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Purpose -The purpose of this investigation is the dynamic modelling of greenhouse gas (GHG) and air pollution emissions, to identify technology and policy options for reducing GHG and air pollution, and to explain how these options might affect the different variables of mobile source emission systems in Kosovo. Design/methodology/approach -For modelling impacts of the technology and policy options for reducing GHG and air pollution, the model STELLA software has been used. The annual total emission for air pollutants (CO, NO x , CH x , SO 2 and dust) and GHG (CO 2 ) from the year 2000 up to 2025 is calculated. 2000 is taken as the base year for emission. Initial data value for vehicle population is taken from MEM and from World Bank ESTAP Project for Kosovo. Projection for the total number of vehicles in Kosovo is calculated with the WB Atlas Method, while the projection for emission factors and total annual emission for Air Pollutants and GHG (CO 2 ) are calculated with US EPA methodology. Findings -From the results obtained using this model, the variables that drive GHG and air pollutant emissions and reduction in transport are identified. This model, predicts high emission of air pollutions and GHG in the short term from 2000 to 2010. After 2015, due to implementing the emission reduction policies and introducing new technologies in transportation, a continual reduction in air pollution will take place, whereas the CO 2 output up to 2025 will be reduced by 25 percent in comparison with the emission values of 2007. Originality/value -Models presented here are the first, together with original data and results, with the predictions which are regional, but accepted globally. This work is original, since no such analysis has been carried out about mobile source emission systems in Kosovo. The paper provides data and results on which further research could be carried out.

This paper presents aspects of study and simulation approach for planned wind power projects in Kosovo Power System in relation with Grid Code requirements. All generators, connected to the Kosovo Transmission System are required to comply with the Grid Code. The Grid Code was originally developed with conventional synchronous generators. Since Wind Turbine Generators don’t have the same characteristics as synchronous generators, it was considered appropriate to develop a new set of Grid Code provisions specifically for Wind Farm Power Stations in relation with specific characteristic of Kosovo Power System. With high excepted penetration of wind power, a simultaneous loss of Wind Farms generation will put in the risk the security and reliability of Power System. Therefore, the main requirements for Wind farm power stations concern the fault ride through capability, frequency operation range, and reactive power capability of wind turbines. In the case of grid faults wind turbines have to supply a definite reactive power depending on the instantaneous voltage level of connection point and they must return quickly to normal operation

Under-frequency load shedding (UFLS) is designed to protect the power system when the frequency drops below given thresholds by switching off certain amounts of the load aiming thus to balance generation and load. This paper presents a review of the existing UFLS (Under Frequency Load Shedding) program in compliance with recently revised Police-5 of Operational Handbook of ENTSO-e. The proposed review of the current UFLS program for Kosovo Power System has considered the main standards requirements and guidelines for UFLS set by ENTSO-E. This work examine system performance by conducting dynamic simulations of UFLS schemes subject to different imbalances between load and generation, and includes three power system island mode scenarios with different equivalent inertia of the system, respectively different size of the systems. With aim to define the best program of UFLS, which fits to the Kosovo Power System frequency behavior, two different UFLS programs are analyzed and results are compared. The proposed program is tested using a large scale PSS/E model which represents interconnected power system area of Southeast Europe.

Sulfur dioxide (SO 2) and nitrogen dioxide (NO 2) emissions generated at coal burning power plants and from transport are a leading cause of acid deposition and chemical smog in many parts of the world. Sulfur dioxide emitted by thermal power plants and from transport in Kosovo is transported via prevailing winds to other locations. Through its journey, this SO 2 gas undergoes a series of chemical reactions that ultimately transform it into sulfuric acid (H 2 SO 4) which is deposited as acid rain. As a consequence of NO 2 emissions from electricity production and transport in Kosovo the ozone (O 3) is formed as photochemical smog due to sunlight, which triggers the breakdown of NO 2. We modeled the impact of SO 2 and NO 2 emissions from energy system and transport in Kosovo on acid deposition and chemical smog locally. In model we consider the role of SO 2 and NO 2 pollution control technologies on mitigating these impacts.