G. Mutani, S. Santantonio, J. Lowitzsch, Lucas Roth, Pasqual Slevec
{"title":"Economic incentives for energy efficiency measures and low-emissions technologies","authors":"G. Mutani, S. Santantonio, J. Lowitzsch, Lucas Roth, Pasqual Slevec","doi":"10.1109/CANDO-EPE51100.2020.9337773","DOIUrl":"https://doi.org/10.1109/CANDO-EPE51100.2020.9337773","url":null,"abstract":"For many years, the European Union has been designing and constantly reformulating various energy policies for the reduction of energy consumption and greenhouse gas (GHGs) emissions in order to contain the effects of climate change. These policies are transposed and expressed in the legislation of each Member State which establishes national objectives and specific intervention measures for the national context. In this work, incentive policies are compared according to the actual state of achievement of defined targets. Following the definition of the criteria for the classification of incentives, the SCORE investment calculator is presented. This online tool compares the economic convenience of different incentive policies and it represents a useful operational tool for the beneficiaries of the investment, but also to verify the effectiveness of the incentive policies themselves and, if necessary, redefine them.","PeriodicalId":201378,"journal":{"name":"2020 IEEE 3rd International Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121272584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predicting COVID-19 (Coronavirus Disease) Outbreak Dynamics Using SIR-based Models: Comparative Analysis of SIRD and Weibull-SIRD","authors":"Ahmad Sedaghat, Amir Mosavi","doi":"10.1109/CANDO-EPE51100.2020.9337791","DOIUrl":"https://doi.org/10.1109/CANDO-EPE51100.2020.9337791","url":null,"abstract":"The SIR type models are built by a set of ordinary differential equations (ODE), which are strongly initial value dependant. To fit multiple biological data with SIR type equations requires fitting coefficients of these equations by an initial guess and applying optimization methods. These coefficients are also extremely initial value-dependent. In the vast publication of these types, we hardly see, among simple to highly complicated SIR type methods, that these methods presented more than a maximum of two biological data sets. We propose a novel method that integrates an analytical solution of the infectious population using Weibull distribution function into any SIR type models. The Weibull-SIRD method has easily fitted 4 set of COVID-19 biological data simultaneously. It is demonstrated that the Weibull-SIRD method predictions for susceptible, infected, recovered, and deceased populations from COVID-19 in Kuwait and UAE are superior compared with SIRD original ODE model. The proposed method here opens doors for new deeper studying of biological dynamic systems with realistic biological data trends than providing some complicated, cumbersome mathematical methods with little insight into biological data's real physics.","PeriodicalId":201378,"journal":{"name":"2020 IEEE 3rd International Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116479094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Three-dimensional determining the midsagittal plane of the facial skull on CBCT volume tomogram","authors":"Z. Markella, Dobai Adrienn, T. Vízkelety","doi":"10.1109/CANDO-EPE51100.2020.9337761","DOIUrl":"https://doi.org/10.1109/CANDO-EPE51100.2020.9337761","url":null,"abstract":"Objective: As the midsagittal plane often plays an important role in presurgical planning, the aim of this study was to create a reliable midsagittal plane of the skull based on three-dimensional database. Methods: Three observers detected 25 cephalometric points on 60 random cone-beam volume tomograms three times. The points were assigned to three groups: 1. paired points of maxillae, 2. paired points of the mandible, 3. unpaired midpoints. The standard deviation of each landmark was calculated and the intra- and inter-examiner reliability was assessed with intraclass correlation coefficient (ICC) and analysis of variance (ANOVA). Three regression planes were created from the points of each group and the most reliable regression plane was determined based on the mean distance of the remaining landmarks from the planes. In the most accurate group we analyzed which combination of three points provide a reliable facial symmetry plane and which points can substitute each other. Results: The ICCs were high≥0.90, the SDs were lower than 2.00 mm except for Arcus Zygomaticus, bilateral Apertura Pyriformis (y, z), Foramen mentale left (x, z) and Crista Galli. The mean distance and SD of the measured points from the regression plane constructed of the unpaired midpoints was the lowest as compared to the plane of mandibular and maxillary points. In this group the following combinations framed the most accurate midsagittal planes: N-S-B, N-S-D, G-S-B and G-S-D. Conclusions: Thanks to the suitable landmarks, a reliable midsagittal plane can be created with this method, even if some landmarks are injured.","PeriodicalId":201378,"journal":{"name":"2020 IEEE 3rd International Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133011357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Sedaghat, Seyed Amir Abbas Oloomi, Mahdi Ashtian Malayer, N. Rezaei, A. Mosavi
{"title":"Coronavirus (COVID-19) Outbreak Prediction Using Epidemiological Models of Richards Gompertz Logistic Ratkowsky and SIRD","authors":"A. Sedaghat, Seyed Amir Abbas Oloomi, Mahdi Ashtian Malayer, N. Rezaei, A. Mosavi","doi":"10.1109/CANDO-EPE51100.2020.9337799","DOIUrl":"https://doi.org/10.1109/CANDO-EPE51100.2020.9337799","url":null,"abstract":"On 30 July 2020, a total number of 301,530 diagnosed COVID-19 cases were reported in Iran, with 261,200 recovered and 16,569 dead. The COVID-19 pandemic started with 2 patients in Qom city in Iran on 20 February 2020. Accurate prediction of the end of the COVID-19 pandemic and the total number of populations affected is challenging. In this study, several widely used models, including Richards, Gompertz, Logistic, Ratkowsky, and SIRD models, are used to project dynamics of the COVID-19 pandemic in the future of Iran by fitting the present and the past clinical data. Iran is the only country facing a second wave of COVID-19 infections, which makes its data difficult to analyze. The present study's main contribution is to forecast the near-future of COVID-19 trends to allow non-pharmacological interventions (NPI) by public health authorities and/or government policymakers. We have divided the COVID-19 pandemic in Iran into two waves, Wave I, from February 20, 2020 to May 4, 2020, and Wave II from May 5, 2020, to the present. Two statistical methods, i.e., Pearson correlation coefficient (R) and the coefficient of determination (R2), are used to assess the accuracy of studied models. Results for Wave I Logistic, Ratkowsky, and SIRD models have correctly fitted COVID-19 data in Iran. SIRD model has fitted the first peak of infection very closely on April 6, 2020, with 34,447 cases (The actual peak day was April 7, 2020, with 30,387 active infected patients) with the re-production number R0=3.95. Results of Wave II indicate that the SIRD model has precisely fitted with the second peak of infection, which was on June 20, 2020, with 19,088 active infected cases compared with the actual peak day on June 21,2020, with 17,644 cases. In Wave II, the re-production number R0=1.45 is reduced, indicating a lower transmission rate. We aimed to provide even a rough project future trends of COVID-19 in Iran for NPI decisions. Between 180,000 to 250,000 infected cases and a death toll of between 6,000 to 65,000 cases are expected in Wave II of COVID-19 in Iran. There is currently no analytical method to project more waves of COVID-19 beyond Wave II.","PeriodicalId":201378,"journal":{"name":"2020 IEEE 3rd International Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114917341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Convergence of Electrical Engineering Disciplines: Lighting and Infocommunication","authors":"P. J. Varga, Tibor Wührl, L. Balázs","doi":"10.1109/CANDO-EPE51100.2020.9337764","DOIUrl":"https://doi.org/10.1109/CANDO-EPE51100.2020.9337764","url":null,"abstract":"Rapid technological changes both in lighting and information and communication technologies opened up new synergies between previously remote disciplines. Drastic decrease in the energy consumption of lighting equipment and increasing throughput capacity of data communication networks enable new, connected lighting applications to be developed. We summarize trends and opportunities in combining lighting systems with wired and wireless communication.","PeriodicalId":201378,"journal":{"name":"2020 IEEE 3rd International Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114950089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Torque Sharing Function Optimization for Extended Speed Range Control in Switched Reluctance Motor Drive","authors":"Fahad Al-Amyal, Laith Al Quraan, L. Számel","doi":"10.1109/CANDO-EPE51100.2020.9337792","DOIUrl":"https://doi.org/10.1109/CANDO-EPE51100.2020.9337792","url":null,"abstract":"Torque sharing function (TSF) is an efficient torque ripple minimization approach in switched reluctance motor (SRM) drives in low and medium speed ranges. In this paper an optimized TSF is presented to enhance the torque profile of SRM over an extended speed range while maintaining an acceptable value of the average output torque. A secondary objective is to minimize the RMS phase current also included in the optimization problem. The control variables are the switch-on angle and the overlap angle. An improved version of the ant colony optimization (ACO) based procedure is employed in this work. Additionally, a highly trusted SRM model is built using finite element method (FEM), this model is then adopted by the optimizer to accurately select the optimal values of the control variables. Simulation is carried out on 4 kW, 1500 rpm, four-phase 8/6 SRM.","PeriodicalId":201378,"journal":{"name":"2020 IEEE 3rd International Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129483516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Welcome to CANDO EPE 2020!","authors":"","doi":"10.1109/cando-epe51100.2020.9337758","DOIUrl":"https://doi.org/10.1109/cando-epe51100.2020.9337758","url":null,"abstract":"","PeriodicalId":201378,"journal":{"name":"2020 IEEE 3rd International Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE)","volume":"23 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120928877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementation of Parallel PSO for Synchronous Constant Current Converter","authors":"Mihnea-Antoniu Covaci, L. Szolga","doi":"10.1109/CANDO-EPE51100.2020.9337798","DOIUrl":"https://doi.org/10.1109/CANDO-EPE51100.2020.9337798","url":null,"abstract":"Nowadays, the most challenging issue for power supplies designers is to build circuits capable of feeding the latest generation of microprocessors and DSP (digital signal processors), since they require a high current density while maintaining a low output voltage. A similar situation can be found when a high-power circuit is necessary to supply a continuous wave infrared laser diode array. This article follows the heuristic optimization and the design of a synchronous DC/DC (Direct Current - Direct Current) closed loop step-down converter in Matlab/Simulink having adjustable parameters for loop coefficients and reactive components, which also allows for using this converter in many other applications.","PeriodicalId":201378,"journal":{"name":"2020 IEEE 3rd International Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133817495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of TCSC on generator operation","authors":"V. Kohan, Zsolt Čonka, M. Kolcun","doi":"10.1109/CANDO-EPE51100.2020.9337797","DOIUrl":"https://doi.org/10.1109/CANDO-EPE51100.2020.9337797","url":null,"abstract":"This paper deals with the research of FACTS devices, specifically TCSC regulators. In the research, the NEPLAN program compiles a mathematical model of the TCSC system for the control of oscillations and the improvement of the dynamic stability of the transmission system. The TCSC element is implemented in the design in two places, namely in stations with generator outlets. The first outlet is the Mochovce nuclear power plant and the second on the outlet line of the Vojany thermal power plant. The height is mainly focused on reducing oscillations in short circuits. The result is the processing of dynamic stability data at a set short circuit with and without a TCSC device, as well as how this affects the CCT (Critical clearing time).","PeriodicalId":201378,"journal":{"name":"2020 IEEE 3rd International Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124452594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modern Induction Machine Control Methods Comparison","authors":"T. Varga, T. Benšić, V. J. Štil, M. Barukčić","doi":"10.1109/CANDO-EPE51100.2020.9337776","DOIUrl":"https://doi.org/10.1109/CANDO-EPE51100.2020.9337776","url":null,"abstract":"Many methods for induction machine control were developed over the years, and each has some advantages over the other. This paper examines Stator Field Oriented Control (S-FOC) and Direct Torque Control with modulated voltage command (DTC-SVM). These methods were selected due to their similar control structure regarding the reference input. It is assumed that S-FOC should have better performance over DTC-SVM due to it's voltage decoupling scheme. After simulations of the induction machine during startup and load, using both control methods, it is concluded that both methods have satisfying performance regarding speed reference tracking, while DTC-SVM has higher torque ripple.","PeriodicalId":201378,"journal":{"name":"2020 IEEE 3rd International Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124855962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}