Publications
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- Gvakharia, A., Kort, E., Brandt, A., Peisch, J., Ryerson, T., Schwarz, J., Smith, M., & Sweeney, C. (2017). Methane, Black Carbon, and Ethane Emissions from Natural Gas Flares in the Bakken Shale, North Dakota. Environmental Science & Technology, 51(9), 5317–5325. https://doi.org/10.1021/acs.est.6b05183
- Tripathi, V., & Brandt, A. (2017). Estimating decades-long trends in petroleum field energy return on investment (EROI) with an engineering-based model. PLoS ONE, 12(2), e0171083. https://doi.org/10.1371/journal.pone.0171083
- Energy Intensity and Greenhouse Gas Emissions from Oil Production in the Eagle Ford Shale. (2017). Energy Fuels, 31(2), 1440–1449. https://doi.org/10.1021/acs.energyfuels.6b02916
- Wang, J., O’Donnell, J., & Brandt, A. (2017). Potential solar energy use in the global petroleum sector. Energy, 118, 884-892. https://doi.org/10.1016/j.energy.2016.10.107
- Ravikumar, A., Wang, J., & Brandt, A. (2016). Are Optical Gas Imaging Technologies Effective For Methane Leak Detection?. Environmental Science & Technology, 51(1), 718–724. https://doi.org/10.1021/acs.est.6b03906
- Cooney, G., Jamieson, M., Marriott, J., Bergerson, J., Brandt, A., & Skone, T. (2016). Updating the U.S. Life Cycle GHG Petroleum Baseline to 2014 with Projections to 2040 Using Open-Source Engineering-Based Models. Environmental Science & Technology, 51(2), 977–987. https://doi.org/10.1021/acs.est.6b02819
- Brandt, A., Yeskoo, T., McNally, M., Vafi, K., Yeh, S., Cai, H., & Wang, M. (2016). Energy Intensity and Greenhouse Gas Emissions from Tight Oil Production in the Bakken Formation. Energy Fuels, 30(11), 9613–9621. https://doi.org/10.1021/acs.energyfuels.6b01907
- Brandt, A., Heath, G., & Cooley, D. (2016). Methane Leaks from Natural Gas Systems Follow Extreme Distributions. Environmental Science & Technology, 50(22), 12512–12520. https://doi.org/10.1021/acs.est.6b04303
- Kang, C., Brandt, A., Durlofsky, L., & Jayaweera, I. (2016). Assessment of advanced solvent-based post-combustion CO2 capture processes using a bi-objective optimization technique. Applied Energy, 179, 1209-1219. https://doi.org/10.1016/j.apenergy.2016.07.062
- Vafi, K., & Brandt, A. (2016). GHGfrack: An open-source model for estimating greenhouse gas emissions from combustion of fuel in drilling and hydraulic fracturing. Environmental Science & Technology, 50(14), 7913–7920. https://doi.org/10.1021/acs.est.6b01940
- Peischl, J., Karion, A., & Sweeney, C. (2016). Quantifying atmospheric methane emissions from oil and natural gas production in the Bakken shale region of North Dakota. JGR Atmospheres, 121(10), 6101-6111. https://doi.org/10.1002/2015JD024631
- Kort, E., Smith, M., Murray, L., Gvakharia, A., Brandt, A., Peischl, J., Ryerson, T., Sweeney, C., & Travis, K. (2016). Fugitive emissions from the Bakken shale illustrate role of shale production in global ethane shift: Ethane Emissions From the Bakken Shale. Geophysical Research Letters, 43(9), 4617-4623. https://doi.org/10.1002/2016GL068703
- Kang, C., Brandt, A., & Durlofsky, L. (2016). A new carbon capture proxy model for optimizing the design and time-varying operation of a coal-natural gas power station. International Journal of Greenhouse Gas Control, 48(2), 234-252. https://doi.org/10.1016/j.ijggc.2015.11.023
- Smith, S., Calbry-Mzyka, A., & Brandt, A. (2016). Improved exergetic life cycle assessment through matrix reduction technique. The International Journal of Life Cycle Assessment, 21, 1379–1390. https://doi.org/10.1007/s11367-016-1118-5
- Kemp, C., Ravikumar, A., & Brandt, A. (2016). Comparing Natural Gas Leakage Detection Technologies Using an Open-Source “Virtual Gas Field” Simulator. Environmental Science & Technology, 50(8), 4546–4553. https://doi.org/10.1021/acs.est.5b06068
- Lyon, D., Alvarez, R., Zavla-Araiza, D., Brandt, A., Jackson, R., & Hamburg, S. (2016). Aerial Surveys of Elevated Hydrocarbon Emissions from Oil and Gas Production Sites. Environmental Science & Technology, 50(9), 4877–4886. https://doi.org/10.1021/acs.est.6b00705
- Wallington, T., Anderson, J., De Kleine, R., Kim, H., Maas, H., Brandt, A., & Keoleian, G. (2016). When Comparing Alternative Fuel-Vehicle Systems, Life Cycle Assessment Studies Should Consider Trends in Oil Production. Journal of Industrial Ecology, 21(2), 244-248. https://doi.org/10.1111/jiec.12418
- Horner, R., Harto, C., Jackson, R., Lowry, E., Yeskoo, T., Murphy, D., & Clark, C. (2016). Water Use and Management in the Bakken Shale Oil Play in North Dakota. Energy & Environmental Science, 50(6), 3275–3282. https://doi.org/10.1021/acs.est.5b04079
- Brandt, A., Sun, Y., Bharadwaj, S., Lvingston, D., Tan, E., & Gordon, D. (2015). Energy Return on Investment (EROI) for Forty Global Oilfields Using a Detailed Engineering-Based Model of Oil Production. PLoS ONE, 10(12), e0144141. https://doi.org/10.1371/journal.pone.0144141
- Brandt, A., Yeskoo, T., & Vafi, K. (2015). Net energy analysis of Bakken crude oil production using a well-level engineering-based model. Energy, 93(2), 2191-2198. https://doi.org/10.1016/j.energy.2015.10.113
2020
Nie, Y., Sun, Y., Chen, Y., Orsini, R., & Brandt, A. (2020). PV power output prediction from sky images using convolutional neural network: The comparison of sky-condition-specific sub-models and an end-to-end model. Journal of Renewable and Sustainable Energy, 12(4), 046101. https://doi.org/10.1063/5.0014016
2019
Ravikumar, A.P., Sreedhara, S., Wang, J., Englander, J., Roda-Stuart, D., Bell, C., Zimmerle, D., Lyon, D., Mogstad, I., Ratner, B. and Brandt, A.R., 2019. Single-blind inter-comparison of methane detection technologies – results from the Stanford/EDF Mobile Monitoring Challenge. Elem Sci Anth, 7(1), p.37. DOI: http://doi.org/10.1525/elementa.373
Sun, Y., Venugopal, V., & Brandt, A. R. (2019). Short-term solar power forecast with deep learning: Exploring optimal input and output configuration. Solar Energy, 188, 730–741. https://doi.org/10.1016/j.solener.2019.06.041
Venugopal, V., Sun, Y., & Brandt, A. R. (2019). Short-term solar PV forecasting using computer vision: The search for optimal CNN architectures for incorporating sky images and PV generation history. Journal of Renewable and Sustainable Energy, 11(6), 066102. https://doi.org/10.1063/1.5122796
Wang, J., Tchapmi, L. P., Ravikumar, A. P., McGuire, M., Bell, C. S., Zimmerle, D., Savarese, S., Brandt, A. R. (2020). Machine vision for natural gas methane emissions detection using an infrared camera. Applied Energy, 257, 113998. DOI: https://doi.org/10.1016/j.apenergy.2019.113998
2018
R.A. Alvarez, D. Zavala-Araiza, D.R. Lyon, D.T. Allen, Z.R. Barkley, A.R. Brandt, K.J. Davis, S.C. Herndon, D.J. Jacob, A. Karion, E.A. Kort, B.K. Lamb, T. Lauvaux, J.D. Maasakkers, A.J. Marchese, M. Omara, S.W. Pacala, J. Peischl, A.L. Robinson, P.B. Shepson, C. Sweeney, A. Townsend-Small, S.C. Wofsy, S.P. Hamburg. Assessment of methane emissions from the U.S. oil and gas supply chain. Science. DOI: 10.1126/science.aar7204
*Brandt, A.R., M.S. Masnadi, J.G. Englander, J.G. Koomey, D. Gordon. Climate-wise oil choices in a world of oil abundance. Environmental Research Letters DOI: 10.1088/1748- 9326/aaae76
*P.G. Brodrick, A.R. Brandt., L.J. Durlofsky. Optimal design and operation of integrated solar combined cycles under emissions intensity constraints. Applied Energy
DOI: 10.1016/j.apenergy.2018.06.052
Englander, J.G.; Brandt, A.R.; Conley, S.; Lyon, D.; Jackson, R.B. (2018). Aerial inter-year comparison and quantification of methane emissions persistence in the Bakken formation of North Dakota, USA. Environmental Science & Technology. DOI: 10.1021/acs.est.8b01665
*Masnadi, M.S., D. Schunack, Y. Li, S.O. Roberts, A.R. Brandt, H.M. El-Houjeiri, S. Przesmitzki, M.Q. Wang. Well-to-refinery emissions and net-energy analysis of China?s crude-oil supply. Nature Energy. DOI: 10.1038/s41560-018-0090-7