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Correction

Correction: Das et al. Comparative Life-Cycle Assessment of Electricity-Generation Technologies: West Texas Case Study. Energies 2024, 17, 992

1
Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX 78712, USA
2
Weir Esco, Portland, OR 97210, USA
3
Fractal Business Analytics LLC, Austin, TX 78735-8004, USA
*
Author to whom correspondence should be addressed.
Energies 2024, 17(10), 2380; https://doi.org/10.3390/en17102380
Submission received: 9 April 2024 / Accepted: 11 April 2024 / Published: 15 May 2024
We discovered a minor mistake in our modeling of the lithium component of the Battery Energy Storage Systems (BESS) that was used in this manuscript [1]. Corrections do not change the overarching discussion or conclusions of our research, but they do slightly alter the relative ranking of impacts associated with wind and solar generation facilities, when BESS is added. We corrected the mistake and recreated figures and tables that included batteries. Below, we provide the updated figures and tables that were found in both the main body of the paper and the supplemental materials. We also updated the description of Figure 4 accordingly (the first three paragraphs of Section 3) as follows:
The detailed LCA results with all 18 impacts on each power plant technology can be found in the Supplementary Materials (Figures S5–S12, Table S2). Here, we compare the five power plant options to answer our first three research questions (per MWh impacts tabulated in Table S3) and we compare environmental impacts (Figure 4) to help answer Q1 and Q2. The results showed that the impacts from CCGT were the highest in fine particulate matter formation, fossil-fuel resource scarcity, global warming potential, ozone formation (both types), terrestrial acidification, and water consumption. Results show that impacts from CCGT were 17–26 times larger for both fossil fuel scarcity and GWP and were 7–13 times larger for ozone formation than those of all other options. Land use for CCGT was double that of wind generation, but about half that of solar, with or without BESS.
In contrast, freshwater ecotoxicity and eutrophication, human carcinogenic toxicity, ionizing radiation, marine ecotoxicity and eutrophication, mineral resource scarcity, and stratospheric ozone depletion from wind and solar facilities (across our system boundaries) were orders of magnitude larger than those of CCGT. The charts for the 18 environmental impacts are shown in Figure 4.
Battery storage, when added and because of current technology and the global supply chain, increases all impacts associated with wind and solar (Q2). Adding BESS to wind increases most impacts by between 40% and 70%. Exceptions on the low end are human carcinogenic toxicity (16%) and land use (15%) and on the high end, terrestrial ecotoxicity (193%) and terrestrial acidification (106%). However, mineral resource scarcity increases by about 1200% because of the mining needed to extract necessary amounts of lithium. Adding BESS to solar leads to a wider range of increases in impact levels, with more than half of the impacts increasing by between 40% and 70% (as in the case of wind). At the low end, land use increases by only 3% and human carcinogenic toxicity only by 18%. At the high end, we observe increases in freshwater ecotoxicity (145%), human non-carcinogenic toxicity (115%), marine ecotoxicity (138%), and terrestrial ecotoxicity (309%). Again, however, mineral resource scarcity increases by almost 1700%.
Also, note a typo in Table 1. Storage capacity should be 500 MW instead of 500 MWh for both Wind + BESS and Solar PV + BESS rows.
Another typo in Page No: 4, Guidi et al. (2023) [24] also conducted a review of LCA studies of power generation systems from around the world published in the past ten years, comparing energy technologies solely by global warming potential. Nuclear and wind had the lowest GHG emissions, followed by hydro, solar, and geothermal. These emissions were 1–2 orders of magnitude lower (instead of larger) than the emissions from thermal plants using coal and natural gas.
Figure 4. Environmental impact comparison for the five electricity-generation options under study.
Figure 4. Environmental impact comparison for the five electricity-generation options under study.
Energies 17 02380 g001aEnergies 17 02380 g001bEnergies 17 02380 g001c
Figure 8. Percentage life-cycle environmental impacts of the WTG and BESS combination, phase wise.
Figure 8. Percentage life-cycle environmental impacts of the WTG and BESS combination, phase wise.
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Figure 9. Percentage life-cycle environmental impacts of the PV and BESS combination, phase wise.
Figure 9. Percentage life-cycle environmental impacts of the PV and BESS combination, phase wise.
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Supplemental Information for Das et al., 2024.
Figure S12. Percentage life cycle phase wise environmental impacts of 1 MWh BESS.
Figure S12. Percentage life cycle phase wise environmental impacts of 1 MWh BESS.
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Table S3. Per MWh environmental impacts for the five electricity generating options.
Table S3. Per MWh environmental impacts for the five electricity generating options.
Reference UnitCCGT-500 MWWind-3MW
(424 Nos)
Solar PV
1435 MW
Wind 3 (424 Nos) MW + BESS 2000 MWh Solar 1435 MW + BESS 2000 MWh
kg PM2.5eqPMFP0.08400.03900.03670.06510.0628
kg oileqFFP130.535.555.197.727.37
kg 1,4-DCBFETP0.0595.6182.3669.0415.789
kg PeqFEP0.00020.01270.01130.01950.0181
kg CO2eqGWP468.5118.2719.6825.8527.26
kg 1,4-DCBHTPc0.628.527.759.929.15
kg 1,4-DCBHTPnc41.04104.9449.21161.77106.04
kBq Co-60eqIRP0.0161.2661.7281.9442.406
m2a cropeqLOP3.751.797.772.058.03
kg 1,4-DCBMETP0.0737.5083.22511.9587.675
kg NeqMEP0.000040.001300.001330.001960.00199
kg CueqSOP0.0190.6190.4428.0077.831
kg NOxeqOFHH0.6460.0500.0540.0770.082
kg NOxeqOFTE0.6510.0530.0570.0800.084
kg CFC11eqODP1.9 × 10−71.1 × 10−58.9 × 10−61.6 × 10−51.3 × 10−5
kg SO2eqTAP0.2460.0700.0780.1440.151
kg 1,4-DCBTETP29.22163.64102.06479.15417.57
m3WCP1.3520.2320.7380.4120.918
Table S7. Per MWh sensitivity of CF to impact pathways of the wind + BESS generation.
Table S7. Per MWh sensitivity of CF to impact pathways of the wind + BESS generation.
Environmental ImpactCF-14%
2819 MW
CF-31%
1273 MW
CF-48%
822 MW
kg PM2.5eqFine particulate matter formation0.110.070.05
kg oil eqFossil resource scarcity14.487.725.76
kg 1,4-DCBFreshwater ecotoxicity15.889.047.05
kg PeqFreshwater eutrophication0.0350.0190.015
kg CO2eqGlobal warming48.0825.8519.38
kg 1,4-DCBHuman carcinogenic toxicity20.299.926.91
kg 1,4-DCBHuman non-carcinogenic toxicity289.48161.77124.65
kBq Co-60 eqIonizing radiation3.491.941.50
m2a crop eqLand use1.450.800.61
kg 1,4-DCBMarine ecotoxicity21.0911.969.30
kg NeqMarine eutrophication0.00350.00200.0015
kg CueqMineral resource scarcity8.768.017.79
kg NOxeqOzone formation, Human health0.140.080.06
kg NOxeqOzone formation, Terrestrial ecosystems0.140.080.06
kg CFC11eqStratospheric ozone depletion2.93 × 10−51.55 × 10−51.15 × 10−5
kg SO2eqTerrestrial acidification0.230.140.12
kg 1,4-DCBTerrestrial ecotoxicity678.29479.15421.26
m3Water consumption0.700.410.33
Table S8. Per MWh sensitivity of CF to impact pathways of the solar PV +BESS generation.
Table S8. Per MWh sensitivity of CF to impact pathways of the solar PV +BESS generation.
Environmental Impact CF-21%
1777 MW
CF-26%
1435 MW
CF-31%
1204 MW
kg PM2.5eqFine particulate matter formation0.0670.0630.060
kg oil eqFossil resource scarcity8.1237.3676.857
kg 1,4-DCBFreshwater ecotoxicity6.0475.7895.616
kg PeqFreshwater eutrophication0.0190.0180.017
kg CO2eqGlobal warming29.79527.25725.543
kg 1,4-DCBHuman carcinogenic toxicity8.6478.4608.334
kg 1,4-DCBHuman non-carcinogenic toxicity109.509106.038103.693
kBq Co-60 eqIonizing radiation2.7532.4062.172
m2a crop eqLand use8.1178.0357.979
kg 1,4-DCBMarine ecotoxicity8.0187.6757.444
kg NeqMarine eutrophication0.0020.0020.002
kg CueqMineral resource scarcity7.8497.8317.819
kg NOxeqOzone formation, Human health0.0890.0820.077
kg NOxeqOzone formation, Terrestrial ecosystems0.0920.0840.079
kg CFC11eqStratospheric ozone depletion1.43 × 10−51.31 × 10−51.23 × 10−5
kg SO2eqTerrestrial acidification0.1620.1510.144
kg 1,4-DCBTerrestrial ecotoxicity425.1417.6412.5
m3Water consumption1.0340.9420.876
We also update the Acknowledgment.
Acknowledgments: The authors acknowledge ongoing feedback and thoughtful discussions with Scott Tinker, Emeritus Director of the Bureau of Economic Geology at University of Texas at Austin; project support by David Chapman; and discussions with CEO graduate students.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Das, J.; Ur Rehman, A.; Verma, R.; Gulen, G.; Young, M.H. Comparative Life-Cycle Assessment of Electricity-Generation Technologies: West Texas Case Study. Energies 2024, 17, 992. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Das, J.; Ur Rehman, A.; Verma, R.; Gulen, G.; Young, M.H. Correction: Das et al. Comparative Life-Cycle Assessment of Electricity-Generation Technologies: West Texas Case Study. Energies 2024, 17, 992. Energies 2024, 17, 2380. https://doi.org/10.3390/en17102380

AMA Style

Das J, Ur Rehman A, Verma R, Gulen G, Young MH. Correction: Das et al. Comparative Life-Cycle Assessment of Electricity-Generation Technologies: West Texas Case Study. Energies 2024, 17, 992. Energies. 2024; 17(10):2380. https://doi.org/10.3390/en17102380

Chicago/Turabian Style

Das, Jani, Atta Ur Rehman, Rahul Verma, Gurcan Gulen, and Michael H. Young. 2024. "Correction: Das et al. Comparative Life-Cycle Assessment of Electricity-Generation Technologies: West Texas Case Study. Energies 2024, 17, 992" Energies 17, no. 10: 2380. https://doi.org/10.3390/en17102380

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