most countries in the world be able to achieve the goals of the Paris Agreement? |
Financial sector | What are the possible consequences of the complete cessation of funding for carbon-intensive projects? |
Business community | How can a company be decarbonised as effectively as possible? How can a company’s real assets be adapted to climate change? |
National climate organisations and climate activists | What are the possible consequences for the world in the event of non-acceptance of mitigation of climate change? |
Population | How will decarbonisation/adaptation methods affect incomes, health and living standards? |
Type of Decarbonisation Model | Functional and Structural Features | Disadvantages and Shortcomings |
---|---|---|
Descending models | Economists and governments commonly use descending models. These models focus on aggregating macroeconomic sectors. They are usually characterised by a simplified presentation of components and therefore do not fit the definition of sectoral policy. Their scope is to assess the impact of energy and climate policies on socio-economic sectors, such as social growth and social welfare, employment, etc. A top-down approach may also consider interdependence between sectors or countries. | Descending models lack technological details and are limited to modelling financial policy instruments. This study has methodological limitations. The parameters of elasticity and autonomous efficiency in descending models were estimated based on empirical data. |
Rising models | The ascending approach is to develop engineering models with a detailed description of the technological aspects of the energy system and how they may develop in the future, which allows the determination of sectoral policies. Energy demand is usually set exogenously, and models analyse how this energy demand should be met at minimal cost. However, the bottom-up approach does not consider the link between the energy system and macroeconomic sectors, thus ignoring the impact on these sectors. | Traditional ascending models describe technologies, but they realistically reflect the economic decisions made by enterprises and consumers when choosing technologies and do not reflect the potential feedback of macroeconomic equilibrium. |
The Name of the Event | The Essence of the Event | Formalised Term in Equation (3) |
---|---|---|
Adoption of laws regulating the conditions for access to energy systems for installations of renewable energy sources (RES) | Adoption of laws regulating access to energy systems | |
Establishment of special guaranteed tariffs for the purchase of electricity produced from RES and obligations for energy networks to purchase electricity | Transition to renewable energy sources (RES) | |
Establishment of a mandatory share of electricity produced from RES in the balance of electricity sold by power grids | Establishment of special guaranteed tariffs for the purchase of electricity produced from RES as well as obligations for energy networks to buy this energy | |
Financing research activities leading to a reduction in renewable energy cost | Establishment of a mandatory share of electricity generated from RES in the balance of electricity sales of power grids | |
Establishment of state and other institutions to promote renewable energy, implement special programmes and demonstrate projects | Funding for research activities that reduce RES costs | |
Preferential loans for purchasing renewable energy equipment and partial returns on investment for consumers | Establishment of state institutions for the promotion of RES and implementation of special projects | |
Accelerated depreciation of RES equipment | Preferential loans for purchasing RES equipment and partial returns on investment for consumers | |
Organisation of public support and the introduction of voluntary forms of support, such as the purchase of green energy by consumers as well as the transparency of information on the share of clean electricity in the balance of energy networks | Accelerated depreciation of RES equipment | |
Subsidising investment in renewable energy | Organisation of public support and introduction of voluntary forms of support, such as consumer purchases of “Green Energy” as well as transparency of information on the share of clean electricity in the balance of energy networks | |
Tax exemptions and tax rate reductions | Subsidising RES investments |
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Koval, V.; Borodina, O.; Lomachynska, I.; Olczak, P.; Mumladze, A.; Matuszewska, D. Model Analysis of Eco-Innovation for National Decarbonisation Transition in Integrated European Energy System. Energies 2022, 15, 3306. https://doi.org/10.3390/en15093306
Koval V, Borodina O, Lomachynska I, Olczak P, Mumladze A, Matuszewska D. Model Analysis of Eco-Innovation for National Decarbonisation Transition in Integrated European Energy System. Energies. 2022; 15(9):3306. https://doi.org/10.3390/en15093306
Chicago/Turabian StyleKoval, Viktor, Oksana Borodina, Iryna Lomachynska, Piotr Olczak, Anzor Mumladze, and Dominika Matuszewska. 2022. "Model Analysis of Eco-Innovation for National Decarbonisation Transition in Integrated European Energy System" Energies 15, no. 9: 3306. https://doi.org/10.3390/en15093306
APA StyleKoval, V., Borodina, O., Lomachynska, I., Olczak, P., Mumladze, A., & Matuszewska, D. (2022). Model Analysis of Eco-Innovation for National Decarbonisation Transition in Integrated European Energy System. Energies, 15(9), 3306. https://doi.org/10.3390/en15093306