Abstract
Demand response (DR) technologies can curtail peak electricity usage, preserve energy conservation and, as well as reduce carbon emission by employing renewable energy sources. This paper presents appliances based home energy consumption scheduling in the framework of demand response technologies. The user behavior is accounted in the form of their daily energy need based on the appliance operation. The renewable energy sources such as solar photovoltaic and fuel cell are considered as generation available at the user homes and can be directed towards a significant reduction in carbon footprints. The energy user also sustains the use of electric vehicle and storage system. A day ahead load scheduling is done to allow the smart charging of electric vehicle and scheduling of smart appliances in order to reduce carbon emission and consumer daily bill benefits by indulging in the programs offered by the load-serving entity. The Simulation results demonstrate a significant reduction of 246.8 lbs in carbon footprints and maximum savings of$ 13.34 on users daily electricity bill when compared with before DR scheduling.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2018 10th International Conference on Information Technology and Electrical Engineering |
| Subtitle of host publication | Smart Technology for Better Society, ICITEE 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 443-448 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538647394 |
| DOIs | |
| Publication status | Published - 13 Nov 2018 |
| Externally published | Yes |
| Event | 10th International Conference on Information Technology and Electrical Engineering, ICITEE 2018 - Bali, Indonesia Duration: 24 Jul 2018 → 26 Jul 2018 |
Publication series
| Name | Proceedings of 2018 10th International Conference on Information Technology and Electrical Engineering: Smart Technology for Better Society, ICITEE 2018 |
|---|
Conference
| Conference | 10th International Conference on Information Technology and Electrical Engineering, ICITEE 2018 |
|---|---|
| Country/Territory | Indonesia |
| City | Bali |
| Period | 24/07/18 → 26/07/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
Keywords
- Carbon emission
- Demand response
- Electric vehicle
- Real time pricing
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Information Systems
- Information Systems and Management
- Electrical and Electronic Engineering
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