TY - JOUR
T1 - Thermo-economic Analysis, Optimisation and Systematic Integration of Supercritical Carbon Dioxide Cycle with Sensible Heat Thermal Energy Storage for CSP Application
AU - Thanganadar, Dhinesh
AU - Fornarelli, Francesco
AU - Camporeale, Sergio
AU - Asfand, Faisal
AU - Gillard, Jon
AU - Patchigolla, Kumar
N1 - Funding Information:
The author would like to thank Mr. David Dewis, Principle Consultant at Peregrine Turbine Technologies® for providing constructive feedback on a draft of the paper. This work was supported by the Biomass and Fossil Fuel Research Alliance (BF2RA) under grant 26-sCO 2 for efficient power generation and the Engineering and Physical Sciences Research Council , United Kingdom (EPSRC Grant No: EP/N029429/1 ). This work was co-funded by the Erasmus+ programme of the European Union and under the Programme “Department of Excellence” Legge 232/2016 (Grant No. CUP - D94I18000260001 ). Data underlying this paper can be accessed at https://doi.org/10.17862/cranfield.rd.15156522 .
Publisher Copyright:
© 2021 The Authors
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Integration of thermal energy storage with concentrated solar power (CSP) plant aids in smoothing of the variable energy generation from renewable sources. Supercritical carbon dioxide (sCO2) cycles can reduce the levelised cost of electricity of a CSP plant through its higher efficiency and compact footprint compared to steam-Rankine cycles. This study systematically integrates nine sCO2 cycles including two novel configurations for CSP applications with a two-tank sensible heat storage system using a multi-objective optimisation. The performance of the sCO2 cycles is benchmarked against the thermal performance requirement of an ideal power cycle to reduce the plant overnight capital cost. The impacts of the compressor inlet temperature (CIT) and maximum turbine inlet temperature (TIT) on the cycle selection criteria are discussed. The influence of the cost function uncertainty on the selection of the optimal cycle is analysed using Monte-Carlo simulation. One of the novel cycle configurations (C8) proposed can reduce the overnight capital cost by 10.8% in comparison to a recompression Brayton cycle (C3) for a CIT of 55°C and TIT of 700°C. This work describes design guidelines facilitating the development/ selection of an optimal cycle for a CSP application integrated with two-tank thermal storage.
AB - Integration of thermal energy storage with concentrated solar power (CSP) plant aids in smoothing of the variable energy generation from renewable sources. Supercritical carbon dioxide (sCO2) cycles can reduce the levelised cost of electricity of a CSP plant through its higher efficiency and compact footprint compared to steam-Rankine cycles. This study systematically integrates nine sCO2 cycles including two novel configurations for CSP applications with a two-tank sensible heat storage system using a multi-objective optimisation. The performance of the sCO2 cycles is benchmarked against the thermal performance requirement of an ideal power cycle to reduce the plant overnight capital cost. The impacts of the compressor inlet temperature (CIT) and maximum turbine inlet temperature (TIT) on the cycle selection criteria are discussed. The influence of the cost function uncertainty on the selection of the optimal cycle is analysed using Monte-Carlo simulation. One of the novel cycle configurations (C8) proposed can reduce the overnight capital cost by 10.8% in comparison to a recompression Brayton cycle (C3) for a CIT of 55°C and TIT of 700°C. This work describes design guidelines facilitating the development/ selection of an optimal cycle for a CSP application integrated with two-tank thermal storage.
KW - Thermo-economic Analysis
KW - Supercritical Carbon Dioxide Cycle
KW - Sensible Heat Thermal Energy Storage
UR - http://www.scopus.com/inward/record.url?scp=85113573440&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2021.121755
DO - 10.1016/j.energy.2021.121755
M3 - Article
VL - 238
JO - Energy
JF - Energy
SN - 0360-5442
IS - Part B
M1 - 121755
ER -