Correction: Das et al. Comparative Life-Cycle Assessment of Electricity-Generation Technologies: West Texas Case Study. Energies 2024, 17, 992
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%.
Reference Unit | CCGT-500 MW | Wind-3MW (424 Nos) | Solar PV 1435 MW | Wind 3 (424 Nos) MW + BESS 2000 MWh | Solar 1435 MW + BESS 2000 MWh | |
---|---|---|---|---|---|---|
kg PM2.5eq | PMFP | 0.0840 | 0.0390 | 0.0367 | 0.0651 | 0.0628 |
kg oileq | FFP | 130.53 | 5.55 | 5.19 | 7.72 | 7.37 |
kg 1,4-DCB | FETP | 0.059 | 5.618 | 2.366 | 9.041 | 5.789 |
kg Peq | FEP | 0.0002 | 0.0127 | 0.0113 | 0.0195 | 0.0181 |
kg CO2eq | GWP | 468.51 | 18.27 | 19.68 | 25.85 | 27.26 |
kg 1,4-DCB | HTPc | 0.62 | 8.52 | 7.75 | 9.92 | 9.15 |
kg 1,4-DCB | HTPnc | 41.04 | 104.94 | 49.21 | 161.77 | 106.04 |
kBq Co-60eq | IRP | 0.016 | 1.266 | 1.728 | 1.944 | 2.406 |
m2a cropeq | LOP | 3.75 | 1.79 | 7.77 | 2.05 | 8.03 |
kg 1,4-DCB | METP | 0.073 | 7.508 | 3.225 | 11.958 | 7.675 |
kg Neq | MEP | 0.00004 | 0.00130 | 0.00133 | 0.00196 | 0.00199 |
kg Cueq | SOP | 0.019 | 0.619 | 0.442 | 8.007 | 7.831 |
kg NOxeq | OFHH | 0.646 | 0.050 | 0.054 | 0.077 | 0.082 |
kg NOxeq | OFTE | 0.651 | 0.053 | 0.057 | 0.080 | 0.084 |
kg CFC11eq | ODP | 1.9 × 10−7 | 1.1 × 10−5 | 8.9 × 10−6 | 1.6 × 10−5 | 1.3 × 10−5 |
kg SO2eq | TAP | 0.246 | 0.070 | 0.078 | 0.144 | 0.151 |
kg 1,4-DCB | TETP | 29.22 | 163.64 | 102.06 | 479.15 | 417.57 |
m3 | WCP | 1.352 | 0.232 | 0.738 | 0.412 | 0.918 |
Environmental Impact | CF-14% 2819 MW | CF-31% 1273 MW | CF-48% 822 MW | |
---|---|---|---|---|
kg PM2.5eq | Fine particulate matter formation | 0.11 | 0.07 | 0.05 |
kg oil eq | Fossil resource scarcity | 14.48 | 7.72 | 5.76 |
kg 1,4-DCB | Freshwater ecotoxicity | 15.88 | 9.04 | 7.05 |
kg Peq | Freshwater eutrophication | 0.035 | 0.019 | 0.015 |
kg CO2eq | Global warming | 48.08 | 25.85 | 19.38 |
kg 1,4-DCB | Human carcinogenic toxicity | 20.29 | 9.92 | 6.91 |
kg 1,4-DCB | Human non-carcinogenic toxicity | 289.48 | 161.77 | 124.65 |
kBq Co-60 eq | Ionizing radiation | 3.49 | 1.94 | 1.50 |
m2a crop eq | Land use | 1.45 | 0.80 | 0.61 |
kg 1,4-DCB | Marine ecotoxicity | 21.09 | 11.96 | 9.30 |
kg Neq | Marine eutrophication | 0.0035 | 0.0020 | 0.0015 |
kg Cueq | Mineral resource scarcity | 8.76 | 8.01 | 7.79 |
kg NOxeq | Ozone formation, Human health | 0.14 | 0.08 | 0.06 |
kg NOxeq | Ozone formation, Terrestrial ecosystems | 0.14 | 0.08 | 0.06 |
kg CFC11eq | Stratospheric ozone depletion | 2.93 × 10−5 | 1.55 × 10−5 | 1.15 × 10−5 |
kg SO2eq | Terrestrial acidification | 0.23 | 0.14 | 0.12 |
kg 1,4-DCB | Terrestrial ecotoxicity | 678.29 | 479.15 | 421.26 |
m3 | Water consumption | 0.70 | 0.41 | 0.33 |
Environmental Impact |
CF-21% 1777 MW |
CF-26% 1435 MW |
CF-31% 1204 MW | |
---|---|---|---|---|
kg PM2.5eq | Fine particulate matter formation | 0.067 | 0.063 | 0.060 |
kg oil eq | Fossil resource scarcity | 8.123 | 7.367 | 6.857 |
kg 1,4-DCB | Freshwater ecotoxicity | 6.047 | 5.789 | 5.616 |
kg Peq | Freshwater eutrophication | 0.019 | 0.018 | 0.017 |
kg CO2eq | Global warming | 29.795 | 27.257 | 25.543 |
kg 1,4-DCB | Human carcinogenic toxicity | 8.647 | 8.460 | 8.334 |
kg 1,4-DCB | Human non-carcinogenic toxicity | 109.509 | 106.038 | 103.693 |
kBq Co-60 eq | Ionizing radiation | 2.753 | 2.406 | 2.172 |
m2a crop eq | Land use | 8.117 | 8.035 | 7.979 |
kg 1,4-DCB | Marine ecotoxicity | 8.018 | 7.675 | 7.444 |
kg Neq | Marine eutrophication | 0.002 | 0.002 | 0.002 |
kg Cueq | Mineral resource scarcity | 7.849 | 7.831 | 7.819 |
kg NOxeq | Ozone formation, Human health | 0.089 | 0.082 | 0.077 |
kg NOxeq | Ozone formation, Terrestrial ecosystems | 0.092 | 0.084 | 0.079 |
kg CFC11eq | Stratospheric ozone depletion | 1.43 × 10−5 | 1.31 × 10−5 | 1.23 × 10−5 |
kg SO2eq | Terrestrial acidification | 0.162 | 0.151 | 0.144 |
kg 1,4-DCB | Terrestrial ecotoxicity | 425.1 | 417.6 | 412.5 |
m3 | Water consumption | 1.034 | 0.942 | 0.876 |
Reference
- 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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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
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 StyleDas, 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
APA StyleDas, J., Ur Rehman, A., Verma, R., Gulen, G., & Young, M. H. (2024). Correction: Das et al. Comparative Life-Cycle Assessment of Electricity-Generation Technologies: West Texas Case Study. Energies 2024, 17, 992. Energies, 17(10), 2380. https://doi.org/10.3390/en17102380