Stanford Advisors


All Publications


  • Retail ElectricityCosts and Emissions IncentivesAre Misaligned for Commercial and Industrial Power Consumers ENVIRONMENTAL SCIENCE & TECHNOLOGY Chapin, F. T., Rao, A. K., Sakthivelu, A., Tucker, C. I., David, E., Chen, C. S., Musabandesu, E., Mauter, M. S. 2026
  • Demand response event simulator and risk-aware bidding tool for industrial customers APPLIED ENERGY Sakthivelu, A., Chapin, F. T., Bolorinos, J., Mauter, M. S. 2026; 409
  • Using Bayesian Inference and Flowpipe Construction to Bound Predictions of Biogas Production at Wastewater Treatment Plants Chapin, F., Varma, A., Akinwande, S., Mauter, M., Sankaranarayanan, S. edited by Damiani, F., Farrell, M. SPRINGER INTERNATIONAL PUBLISHING AG. 2026: 182-201
  • PyPES: A data and metadata schema for portable water system models ENVIRONMENTAL MODELLING & SOFTWARE Chapin, F. T., Liu, Y., Mauter, M. S. 2026; 196
  • Load-Shifting Strategies for Cost-Effective Emission Reductions at Wastewater Facilities. Environmental science & technology Chapin, F. T., Wettermark, D., Bolorinos, J., Mauter, M. S. 2025

    Abstract

    Significant hourly variation in the carbon intensity of electricity supplied to wastewater facilities introduces an opportunity to lower emissions by shifting the timing of their energy demand. This shift could be accomplished by storing wastewater, biogas from sludge digestion, or electricity from on-site biogas generation. However, the life cycle emissions and cost implications of these options are not clear. We present a multiobjective optimization framework for comparing cost- and emission-minimizing load-shifting strategies at a California case study facility with a relatively low carbon intensity grid and high spread in peak and off-peak electricity prices. We evaluate cost and emission trade-offs from the optimal flexible operation of both existing infrastructure and optimally sized energy flexibility upgrades. We estimate energy-related emission reductions of up to 9.0% with flexible operation of existing infrastructure and up to 16.8% with optimally sized storage upgrades. Only a fraction of these potential savings are realized under actual industrial energy tariffs and the EPA's recommended social cost of carbon. Energy flexibility may hold promise as a short-term emission-saving solution for the wastewater sector, but the extent of savings is heavily dependent on the cost of carbon, electricity tariffs, and emission intensity of the regional electricity grid.

    View details for DOI 10.1021/acs.est.4c09773

    View details for PubMedID 39825469

  • Acquirium: A Data-Metadata Management Framework forWater Treatment Systems Saka, U., Paul, L., Chapin, F., Struck, S., Anwar, A., Fierro, G., ACM ASSOC COMPUTING MACHINERY. 2025: 332-333
  • Valuing energy flexibility from water systems NATURE WATER Rao, A. K., Bolorinos, J., Musabandesu, E., Chapin, F. T., Mauter, M. S. 2024; 2 (10): 1028-1037
  • Electricity and natural gas tariffs at United States wastewater treatment plants. Scientific data Chapin, F. T., Bolorinos, J., Mauter, M. S. 2024; 11 (1): 113

    Abstract

    Wastewater treatment plants (WWTPs) are large electricity and natural gas consumers with untapped potential to recover carbon-neutral biogas and provide energy services for the grid. Techno-economic analysis of emerging energy recovery and management technologies is critical to understanding their commercial viability, but quantifying their energy cost savings potential is stymied by a lack of well curated, nationally representative electricity and natural gas tariff data. We present a dataset of electricity tariffs for the 100 largest WWTPs in the Clean Watershed Needs Survey (CWNS) and natural gas tariffs for the 54 of 100 WWTPs with on-site cogeneration. We manually collected tariffs from each utility's website and implemented data checks to ensure their validity. The dataset includes facility metadata, electricity tariffs, and natural gas tariffs (where cogeneration is present). Tariffs are current as of November 2021. We provide code for technical validation along with a sample simulation.

    View details for DOI 10.1038/s41597-023-02886-6

    View details for PubMedID 38263407

    View details for PubMedCentralID PMC10805726

  • Making Roads Safer: Optimizing De-icing Using Snowmelt Rates and Slope Data 2nd World Congress on Civil, Structural, and Environmental Engineering (CSEE'17) Chapin, F. T., Omitaomu, O. A., Bhaduri, B. L. Avestia. 2017

    View details for DOI 10.11159/icte17.104