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Technical Analysis of a Novel Wind-Powered Hydrogen System for Sustainable Development 面向可持续发展的新型风能氢能系统技术分析
IF 0.9
International Journal of Energy Optimization and Engineering Pub Date : 2021-10-01 DOI: 10.4018/ijeoe.2021100104
M. Nedaei
{"title":"Technical Analysis of a Novel Wind-Powered Hydrogen System for Sustainable Development","authors":"M. Nedaei","doi":"10.4018/ijeoe.2021100104","DOIUrl":"https://doi.org/10.4018/ijeoe.2021100104","url":null,"abstract":"In the current analysis, a novel hybrid energy system operating on the basis of wind and hydrogen energy is designed. The simulation-based optimization has indicated the stochastic nature of wind power technology in comparison with hydrogen power specially when being integrated with the transportation network. The multi-criteria decision-making approach in the current analysis has also suggested that, among the examined cases, the most appropriate configuration of the hybrid energy system is leading to optimum levels of wind energy production, fuel flow rate, oxygen, hydrogen utilization, and stack consumption (including air and fuel) with the equivalents of 1,700 kW, 84 lpm, 75%, 717.37 kg/m3, 140 lpm, and 48 lpm, respectively. The maximum net revenues of the entire hybrid system are estimated to be €4,470 per month. It has been concluded that a transportation network fueled by wind and hydrogen systems can lead to a reduced level of environmental footprints.","PeriodicalId":43245,"journal":{"name":"International Journal of Energy Optimization and Engineering","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46071148","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
Modeling the Levelized Cost of Energy for Concentrating Solar Thermal Power Systems Based on a Nonlinear AutoRegressive Neural Network With Exogenous Inputs 基于外输入非线性自回归神经网络的集中太阳能热发电系统平准化能源成本建模
IF 0.9
International Journal of Energy Optimization and Engineering Pub Date : 2021-10-01 DOI: 10.4018/ijeoe.2021100101
N. Filippchenkova
{"title":"Modeling the Levelized Cost of Energy for Concentrating Solar Thermal Power Systems Based on a Nonlinear AutoRegressive Neural Network With Exogenous Inputs","authors":"N. Filippchenkova","doi":"10.4018/ijeoe.2021100101","DOIUrl":"https://doi.org/10.4018/ijeoe.2021100101","url":null,"abstract":"This article presents the results of the development of a mathematical model for predicting the levelized cost of energy (LCOE) for solar concentrating thermal power systems (CSP systems) based on a nonlinear autoregressive neural network with exogenous inputs (NARX). A two-layer NARX network with sigmoid hidden neurons and linear output neurons has been developed. The input layer is made up of the following variables: the volume of input power of CSP systems in the world, the total world energy consumption, domestic energy consumption, domestic gas consumption, domestic consumption of coal and lignite, domestic energy consumption, the share of renewable energy in electricity generation, the share of wind and solar energy in the production of electricity, carbon dioxide emissions from fuel combustion, the price of Brent oil against the US dollar, and the average price for natural gas auctions. The output layer specifies LCOE values for CSP systems.","PeriodicalId":43245,"journal":{"name":"International Journal of Energy Optimization and Engineering","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47413675","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
Modeling of Magnetic Refrigeration Device by Using Artificial Neural Networks Approach 基于人工神经网络的磁制冷装置建模
IF 0.9
International Journal of Energy Optimization and Engineering Pub Date : 2021-10-01 DOI: 10.4018/ijeoe.2021100105
Y. Chiba, Y. Marif, N. Henini, A. Tlemçani
{"title":"Modeling of Magnetic Refrigeration Device by Using Artificial Neural Networks Approach","authors":"Y. Chiba, Y. Marif, N. Henini, A. Tlemçani","doi":"10.4018/ijeoe.2021100105","DOIUrl":"https://doi.org/10.4018/ijeoe.2021100105","url":null,"abstract":"The aim of this work is to use multi-layered perceptron artificial neural networks and multiple linear regressions models to predict the efficiency of the magnetic refrigeration cycle device operating near room temperature. For this purpose, the experimental data collection was used in order to predict coefficient of performance and temperature span for active magnetic refrigeration device. In addition, the operating parameters of active magnetic refrigerator cycle are used for solid magnetocaloric material under application 1.5 T magnetic fields. The obtained results including temperature span and coefficient of performance are presented and discussed.","PeriodicalId":43245,"journal":{"name":"International Journal of Energy Optimization and Engineering","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45559468","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
Research of Solar Energy Potential of Photovoltaic Installations on Enclosing Structures of Buildings 建筑围护结构光伏装置的太阳能潜力研究
IF 0.9
International Journal of Energy Optimization and Engineering Pub Date : 2021-10-01 DOI: 10.4018/ijeoe.2021100102
Y. Daus, V. Kharchenko, I. Yudaev
{"title":"Research of Solar Energy Potential of Photovoltaic Installations on Enclosing Structures of Buildings","authors":"Y. Daus, V. Kharchenko, I. Yudaev","doi":"10.4018/ijeoe.2021100102","DOIUrl":"https://doi.org/10.4018/ijeoe.2021100102","url":null,"abstract":"Under conditions of limited space for the placement of photovoltaic modules, exploitation of rooftop and facade photovoltaic power plants are highly relevant. One of their main advantages is the possibility to integrate them into both existing and new consumer infrastructures, regardless of their configuration, using the building envelope. On the example of the specific tilt angles relative to the horizon of the receiving surfaces of the modules when they are placed on the enclosing structures of the building for southern spatial orientation, analysis of the utilization level of solar energy potential of the region is carried out. The inclination angles of the enclosing structures, which are characterized by the closest electric energy generation to the generation by modules of optimal spatial orientation, are revealed. There were also determined spatial orientations of the enclosing structures, for which the installation of modules of photovoltaic power plants is not recommended.","PeriodicalId":43245,"journal":{"name":"International Journal of Energy Optimization and Engineering","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43891887","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
Techno-Economic Evaluation of Hydrogen Fuel Cell Electricity Generation Based on Anloga (Ghana) Wind Regime 基于安洛加（加纳）风况的氢燃料电池发电技术经济评价
IF 0.9
International Journal of Energy Optimization and Engineering Pub Date : 2021-07-01 DOI: 10.4018/IJEOE.2021070103
A. Acakpovi, P. Adjei, Nana Yaw Asabere, R. Sowah, D. Sackey
{"title":"Techno-Economic Evaluation of Hydrogen Fuel Cell Electricity Generation Based on Anloga (Ghana) Wind Regime","authors":"A. Acakpovi, P. Adjei, Nana Yaw Asabere, R. Sowah, D. Sackey","doi":"10.4018/IJEOE.2021070103","DOIUrl":"https://doi.org/10.4018/IJEOE.2021070103","url":null,"abstract":"This paper assesses the performance of electricity generation using wind/hydrogen/fuel-cell technology. The intermittency of renewables, especially wind, and the need for storage of excess energy make them unattractive for continuous generation of electricity. This paper focuses on the wind resource of Anloga (Ghana) and the potential of hydrogen production from water electrolysis. The assessment of this system covers three main areas including the potential energy generation, environmental impacts, and economic impacts. The paper adopted analytical models of energy generation of fuel cell and hydrogen technologies and further performs their assessment using HOMER software. It was revealed that the annual electricity production from the hydrogen fuel cell is 25,999kW/yr, with an annual capacity shortage of 392kW/yr representing a 10% capacity shortage. The levelized cost of electricity was 0.602$/kWh and the emissions have been completely minimized as compared to diesel generation plants.","PeriodicalId":43245,"journal":{"name":"International Journal of Energy Optimization and Engineering","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44356883","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: 3
Research of Heat Losses of Solar Collectors and Heat Accumulators 太阳能集热器和蓄热器热损失的研究
IF 0.9
International Journal of Energy Optimization and Engineering Pub Date : 2021-07-01 DOI: 10.4018/IJEOE.2021070105
S. Klychev, Sagdulla A. Bakhramov, V. Kharchenko, V. Panchenko
{"title":"Research of Heat Losses of Solar Collectors and Heat Accumulators","authors":"S. Klychev, Sagdulla A. Bakhramov, V. Kharchenko, V. Panchenko","doi":"10.4018/IJEOE.2021070105","DOIUrl":"https://doi.org/10.4018/IJEOE.2021070105","url":null,"abstract":"The article discusses the features of heat losses by convection and radiation of flat solar collectors on the basis of a non-stationary thermal model and program. The connection of heat losses with the generalized heat loss coefficient of solar collectors is shown. The article also deals with the problem of determining the distribution of temperatures and heat losses by convection and radiation of a thermal insulation system – accumulating body (water) for a spherical heat accumulator under symmetric boundary conditions. The problem is solved numerically according to the program developed on the basis of the proposed “gap method.” The method and program for the numerical calculation of heat losses and temperatures in time in a spherical two-layer heat accumulator with symmetric boundary conditions, taking into account both incident and intrinsic radiation, have been developed. The program has been developed for a “long” two-layer cylindrical heat accumulator of solar collectors.","PeriodicalId":43245,"journal":{"name":"International Journal of Energy Optimization and Engineering","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44580958","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
Optimizing Layout of Distributed Generation Sources of Power Supply System of Agricultural Object 农业对象供电系统分布式电源优化布局
IF 0.9
International Journal of Energy Optimization and Engineering Pub Date : 2021-07-01 DOI: 10.4018/IJEOE.2021070104
Y. Daus, V. Kharchenko, I. Yudaev
{"title":"Optimizing Layout of Distributed Generation Sources of Power Supply System of Agricultural Object","authors":"Y. Daus, V. Kharchenko, I. Yudaev","doi":"10.4018/IJEOE.2021070104","DOIUrl":"https://doi.org/10.4018/IJEOE.2021070104","url":null,"abstract":"The increasing penetration of photovoltaic technology calls for the development of an effective method for optimization of grid-connected photovoltaic power plants. Although extensive studies on the definition, implementation, and optimization of these systems have been conducted, the design and management of a smart energy system remains a critical challenge. The purpose of the work is to increase efficiency of power supply system of agricultural facility by optimizing the placement and selection of parameters of photovoltaic sources of distributed generation. Application of photovoltaic sources of distributed generation as part of power supply system of agricultural enterprise allows to reduce the total consumption from the network in average basing on solar intensity data for 22 years by 40-53% from April to October, which is most expedient in view of the fact that this is a period of intensive work of the enterprise and the greatest load on its consumers; by 24-30% in February, March, and October; and by 14-17% the rest of the time.","PeriodicalId":43245,"journal":{"name":"International Journal of Energy Optimization and Engineering","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46622892","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: 2
Global Pandemics on European Electrical Energy Markets 全球大流行病对欧洲电力市场的影响
IF 0.9
International Journal of Energy Optimization and Engineering Pub Date : 2021-07-01 DOI: 10.4018/IJEOE.2021070102
Mariusz Drabecki, Klaudia Kulak
{"title":"Global Pandemics on European Electrical Energy Markets","authors":"Mariusz Drabecki, Klaudia Kulak","doi":"10.4018/IJEOE.2021070102","DOIUrl":"https://doi.org/10.4018/IJEOE.2021070102","url":null,"abstract":"Global pandemics cause crises influencing all branches of economies. Basing on the currently striking COVID-19 pandemic, the authors analyze in this paper to what extent they may impact selected European electrical energy markets. For this, this research performs an empirical survey of the evolution of three market condition indicators: power demand, day-ahead energy prices, and prices of shares of power companies active in the generation sector. These are analyzed on examples of four European countries that all reacted differently to the spreading epidemic at governmental level: Italy, the United Kingdom, Poland, and Sweden. The evolution of indicators is analyzed for the period of COVID-19 outbreak in Europe, from January 27th 2020 until May 27th 2020 and checked with their behaviors in previous periods of time statistically. The study showed that global pandemics may have high impact on power demand and on share prices of power companies. Yet, the impact on day ahead energy prices is less evident and seems not present.","PeriodicalId":43245,"journal":{"name":"International Journal of Energy Optimization and Engineering","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44855937","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
The Politics of Climate Change and the Rising Demand for Global Energy in the 21st Century 气候变化的政治与21世纪全球能源需求的增长
IF 0.9
International Journal of Energy Optimization and Engineering Pub Date : 2021-07-01 DOI: 10.4018/IJEOE.2021070101
Ikedinachi Ayodele Power Wogu, S. Njie, E. O. Ezennwa, Charles Nathaniel Chukwuedo, G. Ukagba, S. Misra, E. Uniamikogbo, E. F. Olu-Owolabi
{"title":"The Politics of Climate Change and the Rising Demand for Global Energy in the 21st Century","authors":"Ikedinachi Ayodele Power Wogu, S. Njie, E. O. Ezennwa, Charles Nathaniel Chukwuedo, G. Ukagba, S. Misra, E. Uniamikogbo, E. F. Olu-Owolabi","doi":"10.4018/IJEOE.2021070101","DOIUrl":"https://doi.org/10.4018/IJEOE.2021070101","url":null,"abstract":"Established that most governments prefer to boost global energy supply because it improves economies and translates to gainful employment for citizens, the rising global demand for energy from various sectors continues to trigger unprecedented consequences on the environment, resulting in hazardous implications. Hence, scientists argue that the rising demand for global energy by industrialized nations increases the vulnerability of persons and polities where these energy and mineral resources abound. Consequently, governments, multinationals, etc. are at a crossroads regarding how best to address this dilemma. Creswell's mix-method research deign and Merlyn's ex-post facto research methods for analyzing qualitative and quantitative data previously obtained from similar studies were used for attaining the objectives of the research. The study identified troubling and high-level politicking at play in most affected countries. Recommendations geared towards addressing the dilemmas emanating from the rising global demand for energy by governments and scholars were proffered.","PeriodicalId":43245,"journal":{"name":"International Journal of Energy Optimization and Engineering","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44869919","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
Forecasting and Technical Comparison of Inflation in Turkey With Box-Jenkins (ARIMA) Models and the Artificial Neural Network 用Box-Jenkins（ARIMA）模型和人工神经网络预测土耳其通货膨胀及其技术比较
IF 0.9
International Journal of Energy Optimization and Engineering Pub Date : 2020-10-01 DOI: 10.4018/ijeoe.2020100106
Erkan Işiğiçok, Ramazan Öz, Savaş Tarkun
{"title":"Forecasting and Technical Comparison of Inflation in Turkey With Box-Jenkins (ARIMA) Models and the Artificial Neural Network","authors":"Erkan Işiğiçok, Ramazan Öz, Savaş Tarkun","doi":"10.4018/ijeoe.2020100106","DOIUrl":"https://doi.org/10.4018/ijeoe.2020100106","url":null,"abstract":"Inflation refers to an ongoing and overall comprehensive increase in the overall level of goods and services price in the economy. Today, inflation, which is attempted to be kept under control by central banks or, in the same way, whose price stability is attempted, consists of continuous price changes that occur in all the goods and services used by the consumers. Undoubtedly, in terms of economy, in addition to the realized inflation, inflation expectations are also gaining importance. This situation requires forecasting the future rates of inflation. Therefore, reliable forecasting of the future rates of inflation in a country will determine the policies to be applied by the decision-makers in the economy. The aim of this study is to predict inflation in the next period based on the consumer price index (CPI) data with two alternative techniques and to examine the predictive performance of these two techniques comparatively. Thus, the first of the two main objectives of the study are to forecast the future rates of inflation with two alternative techniques, while the second is to compare the two techniques with respect to statistical and econometric criteria and determine which technique performs better in comparison. In this context, the 9-month inflation in April-December 2019 was forecast by Box-Jenkins (ARIMA) models and Artificial Neural Networks (ANN), using the CPI data which consist of 207 data from January 2002 to March 2019 and the predictive performance of both techniques was examined comparatively. It was observed that the results obtained from both techniques were close to each other.","PeriodicalId":43245,"journal":{"name":"International Journal of Energy Optimization and Engineering","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/ijeoe.2020100106","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41339957","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: 10
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