Open Access
| Issue |
E3S Web Conf.
Volume 113, 2019
SUPEHR19 SUstainable PolyEnergy generation and HaRvesting Volume 1
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 6 | |
| Section | Sustainable Power Plants | |
| DOI | https://doi.org/10.1051/e3sconf/201911301004 | |
| Published online | 21 August 2019 | |
- Ministero dello Sviluppo Economico, “National Energy Strategy and Energy Action Plan”, 2017 [Google Scholar]
- B. Nastasi, G. Lo Bisso, 2016, “Hydrogen to link heat and electricity in the transition towards future Smart Energy Systems”, Energy, vol. 110 pp. 5–22 [CrossRef] [Google Scholar]
- N. Troy, D. Flynn, M. OMalley, 2012, “Multi-Mode Operation of Combined-Cycle Gas Turbines With Increasing Wind Penetration”, IEEE Transactions on power systems, vol. 27, pp 484–492 [CrossRef] [Google Scholar]
- Barelli L., Ottaviano A, 2015, “Supercharged gas turbine combined cycle: an improvement in plant flexibility and efficiency”, Energy, vol. 81, pp. 615–626 [CrossRef] [Google Scholar]
- Li D., Hu Y., Li D., Wang J., 2019, “Combined-cycle gas turbine power plant integration with cascaded latent heat thermal storage for fast dynamic responses”, Energy Conversion and Management, vol. 183 pp. 1–13 [Google Scholar]
- Giugno A., Cuneo A., Sorce A., Piantelli L., 2018, “Integration of Heat Pump and Gas Turbine Combined Cycle: layout and market opportunity” IGTC 18, Brussels [Google Scholar]
- McLarty D., Panossian N., Jabbari F., Traverso A., 2019, “Dynamic economic dispatch using complementary quadratic programming”, Energy, vol. 166, pp. 755–764 [CrossRef] [Google Scholar]
- Papadimitriou C.N., Zountouridou E.I., Hatziargyriou N.D., 2015, “Review of hierarchical control in DC microgrids”, Electric Power Systems Research, vol. 122, 159–167 [CrossRef] [Google Scholar]
- Rossi I., Reveillere A., Planchon F., 2018, “Intelligent predictive control of a Pump-Heat Combined Cycle: introduction and first results” IGTC 18, Brussels [Google Scholar]
- Wang L., Young P.C., 2005, “An improved structure for model predictive control using non-minimal state space realization” Journal of process control, vol.16, pp 355–371 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.