Location biased nature of net energy metering

Soham Dutta, Debomita Ghosh, Dusmanta Kumar Mohanta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Net energy metering (NEM) is a substitute for feed-in- tariff (FiT) for the encouragement and advancement of small scale distributed generation, especially in the residential sector. Currently, the applications of NEM are relatively confined but due to active role of many countries, it is gradually acquiring its foothold in the smart grid paradigm. However to make this policy successful in every parts of the world, the policies need to be revised and updated. This paper proposes a model for economic evaluation of net metering environment. Four cases are considered depending on house location considering only roof-top solar generation as renewable energy source. The difference in revenue earned and payback period among the four cases and the location biased nature of net metering are the major findings. The entire simulation is done in MATLAB simulink.

Original languageEnglish
Title of host publication2016 International Conference on Computation of Power, Energy, Information and Communication, ICCPEIC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages350-355
Number of pages6
ISBN (Electronic)9781509009015
DOIs
Publication statusPublished - 31-08-2016
Event5th International Conference on Computation of Power, Energy Information and Communication, ICCPEIC 2016 - Melmaruvathur, Chennai, India
Duration: 20-04-201621-04-2016

Publication series

Name2016 International Conference on Computation of Power, Energy, Information and Communication, ICCPEIC 2016

Conference

Conference5th International Conference on Computation of Power, Energy Information and Communication, ICCPEIC 2016
Country/TerritoryIndia
CityMelmaruvathur, Chennai
Period20-04-1621-04-16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Control and Optimization

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