Abstract
Hydrogen use is dominated by industry, with most hydrogen demand mitigated using fossil fuels; therefore, there is an eminent potential for the reduction of emissions by replacing fossil-derived hydrogen with a renewable hydrogen source. Although the emission reduction by using renewable energy presents a promising potential, its fluctuating nature is still a challenge to be addressed. In this study, considering a battery energy storage system (BESS), a dynamic operation-based techno-economic evaluation of a standalone solar photovoltaic (PV)-powered alkaline water electrolyzer (AWE) was conducted using actual solar data. Different process configurations were designed and simulated to quantify the available potential of a standalone solar-powered hydrogen production system in Korea. Furthermore, economic evaluation metrics, such as levelized cost of hydrogen (LCOH) and Monte Carlo simulation, were used to assess the potential of different configurations under variable market prices and future technology costs to estimate the future potential. The results showed that Case 1 (standalone solar-powered AWE without BESS) offers the lowest LCOH (9.55 $/kg) but with daytime operation only. Meanwhile, Case 4 (standalone solar-powered AWE with BESS) reported the second-lowest LCOH (11.67 $/kg) compared with the other cases. The results also suggested that systems with BESS can increase operational reliability by minimizing operational fluctuations and maximizing operational hours but with a slightly higher LCOH. The conducted sensitivity analysis showed that the technology cost (solar PV, AWE, and BESS) has the highest impact on LCOH, which is promising, in light of the decreasing trend in the future costs of such technologies.
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Abbreviations
- PV:
-
photovoltaic
- AWE:
-
alkaline water electrolyzer
- BESS:
-
battery energy storage system
- LCOH:
-
levelized cost of hydrogen
- GHG:
-
greenhouse gas emissions
- PEM:
-
proton exchange membrane
- SAM:
-
system advisor model
- SOC:
-
state of charge
- Vrev :
-
reversible voltage
- ΔG:
-
Gibbs energy
- z:
-
number of electrons
- F:
-
Faraday’s constant
- Vcell :
-
cell voltage
- Vact :
-
activation voltage
- Vohm :
-
Ohmic overvoltage
- s:
-
coefficient for overvoltage on electrodes [V]
- I:
-
current
- t:
-
coefficient for overvoltage on electrodes [A−1m2]
- A:
-
area of cell
- r:
-
parameter related to ohmic resistance of electrolyte [Ωm2]
- f1 :
-
parameter related to Faraday efficiency [mA2cm−4]
- f2 :
-
parameter related to Faraday efficiency
- T:
-
Temperature [°C]
- η F :
-
Faradays efficiency
- \({\rm{H}}_2^{GEN}\) :
-
hydrogen generation
- nc :
-
number of cells
- η Ele :
-
efficiency of electrolyzer
- P:
-
total power to AWE
- PMIN :
-
minimum required power to AWE
- PMAX :
-
maximum power to AWE
- LHV:
-
lower heating value
- H2Ocons :
-
water consumed
- \({\rm{O}}_2^{GEN}\) :
-
oxygen generated
- Q:
-
volumetric flowrate
- MW:
-
mega watt
- H2OIN :
-
water going in AWE
- H2OOUT :
-
water going out of AWE
- \({\rm{O}}_2^{IN}\) :
-
oxygen going in AWE
- \({\rm{O}}_2^{OUT}\) :
-
oxygen going out of AWE
- \({\rm{H}}_2^{IN}\) :
-
hydrogen going in AWE
- \({\rm{H}}_2^{OUT}\) :
-
hydrogen going out of AWE
- H2OCONS :
-
water consumed
- H2OGEN :
-
water generated
- \({\rm{H}}_2^{STO}\) :
-
hydrogen stored
- PC :
-
charging power of BESS
- PD :
-
discharging power of BESS
- \({{\rm{P}}_{{C_{MIN}}}}\) :
-
minimum charging power of BESS
- \({{\rm{P}}_{{C_{MAX}}}}\) :
-
maximum charging power of BESS
- \({{\rm{P}}_{{D_{MIN}}}}\) :
-
minimum discharging power of BESS
- \({{\rm{P}}_{{D_{MAX}}}}\) :
-
maximum discharging power of BESS
- SOCMIN :
-
minimum state of charge
- SOCMAX :
-
maximum state of charge
- η + :
-
charging efficiency
- η − :
-
discharging efficiency
- t:
-
time
- Ps :
-
solar power
- A/B:
-
spit fractions, A for AWE, B for BESS
- PA :
-
power split to AWE
- PC :
-
power split to BESS
- PX :
-
excess power generated
- CI:
-
cost index
- IRR:
-
internal rate of return
- FCI:
-
fixed capital investment
- TIC:
-
total installed cost
- TLCC:
-
total life cycle cost
- NPVOP :
-
net present value of other products
- D:
-
discount rate
- n:
-
analysis year
- L:
-
analysis period — 30 years
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Acknowledgements
This research was supported through a National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT (2019R1A2C2084709). This work was also supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry, and Energy (MOTIE) of the Republic of Korea (no. 20194010201840).
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Techno-economic feasibility evaluation of a standalone solar-powered alkaline water electrolyzer considering the influence of battery energy storage system: A Korean case study
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Niaz, H., Lakouraj, M.M. & Liu, J. Techno-economic feasibility evaluation of a standalone solar-powered alkaline water electrolyzer considering the influence of battery energy storage system: A Korean case study. Korean J. Chem. Eng. 38, 1617–1630 (2021). https://doi.org/10.1007/s11814-021-0819-z
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DOI: https://doi.org/10.1007/s11814-021-0819-z