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Frontiers in Energy

ISSN 2095-1701

ISSN 2095-1698(Online)

CN 11-6017/TK

Postal Subscription Code 80-972

2018 Impact Factor: 1.701

Front. Energy    2017, Vol. 11 Issue (4) : 461-471    https://doi.org/10.1007/s11708-017-0503-5
RESEARCH ARTICLE
Impacts of solar multiple on the performance of direct steam generation solar power tower plant with integrated thermal storage
Yan LUO1, Xiaoze DU2, Lijun YANG2, Chao XU2(), Muhammad AMJAD3
1. School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206; School of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China
2. School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
3. School of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, UK; School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
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Abstract

Solar multiple (SM) and thermal storage capacity are two key design parameters for revealing the performance of direct steam generation (DSG) solar power tower plant. In the case of settled land area, SM and thermal storage capacity can be optimized to obtain the minimum levelized cost of electricity (LCOE) by adjusting the power generation output. Taking the dual-receiver DSG solar power tower plant with a given size of solar field equivalent electricity of 100 MWe in Sevilla as a reference case, the minimum LCOE is 21.77 ¢/kWhe with an SM of 1.7 and a thermal storage capacity of 3 h. Besides Sevilla, two other sites are also introduced to discuss the influence of annual DNI. When compared with the case of Sevilla, the minimum LCOE and optimal SM of the San Jose site change just slightly, while the minimum LCOE of the Bishop site decreases by 32.8% and the optimal SM is reduced to 1.3. The influence of the size of solar field equivalent electricity is studied as well. The minimum LCOE decreases with the size of solar field, while the optimal SM and thermal storage capacity still remain unchanged. In addition, the sensitivity of different investment in sub-system is investigated. In terms of optimal SM and thermal storage capacity, they can decrease with the cost of thermal storage system but increase with the cost of power generation unit.

Keywords direct steam generation      solar power tower      solar multiple      thermal energy storage capacity      levelized cost of electricity (LCOE)     
Corresponding Author(s): Chao XU   
Just Accepted Date: 13 September 2017   Online First Date: 31 October 2017    Issue Date: 14 December 2017
 Cite this article:   
Yan LUO,Xiaoze DU,Lijun YANG, et al. Impacts of solar multiple on the performance of direct steam generation solar power tower plant with integrated thermal storage[J]. Front. Energy, 2017, 11(4): 461-471.
 URL:  
https://academic.hep.com.cn/fie/EN/10.1007/s11708-017-0503-5
https://academic.hep.com.cn/fie/EN/Y2017/V11/I4/461
Parameter Value
Annual DNI/(kWh·m−2) 1773.0
Average ambient temperature/°C 18.4
Average wind velocity/(m·s−1) 2.68
Design time Noon of the spring equinox day
Design DNI/(W·m−2) 840.0
Design ambient temperature/ °C 26.0
Design wind velocity/(m·s−1) 3.0
Tab.1  Meteorologicaldata and design conditions for the site of Sevilla
Fig.1  Schematic diagram of theproposed dual-receiver with solar field
Fig.2  Solar field layout of thedual-receiver
Fig.3  Scheme of DSG solar powertower plant
Fig.4  Operating modes of the solarpower tower plant
Item Cost model
Investment Specific investment in land/($·m−2) 1.25 [27]
Specific investment in improvement/($·m−2) 20 [27]
Specific investment in solar field/($·m−2) 200 [27]
Investment in dual-receiver/$ 66.46×(AR 1440 ) 0.7 [21]
Investment in tower/$ 29.15×(H 203 )0.0113 [27]
Specific investment in thermal storage/($·kWh−2th) 43 [11]
Specific investment in power generationunit/($·kWh−2e) 1000 [26]
Indirect cost for power generationunit/% 25 [26]
Operation and maintenance O&M equipment cost percentageof investment per year/% 1 [18]
Tab.2  Cost models usedfor the economic analysis of the DSG solar power tower
Fig.5  Efficiency matrix of thesolar field
Fig.6  Efficiency matrix of thedual-receiver
Fig.7  Daily performance of DSGsolar power tower for June 19–23 (Electricity power and dual-receiveroutlet power are plotted on the left y-axis, thermal energy stored in the tank is plotted on the right y-axis.)
Fig.8  Variation of annual thermalenergy discard factor with SM and thermal storage capacity
Fig.9  Variation of annual electricityproduction with SM and thermal storage capacity
Fig.10  Variation of annual capacityfactor with SM and thermal storage capacity
Fig.11  Variation of LCOE with SMand thermal storage capacity
San Jose, USA Bishop, USA
Annual DNI/(kWh·m−2) 1952.0 2748.0
Average ambient temperature/°C 14.9 14.3
Average wind velocity/(m·s−1) 3.03 3.45
Design DNI/(W·m−2) 875 904
Design ambient temperature/°C 16.6 16.7
Design wind velocity/(m·s−1) 0.0 3.6
Tab.3  Meteorologicaldata for other sites
Sevilla, Spain San Jose, USA Bishop, USA
Minimum LCOE/(¢·kWh?1e) 21.77 19.57 14.62
Annual electricity production/GWhe 167.64 186.45 272.21
SM 1.7 1.7 1.3
Thermal storage capacity/h 3 3 3
Tab.4  Minimum LCOE andrelated optimal parameters for different sites
Size of solar field equivalent electricity/MWe
50 65 85 100 115 135 150
Minimum LCOE/(¢·kWh?1e) 24.53 23.31 22.25 21.77 21.44 21.15 20.92
Annual electricity production per unit area ofheliostats/(kWhe·m?2) 313.01 309.28 305.24 300.35 296.90 291.08 288.68
SM 1.7 1.7 1.7 1.7 1.7 1.7 1.7
Thermal storage capacity/h 3 3 3 3 3 3 3
Tab.5  Minimum LCOE andrelated optimal parameters for different sizes of solar field equivalentelectricity
Fig.12  Sensitivity analysis of investment
Investment ratio
0.5 0.75 1
Thermal storage system SM 2.7 2.0 1.7
Thermal storage capacity/h 9 6 3
Power generation unit SM 1.3 1.7 1.7
Thermal storage capacity/h 0 3 3
Tab.6  Variation of optimalparameters with investment in thermal storage system and power generationunit
A
H Enthalpy, kJ/kg
H Tower height, m
m Mass flow rate, kg/s
P Pressure, Pa
Q Collected solar energy, MW
T Temperature, °C
V Wind speed, m/s
W Mechanical power exported from theturbine, W
Greek symbols
η Efficiency
Subscript
0 Rated condition
1 Inlet
2 Outlet
c Storage charge
d Storage discharge
g Generator
inc Incident solar energy
o Ambient
p Pump
R Receiver
T Turbine
tes Thermal energy storage system
  
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