Energy Research Journal最新文献

Assessment of Efficient Thermal Conversion Technologies and HHV from Compositional Characteristics of Cassava Peelings, Plantain Peelings and Corn Cobs 从木薯皮、车前草皮和玉米芯组成特征评价高效热转化技术和HHV

Energy Research Journal Pub Date : 2022-01-01 DOI: 10.3844/erjsp.2022.30.41

S. Inna, Oumarou Amadou Amadou, Jiokap Nono Yvette, G. Cârâc, Rodica Dinică Mihaela, K. Richard

引用次数: 2

Optimal Control Strategy for Parallel Fan-Powered VAV Systems 并联风机供电变风量系统的最优控制策略

Energy Research Journal Pub Date : 2022-01-01 DOI: 10.3844/erjsp.2022.1.9

N. Nassif, Iffat Ridwana, M. Tahmasebi, P. Ebrahimi

{"title":"Optimal Control Strategy for Parallel Fan-Powered VAV Systems","authors":"N. Nassif, Iffat Ridwana, M. Tahmasebi, P. Ebrahimi","doi":"10.3844/erjsp.2022.1.9","DOIUrl":"https://doi.org/10.3844/erjsp.2022.1.9","url":null,"abstract":"Corresponding Author: Nabil Nassif Department of Civil and Architectural Engineering and Construction Management, University of Cincinnati, USA Email: nassifnl@ucmail.uc.edu Abstract: ASHRAE Guideline 36 recommends resetting the Supply Air Temperature (SAT) for Variable Air Volume (VAV) systems to balance fan power, heating and cooling loads and zone reheat requirements. This is achieved by employing a trim and response algorithm in conjunction with using the outside air temperature and readings from zone cooling loops. However, resetting the SAT for the VAV systems with parallel fan-powered terminal units according to Guideline 36 recommendations may not produce the best performance. Reducing the reheat requirement in parallel fan-powered terminal units can be done by increasing the air recirculating at the zone level rather than at the system level. This will allow keeping the system level SAT as cold as possible to reduce fan airflow for the zones in cooling with no or little effect on heating requirement for the zones in heating. Therefore, this study evaluates SAT control strategies and fan-powered terminal airflow rates to maximize total energy efficiency. Multiple airflow rate designs and operational variables such as the size of the fan-powered terminal unit and minimum airflow rate set point are included in this study. The simulation results for a typical small commercial building in various locations show that the new resetting method with local zone air recirculation enhancement can significantly reduce fan energy use with little effect on the heating requirement. The result may significantly improve the guideline related to the sequence of operation in a parallel fan-powered terminal unit.","PeriodicalId":274115,"journal":{"name":"Energy Research Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130688175","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

Vertical Axis Marine Current Turbine Modelling 垂直轴海流涡轮模型

Energy Research Journal Pub Date : 2022-01-01 DOI: 10.3844/erjsp.2022.21.29

R. Ramkissoon, K. Manohar

引用次数: 0

Feasibility of Hybrid Neuro-Fuzzy (ANFIS) Machine Learning Model with Classical Multi-Linear Regression (MLR) For the Simulation of Solar Radiation: A Case Study Abuja, Nigeria 基于经典多元线性回归(MLR)的混合神经模糊(ANFIS)机器学习模型在太阳辐射模拟中的可行性:以尼日利亚阿布贾为例

Energy Research Journal Pub Date : 2022-01-01 DOI: 10.3844/erjsp.2022.10.20

N. Gafai, A. T. Belgore

{"title":"Feasibility of Hybrid Neuro-Fuzzy (ANFIS) Machine Learning Model with Classical Multi-Linear Regression (MLR) For the Simulation of Solar Radiation: A Case Study Abuja, Nigeria","authors":"N. Gafai, A. T. Belgore","doi":"10.3844/erjsp.2022.10.20","DOIUrl":"https://doi.org/10.3844/erjsp.2022.10.20","url":null,"abstract":": The extremely variable nature of solar radiation makes it difficult for solar power plants to keep up with predicted power output and demand curves. As a result, solar radiation simulation is crucial to the efficient design, administration, and operation of any solar power plant. With only partially satisfactory results, empirical models have been routinely employed in Nigeria to predict solar radiation from easily measurable environmental characteristics like temperature, humidity and cloud cover. Only a few machine learning models have been used to predict sun radiation in Nigeria, despite the global trend toward machine learning. With almost no published work utilizing Abuja as a case study, machine learning algorithms for simulating sun radiation in Nigeria have not been sufficiently studied. By contrasting the performance of the conventional Multi-Linear Regression (MLR) model with the cutting-edge machine learning model, ANFIS, this study seeks to close this gap and establish which model is more suited and accurate for forecasting solar radiation in Abuja, Nigeria. Data for daily measured climatic variables, such as maximum and minimum temperatures, relative humidity, precipitation, maximum and minimum wind speeds, sunshine hours, and solar radiation were retrieved for this study over ten years from the National Space Research and Development Agency, (NASDRA) Abuja. R, R 2 , RMSE, and MSE were used to simulate and assess the performance of various model combinations throughout both the training and testing stages. When compared to the best MLR model simulation, ANFIS model 8 was shown to generate accurate results.","PeriodicalId":274115,"journal":{"name":"Energy Research Journal","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124401194","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 and Performance Analysis of a Petroleum-Pipeline-Pressure-Boosting Station Powered by Two-Shaft GT Engine 双轴GT发动机石油管道增压站建模与性能分析

Energy Research Journal Pub Date : 2021-01-01 DOI: 10.3844/erjsp.2021.45.55

Y. Najjar, Mohammad Z. M. Yousef, Aad M. A. Al-Mahgari

{"title":"Modeling and Performance Analysis of a Petroleum-Pipeline-Pressure-Boosting Station Powered by Two-Shaft GT Engine","authors":"Y. Najjar, Mohammad Z. M. Yousef, Aad M. A. Al-Mahgari","doi":"10.3844/erjsp.2021.45.55","DOIUrl":"https://doi.org/10.3844/erjsp.2021.45.55","url":null,"abstract":"Corresponding Author: Yousef S. H. Najjar Department of Mechanical Engineering, Jordan University of Science and Technology, Irbid, Jordan Email: y_najjar@hotmail.com Abstract: This study offers modeling and performance analysis of a pressure-boosting station for petroleum pipelines using a sustainable two-shaft GT engine to drive a three-stage centrifugal pump. The modeling is divided into three steps; matching the GT engine components at the maximum efficiency line, matching the pump performance with the requirements of the pipeline system to generate the pump load curve, then matching the pump load curve to the GT engine power-speed curve at the maximum efficiency to study the plant’s overall performance. At design point, the GT engine efficiency was 37.5% while the station net pumping-power output was ~ 2 MW with an overall efficiency of ~ 30% and Specific Fuel Consumption (SFC) of ~ 0.217 kg/kWh. Also, the effect of varying the GT engine compression ratio (rc) on the plant’s performance parameters, i.e., SFC, efficiency and power output were thoroughly examined, revealing that the compressor turbine range was the most limited and that the part-load efficiency of GT engine at 50% power-output loading was 32.2%. Finally, sensitivity analysis was performed to find that for each 10% drop in rc, the station overall efficiency drops by only 6.5%.","PeriodicalId":274115,"journal":{"name":"Energy Research Journal","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125335790","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

Applications of Machine Learning in Building Energy Prediction and Savings 机器学习在建筑能源预测和节约中的应用

Energy Research Journal Pub Date : 2019-03-15 DOI: 10.3844/ERJSP.2019.1.10

Priyan Rai, N. Nassif, K. Eaton, Alexander Rodrigues

{"title":"Applications of Machine Learning in Building Energy Prediction and Savings","authors":"Priyan Rai, N. Nassif, K. Eaton, Alexander Rodrigues","doi":"10.3844/ERJSP.2019.1.10","DOIUrl":"https://doi.org/10.3844/ERJSP.2019.1.10","url":null,"abstract":"In a constantly advancing world with growing needs, buildings play in important role in the daily functioning of the society. Developing more and more advanced techniques to optimize the working of these buildings is highly important for a constant growth. Modern computational techniques have opened doors to create advanced models that can utilize efficient techniques to produce highly accurate results. This paper introduces a model that utilizes machine learning algorithms to predict energy consumption in buildings. Energy data were used from two actual and two simulated buildings to fine tune the models. The model is also compared to a baseline regression model as well as a model based on Artificial Neural Network. The results show that the proposed model performs much better than the other two compared models. The proposed model can be used for many intelligent applications such as measurement and savings verification, optimization, building-energy assessment and fault detection and diagnosis. The models were tested to predict the savings calculations for a simulated building and the results proved the proposed model to be the closest predictor to actual savings.","PeriodicalId":274115,"journal":{"name":"Energy Research Journal","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114395916","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

Performance Assessment of Solar Chimneys: Part 2 – Impacts of Slenderness Value and Collector Slope on Power Output 太阳能烟囱的性能评估:第2部分-长细值和集热器斜率对输出功率的影响

Energy Research Journal Pub Date : 2019-01-01 DOI: 10.3844/ERJSP.2019.20.26

E. Cuce, Pinar Mert Cuce

{"title":"Performance Assessment of Solar Chimneys: Part 2 – Impacts of Slenderness Value and Collector Slope on Power Output","authors":"E. Cuce, Pinar Mert Cuce","doi":"10.3844/ERJSP.2019.20.26","DOIUrl":"https://doi.org/10.3844/ERJSP.2019.20.26","url":null,"abstract":"In the previous part, impacts of chimney height thus pressure difference on the power output of solar chimneys have been numerically evaluated. Within the scope of this research, slenderness and slope of collector are analysed in terms of their potential influence on average velocity of air at the chimney inlet. The analyses are based on a commercial and reliable CFD software ANSYS FLUENT. Chimney height is considered to be 100 m in the research and the chimney diameter is varied through a dimensionless parameter (β). Basically, β is defined as inverse slenderness and its value of 0.1 corresponds to a chimney diameter of 10 m as expected. Average velocity of air at the chimney inlet is numerically assessed for the β values in the range of 0.1-0.5. Collector slope is also investigated in the analyses through a dimensionless parameter (δ). The term δ is defined as the ratio of inlet height of collector to the collector height at the centre. Similarly, average velocity of air at the chimney inlet is determined for the δ values in the range of 0.2-1.0. The analyses are conducted for a constant solar intensity of 200 W/m2. The chimney height at the centre is taken to be 4 m in the slenderness analyses and 10 m in the collector slope assessments. The height of collector inlet is constant and 1 m in the slenderness research. On the other hand, it is varied from 2 to 10 m in the collector slope analyses. The results reveal that the velocity figures exponentially decrease from 15.93 to 11.85 m/s when the β value rises from 0.1 to 0.5. On the contrary, velocity figures increase with increasing δ value, the enhancement is determined to be about 23%.","PeriodicalId":274115,"journal":{"name":"Energy Research Journal","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131889100","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: 7

Investigation on the Performance of Producer Gas Fired Reversible Flat-Bed Dryer 发生炉燃气可逆平板干燥机性能研究

Energy Research Journal Pub Date : 2019-01-01 DOI: 10.3844/erjsp.2019.48.55

W. B. Wincy, M. Edwin, S. Sekhar

引用次数: 1

Implementation of Species-Transport Model in Numerical Simulation to Predict the Performance of Downdraft Gasifier with Biomass Blends 物种迁移模型在生物质混合气下吸式气化炉性能数值模拟中的应用

Energy Research Journal Pub Date : 2019-01-01 DOI: 10.3844/ERJSP.2019.36.47

P. Murugan, G. Prasad, S. Sekhar

{"title":"Implementation of Species-Transport Model in Numerical Simulation to Predict the Performance of Downdraft Gasifier with Biomass Blends","authors":"P. Murugan, G. Prasad, S. Sekhar","doi":"10.3844/ERJSP.2019.36.47","DOIUrl":"https://doi.org/10.3844/ERJSP.2019.36.47","url":null,"abstract":"The demand for energy from biomass gasification is increasing due to the depletion of fossil fuels and serious environmental issues. Due to this, usage of individual biomass in a gasifier is not sufficient to meet the demand in rural areas. However, an enormous study have been reported on the gasifier with single biomass as working fuel. In addition, only a few works have been carried out on biomass blends in a gasifier through equilibrium modelling and experimental approach. The numerical simulation for the biomass blends are in scarce. Hence, in this study, a numerical and experimental studies were conducted on a 40kWth downdraft biomass gasifier to find out the possibility of rubber seed kernel shell and cassava stalk biomass with different blend ratio. The species-transport CFD model is used for numerical simulation with the k-e turbulence model. The effect of species concentration, higher heating value and conversion efficiency with respect to different equivalence ratio have been observed. The simulated results were also validated through experimentation. Among different blending ratio 80:20 blend shows better performance. The result reveals that the species concentration and higher heating value at 0.2 equivalence ratio has an average value of CO-23.5 %, H2-19.2%, CH4-3.1% and 6.62 MJ/Nm3 with an efficiency of 58.23% respectively. The viability of using the species transport model for biomass blends is confirmed.","PeriodicalId":274115,"journal":{"name":"Energy Research Journal","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122654360","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

Performance Assessment of Solar Chimneys: Part I – Impact of Chimney Height on Power Output 太阳能烟囱的性能评估:第一部分-烟囱高度对输出功率的影响

Energy Research Journal Pub Date : 2019-01-01 DOI: 10.3844/ERJSP.2019.11.19

E. Cuce, Pinar Mert Cuceb

{"title":"Performance Assessment of Solar Chimneys: Part I – Impact of Chimney Height on Power Output","authors":"E. Cuce, Pinar Mert Cuceb","doi":"10.3844/ERJSP.2019.11.19","DOIUrl":"https://doi.org/10.3844/ERJSP.2019.11.19","url":null,"abstract":"Solar chimney is a truly sustainable and green energy technology, which is a potential alternative to carbon-based energy economy. The working principle of solar chimneys is based on the buoyant nature of air to turn a turbine that produces electrical power. Solar chimneys are highly in the centre of interest among all solar energy applications since they enable both day and night time operation owing to greenhouse and chimney effects. A typical solar chimney consists of three main parts as chimney, collector and turbine. When the in-situ applications of solar chimneys are gone through, it can be easily asserted that the driving force in electricity generation comes from the chimney effect as a consequence of the notable pressure differences between the inlet and outlet of the chimneys. In most cases, the greenhouse effects on power output are considered auxiliary only due to non-optimised geometric properties for the air medium beneath the collector. Within the scope of this CFD research, the impacts of chimney height on power output of a typical solar chimney are evaluated. A commercial and reliable CFD software ANSYS FLUENT is considered for the numerical analyses. For different chimney heights, the average velocity at the inlet of chimney in which the turbine is placed is determined by applying k-e turbulence model, continuity, momentum and energy equations for a 2D model. The results reveal that there is an exponential relationship between the pressure difference and the average air velocity and the solar chimney is found to be practical after a certain value of chimney height. For a chimney and collector diameter of 10 and 1000 m, respectively, the average velocity at the inlet of chimney is calculated to be 25.17 m/s for a chimney height of 100 m, whereas it is 18.06 m/s for the height of 50 m. The findings are of vital importance in terms of feasibility studies on solar chimneys since they give a clear understanding about the influence of chimney height on the electrical power output of any solar chimney power plant.","PeriodicalId":274115,"journal":{"name":"Energy Research Journal","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130764631","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