Our research examines a permit trading system where all countries participate to achieve a long-term greenhouse gases (GHG) stabilization target. Our main objective is to propose allocation schemes that lead to a fair distribution of net abatement costs among world regions. These costs are good indicators of the need to emit of regions and their opportunities to abate, two criteria that are int...

In the past, the energy planners through setting the desired level of economic growth simply used this figure as a base to which additional increases were made, dependent on changing population and supply conditions. Planning proceeded from the national, macroeconomic position, to the aggregate, sectoral and finally project levels. Such process was a virtual oneway linkage from economic growth ...

This paper studies the development possibilities of the energy systems of four Central Asia and Caspian countries. It explores options that improve their domestic energy efficiencies and increase their export of fossil energy commodities. Using the MARKAL-TIMES modelling tool, it represents their energy system with a bottom-up partial economic equilibrium growth model. With the help of scenario...

The Global MARKAL-Model (GMM), a multi-regional "bottom-up" partial equilibrium model of the global energy system with endogenous technological learning, is used to address impacts of internalisation of external costs from power production. This modelling approach imposes additional charges on electricity generation, which reflect the costs of environmental and health damages from local polluta...

Using Japan as a proxy for developed nation, we investigated the role of existing and nascent technologies in curbing carbon emissions. We simulated possible pathways to meeting 2030 2050 emission targets within Japanese electricity supply sector using single-region model The Integrated MARKAL-EFOM System (TIMES). Critically, our simulations incorporate novel like hydrogen electrolysers, captur...

This paper deals with the modeling of the long term evolution of regional energy systems in a smart city and smart grid environment. It is shown that demand response and distributed grid energy storage, driven by dynamic pricing schemes, based on locational marginal costs, can be represented in the linear programming framework of the models of the MARKAL/TIMES family. An implementation in the E...

The implications of key policy measures aimed at reducing global Greenhouse Gas (GHG) emissions through the deployment of advanced and climate-friendly energy fuels and conversion technologies are the focus of this study. The study was performed for the ACROPOLIS Project of the European Commission (EC) and the NCCR-CLIMATE Project. The structural, environmental and economic impacts of a set of ...