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Frontiers in Energy

ISSN 2095-1701

ISSN 2095-1698(Online)

CN 11-6017/TK

邮发代号 80-972

2019 Impact Factor: 2.657

Frontiers in Energy  2020, Vol. 14 Issue (4): 850-866   https://doi.org/10.1007/s11708-020-0664-5
  本期目录
Viability of a concentrated solar power system in a low sun belt prefecture
Rahul BHATTACHARJEE, Subhadeep BHATTACHARJEE()
Department of Electrical Engineering, National Institute of Technology (NIT), Agartala, Tripura Pin-799046, India
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Abstract

Concentrating solar power (CSP) is considered as a comparatively economical, more efficient, and large capacity type of renewable energy technology. However, CSP generation is found restricted only to high solar radiation belt and installed where high direct normal irradiance is available. This paper examines the viability of the adoption of the CSP system in a low sun belt region with a lower direct normal irradiance (DNI). Various critical analyses and plant economics have been evaluated with a lesser DNI state. The obtained results out of the designed system, subjected to low DNI are not found below par, but comparable to some extent with the performance results of such CSP plants at a higher DNI. The analysis indicates that incorporation of the thermal energy storage reduces the levelized cost of energy (LCOE) and augments the plant capacity factor. The capacity factor, the plant efficiency, and the LCOE are found to be 32.50%, 17.56%, and 0.1952 $/kWh, respectively.

Key wordsconcentrated solar power    direct normal irradiance    plant performance    plant economics    thermal energy storage
收稿日期: 2019-05-25      出版日期: 2020-12-21
Corresponding Author(s): Subhadeep BHATTACHARJEE   
 引用本文:   
. [J]. Frontiers in Energy, 2020, 14(4): 850-866.
Rahul BHATTACHARJEE, Subhadeep BHATTACHARJEE. Viability of a concentrated solar power system in a low sun belt prefecture. Front. Energy, 2020, 14(4): 850-866.
 链接本文:  
https://academic.hep.com.cn/fie/CN/10.1007/s11708-020-0664-5
https://academic.hep.com.cn/fie/CN/Y2020/V14/I4/850
Fig.1  
Parameters Value Parameters Value
Climate date Site latitude/(°) 23.83 Tower and receiver Tower height/m 115
Site longitude/(°) 91.26 Receiver diameter/m 4
Beam radiation (DNI)/ (kWh·(m2·a) –1) 1379.7 Receiver height/m 8
Temperature/°C 25–36 Number of panels 16
Average wind speed/(m·s–1) 2.42 Solar multiplier 2.4
Solar field Heliostat width/m 6 Maximum receiver flux/(kWt·m–2) 1000
Estimated receiver heat loss/(kWt·m–2) 30
Heliostat height/m 6 Receiver flux map resolution 16
Single heliostat aperture area/m2 36 Number of days in flux map lookup 50
Heliostat focusing method Ideal Hourly frequency in flux map lookup/h 2
Heliostat canting method On-axis Minimum receiver turndown fraction 0.25
Non solar field land area/acres 2 Maximum receiver operation fraction 1.2
Solar field land area multiplier 1.2 Receiver startup delay time/h 0.2
Number of heliostats 3128 Receiver startup delay energy fraction 0.25
Total land area/acres 94 Required HTF outlet temperature/°C 565
Thermal energy storage (TES) Full load hours of TES/h 6 Maximum flow rate to receiver/(kg·s–1) 163.62
Receiver design thermal power/MWt 56
Storage tank volume/m3 677 Tube outer diameter/mm 25
Cold tank heater temperature/°C 280 Tube wall thickness/mm 1.25
Tank heater efficiency 0.99 Coating emittance 0.88
Power cycle Turbine gross output/MW 10 Coating absorptance 0.94
Inlet temperature of the HTF/°C 290
Estimated net output at design (nameplate)/MW 8.5 Outlet temperature of the HTF/°C 565
Estimated gross to net conversion factor 0.85 HTF type Salt 60% NaNO340%KNO3
Power cycle technology Rankine cycle System cost Site improvement/($·m–2) 20 [37]
Boiler operating pressure/bar 100
Boiler inlet pressure control Fixed pressure Heliostat field/($·m–2) 200 [37]
Condenser type Air-cooled Balance of plant/($·kWe –1) 420 [23]
Design HTF inlet temperature/°C 290 Power block/($·kWe –1) 550 [23]
Design HTF outlet temperature/°C 565 Storage/($·kWht –1) 30 [23]
Cycle thermal efficiency 0.425 Tower cost/$M 12.8
Receiver cost/$M 13.06
Land cost/($·acre–1) 78050
Tab.1  
Fig.2  
Fig.3  
Fig.4  
Fig.5  
Fig.6  
Fig.7  
Fig.8  
Fig.9  
Fig.10  
Fig.11  
Fig.12  
Fig.13  
Fig.14  
Sl. No. Normalized
parameter
System performance at low DNI values System performance at high DNI values
Obtained value DNI considered in present study CSP technology Value DNI considered in previous studies
/(kWh·(m2·a)–1)
Ref.
1 Plant capacity factor/% 32. 1379.7 kWh/(m2·a) Solar tower power 24 2012 [4]
Parabolic through 21 2725 [4]
Parabolic through 41 2136 [1]
2 Plant efficiency/% 17.56 Solar tower power 13.5 2717 [23]
Solar tower power 38 2012 [45]
Parabolic through 21.3 2248.17 [5]
3 Land demand /(MW·km–2) 26.29 Solar tower power 20 2012 [4]
Parabolic through 47.3 2725 [4]
4 Water usage /(L·(MWhe·a)–1) 276.07 Parabolic through 2678.77 2248.17 [5]
5 Gross-to-net conversion 86.16 Parabolic through 94.2 2248.17 [5]
6 Plant solar-to-electricity conversion (gross) 20.38 Solar tower power 28.72 2,717 [46]
Parabolic through 16 2,136 [47]
7 LCOE /($·kWh–1) 0.1952 Solar tower power 0.14 1884 [1]
Parabolic through 0.15 1884 [1]
Tab.2  
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