The impact of dynamic route guidance system driven by travel time measurements on carbon dioxide emission

Author(s):  
Michal Markiewicz
2017 ◽  
Vol 28 (7) ◽  
pp. 687-705 ◽  
Author(s):  
Blanca Moreno ◽  
María T García-Álvarez

Spain and Portugal are highly dependent on energy from abroad, importing more than 70% of all the energy they consume. This high energy dependence could involve important effects on the level and stability of their electricity prices as a half the gross electricity generated in both countries came from power stations using imported combustible fuels (such as natural gas, coal and oil). In general, changes in the prices of these fossil fuels can directly affect household electricity prices, since generation costs are likely to be transmitted through to the wholesale electricity market. Moreover, in the framework of the European Union Emission Trading System, electricity production technologies tend to incorporate their costs of carbon dioxide emission allowances in sale offers with the consequent increase of the electricity prices. The objective of this paper is to analyze the influence of fossil fuel costs and prices of carbon dioxide emission allowances in the EU on the Spanish and Portuguese electricity prices. With this aim, a maximum entropy econometric approach is used. The obtained results indicate that not only the price of imported gas are very important in explaining Spanish and Portuguese electricity prices but also the price of carbon dioxide emission allowances in the EU.


2020 ◽  
Vol 2 (4) ◽  
pp. 492-512
Author(s):  
Simon P. Philbin

Carbon capture and utilization (CCU) is the process of capturing unwanted carbon dioxide (CO2) and utilizing for further use. CCU offers significant potential as part of a sustainable circular economy solution to help mitigate the impact of climate change resulting from the burning of hydrocarbons and alongside adoption of other renewable energy technologies. However, implementation of CCU technologies faces a number of challenges, including identifying optimal pathways, technology maturity, economic viability, environmental considerations as well as regulatory and public perception issues. Consequently, this research study provides a critical analysis and evaluation of the technology pathways for CCU in order to explore the potential from a circular economy perspective of this emerging area of clean technology. This includes a bibliographic study on CCU, evaluation of carbon utilization processes, trend estimation of CO2 usage as well as evaluation of methane and methanol production. A value chain analysis is provided to support the development of CCU technologies. The research study aims to inform policy-makers engaged in developing strategies to mitigate climate change through reduced carbon dioxide emission levels and improve our understanding of the circular economy considerations of CCU in regard to production of alternative products. The study will also be of use to researchers concerned with pursuing empirical investigations of this important area of sustainability.


1994 ◽  
Vol 2 (3) ◽  
pp. 165-183 ◽  
Author(s):  
J. Weymann ◽  
J.-L. Farges ◽  
J.-J. Henry

Author(s):  
Jarod C. Kelly ◽  
Deepak Sivaraman ◽  
Gregory A. Keoleian

Many studies that examine the impact of renewable energy installations on avoided carbon-dioxide utilize national, regional or state averages to determine the predicted carbon-dioxide offset. The approach of this computational study was to implement a dispatching strategy in order to determine precisely which electrical facilities would be avoided due to the installation of renewable energy technologies. This study focused on a single geographic location for renewable technology installation, San Antonio, Texas. The results indicate an important difference between calculating avoided carbon-dioxide when using simple average rates of carbon-dioxide emissions and a dispatching strategy that accounts for the specific electrical plants used to meet electrical demands. The avoided carbon-dioxide due to renewable energy technologies is overestimated when using national, regional and state averages. This occurs because these averages include the carbon-dioxide emission factors of electrical generating assets that are not likely to be displaced by the renewable technology installation. The study also provides a comparison of two specific renewable energy technologies: photovoltaics (PV) and wind turbines. The results suggest that investment in PV is more cost effective for the San Antonio location. While the results are only applicable to this location, the methodology is useful for evaluating renewable technologies at any location.


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