Next Article in Journal
Life-Cycle Assessment of the Use of Peach Pruning Residues for Electricity Generation
Previous Article in Journal
Improvements on a Sensorless Scheme for a Surface-Mounted Permanent Magnet Synchronous Motor Using Very Low Voltage Injection
Previous Article in Special Issue
Numerical Investigation on a Packed-Bed LHTES System Integrated into a Micro Electrical and Thermal Grid
Open AccessArticle

Fuzzy Logic Energy Management Strategy of a Multiple Latent Heat Thermal Storage in a Small-Scale Concentrated Solar Power Plant

1
DIAEE, Sapienza Università di Roma, 00185 Rome, Italy
2
CREAT, Università Telematica eCampus, 22060 Novedrate, Italy
3
DIISM, Università Politecnica delle Marche, 60131 Ancona, Italy
4
Department of Mechanical Engineering, KU Leuven, B-3000 Leuven, Belgium
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Proceedings of ECOS 2019—The 32nd International conference on efficiency, cost, optimization, simulation and environmental impact of energy systems, 23–28 June, Wroclaw, Poland.
Energies 2020, 13(11), 2733; https://doi.org/10.3390/en13112733
Received: 29 April 2020 / Revised: 21 May 2020 / Accepted: 26 May 2020 / Published: 29 May 2020
Latent heat thermal energy storage (LHTES) systems allow us to effectively store and release the collected thermal energy from solar thermodynamic plants; however, room for improvements exists to increase their efficiency when in operation. For this reason, in this work, a smart management strategy of an innovative LHTES in a micro-scale concentrated solar combined heat and power plant is proposed and numerically investigated. The novel thermal storage system, as designed and built by the partners within the EU funded Innova MicroSolar project, is subdivided into six modules and consists of 3.8 tons of nitrate solar salt kNO3/NaNO3, whose melting temperature is in the range 216 ÷ 223 °C. In this study, the partitioning of the storage system on the performance of the integrated plant is evaluated by applying a smart energy management strategy based on a fuzzy logic approach. Compared to the single thermal energy storage (TES) configuration, the proposed strategy allows a reduction in storage thermal losses and improving of the plant’s overall efficiency especially in periods with limited solar irradiance. The yearly dynamic simulations carried out show that the electricity produced by the combined heat and power plant is increased by about 5%, while the defocus thermal losses in the solar plant are reduced by 30%. View Full-Text
Keywords: fuzzy logic; phase change material energy storage system; micro combined heat and power plant; renewable energy systems; smart management fuzzy logic; phase change material energy storage system; micro combined heat and power plant; renewable energy systems; smart management
Show Figures

Graphical abstract

MDPI and ACS Style

Tascioni, R.; Arteconi, A.; Del Zotto, L.; Cioccolanti, L. Fuzzy Logic Energy Management Strategy of a Multiple Latent Heat Thermal Storage in a Small-Scale Concentrated Solar Power Plant. Energies 2020, 13, 2733.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop