Academic Appointments

Administrative Appointments

  • Assistant Professor, Department of Energy Resources Engineering, Stanford University (2012 - Present)
  • Acting Assistant Professor, Department of Energy Resources Engineering, Stanford University (2009 - 2012)

Honors & Awards

  • Student paper award, United States Association for Energy Economics (2006)

Boards, Advisory Committees, Professional Organizations

  • Science Advisory Panel, Methane Reconciliation Project, National Renewable Energy Laboratory (2015 - Present)
  • Technical steering committee, Independent Review of Well Stimulation, California Council on Science and Technology. (2013 - Present)
  • Technical advisor, California Environmental Protection Agency, Air Resources Board (CARB) - Low Carbon Fuel Standard regulatory proceedings (2011 - Present)
  • Organizing committee, Connecting the Dots: The Energy, Water, Food, Climate Nexus (2013 - 2014)
  • Selection committee, Stanford Interdisciplinary Graduate Fellowship (2012 - 2014)
  • Team leader, Technical review of natural gas leakage, NOVIM (2012 - 2013)
  • Invited speaker:, CERA Week 2012, Houston TX, March 6th, 2012 (2012 - 2012)
  • Invited speaker: EES seminar. November 28th, 2012, University of Calgary, Institute for sustainable energy, environment and economy (ISEEE) (2012 - 2012)
  • Expert testimony, European Commission, Directorate General - Climate. May 27, 2011. (2011 - 2011)
  • Invited speaker, Workshop on Low Carbon Fuel Standards, Victoria, BC, October 12th-13th 2011 (2011 - 2011)
  • Invited speaker, CRC Workshop on life cycle analysis of biofuels. Argonne National Laboratory, October 17th, 2011 (2011 - 2011)
  • Invited speaker, Center for European Policy Studies, Brussels, Belgium. March 21st, 2011 (2011 - 2011)
  • Technical advisor, European Union, DG Climate - Fuel Quality Directive regulatory proceedings (2010 - 2011)
  • Invited Speaker, SLAC National Accelerator Laboratory, February 1st, 2010 (2010 - 2010)
  • Search committee, GCEP post-doctoral scholars (2010 - 2010)
  • Invited Speaker, Energy, Environment and Society Speaker Series, Humboldt State University, CA, April 2009 (2009 - 2009)
  • Invited Speaker, Stanford University, Stanford Energy Seminar, September 23rd, 2009 (2009 - 2009)
  • Invited Speaker, Department of Energy Resources Engineering, Stanford University, CA, December 2007 (2007 - 2007)

Professional Education

  • Ph.D., University of California, Berkeley, Energy and Resources (2008)
  • M.S., University of California, Berkeley, Energy and Resources (2005)
  • B.S., University of California, Santa Barbara, Environmental Studies, emphasis Physics (2003)

Current Research and Scholarly Interests

I am interested in reducing the environmental impacts of energy systems. More specifically, I focus on understanding, measuring, and reducing greenhouse gas (GHG) emissions from fossil energy sources. Reducing GHG emissions from fossil fuels is important because fossil energy sources will continue to be key components of our energy system for decades to come.

My research in this area uses the tools of life cycle assessment (LCA) and process optimization to measure and estimate impacts from technologies at broad scales (LCA) and to help reduce these impacts (optimization). Applications include reducing GHG emissions from transportation energy supply and from power systems through CCS.

Through my teaching, I aim to help train the next generation of energy professionals to: optimize energy systems so as to improve their efficiency; rigorously account for the environmental impacts of energy sources; and think critically about systems-scale phenomena in energy production and consumption

2014-15 Courses

Postdoctoral Advisees

Journal Articles

  • Uncertainty in Regional-Average Petroleum GHG Intensities: Countering Information Gaps with Targeted Data Gathering. Environmental science & technology Brandt, A. R., Sun, Y., Vafi, K. 2015; 49 (1): 679-686


    Recent efforts to model crude oil production GHG emissions are challenged by a lack of data. Missing data can affect the accuracy of oil field carbon intensity (CI) estimates as well as the production-weighted CI of groups ("baskets") of crude oils. Here we use the OPGEE model to study the effect of incomplete information on the CI of crude baskets. We create two different 20 oil field baskets, one of which has typical emissions and one of which has elevated emissions. Dispersion of CI estimates is greatly reduced in baskets compared to single crudes (coefficient of variation = 0.2 for a typical basket when 50% of data is learned at random), and field-level inaccuracy (bias) is removed through compensating errors (bias of ∼5% in above case). If a basket has underlying characteristics significantly different than OPGEE defaults, systematic bias is introduced through use of defaults in place of missing data. Optimal data gathering strategies were found to focus on the largest 50% of fields, and on certain important parameters for each field. Users can avoid bias (reduced to <1 gCO2/MJ in our elevated emissions basket) through strategies that only require gathering ∼10-20% of input data.

    View details for DOI 10.1021/es505376t

    View details for PubMedID 25517046

  • Optimization of carbon-capture-enabled coal-gas-solar power generation Energy Brodrick, P. G., Kang, C. A., Brandt, A. R., Durlofsky, L. J. 2015; 79: 149-162
  • Optimizing heat integration in a flexible coal-natural gas power station with CO2 capture INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL Kang, C. A., Brandt, A. R., Durlofsky, L. J. 2014; 31: 138-152
  • Reproducibility of LCA Models of Crude Oil Production ENVIRONMENTAL SCIENCE & TECHNOLOGY Vafi, K., Brandt, A. R. 2014; 48 (21): 12978-12985

    View details for DOI 10.1021/es501847p

    View details for Web of Science ID 000344449100060

  • Uncertainty of Oil Field GHG Emissions Resulting from Information Gaps: A Monte Carlo Approach. Environmental science & technology Vafi, K., Brandt, A. R. 2014; 48 (17): 10511-10518


    Regulations on greenhouse gas (GHG) emissions from liquid fuel production generally work with incomplete data about oil production operations. We study the effect of incomplete information on estimates of GHG emissions from oil production operations. Data from California oil fields are used to generate probability distributions for eight oil field parameters previously found to affect GHG emissions. We use Monte Carlo (MC) analysis on three example oil fields to assess the change in uncertainty associated with learning of information. Single factor uncertainties are most sensitive to ignorance about water-oil ratio (WOR) and steam-oil ratio (SOR), resulting in distributions with coefficients of variation (CV) of 0.1-0.9 and 0.5, respectively. Using a combinatorial uncertainty analysis, we find that only a small number of variables need to be learned to greatly improve on the accuracy of MC mean. At most, three pieces of data are required to reduce bias in MC mean to less than 5% (absolute). However, the parameters of key importance in reducing uncertainty depend on oil field characteristics and on the metric of uncertainty applied. Bias in MC mean can remain after multiple pieces of information are learned, if key pieces of information are left unknown.

    View details for DOI 10.1021/es502107s

    View details for PubMedID 25110115

  • Energy and environment. Methane leaks from North American natural gas systems. Science Brandt, A. R., Heath, G. A., Kort, E. A., O'Sullivan, F., Pétron, G., Jordaan, S. M., Tans, P., Wilcox, J., Gopstein, A. M., Arent, D., Wofsy, S., Brown, N. J., Bradley, R., Stucky, G. D., EARDLEY, D., Harriss, R. 2014; 343 (6172): 733-735

    View details for DOI 10.1126/science.1247045

    View details for PubMedID 24531957

  • A better currency for investing in a sustainable future Nature Climate Change Carbajales-Dale, M., Barnhart, C. J., Brandt, A. R., Benson, S. M. 2014; 4 (7): 524-527

    View details for DOI 10.1038/nclimate2285

  • Ensuring benefits from North American shale gas development: Towards a research agenda Journal of Unconventional Oil and Gas Resources Bazilian, M., Brandt, A. R., Billman, L., Heath, G., Logan, J., Mann, M., Melaina, M., Statwick, P., Arent, D., Benson, S. M. 2014; 7: 71–74
  • Oil Sands Energy Intensity Analysis for GREET Model Update Technical Report, Argonne National Laboratory Englander, J. G., Brandt, A. R. 2014
  • Calculating systems-scale energy efficiency and net energy returns: A bottom-up matrix-based approach ENERGY Brandt, A. R., Dale, M., Barnhart, C. J. 2013; 62: 235-247
  • The energetic implications of curtailing versus storing solar- and wind-generated electricity ENERGY & ENVIRONMENTAL SCIENCE Barnhart, C. J., Dale, M., Brandt, A. R., Benson, S. M. 2013; 6 (10): 2804-2810

    View details for DOI 10.1039/c3ee41973h

    View details for Web of Science ID 000325765100002

  • Historical trends in greenhouse gas emissions of the Alberta oil sands (1970-2010) ENVIRONMENTAL RESEARCH LETTERS Englander, J. G., Bharadwaj, S., Brandt, A. R. 2013; 8 (4)
  • Peak Oil Demand: The Role of Fuel Efficiency and Alternative Fuels in a Global Oil Production Decline ENVIRONMENTAL SCIENCE & TECHNOLOGY Brandt, A. R., Millard-Ball, A., Ganser, M., Gorelick, S. M. 2013; 47 (14): 8031-8041


    Some argue that peak conventional oil production is imminent due to physical resource scarcity. We examine the alternative possibility of reduced oil use due to improved efficiency and oil substitution. Our model uses historical relationships to project future demand for (a) transport services, (b) all liquid fuels, and (c) substitution with alternative energy carriers, including electricity. Results show great increases in passenger and freight transport activity, but less reliance on oil. Demand for liquids inputs to refineries declines significantly after 2070. By 2100 transport energy demand rises >1000% in Asia, while flattening in North America (+23%) and Europe (-20%). Conventional oil demand declines after 2035, and cumulative oil production is 1900 Gbbl from 2010 to 2100 (close to the U.S. Geological Survey median estimate of remaining oil, which only includes projected discoveries through 2025). These results suggest that effort is better spent to determine and influence the trajectory of oil substitution and efficiency improvement rather than to focus on oil resource scarcity. The results also imply that policy makers should not rely on liquid fossil fuel scarcity to constrain damage from climate change. However, there is an unpredictable range of emissions impacts depending on which mix of substitutes for conventional oil gains dominance-oil sands, electricity, coal-to-liquids, or others.

    View details for DOI 10.1021/es401419t

    View details for Web of Science ID 000322059800058

    View details for PubMedID 23697883

  • CO2 Mitigation Potential of Mineral Carbonation with Industrial Alkalinity Sources in the United States ENVIRONMENTAL SCIENCE & TECHNOLOGY Kirchofer, A., Becker, A., Brandt, A., Wilcox, J. 2013; 47 (13): 7548-7554


    The availability of industrial alkalinity sources is investigated to determine their potential for the simultaneous capture and sequestration of CO2 from point-source emissions in the United States. Industrial alkalinity sources investigated include fly ash, cement kiln dust, and iron and steel slag. Their feasibility for mineral carbonation is determined by their relative abundance for CO2 reactivity and their proximity to point-source CO2 emissions. In addition, the available aggregate markets are investigated as possible sinks for mineral carbonation products. We show that in the U.S., industrial alkaline byproducts have the potential to mitigate approximately 7.6 Mt CO2/yr, of which 7.0 Mt CO2/yr are CO2 captured through mineral carbonation and 0.6 Mt CO2/yr are CO2 emissions avoided through reuse as synthetic aggregate (replacing sand and gravel). The emission reductions represent a small share (i.e., 0.1%) of total U.S. CO2 emissions; however, industrial byproducts may represent comparatively low-cost methods for the advancement of mineral carbonation technologies, which may be extended to more abundant yet expensive natural alkalinity sources.

    View details for DOI 10.1021/es4003982

    View details for Web of Science ID 000321521400100

  • The energy efficiency of oil sands extraction: Energy return ratios from 1970 to 2010 ENERGY Brandt, A. R., Englander, J., Bharadwaj, S. 2013; 55: 693-702
  • Open-Source LCA Tool for Estimating Greenhouse Gas Emissions from Crude Oil Production Using Field Characteristics ENVIRONMENTAL SCIENCE & TECHNOLOGY El-Houjeiri, H. M., Brandt, A. R., Duffy, J. E. 2013; 47 (11): 5998-6006


    Existing transportation fuel cycle emissions models are either general and calculate nonspecific values of greenhouse gas (GHG) emissions from crude oil production, or are not available for public review and auditing. We have developed the Oil Production Greenhouse Gas Emissions Estimator (OPGEE) to provide open-source, transparent, rigorous GHG assessments for use in scientific assessment, regulatory processes, and analysis of GHG mitigation options by producers. OPGEE uses petroleum engineering fundamentals to model emissions from oil and gas production operations. We introduce OPGEE and explain the methods and assumptions used in its construction. We run OPGEE on a small set of fictional oil fields and explore model sensitivity to selected input parameters. Results show that upstream emissions from petroleum production operations can vary from 3 gCO2/MJ to over 30 gCO2/MJ using realistic ranges of input parameters. Significant drivers of emissions variation are steam injection rates, water handling requirements, and rates of flaring of associated gas.

    View details for DOI 10.1021/es304570m

    View details for Web of Science ID 000320097400062

    View details for PubMedID 23634761

  • Using Infrastructure Optimization to Reduce Greenhouse Gas Emissions from Oil Sands Extraction and Processing ENVIRONMENTAL SCIENCE & TECHNOLOGY Middleton, R. S., Brandt, A. R. 2013; 47 (3): 1735-1744


    The Alberta oil sands are a significant source of oil production and greenhouse gas emissions, and their importance will grow as the region is poised for decades of growth. We present an integrated framework that simultaneously considers economic and engineering decisions for the capture, transport, and storage of oil sands CO(2) emissions. The model optimizes CO(2) management infrastructure at a variety of carbon prices for the oil sands industry. Our study reveals several key findings. We find that the oil sands industry lends itself well to development of CO(2) trunk lines due to geographic coincidence of sources and sinks. This reduces the relative importance of transport costs compared to nonintegrated transport systems. Also, the amount of managed oil sands CO(2) emissions, and therefore the CCS infrastructure, is very sensitive to the carbon price; significant capture and storage occurs only above 110$/tonne CO(2) in our simulations. Deployment of infrastructure is also sensitive to CO(2) capture decisions and technology, particularly the fraction of capturable CO(2) from oil sands upgrading and steam generation facilities. The framework will help stakeholders and policy makers understand how CCS infrastructure, including an extensive pipeline system, can be safely and cost-effectively deployed.

    View details for DOI 10.1021/es3035895

    View details for Web of Science ID 000314675500071

    View details for PubMedID 23276202

  • Historical trends in life-cycle greenhouse gas emissions of Alberta oil sands extraction from 1970 to 2010: Causes and implications for future emissions Environmental Research Letters Englander, J., Brandt, A. R., Bharadwaj, S. 2013; 8 (4): 44036
  • Assessing the Potential of Mineral Carbonation with Industrial Alkalinity Sources in the US GHGT-11 Kirchofer, A., Brandt, A., Krevor, S., Prigiobbe, V., Becker, A., Wilcox, J. 2013; 37: 5858-5869
  • Estimating greenhouse gas (GHG) emissions from oil production operations using detailed field characteristics Environmental Science & Technology El-Houjeiri, H. M., Brandt, A. R. 2013

    View details for DOI 10.1021/es304570m

  • Impact of alkalinity sources on the life-cycle energy efficiency of mineral carbonation technologies ENERGY & ENVIRONMENTAL SCIENCE Kirchofer, A., Brandt, A., Krevor, S., Prigiobbe, V., Wilcox, J. 2012; 5 (9): 8631-8641

    View details for DOI 10.1039/c2ee22180b

    View details for Web of Science ID 000307595000022

  • Variability and Uncertainty in Life Cycle Assessment Models for Greenhouse Gas Emissions from Canadian Oil Sands Production ENVIRONMENTAL SCIENCE & TECHNOLOGY Brandt, A. R. 2012; 46 (2): 1253-1261


    Because of interest in greenhouse gas (GHG) emissions from transportation fuels production, a number of recent life cycle assessment (LCA) studies have calculated GHG emissions from oil sands extraction, upgrading, and refining pathways. The results from these studies vary considerably. This paper reviews factors affecting energy consumption and GHG emissions from oil sands extraction. It then uses publicly available data to analyze the assumptions made in the LCA models to better understand the causes of variability in emissions estimates. It is found that the variation in oil sands GHG estimates is due to a variety of causes. In approximate order of importance, these are scope of modeling and choice of projects analyzed (e.g., specific projects vs industry averages); differences in assumed energy intensities of extraction and upgrading; differences in the fuel mix assumptions; treatment of secondary noncombustion emissions sources, such as venting, flaring, and fugitive emissions; and treatment of ecological emissions sources, such as land-use change-associated emissions. The GHGenius model is recommended as the LCA model that is most congruent with reported industry average data. GHGenius also has the most comprehensive system boundaries. Last, remaining uncertainties and future research needs are discussed.

    View details for DOI 10.1021/es202312p

    View details for Web of Science ID 000299136200087

    View details for PubMedID 22191713

  • Willingness to Pay for a Climate Backstop: Liquid Fuel Producers and Direct CO2 Air Capture ENERGY JOURNAL Nemet, G. F., Brandt, A. R. 2012; 33 (1): 53-81
  • Optimal operation of an integrated energy system including fossil fuel power generation, CO2 capture and wind ENERGY Kang, C. A., Brandt, A. R., Durlofsky, L. J. 2011; 36 (12): 6806-6820
  • Oil Depletion and the Energy Efficiency of Oil Production: The Case of California SUSTAINABILITY Brandt, A. R. 2011; 3 (10): 1833-1854

    View details for DOI 10.3390/su3101833

    View details for Web of Science ID 000208763700011

  • A General Mathematical Framework for Calculating Systems-Scale Efficiency of Energy Extraction and Conversion: Energy Return on Investment (EROI) and Other Energy Return Ratios ENERGIES Brandt, A. R., Dale, M. 2011; 4 (8): 1211-1245

    View details for DOI 10.3390/en4081211

    View details for Web of Science ID 000294246300008

  • Oil Shale as an Energy Resource in a CO2 Constrained World: The Concept of Electricity Production with in Situ Carbon Capture ENERGY & FUELS Mulchandani, H., Brandt, A. R. 2011; 25 (4): 1633-1641

    View details for DOI 10.1021/ef101714x

    View details for Web of Science ID 000289697700034

  • CO2 Interim Storage: Technical Characteristics and Potential Role in CO2 Market Development 10TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES Farhat, K., Brandt, A., Benson, S. M. 2011; 4: 2628-2636
  • Land Use Greenhouse Gas Emissions from Conventional Oil Production and Oil Sands ENVIRONMENTAL SCIENCE & TECHNOLOGY Yeh, S., Jordaan, S. M., Brandt, A. R., Turetsky, M. R., Spatari, S., Keith, D. W. 2010; 44 (22): 8766-8772


    Debates surrounding the greenhouse gas (GHG) emissions from land use of biofuels production have created a need to quantify the relative land use GHG intensity of fossil fuels. When contrasting land use GHG intensity of fossil fuel and biofuel production, it is the energy yield that greatly distinguishes the two. Although emissions released from land disturbed by fossil fuels can be comparable or higher than biofuels, the energy yield of oil production is typically 2-3 orders of magnitude higher, (0.33-2.6, 0.61-1.2, and 2.2 5.1 PJ/ha) for conventional oil production, oil sands surface mining, and in situ production, respectively). We found that land use contributes small portions of GHGs to life cycle emissions of California crude and in situ oil sands production ( <0.4% or < 0.4 gCO?e/MJ crude refinery feedstock) and small to modest portions for Alberta conventional oil (0.1-4% or 0.1-3.4 gCO?e/MJ) and surface mining of oil sands (0.9-11% or 0.8-10.2 gCO?e/MJ).Our estimates are based on assumptions aggregated over large spatial and temporal scales and assuming 100% reclamation. Values on finer spatial and temporal scales that are relevant to policy targets need to account for site-specific information, the baseline natural and anthropogenic disturbance.

    View details for DOI 10.1021/es1013278

    View details for Web of Science ID 000284248300064

    View details for PubMedID 20949948

  • The Climate Impacts of Bioenergy Systems Depend on Market and Regulatory Policy Contexts ENVIRONMENTAL SCIENCE & TECHNOLOGY Lemoine, D. M., Plevin, R. J., Cohn, A. S., Jones, A. D., Brandt, A. R., Vergara, S. E., Kammen, D. M. 2010; 44 (19): 7347-7350


    Biomass can help reduce greenhouse gas (GHG) emissions by displacing petroleum in the transportation sector, by displacing fossil-based electricity, and by sequestering atmospheric carbon. Which use mitigates the most emissions depends on market and regulatory contexts outside the scope of attributional life cycle assessments. We show that bioelectricity's advantage over liquid biofuels depends on the GHG intensity of the electricity displaced. Bioelectricity that displaces coal-fired electricity could reduce GHG emissions, but bioelectricity that displaces wind electricity could increase GHG emissions. The electricity displaced depends upon existing infrastructure and policies affecting the electric grid. These findings demonstrate how model assumptions about whether the vehicle fleet and bioenergy use are fixed or free parameters constrain the policy questions an analysis can inform. Our bioenergy life cycle assessment can inform questions about a bioenergy mandate's optimal allocation between liquid fuels and electricity generation, but questions about the optimal level of bioenergy use require analyses with different assumptions about fixed and free parameters.

    View details for DOI 10.1021/es100418p

    View details for Web of Science ID 000282209700029

    View details for PubMedID 20873876

  • Review of mathematical models of future oil supply: Historical overview and synthesizing critique ENERGY Brandt, A. R. 2010; 35 (9): 3958-3974
  • Global oil depletion: A review of the evidence ENERGY POLICY Sorrell, S., Speirs, J., Bentley, R., Brandt, A., Miller, R. 2010; 38 (9): 5290-5295
  • Energy Intensity and Greenhouse Gas Emissions from Thermal Enhanced Oil Recovery ENERGY & FUELS Brandt, A. R., Unnasch, S. 2010; 24: 4581-4589

    View details for DOI 10.1021/ef100410f

    View details for Web of Science ID 000281029700059

  • Dynamics of the oil transition: Modeling capacity, depletion, and emissions ENERGY Brandt, A. R., Plevin, R. J., Farrell, A. E. 2010; 35 (7): 2852-2860
  • Converting Oil Shale to Liquid Fuels with the Alberta Taciuk Processor: Energy Inputs and Greenhouse Gas Emissions ENERGY & FUELS Brandt, A. R. 2009; 23: 6253-6258

    View details for DOI 10.1021/ef900678d

    View details for Web of Science ID 000272700300063

  • Carbon Dioxide Emissions from Oil Shale Derived Liquid Fuels OIL SHALE: A SOLUTION TO THE LIQUID FUEL DILEMMA Brandt, A. R., Boak, J., Burnham, A. K. 2009; 1032: 219-248
  • An assessment of the evidence for a near-term peak in global oil production UK Energy Research Centre Sorrell, S., Speirs, J., Bentley, R., Brandt, A., Miller, R. 2009
  • Converting oil shale to liquid fuels: Energy inputs and greenhouse gas emissions of the Shell in situ conversion process Environmental Science & Technology Brandt, A. R. 2008; 42: 7489-7495
  • Dynamics of the oil transition: Modeling capacity, costs, and emissions University of California Energy Institute, Energy Policy and Economics Working Paper 021 Brandt, A. R., Farrell, A. E. 2008
  • A low carbon fuel standard for California, part 1: Technical analysis California Energy Commission Farrell, A. E., Sperling, D., et al 2007
  • Testing Hubbert Energy Policy Brandt, A. R. 2007; 35: 3074-3088
  • Scraping the bottom of the barrel: CO2 emissions consequences of a transition to low-quality and synthetic petroleum resources Climatic Change Brandt, A. R., Farrell, A. E. 2007; 84: 241-263
  • A low carbon fuel standard for California, part 2: Policy analysis California Energy Commission Farrell, A. E., Sperling, D. 2007
  • Risks of the oil transition Environmental Research Letters Farrell, A. E., Brandt, A. R. 2006; 1 (1)
  • Research roadmap for greenhouse gas inventory methods California Energy Commission Report Farrell, A. E., Kerr, A., Brandt, A. R., Torn, M. 2005; CEC-500-2005-097

Books and Book Chapters

  • Know your oil Gordon, D., Brandt, A. R., Bergerson, J., Koomey, J. Carnegie Endowment for International Peace. 2015

Conference Proceedings

  • Impact of CO2 Emissions Policy and System Configuration on Optimal Operation of an Integrated Fossil-Renewable Energy Park Carbon Management Technologies Conference Kang, C. A., Brandt, A. R., Durlofsky, L. J. 2012
  • Exploring the variation of GHG emissions from conventional oil production using an engineering-based LCA model American Center for Life Cycle Assessment (ACLCA) LCA XII Conference El-Houjeiri, H. M., Brandt, A. R. 2012
  • Optimal heat integration in a coal-natural gas energy park with CO2 capture GHGT-11, the 11th International Conference on Greenhouse Gas Control Technologies Kang, C. A., Brandt, A. R., Durlofsky, L. J. 2012
  • The Race for 21 Century Auto Fuels AIP Conference Proceedings Farrell, A., Brandt, A., Arons, S., Levi, B., Levine, M., Schwartz, P. edited by Hafemeister, D. 2008: 235-250


  • Roda-Stuart, D. J. Englander, A.R. Brandt, (2014). Quantifying fugitive methane emissions in the Barnett Shale: Reanalysis of an existing dataset. American Geophysical Union, December 15th, 2014.

    Time Period


    Presented To

    American Geophysical Union


    San Francisco, CA

  • Vafi, K., A.R. Brandt, (2014). Validation of GHG estimation models for petroleum production: challenges and promises. LCA XIV, American Center for Life Cycle Assessment. October 7th, 2014.

    Time Period


    Presented To

    American Center for Life Cycle Assessment


    San Francisco, CA

  • Hewlett Foundation, Cynthia and George Mitchell Foundation, Funders Meeting on Methane Emissions Strategy

    Time Period



    Washington, DC

  • Lockheed Martin STAR Labs, Science Colloquium. Invited lecture on methane leaks from natural gas systems. September 25th, 2014.


    Palo Alto, CA

  • Carnegie Endowment for International Peace. Oil Carbon Index Workshop. Washington, D.C., September 18th, 2014.


    Washington, DC

  • Society of Petroleum Engineers, Low Carbon Intensity Processes for Low Mobility Oil Recovery. Newport Beach, CA, 27th July - 1st August, 2014.


    Newport Beach, CA

  • Carnegie Mellon University, Center for Climate and Energy Decision Making Seminar. Invited lecture on methane leaks from natural gas systems. March 31st 2014, Pittsburg PA.


    Pittsburgh, PA

  • University of California Berkeley, Energy and Resources Group Colloquium. Invited lecture on methane leaks from natural gas systems. March 19th 2014, Berkeley, CA.


    Berkeley, CA

  • University of Texas, Petroleum and Geosystems Engineering Departmental Seminar. Invited lecture on energy efficiency of oil extraction. October 28th 2013, Austin TX


    Austin, TX