Mathematical Description of Energy Transition Scenarios Based on the Latest Technologies and Trends
Abstract
:1. Introduction
2. The Current State of the Energy Sector
2.1. Modern Trends of the Energy Sector
2.2. Changes Observed in 2020
3. Ways of Reducing Global Warming
- energy-efficient technologies;
- renewable energy;
- green hydrogen;
- CCS technology
3.1. Energy-Efficient Technologies
3.2. Renewable Energy
3.3. Hydrogen
4. Mathematical Description
4.1. Methodology
- 7.4 billion people by the year 2100 (using the model with lags described in [70]);
- 9.3 billion people by the year 2100 (using the model with lags [70]);
- 10 billion people by the year 2100 (using the model of sustainable evolutionary growth according to Kapitsa [71]); and
- 11 billion people by the year 2100 (according to the UN scenario [72]).
4.2. Results
5. Conclusions
- -
- calculation of various scenarios of growth in the population of the world;
- -
- calculation of the corresponding scenarios for the development of the dynamics of energy demand, based on the new paradigm of energy consumption;
- -
- scenarios writing for the dynamics of the structure of energy consumption by types of energy sources (coal, oil, gas, renewable energy sources, nuclear energy, hydropower);
- -
- scenarios writing for the dynamics of demand for organic fossil fuels (coal, oil, gas);
- -
- scenarios writing for the dynamics of changes in the structure of hydrocarbon energy sources (coal, oil, gas);
- -
- calculation of the dynamics of CO2 emissions into the atmosphere during the combustion of hydrocarbon fuels, taking into account structural changes in the consumption of organic fossil fuels (coal, oil, gas), as well as the use of technologies for carbon capture and storage (CCS);
- -
- calculation of the dynamics of CO2 accumulation in the atmosphere, taking into account non-industrial CO2 emissions (due to deforestation and soil erosion) and absorption of part of the emissions by oceans and terrestrial ecosystems; and
- -
- calculation of changes in the global average temperature of the surface atmosphere.
- renewable energy;
- energy-efficient technologies;
- CCS technology; and
- green hydrogen.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
CCS | Carbon Capture and Storage; |
CO2 | carbon dioxide; |
EJ | exajoule; |
GW | gigawatt; |
LED | a light-emitting diode; |
Mt | megaton; |
NPP | Nuclear Power Plants |
SPP | Solar Power Plants; |
Toe | tonnes of oil equivalent; |
UN | United Nations; |
WPP | Wind Power Plants. |
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Akaev, A.A.; Davydova, O.I. Mathematical Description of Energy Transition Scenarios Based on the Latest Technologies and Trends. Energies 2021, 14, 8360. https://doi.org/10.3390/en14248360
Akaev AA, Davydova OI. Mathematical Description of Energy Transition Scenarios Based on the Latest Technologies and Trends. Energies. 2021; 14(24):8360. https://doi.org/10.3390/en14248360
Chicago/Turabian StyleAkaev, Askar A., and Olga I. Davydova. 2021. "Mathematical Description of Energy Transition Scenarios Based on the Latest Technologies and Trends" Energies 14, no. 24: 8360. https://doi.org/10.3390/en14248360
APA StyleAkaev, A. A., & Davydova, O. I. (2021). Mathematical Description of Energy Transition Scenarios Based on the Latest Technologies and Trends. Energies, 14(24), 8360. https://doi.org/10.3390/en14248360