Name
Abstract | ||
|---|---|---|
This paper proposes an energy storage system (ESS) management algorithm to reduce the peak electricity consumption for demand response (DR). In a building equipped with an ESS and a photovoltaic generator, the amount of energy charged into the ESS can be used to reduce the peak demand of the following day. The proposed algorithm calculates the feasible amount of peak demand reduction using the information about the amount of net energy demand and the energy charged in ESS, and provides the ESS charging and discharging schedule that can achieve the maximum reduction of the peak demand for DR requests. To examine the performance of the proposed algorithm, a case study was conducted using real-life data measured within a campus building.
|
Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3360322.3360988 | BuildSys '19: The 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
New York
NY
USA
November, 2019 |
Keywords | Field | DocType |
Energy storage system (ESS),demand response (DR),peak reduction,ESS scheduling | Energy storage,Automotive engineering,Computer science,Demand response,Control engineering,Peak demand | Conference |
ISBN | Citations | PageRank |
978-1-4503-7005-9 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hannie Zang | 1 | 0 | 0.34 |
| Sunyong Kim | 2 | 0 | 0.68 |
| Daeyoung Kang | 3 | 0 | 0.34 |
| Hyuk Lim | 4 | 673 | 51.93 |