Retail electricity costs and emissions incentives are misaligned for commercial and industrial power consumers

Fuente: arXiv
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Autores principales: Chapin, Fletcher T., Rao, Akshay K., Sakthivelu, Adhithyan, Tucker, Carson I., David, Eres, Chen, Casey S., Musabandesu, Erin, Mauter, Meagan S.
Formato: Preprint
Publicado: 2025
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author Chapin, Fletcher T.
Rao, Akshay K.
Sakthivelu, Adhithyan
Tucker, Carson I.
David, Eres
Chen, Casey S.
Musabandesu, Erin
Mauter, Meagan S.
author_facet Chapin, Fletcher T.
Rao, Akshay K.
Sakthivelu, Adhithyan
Tucker, Carson I.
David, Eres
Chen, Casey S.
Musabandesu, Erin
Mauter, Meagan S.
contents Electrification is contributing to substantial growth in U.S. commercial and industrial loads, but the cost and Scope 2 carbon emission implications of this load growth are opaque for both power consumers and utilities. This work describes a unique spatiotemporally resolved data set of U.S. electricity costs and emissions and applies time series approximation methods to quantify the alignment of electricity cost and emission incentives for large commercial and industrial consumers. We present a comprehensive spatiotemporal dataset of U.S. price-based demand response (i.e., tariff) and incentive-based demand response programs, enabling direct comparison to previously published marginal emission factor, average emission factor, and day-ahead market prices. We resolved the structural incompatibility and fragmentation of these datasets by developing time series approximations of discrete data and unifying geospatially heterogeneous datasets. Analysis of these datasets reveals significant spatial and temporal heterogeneity in cost and carbon emissions incentives for demand-side energy flexibility, underscoring the importance of site selection as a key factor influencing power costs and Scope 2 emissions. Analysis also reveals broad misalignment of economic and emissions incentives under existing electricity tariff structures, meaning tariffs are incentivizing consumption of more carbon-intensive electricity, and highlighting potential barriers to electrification delivering carbon savings.
format Preprint
id arxiv_https___arxiv_org_abs_2511_10775
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Retail electricity costs and emissions incentives are misaligned for commercial and industrial power consumers
Chapin, Fletcher T.
Rao, Akshay K.
Sakthivelu, Adhithyan
Tucker, Carson I.
David, Eres
Chen, Casey S.
Musabandesu, Erin
Mauter, Meagan S.
Systems and Control
Electrification is contributing to substantial growth in U.S. commercial and industrial loads, but the cost and Scope 2 carbon emission implications of this load growth are opaque for both power consumers and utilities. This work describes a unique spatiotemporally resolved data set of U.S. electricity costs and emissions and applies time series approximation methods to quantify the alignment of electricity cost and emission incentives for large commercial and industrial consumers. We present a comprehensive spatiotemporal dataset of U.S. price-based demand response (i.e., tariff) and incentive-based demand response programs, enabling direct comparison to previously published marginal emission factor, average emission factor, and day-ahead market prices. We resolved the structural incompatibility and fragmentation of these datasets by developing time series approximations of discrete data and unifying geospatially heterogeneous datasets. Analysis of these datasets reveals significant spatial and temporal heterogeneity in cost and carbon emissions incentives for demand-side energy flexibility, underscoring the importance of site selection as a key factor influencing power costs and Scope 2 emissions. Analysis also reveals broad misalignment of economic and emissions incentives under existing electricity tariff structures, meaning tariffs are incentivizing consumption of more carbon-intensive electricity, and highlighting potential barriers to electrification delivering carbon savings.
title Retail electricity costs and emissions incentives are misaligned for commercial and industrial power consumers
topic Systems and Control
url https://arxiv.org/abs/2511.10775