Forthcoming articles


International Journal of Renewable Energy Technology


These articles have been peer-reviewed and accepted for publication in IJRET, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.


Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.


Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.


Articles marked with this Open Access icon are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.


Register for our alerting service, which notifies you by email when new issues of IJRET are published online.


We also offer RSS feeds which provide timely updates of tables of contents, newly published articles and calls for papers.


International Journal of Renewable Energy Technology (4 papers in press)


Regular Issues


  • Short term solar energy forecasting using GNN integrated Wavelet based approach   Order a copy of this article
    by Priyanka Chaudhary, Mohammad Rizwan 
    Abstract: The power generation from solar energy is gaining more attention because of advancement in the solar photovoltaic technology including enhanced efficiency of solar cells by incorporating the good materials. In the present scenario the bidding of power is done on 15 minutes basis by many distribution companies. Keeping in mind aforesaid, 15 minutes ahead short term solar energy forecasting has been done and presented. As the power from solar energy is fluctuating and nonlinear in nature, the results obtained from mathematical models are not found satisfactory. Therefore, an intelligent approach based on wavelet transform and generalized neural network (GNN) is developed and applied for the short term solar energy forecasting problem. The results obtained from the proposed model are evaluated on the basis of statistical indicators like root mean square error (RMSE) and mean absolute error (MAE). It is concluded that the performance of the proposed model is found better as compared to GNN model.
    Keywords: Generalized neural network; wavelet transform; grid integrated solar PV systems; solar energy forecasting.

  • Empirical model for prediction of density and water resistance of corn cob briquettes   Order a copy of this article
    by Simeon Jekayinfa, Ralf Pecenka, Ifeolu Orisaleye 
    Abstract: Biomass obtained from agricultural wastes have a high potential for energy generation, particularly in developing countries. The poor properties of the agricultural biomass cause handling problems and limit the suitability as fuel in conventional grates. Densification of biomass into briquettes enhances its fuel properties. In this study, effects of pressure (9, 15 MPa), temperature (90, 120
    Keywords: Biomass briquette; densification variable; corn cob; empirical model; density; water resistance.

Special Issue on: ECRES2018 Advances in Renewable Energy

  • Investigation of the efficiency of a solar dryer with thermal storage by rock salt and by pebble bed   Order a copy of this article
    Abstract: Storage materials by salt rocks and pebbles were introduced in an indirect solar dryer. Experiments were carried out by using rock salt and pebbles (0.076m3) as thermal storage materials. To overcome the thermal behaviour with storage materials, the solar dryer was modelled by SolidWorks flow simulation. Rock layers were arranged as superimposed sphere beds. The maximum reached temperature during the sunny period and the duration of the thermal discharge phase are strongly affected by the location of rocks in the drying chamber. These storage media maintained consistent the drying chamber temperature in the absence of the solar radiation by four more hours. Experimental tests were performed on lemon with and without the storage medium. Finally, the insertion of storage medium could increase the dryer efficiency by about 13.83%. Pebbles seem to be more suitable for thermal storage not for their thermal capacity but especially for their density.
    Keywords: CFD modelling; thermal storage; pebble bed; rock salt; dryer efficiency.

Special Issue on: Sustainable Energy Technologies

    by Vinod Singh Yadav, Dilip Sharma, S.L. Soni 
    Abstract: The refineries turned in a better performance with their cumulative 181 million tones crude throughput, almost 7 per cent more than the previous fiscals achievement and a little over 2 percent of the planned target. The world is presently confronted with the twin crisis of fossil fuel depletion and environmental degradation. Combined residential and commercial energy demand is expected to increase in order to meet the expected increase in electricity demand as the worlds population shall grow and more people shall move to urban areas with access to electricity. The search for an alternative fuel, which promises a pleasant link with sustainable development, energy conservation, management, efficiency, and environmental safeguarding, has become highly noticeable in the present context. rnIn this investigation, fresh air with hydrogen enrichment was used as intake charge in a C. I. engine. Experiments were conducted on a 1-C, 4-S, air-cooled, stationary direct-injection diesel engine (Kirlosker TAF1) with maximum 1500 rpm and maximum 4.4 kW capacity coupled to an electrical generator. The injection timing (17
    Keywords: Hydrogen-Enrichment; Injection timing; Flow rate of hydrogen; Performance.