
Found an issue? Give us feedback
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
All Research products
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
For further information contact us at helpdesk@openaire.eu
Dynamic energy analysis to assess maximum growth rates in developing power generation capacity: case study of India

Authors: Jyotirmay Mathur; Hermann-Joseph Wagner; N.K. Bansal;
Abstract
Static energy analysis of power generation systems has been very much useful for assessing utility of systems in terms of energy input and output over their lifetime. A method of extending such analysis to cover dynamic implications of energy input and output has been established and demonstrated through this work. The methodology establishes a dynamic balance between energy input as cumulative energy demand for building new systems and output from available power plants that puts a limit on rate of building new plants. Separate analysis of different technologies in Indian context reveals that this maximum growth rate can be as low as 7.24% for mono-crystalline photovoltaic systems and as high as 216.7% for small wind energy systems.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).17 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

Found an issue? Give us feedback
citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
17
Top 10%
Top 10%
Average