Optimal Power Management Strategy for energy storage with stochastic loads
- Submitting institution
-
University of Portsmouth
- Unit of assessment
- 12 - Engineering
- Output identifier
- 7110924
- Type
- D - Journal article
- DOI
-
10.3390/en9030175
- Title of journal
- Energies
- Article number
- 175
- First page
- -
- Volume
- 9
- Issue
- 3
- ISSN
- 1996-1073
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research was part of EU project SUSPORTS, funded by Climate KIC, involving academic and industrial partners from the UK (University of Reading, CRESS), Spain (Port of Valencia) and the Netherlands (RHDHV). The proposed control approach is predicted to result in energy savings and reduced peak power demand with respect to existing strategies, indicating potential savings for port operators in terms of energy fuel, and maintenance, which can reduce the impact on the environment. The test cycles used corresponds to the real operation of a crane in the Port of Felixstowe and the model was validated using measured data.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
