2016 7th International Renewable Energy Congress (IREC)最新文献_第9页

An assessment of the potential of solar photovoltaic (PV) application in South Africa 南非太阳能光电(PV)应用潜力评估

2016 7th International Renewable Energy Congress (IREC) Pub Date : 2016-03-22 DOI: 10.1109/IREC.2016.7478917

S. K. Mulaudzi, S. Bull

{"title":"An assessment of the potential of solar photovoltaic (PV) application in South Africa","authors":"S. K. Mulaudzi, S. Bull","doi":"10.1109/IREC.2016.7478917","DOIUrl":"https://doi.org/10.1109/IREC.2016.7478917","url":null,"abstract":"The world benefits greatly from fossil fuel resources with more than 80% of world's energy demand coming from fossil fuels. Proven coal reserves are sufficient for the next 113 years, while natural gas reserve could last up to 55 years. However, given the finite life of these resources and the need to reduce emissions alternative energy resources such as solar, biomass, hydro and wind are suggested as they are clean, abundant and effectively infinite. Solar PV is best known as a method for generating electric power by using solar cells to convert energy from the sun into a flow of electrons. This study was aimed at investigating and establishing the potential of solar PV energy application across South Africa.in different provinces. Moreover, it aimed at assessing the impact of PV efficiency and degradation over number of years. An `Optioneering' approach was used to determine the potential of solar. It is a structured evaluation of the options in support of decision-making. The options (in this case the provinces) were modelled in 3 scenarios with different weights assigned to different key parameters. The Northern Cape Province has the highest solar PV potential for scenarios 1 and 2, followed by the Eastern Cape and Kwazulu Natal Provinces. Nevertheless, Gauteng Province was found to have the highest solar PV potential for scenario 3. The attributes/parameters and their weighting are therefore significant in deciding the location where solar PV plants are to be established. The PV module efficiency is critical in quantifying the potential power output over a certain period of time. The PV efficiency has shown a tendency of declining over time. It has been established that PV degradation occurs at a faster rate than anticipated. This would have dire consequences for the solar PV investment in South Africa.","PeriodicalId":190533,"journal":{"name":"2016 7th International Renewable Energy Congress (IREC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127082974","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

Experimental study of the influence of using a dehumidifier on the moisture content of stored wheat 使用除湿机对储粮小麦含水率影响的实验研究

2016 7th International Renewable Energy Congress (IREC) Pub Date : 2016-03-22 DOI: 10.1109/IREC.2016.7478856

H. Faten, Mami Abdelkader, B. Slah

引用次数: 3

Comparative study of different block location results in a differentially heated cavity 对比研究不同砌块位置产生的不同加热腔体

2016 7th International Renewable Energy Congress (IREC) Pub Date : 2016-03-22 DOI: 10.1109/IREC.2016.7478896

B. Souayeh, N. Ben-Cheikh, B. Ben-Beya

引用次数: 0

A modeling approach to evaluate the performance of a commercial absorption Chiller 商用吸收式制冷机性能评估的建模方法

2016 7th International Renewable Energy Congress (IREC) Pub Date : 2016-03-22 DOI: 10.1109/IREC.2016.7478882

R. Mansouri, R. Ben Jemaa, I. Boukholda, A. Bellagi, M. Bourouis

引用次数: 1

Modeling of monthly global solar radiation in M'sila region (Algeria) M'sila地区(阿尔及利亚)月全球太阳辐射的模拟

2016 7th International Renewable Energy Congress (IREC) Pub Date : 2016-03-22 DOI: 10.1109/IREC.2016.7478875

Ihaddadene Razika, I. Nabila

{"title":"Modeling of monthly global solar radiation in M'sila region (Algeria)","authors":"Ihaddadene Razika, I. Nabila","doi":"10.1109/IREC.2016.7478875","DOIUrl":"https://doi.org/10.1109/IREC.2016.7478875","url":null,"abstract":"The knowledge of solar radiation is important for many applications, especially for solar energy systems. In this study monthly variations of solar radiation of M'sila (a province of Algeria) were examined based on data measured during twenty years (1984-2003). In this paper, a determination of the number of years sufficient to estimate monthly global solar radiation among twenty years was done. Likewise, Weibull, Gamma, Normal, logistic, lognormal and loglogistic functions were used to estimate M'sila monthly solar radiation. In addition these functions were compared with the measured data. The performance of the cited functions were studied using statistical parameters such as correlation coefficient R2, root mean square error (RMSE), mean bias error (MBE) and mean absolute bias error (MABE). According to the results found, we can limit our study concerning the treatment of global solar radiation data, in M'sila region, to fifteen (15) years (from 1984 to 1998) instead of twenty (20) years (from 1984 to 2003). Lognormal distribution is the least favorable one to estimate monthly solar radiation on horizontal surface in M'sila region. In contrast, Weibull distribution is the best one.","PeriodicalId":190533,"journal":{"name":"2016 7th International Renewable Energy Congress (IREC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124727304","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: 6

Study and design of a power management system using two-stage controller for PEM fuel cell vehicles PEM燃料电池汽车两级控制器电源管理系统的研究与设计

2016 7th International Renewable Energy Congress (IREC) Pub Date : 2016-03-22 DOI: 10.1109/IREC.2016.7478904

Saaidy Ramy, A. Hatem, A. Mami

引用次数: 3

Spatial Load Forecast and estimation of the peak electricity demand location for Tafila region 塔菲拉地区电力需求峰值位置的空间负荷预测与估计

2016 7th International Renewable Energy Congress (IREC) Pub Date : 2016-03-22 DOI: 10.1109/IREC.2016.7478906

O. Saraereh, Q. Alsafasfeh, Caisheng Wang

引用次数: 1

Heat and mass transfer in partially blocked Membrane Based Heat Exchanger 部分封闭膜基换热器的传热传质

2016 7th International Renewable Energy Congress (IREC) Pub Date : 2016-03-22 DOI: 10.1109/IREC.2016.7478925

S. Sabek, F. Tiss, R. Chouikh, A. Guizani

引用次数: 1

A review of bop configurations for PEFCs. Experimental study of a suitable topology pefc防喷器配置综述合适拓扑结构的实验研究

2016 7th International Renewable Energy Congress (IREC) Pub Date : 2016-03-22 DOI: 10.1109/IREC.2016.7478915

A. de las Heras, F. Vivas, F. Segura, J. Andújar

引用次数: 2

To predict the impact of passive architecture conditions inside a building using ANN 利用人工神经网络预测建筑物内被动建筑条件的影响

2016 7th International Renewable Energy Congress (IREC) Pub Date : 2016-03-22 DOI: 10.1109/IREC.2016.7478887

R. Gupta, Anu Gupta, Advait Nair

{"title":"To predict the impact of passive architecture conditions inside a building using ANN","authors":"R. Gupta, Anu Gupta, Advait Nair","doi":"10.1109/IREC.2016.7478887","DOIUrl":"https://doi.org/10.1109/IREC.2016.7478887","url":null,"abstract":"The environmental impact of the building industry is significant. The construction industry constitutes a major part of the world's total energy consumption. As a result, building designers have constantly been urged to pay attention to the energy economics of buildings. Green building practices like passive solar building design, advanced construction, and building operation practices have been evolved over the years. Passive solar architecture basically refers the usage of structural and non-structural elements of the building for the comfort conditions with no additional operational costs. It makes the best possible use of the local geographic and climatic conditions. Such measures help in decreasing the operational costs of a building and increasing the thermal comfort of its occupants often leading to enhanced productivity. These energy efficiency measures also improve building marketability as the cost of operation is reduced. The temperature inside a building is one of the factors to identify the comfort level up to a great extent. Hence, it necessary to predict the internal air temperatures of any building. With this study, an attempt has been made at developing mathematical models that could predict the air temperature inside any building. The works attempts the development of a neural network regression tool which can predict the temperature inside a simple construction when fed with various building specifications as input. The results of this Artificial Neural Network were found to be in close agreement with the actual on-site recorded data. This is the first time that ANN is being used for such application. For the purpose of validation and testing, the data recorded for four rooms varying in architectural aspects over the past year have been taken. These recordings were taken on an hourly basis.","PeriodicalId":190533,"journal":{"name":"2016 7th International Renewable Energy Congress (IREC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127288574","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