Modeling of combined heat and power plant performance with seasonal thermal energy storage

2016 ◽  
Vol 7 ◽  
pp. 13-23 ◽  
Author(s):  
Benjamin McDaniel ◽  
Dragoljub Kosanovic
Keyword(s):  
Energy Storage ◽  
Power Plant ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Combined Heat And Power ◽  
Plant Performance

Combined heat and power plant integrated with mobilized thermal energy storage (M-TES) system

2010 ◽  
Vol 4 (4) ◽  
pp. 469-474 ◽  
Author(s):  
Weilong Wang ◽  
Yukun Hu ◽  
Jinyue Yan ◽  
Jenny Nyström ◽  
Erik Dahlquist
Keyword(s):  
Energy Storage ◽  
Power Plant ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Combined Heat And Power

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

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2733 ◽  
Author(s):  
Roberto Tascioni ◽  
Alessia Arteconi ◽  
Luca Del Zotto ◽  
Luca Cioccolanti
Keyword(s):  
Fuzzy Logic ◽  
Energy Storage ◽  
Power Plant ◽  
Energy Management ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Management Strategy ◽  
Storage System ◽  
Combined Heat And Power ◽  
Energy Management Strategy

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%.

Multiscale Modeling of Power Plant Performance Enhancement Utilizing Asynchronous Cooling With Thermal Energy Storage

2020 ◽  
Vol 142 (5) ◽  
Author(s):  
Lauren Gagnon ◽  
Dre Helmns ◽  
Van P. Carey
Keyword(s):  
Energy Storage ◽  
Power Plant ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Performance Enhancement ◽  
Rankine Cycle ◽  
Plant Performance ◽  
Melt Temperature ◽  
Electricity Cost ◽  
Extraction Period

Abstract This study links a model of thermal energy storage (TES) performance to a subsystem model with heat exchangers that cool down the storage at night; this cool storage is used to precool the air flow for a power plant air-cooled condenser during peak day temperatures. The subsystem model is also computationally linked to a model of Rankine cycle power plant performance to predict additional power the plant could generate due to the additional cooling. The model was used to explore the effects of varying phase change material (PCM) melt temperature and the energy input and rejection control settings with the goal of maximizing efficiency for a 50 MW power plant operating in the desert regions of Nevada for an average summer day. The results suggest that the kWh output of the modeled plant can be increased by up to 3.25% during the heat input/cold extraction period, and a cost analysis estimates that the TES system has the potential to provide additional revenue of up to $686,000 per year, depending on electricity cost and parameter choices.

Plant-wide control of a parabolic trough power plant with thermal energy storage

2014 ◽  
Vol 47 (3) ◽  
pp. 419-425 ◽  
Author(s):  
Michael Jost ◽  
Wolfgang Grote ◽  
Florian Möllenbruck ◽  
Martin Mönnigmann
Keyword(s):  
Energy Storage ◽  
Power Plant ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Parabolic Trough
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