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 language | English |
|---|---|
| Title of host publication | 2016 International Conference on Computation of Power, Energy, Information and Communication, ICCPEIC 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 350-355 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509009015 |
| DOIs | |
| Publication status | Published - 31-08-2016 |
| Event | 5th International Conference on Computation of Power, Energy Information and Communication, ICCPEIC 2016 - Melmaruvathur, Chennai, India Duration: 20-04-2016 → 21-04-2016 |
Publication series
| Name | 2016 International Conference on Computation of Power, Energy, Information and Communication, ICCPEIC 2016 |
|---|
Conference
| Conference | 5th International Conference on Computation of Power, Energy Information and Communication, ICCPEIC 2016 |
|---|---|
| Country/Territory | India |
| City | Melmaruvathur, Chennai |
| Period | 20-04-16 → 21-04-16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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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