2022 Global Energy Conference (GEC)最新文献_第3页

Utilization of Renewable Energy Technologies: School Buildings in Baghdad as a Case Study 可再生能源技术的利用:以巴格达学校建筑为例研究

2022 Global Energy Conference (GEC) Pub Date : 2022-10-26 DOI: 10.1109/GEC55014.2022.9986681

M. Abed

{"title":"Utilization of Renewable Energy Technologies: School Buildings in Baghdad as a Case Study","authors":"M. Abed","doi":"10.1109/GEC55014.2022.9986681","DOIUrl":"https://doi.org/10.1109/GEC55014.2022.9986681","url":null,"abstract":"Recent attention has been focused on solar energy as a sustainable energy source that can be directly converted to electricity using solar panels. Renewable energy sources are becoming more important as a solution to provide clean energy. The power production of photovoltaic (PV) systems is directly proportional to the solar irradiance acquired. Consequently, these panels must be perpendicular to sun irradiation in order to collect the greatest amount of energy. This research aimed to provide a contemporary method for planning and constructing school buildings by analyzing the current condition of electricity consumption and the practicality of investing in renewable energy sources in school buildings. For this reason, a new school building under construction in the city of Baghdad with a total area of around 2000m2 was chosen, and one of the renewable energy sources (PV system) was installed to supply the electric power required to operate the school. The average monthly power usage of different energy users in the school building during January and July that represent various seasons is about (57.1 and 83.6) kWh, respectively. Two scenarios have been analyzed: fixed-angle as well as tracking PV systems that generate electricity at varying tilt angles. Also, the computation of each case's monthly energy output and the annual PV energy production (kWh) are presented. The results show that the annual production of the PV system within the exploited area of the roof of the school building is about (1181.3, 1239.3, and 1225.8) kWh at vertical axis and at inclined axis about(1243.1, 1233.8, and 1184.1)kWh in the case of fixed tilt angle(30°, 45°, and 90°), respectively. Also, the tracking PV system was better than fixed-angle PV systems for energy generation, where the energy output reached about 1284.9 KWh. Thus, school buildings can attain zero building energy consumption. Besides, additional installations of rooftop PV systems provide extra power to offset energy demands.","PeriodicalId":280565,"journal":{"name":"2022 Global Energy Conference (GEC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127480576","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}

引用次数: 0

Portable Solar-Powered Smart System for Reverse Osmosis Process of Drinkable Rainwater 可饮用雨水反渗透处理便携式太阳能智能系统

2022 Global Energy Conference (GEC) Pub Date : 2022-10-26 DOI: 10.1109/GEC55014.2022.9986815

K. M. Kabir, S. Binzaid

引用次数: 0

Metasurface-Based Reflective Type V- and W- Band Polarization Converter for Various Microwave Applications 用于各种微波应用的基于超表面反射型V和W波段偏振变换器

2022 Global Energy Conference (GEC) Pub Date : 2022-10-26 DOI: 10.1109/GEC55014.2022.9987120

Fatih Tutar, M. Kurt, Gökhan Öztürk

引用次数: 1

System Identification and Control of High Voltage Boost Converter 高压升压变换器的系统辨识与控制

2022 Global Energy Conference (GEC) Pub Date : 2022-10-26 DOI: 10.1109/GEC55014.2022.9986621

Sehmus Fidan, Davut Sevim, Emre Erkan

{"title":"System Identification and Control of High Voltage Boost Converter","authors":"Sehmus Fidan, Davut Sevim, Emre Erkan","doi":"10.1109/GEC55014.2022.9986621","DOIUrl":"https://doi.org/10.1109/GEC55014.2022.9986621","url":null,"abstract":"Boost converters have been commonly used for many years. However, a limited number of academic studies have examined high-voltage boost converters, modeling and controller design of which go through a complicated process. To attain the transfer function of boost converters, various methods such as system identification are utilized in addition to mathematical models. Being one of such models, black-box system identification is a mathematical method that measures the input/output values of a system, proposes a model to represent the system, and also enables to propose models such as a transfer function and state space equation, which would represent the dynamic behavior of a boost converter. The input/output data collected from the basic experimental setup (constructed on Simulink) can be employed to find out the coefficients of the transfer function attained from the system identification procedure. The performance of the transfer function models proposed to determine these coefficients could be examined to figure out how well they represent the system. This article proposed the model of black-box system identification to attain the transfer function of the boost converter. It became easy to obtain the controller design for the proposed transfer function after acquiring the system model. Various objective functions were also used to identify the optimal controller parameters, and the controller coefficients were calculated. Last, the feedback control system and the circuit equation models were compared for the model. The comparison indicated that they had similar responses. At this point, the proposed method allowed us to model the system in a very practical way with an accurate experimental setup and facilitated the process of controller design.","PeriodicalId":280565,"journal":{"name":"2022 Global Energy Conference (GEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129971174","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}

引用次数: 1

Optimization Of Electric Vehicle Charging Stations 电动汽车充电站优化

2022 Global Energy Conference (GEC) Pub Date : 2022-10-26 DOI: 10.1109/GEC55014.2022.9987046

M. Tür, Ebru Apaydin

{"title":"Optimization Of Electric Vehicle Charging Stations","authors":"M. Tür, Ebru Apaydin","doi":"10.1109/GEC55014.2022.9987046","DOIUrl":"https://doi.org/10.1109/GEC55014.2022.9987046","url":null,"abstract":"The transportation sector is growing rapidly all over the world. This growth brings with it some problems. The continuous increase in carbon emission and energy consumption in the world is one of these problems. Today, electric vehicles are considered to be the most suitable solution for reducing air pollution and fuel consumption. In order to reduce pollution and global warming in the world, it is of great importance to increase the share of renewable energy in meeting the energy need and to increase the number of electric vehicles in transportation. It is predicted that the number of electric vehicles will increase significantly in the coming years. It is predicted that some problems will arise with the introduction of electric vehicles. With the spread of electric vehicles day by day, the charging systems of these vehicles are also becoming one of the issues that attract attention. It is clear that supplying the energy previously provided with fossil fuels with electrical energy will impose an extraordinary load on the grid. It can be said that this load will directly increase with the increase in the number of electric vehicles and will cause problems in areas where the grid is weak. In this study; how electric vehicles are charged, their integration into the electricity grid and their possible effects on the electricity grid and the optimization of charging stations are discussed.","PeriodicalId":280565,"journal":{"name":"2022 Global Energy Conference (GEC)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130736602","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}

引用次数: 0

Short Term Load Forecasting Using Machine Learning Algorithms: A Case Study in Turkey 使用机器学习算法的短期负荷预测:土耳其的案例研究

2022 Global Energy Conference (GEC) Pub Date : 2022-10-26 DOI: 10.1109/GEC55014.2022.9986779

Mikail Purlu, Cenk Andic, B. Turkay, Ali Ghadiriasl Nobari

引用次数: 2

Distribution network performance enhancement by coordinated operation planning of the RES-ESS pair RES-ESS对协同运行规划提高配电网性能

2022 Global Energy Conference (GEC) Pub Date : 2022-10-26 DOI: 10.1109/GEC55014.2022.9986728

S. Tunçel, A. Şeker, T. Gözel

引用次数: 0

Honey Badger Algorithm for Adjustment of FOPID Controller Adopted in An Automatic Voltage Regulator System 自动调压系统中FOPID控制器的蜜獾算法调整

2022 Global Energy Conference (GEC) Pub Date : 2022-10-26 DOI: 10.1109/GEC55014.2022.9986660

Özay Can, Serdar Ekinci, Davut Izci

引用次数: 1

Optimization of Three Phase Squirrel Cage Induction Motor 三相鼠笼式异步电动机的优化设计

2022 Global Energy Conference (GEC) Pub Date : 2022-10-26 DOI: 10.1109/GEC55014.2022.9986878

Tunahan Sapmaz, Harun Etçi, I. Senol, Y. Oner

引用次数: 1

Machine learning-based wind speed time series analysis 基于机器学习的风速时间序列分析

2022 Global Energy Conference (GEC) Pub Date : 2022-10-26 DOI: 10.1109/GEC55014.2022.9986887

T. Akinci, Oguzhan Topsakal, Andrew Wernerbach

引用次数: 0