Samir Avdaković

The influence of wind speed, humidity, temperature and air pressure on pollutants concentrations of PM10 — Sarajevo case study using wavelet coherence approach

The city of Sarajevo as the capital and the largest administrative and economic center in Bosnia and Herzegovina represents one of the most polluted cities in Europe in terms of the concentration of PM10 (particulate matter 10). Scientific and professional communities have particularly been focused on identifying the causes of this situation, and on the introduction of the system of measures to reduce PM10 values to below the limit values. This paper analyzes the impact of meteorological variables (wind speed, humidity, temperature and pressure) to the concentration of PM10 in the city of Sarajevo by using the Wavelet Coherence approach (WTC). Available data indicate actual values recorded in the Federal Institute for Hydrometeorology in 2012. The results of the analysis show the different effects that certain meteorological parameters have on the concentrations of PM10 particles in a time period of one year. It can also be concluded that this approach is very useful in terms of the practical interpretation of available data and it offers a clearer picture of the impact of meteorological conditions on the concentrations of PM10 particles.

Bosnia and Herzegovina’s Power System: From the First Luminaires to the Modern Power System. Part I: History

This two-part chapter presents historical overview of the development of Bosnia and Herzegovina’s (B&H) power system with its trends and challenges in the future. B&H has a very wealthy and turbulent history of power system development which went through different development phases over time. It is possible to single out some very successful and progressive phases during more than 120 years. A very interesting period in this area is the period up to the First World War, when development of B&H power industry followed the development trends in Europe and USA. Also, the period after the Second World War presents a period of intensive construction of power plants, transmission and distributions grids, and an intense increase of power consumption. At the end of the twentieth century, the B&H power system experienced a significant destruction and power consumption in 2010 came again to the level of consumption from 1991. Today, B&H power system has been renewed and became a modern power system which is the part of the European power system. Also, in this paper we present some important dates and events related to the development of B&H power system, as well as trends and challenges in the sector of power distribution and power generation systems, with presentation of related specific technical indicators.

Bosnia and Herzegovina Power System: From the First Luminaires to the Modern Power System. Part II: Trends and Challenges

This two-part chapter presents historical overview of the development of Bosnia and Herzegovina’s (B&H) power system with its trends and challenges in the future. B&H has a very wealthy and turbulent history of power system development which went through different development phases over time. It is possible to single out some very successful and progressive phases during more than 120 years. A very interesting period in this area is the period up to the First World War, when development of B&H power industry followed the development trends in Europe and USA. Also, the period after the Second World War presents a period of intensive construction of power plants, transmission and distributions grids, and an intense increase of power consumption. At the end of the twentieth century, the B&H power system experienced a significant destruction and power consumption in 2010 came again to the level of consumption from 1991. Today, B&H power system has been renewed and became a modern power system which is the part of the European power system. Also, in this paper we present some important dates and events related to the development of B&H power system, as well as trends and challenges in the sector of power distribution and power generation systems, with presentation of related specific technical indicators.

Analysis of a Load Profile of the Public Company Roads of Federation Bosnia and Herzegovina

This paper shows an analysis of the power consumption of PC Roads of FB&H, which currently has 63 measuring points in its jurisdiction, where electric power is received. The subjects of this analysis are consumers of Public Company Roads of Federation of Bosnia and Herzegovina (PC Roads of FB&H): 16 tunnels, 18 road lightings, 24 traffic lights, 4 traffic lights with additional lights and administrative building, with a total annual consumption. Electric power consumption will be classified by consumption in tunnels, road lightings, traffic lights and administrative building. This will determine the character of each consumers group and contribution of each group in the total consumption. Work and activities area of PC Roads of FB&H is the area of the Federation of Bosnia and Herzegovina, where currently two electric power companies exist: Public Enterprise Elektroprivreda B&H (PE EP B&H) and Public Enterprise Elektroprivreda HZHB (PE EP HZHB), which in the jurisdiction of JP Roads of FB&H supply electricity for different consumers. The paper presents a method of making the load curve and its basic indicators, which is presented for each category of consumers too.

Analysis of Electroencephalogram on Children with Epilepsy Using Global Wavelet Spectrum

The electroencephalography (EEG) is an electrophysiological monitoring method to record electrical activity of the brain and is used as the method of choice for the diagnosis of epilepsy. Nowadays, we can find dozens of EEG signal analysis papers using mathematical approach and with a focus on identification of epilepsy. This paper presents some results relating to the analysis of EEG on children using the Global Wavelet Spectrum (GWS). The signals are analyzed and collected on the UKCS during 2015 and 2016 using GWS. To be able to make comparison, EEG signals are gathered from both patients with and without epilepsy. Using this approach it is possible to clearly differentiate patients with a diagnosis of epilepsy from healthy ones.

Energy Efficient Public Lighting—A Case Study

In this paper energy efficiency in public lighting has been presented. Electricity consumption is analyzed according to input date taken from Public Company Roads of Federation of B&H (PCR FB&H). According to the analysis major consumers are classified and measures for rational consumption of electricity in public lighting are given. Analysis is carried out by replacing the existing lighting system by modern energy efficient lighting system (LED lighting), taking into account all technical and regulatory requirements. After that a techno-economic analysis of the installation of new lighting system is carried out with the necessary investment and time required to recoup the funds expended in an investment.

Electric Energy Losses Estimation in Power Distribution System—Tuzla Canton Case Study

The method for estimation of electrical energy losses in distribution system from the place of taking electrical energy from network of transmission company or other suppliers to the place of delivery to the end customers and determination the structure of losses by voltage levels is presented. For part of the distribution network for which the losses are calculated, constant losses, load dependent losses and losses in components of electrodistribution network are taken into account. Distribution losses by voltage levels is made by balancing the total electrical energy losses and losses estimated by method of stationary load flow calculations on medium-voltage (MV) of certain electrodistribution network. The presented method is very practical and by its application the parts of electrodistribution system with increased losses are located with high reliability. Results of analysis of electrical energy losses, which is done by presented method, can be taken as a reliable basis for taking action in the aim of reducing total losses in electrodistribution network. The results of practical analysis are presented for the area of Tuzla Canton—Bosnia and Herzegovina.

Application of Teager Energy Operator for the Power System Fault Identification and Localisation

Power system is constantly exposed to the disturbances. Some disturbances can cause cascading propagation and outages of other generators or transmission lines in the system. Finally that can lead to the partial or total system blackout. Wide Area Monitoring Protection and Control (WAMPAC) systems based on phasor measurement units (PMU) are strongly improving in order to eventually prevent these dangerous occurences. This platform presents base for the development of the smart grids. One of the requirements for the smart power systems is presence of the algorithms for fast and correct fault identification and localisation. In this paper Teager Energy Operator (TEO) is proposed for the processing and analysis of the synchronized measurement signals in order to perform fault identification and localisation. Several fault types are simulated in the NE 39 bus test system using DigSILENT Power Factory software. Results of the fault identification and localisation are compared with Discrete Wavelet Transform (DWT).

Identifications of Power System Dominant Low-Frequency Eletromechanical Oscillations Using Hilbert Marginal Spectrum

Identification of low-frequency electromechanical oscillations (LFEOs) in a power systems is an important aspect of modern systems for monitoring, control and protection. Generally, available signals from power systems are nonlinear and non-stationary, and their treatment requires adequate mathematical techniques. One of the most popular technique for time-frequency signal analysis is the Hilbert-Huang transform, with a very successful application in different fields of science. In this paper, the Hilbert marginal spectrum (HMS) obtained by the Empirical Mode Decomposition (EMD), which separates the signal into several Intrinsic Mode Functions (IMFs), is applied for the identification of the dominant LFEOs in a power system. Results of the HMS approach are tested in two examples and compared with the results obtained using the global wavelet spectrum (GWS) approach.

Forecasting PM10 concentrations using neural networks and system for improving air quality

In this paper using Artificial Neural Network (ANN) are presented forecasting results of PM10 concentrations for the city of Sarajevo. Input data of the proposed model are meteorological variables (wind speed, humidity, temperature and pressure) and pollution variable (PM10 concentration) recorded in the Federal Institute for Hydrometeorology from 2010 to 2013. The proposed model is tested on the several cases and the results are satisfactory. The results of the forecasting show the different effects that certain meteorological parameters have on the temporal prediction of concentrations of PM10. It can also be concluded that ANN approach is very useful in terms of the time series forecast the concentrations of PM10 particles with good forecasting results. Also, it is presented the idea of a unified system for air quality improvement, which involves a variety of systemic measures in the areas affected by an increase of PM10 concentrations.