Forthcoming Articles

International Journal of Smart Grid and Green Communications

International Journal of Smart Grid and Green Communications (IJSGGC)

Forthcoming articles have been peer-reviewed and accepted for publication 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 Articles will not be published until the final proofs are validated by their authors.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.

Online First articles are also listed here. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They 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 are published online.

International Journal of Smart Grid and Green Communications (2 papers in press)

Regular Issues

  • Simulated and experimental study of the available energy transfer from an EV battery in a V2G system   Order a copy of this article
    by Carlos Armenta-Déu, Fernando De La Malla 
    Abstract: The work focuses on determining the energy transfer from EVs to the grid for different operating conditions. The study simulates a scaled model, validated through experimental tests on batteries of 20 kWh, 40 kWh, 60 kWh, and 80 kWh for EVs energy rates from 130 Wh/km to 180 Wh/km, showing close agreement with accuracy higher than 99.6%. Developed tests evaluate the energy transfer from the driving distance between 2 km and 50 km. Results proved a linear dependence between energy transfer and energy rate. The correlation between experimental and simulated values is 99.6%. The ratio of energy transfer to battery energy capacity depends not only on this latter parameter but also on the energy rate of the electric vehicle. Experimental tests show a variation from a minimum of 37.3% to a maximum of 88.9%, depending on the electric vehicle energy rate, battery energy capacity, and power transfer to the grid rate. The low energy transfer efficiency for the 20 kWh battery case, shows that low energy capacity batteries are unsuitable for energy transfer to the grid.
    Keywords: V2G energy transfer; electric vehicle; battery performance.
    DOI: 10.1504/IJSGGC.2026.10078280
     
  • Technical and feasibility assessment of geothermal energy system: a review   Order a copy of this article
    by Vikas Khare 
    Abstract: The paradigm of geothermal energy systems has gained significant attention in recent years due to its potential as a sustainable and renewable energy source. This paper provides an overview of the current status of geothermal energy, along with various aspects related to its implementation and optimisation. This paper discusses the pre-feasibility assessment of geothermal energy projects. It examines the key considerations in determining geothermal resources viability, including geological surveys, resource estimation, exploration techniques, and risk analysis. This paper also assesses the optimum design and life cycle analysis of geothermal energy systems. From the assessment of different articles, it is identified High-temperature geothermal systems are particularly efficient for power generation, while medium to low-temperature systems (below 150
    Keywords: optimum design; life cycle analysis; economic analysis; optimisation technique; artificial intelligence.
    DOI: 10.1504/IJSGGC.2026.10080478
     

 

Return to top