Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 0

The DOI matches its Crossref record; the references it cites are not checked yet.

Quantifying the power system benefits of building upgrades for passive survivability in a changing climate

Moraski, Jill, Wu, Haochi, Craig, Michael T., Callaway, Duncan·2027·Applied Energy
DOI 10.1016/j.apenergy.2026.129057
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.apenergy.2026.129057

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

The citation lists haven’t been fetched yet

Research works printed but not linked: 39

  1. Auffhammer, 2017, Climate change is projected to have severe impacts on the frequency and intensity of peak electricity demand across the United States, Proc. Natl. Acad. Sci., 114, 1886, 10.1073/pnas.1613193114 · DOI · Paper page
  2. Craig, 2018, A review of the potential impacts of climate change on bulk power system planning and operations in the United States, Renew. Sust. Energ. Rev., 98, 255, 10.1016/j.rser.2018.09.022 · DOI
  3. Sundar, 2023, Meteorological drivers of resource adequacy failures in current and high renewable Western U.S. power systems, Nat. Commun., 14, 6379, 10.1038/s41467-023-41875-6 · DOI
  4. Perera, 2020, Quantifying the impacts of climate change and extreme climate events on energy systems, Nat. Energy, 5, 150, 10.1038/s41560-020-0558-0 · DOI · Paper page
  5. Turner, 2019, Compound climate events transform electrical power shortfall risk in the Pacific Northwest, Nat. Commun., 10, 10.1038/s41467-018-07894-4 · DOI · Paper page
  6. Adams, 2024, Climate change adaptation in the Australian electricity sector and the lure of resilience thinking, Energy Res. Soc. Sci., 118, 10.1016/j.erss.2024.103755 · DOI
  7. Hong, 2023, Ten questions concerning thermal resilience of buildings and occupants for climate adaptation, Build. Environ., 244, 10.1016/j.buildenv.2023.110806 · DOI · Paper page
  8. Stone, 2021, Compound climate and infrastructure events: how electrical grid failure alters heat wave risk, Environ. Sci. Technol., 55, 6957, 10.1021/acs.est.1c00024 · DOI · Paper page
  9. Stone, 2023, How blackouts during heat waves amplify mortality and morbidity risk, Environ. Sci. Technol., 57, 8245, 10.1021/acs.est.2c09588 · DOI
  10. Keith, 2019, Planning for extreme heat: a review, J of Extr Even, 06, 2050003, 10.1142/S2345737620500037 · DOI
  11. Liyanage, 2024, Climate adaptation of existing buildings: a critical review on planning energy retrofit strategies for future climate, Renew. Sust. Energ. Rev., 199, 10.1016/j.rser.2024.114476 · DOI
  12. Perera, 2023, Vulnerability and resilience of urban energy ecosystems to extreme climate events: A systematic review and perspectives, Renew. Sust. Energ. Rev., 173, 10.1016/j.rser.2022.113038 · DOI
  13. Sun, 2021, Passive cooling designs to improve heat resilience of homes in underserved and vulnerable communities, Energ. Buildings, 252, 10.1016/j.enbuild.2021.111383 · DOI · Paper page
  14. Ji, 2023, Quantifying improvement of building and zone level thermal resilience by cooling retrofits against summertime heat events, Build. Environ., 229, 10.1016/j.buildenv.2022.109914 · DOI
  15. O' Donovan, 2021, Passive control strategies for cooling a non-residential nearly zero energy office: simulated comfort resilience now and in the future, Energ. Buildings, 231, 10.1016/j.enbuild.2020.110607 · DOI
  16. Mugnini, 2023, Quantification of the energy flexibility of residential building clusters: impact of long-term refurbishment strategies of the italian building stock, Energ. Buildings, 296, 10.1016/j.enbuild.2023.113416 · DOI
  17. Kunwar, 2023, Performance assessment of active insulation systems in residential buildings for energy savings and peak demand reduction, Appl. Energy, 348, 10.1016/j.apenergy.2023.121209 · doi:10.1016/j.apenergy.2023.121209
  18. Maxim, 2023, Highly energy efficient housing can reduce peak load and increase safety under beneficial electrification, Environ. Res. Lett., 19, 014036, 10.1088/1748-9326/ad114d · DOI
  19. Carvallo, 2022, A review of examples and opportunities to quantify the grid reliability and resilience impacts of energy efficiency, Energy Policy, 169, 10.1016/j.enpol.2022.113185 · DOI
  20. Wu, 2022, How much demand flexibility could have spared texas from the 2021 outage?, Adv. Appl. Energy, 7, 10.1016/j.adapen.2022.100106 · doi:10.1016/j.adapen.2022.100106
  21. Langevin, 2021, US building energy efficiency and flexibility as an electric grid resource, Joule, 5, 2102, 10.1016/j.joule.2021.06.002 · DOI
  22. Escribe, 2024, How to allocate mitigation efforts between home insulation, fuel switch and fuel decarbonization? Insights from the French residential sector, Environ. Res. Lett., 19, 10.1088/1748-9326/ad3a7f · DOI
  23. Ghaderi, 2014, Energy efficiency resource modeling in generation expansion planning, Energy, 68, 529, 10.1016/j.energy.2014.02.028 · doi:10.1016/j.energy.2014.02.028
  24. Bennett, 2021, Extending energy system modelling to include extreme weather risks and application to hurricane events in Puerto Rico, Nat. Energy, 6, 240, 10.1038/s41560-020-00758-6 · DOI
  25. Brockway, 2020, Weathering adaptation: grid infrastructure planning in a changing climate, Clim. Risk Manag., 30
  26. Ralston Fonseca, 2021, Climate-induced tradeoffs in planning and operating costs of a regional electricity system, Environ. Sci. Technol., 55, 11204, 10.1021/acs.est.1c01334 · doi:10.1021/acs.est.1c01334
  27. Weber, 2021, Coping with uncertainties in the electricity sector - methods for decisions of different scope, Econ. Energy Environ. Policy, 10, 10.5547/2160-5890.10.1.cweb · DOI
  28. Jones, 2023, Continental United States climate projections based on thermodynamic modification of historical weather, Sci. Data, 10, 664, 10.1038/s41597-023-02485-5 · DOI
  29. Fabra, 2022, Learning from electricity markets: how to design a resilience strategy, Energy Policy, 168, 10.1016/j.enpol.2022.113116 · doi:10.1016/j.enpol.2022.113116
  30. Mays, 2022, Private risk and social resilience in liberalized electricity markets, Joule, 6, 369, 10.1016/j.joule.2022.01.004 · DOI
  31. Nik, 2016, Making energy simulation easier for future climate – synthesizing typical and extreme weather data sets out of regional climate models (RCMs), Appl. Energy, 177, 204, 10.1016/j.apenergy.2016.05.107 · DOI · Paper page
  32. Ouzeau, 2016, Heat waves analysis over France in present and future climate: application of a new method on the EURO-CORDEX ensemble, Climate Services, 4, 1, 10.1016/j.cliser.2016.09.002 · DOI · Paper page
  33. Flores-Larsen, 2022, A performance-based method to detect and characterize heatwaves for building resilience analysis, Renew. Sust. Energ. Rev., 167, 10.1016/j.rser.2022.112795 · DOI
  34. Sundar, 2024, Identifying robust decarbonization pathways for the Western U.S. electric power system under deep climate uncertainty, Earth’s Future, 12, 10.1029/2024EF004769 · DOI
  35. Ho, 2021, Regional energy deployment system (ReEDS) model documentation: version 2020, National Renewable Energy Laboratory.
  36. Shi, 2025, Disentangling the evolving effects of climate change and technology diffusion on building electricity demand, Research Square
  37. Fischer, 2025, Record-breaking extremes in a warming climate, Nat. Rev. Earth Environ., 6, 456, 10.1038/s43017-025-00681-y · DOI
  38. Holling, 1973, Resilience and stability of ecological systems, Annu. Rev. Ecol. Syst., 4, 1, 10.1146/annurev.es.04.110173.000245 · DOI · Paper page
  39. Perera, 2021, Climate resilient interconnected infrastructure: co-optimization of energy systems and urban morphology, Appl. Energy, 285, 10.1016/j.apenergy.2020.116430 · doi:10.1016/j.apenergy.2020.116430

Metadata

Authors
Moraski, J., Wu, H., Craig, M. T., & Callaway, D.
Venue
Applied Energy
Publisher
Elsevier BV
Published
2027-01
Volume
427
Pages
129057
ISSN
0306-2619
DOI
10.1016/j.apenergy.2026.129057
Cited by
0
Language
en
Licence
Funders
National Science Foundation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Quantifying the power system benefits of building upgrades for passive survivability in a changing climate. https://app.cochat.ai/papers/10.1016/j.apenergy.2026.129057
The paper
Moraski, J., Wu, H., Craig, M. T., & Callaway, D. (2027). Quantifying the power system benefits of building upgrades for passive survivability in a changing climate. Applied Energy. https://doi.org/10.1016/j.apenergy.2026.129057

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.