International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

The building sector in our country has an important share of energy consumption. According to Eurostat data, final energy consumption in the residential sector was estimated about 35 % of the total consumption. On the other hand about 75% of the electricity consumption takes place in the building sector. It should be noted that currently this sector faces many challenge, as the quality of energy supply (heating) in public buildings and the residential sector remains at low rates. Nevertheless, reducing energy consumption is one of the main targets set in the National Energy Strategy 2018-2030. By 2030 this target suggests 15.5 % of the energy reduction. This study has at its core the assessment of energy consumption in a public building placed in the city of Durres. Determining the typology and thermophysical characteristics of the building is of primary importance. The evaluation of the energy performance of the building in the dynamic regime was carried out through the Hourly Energy Analysis (HAP) software. The implementation of energy efficiency measures is carried out taking into account the energy and cost criteria. A cost analysis of EE measures was performed using the dynamic Net Present Value method.

In this study, emission amounts emitted from the transportation are examined by using fuzzy inference system in MATLAB. The effect of the speed and the traffic condition are taken into consideration in a fuzzy model.

The development of high power electronics, improvement of existing and emerging of new battery technologies and optimization of electric motors over the last decade are some of the issues that have raised the interest in electric vehicles. Based solely on tank to wheel analyses, electric vehicles are regarded as zero emission vehicles. Regarding these facts, the research presented in this paper is focused on mixed traffic with different percentage rates of electric vehicles and its environmental influence in urban areas. A model of a mixed traffic stream comprised of conventional and electric vehicles was built upon a microscopic single lane urban traffic simulator.

Through number of parallel simulations of solely conventional and mixed traffic stream and analysis of the results, we have evaluated the influence that certain presence rates of electric vehicles in the mixed traffic stream have on the exhaust emission. The results that we have obtained are constrained by the assumption that the electric energy used by the electric vehicles originates from renewable energy sources.