Investigating strategies to reduce CO2 emissions from the electricity sector: the case of Greece

Energy Policy ◽  
1997 ◽  
Vol 25 (3) ◽  
pp. 327-336 ◽  
Author(s):  
Spyros Vassos ◽  
Andriana Vlachou
2013 ◽  
Vol 15 (3) ◽  
pp. 273-281

<p>The purpose of this paper is to offer an initial presentation and classification of the methodological approaches used to analyzing energy demand, related CO2 emissions and economic development for countries, regions and subsequently to provide for an extended survey of related articles for the case-study of Greece that identified 48 scientific publications. It was found that all three main existent methodological analytical schemes, namely &lsquo;Top-down&rsquo; models, Econometric methods and Decomposition Analysis methods, have been applied to model energy, environmental and macro-economic variables for Greece. Specific application areas included sectoral (industrial, transport, tourism, manufacturing, residential and electricity) energy demand and related CO2 emissions, energy prices and energy taxation. The paper culminates to a comprehensive comparison of employed methods and obtained results for Greece and conclusions.</p>


2021 ◽  
Vol 899 (1) ◽  
pp. 012025
Author(s):  
Giannis Lazarou ◽  
Sofia Giannarou

Abstract Following the EU guidelines towards a carbon free electricity sector by 2050, wind energy is expected to contribute a large part of the produced electricity, if not the largest. In this respect, wind installations are expected to multiply over the next years. There is significant development until today and wind is generally considered as a “clean” source of energy. However, although arguably less than other sources, the impacts concerning wind installations are certainly there amidst ever-growing local opposition and will certainly grow, especially in locations with high density. Attempting to quantify the total impacts per local regions in the case of Greece, a methodology is developed for those impact factors that are considered the most important. Certain focus areas are used for applying this methodology, based on installation density, location inside natural protected areas, as well as locations of touristic value. The results show that in general the total impacts might be considered on average mild to low. The tool developed is a first attempt to evaluate impact in a cumulative way and help investors, policy makers and local communities work together in achieving the best possible outcome. Further work is necessary to further develop this methodology, verify and detail the formulas used and establish a robust pattern that will be a useful tool for everyone to use.


Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4042
Author(s):  
Gürkan Kumbaroğlu ◽  
Cansu Canaz ◽  
Jonathan Deason ◽  
Ekundayo Shittu

This paper focuses on the interdependent relationship of power generation, transportation and CO2 emissions to evaluate the impact of electric vehicle deployment on power generation and CO2 emissions. The value of this evaluation is in the employment of a large-scale, bottom-up, national energy modeling system that encompasses the complex relationships of producing, transforming, transmitting and supplying energy to meet the useful demand characteristics with great technological detail. One of such models employed in this analysis is the BUEMS model. The BUEMS model provides evidence of win-win policy options that lead to profitable decarbonization using Turkey’s data in BUEMS. Specifically, the result shows that a ban on diesel fueled vehicles reduces lifetime emissions as well as lifetime costs. Furthermore, model results highlight the cost-effective emission reduction potential of e-buses in urban transportation. More insights from the results indicate that the marginal cost of emission reduction through e-bus transportation is much lower than that through other policy measures such as carbon taxation in transport. This paper highlights the crucial role the electricity sector plays in the sustainability of e-mobility and the value of related policy prescriptions.


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