Fletch Chapin
Postdoctoral Scholar, Civil and Environmental Engineering
All Publications
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Retail ElectricityCosts and Emissions IncentivesAre Misaligned for Commercial and Industrial Power Consumers
ENVIRONMENTAL SCIENCE & TECHNOLOGY
2026
View details for DOI 10.1021/acs.est.6c04740
View details for Web of Science ID 001852490300001
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Demand response event simulator and risk-aware bidding tool for industrial customers
APPLIED ENERGY
2026; 409
View details for DOI 10.1016/j.apenergy.2026.127456
View details for Web of Science ID 001684992600001
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Using Bayesian Inference and Flowpipe Construction to Bound Predictions of Biogas Production at Wastewater Treatment Plants
edited by Damiani, F., Farrell, M.
SPRINGER INTERNATIONAL PUBLISHING AG. 2026: 182-201
View details for DOI 10.1007/978-3-032-10794-7_10
View details for Web of Science ID 001717078900010
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PyPES: A data and metadata schema for portable water system models
ENVIRONMENTAL MODELLING & SOFTWARE
2026; 196
View details for DOI 10.1016/j.envsoft.2025.106788
View details for Web of Science ID 001628261100001
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Load-Shifting Strategies for Cost-Effective Emission Reductions at Wastewater Facilities.
Environmental science & technology
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
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Acquirium: A Data-Metadata Management Framework forWater Treatment Systems
ASSOC COMPUTING MACHINERY. 2025: 332-333
View details for DOI 10.1145/3736425.3772123
View details for Web of Science ID 001659031400055
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Valuing energy flexibility from water systems
NATURE WATER
2024; 2 (10): 1028-1037
View details for DOI 10.1038/s44221-024-00316-4
View details for Web of Science ID 001390098300005
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Electricity and natural gas tariffs at United States wastewater treatment plants.
Scientific data
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
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Making Roads Safer: Optimizing De-icing Using Snowmelt Rates and Slope Data
2nd World Congress on Civil, Structural, and Environmental Engineering (CSEE'17)
Avestia. 2017
View details for DOI 10.11159/icte17.104
https://orcid.org/0000-0002-2165-7963