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Hourly data for evaluating the carbon dioxide emission factor of heat pumps or other devices connected to the Italian grid.

ABSTRACT: This data article includes an elaboration of carbon dioxide data available from three different online sources in the years from 2016 to 2019. The data article refers to the paper "Interpolating functions for CO2 emission factors in dynamic simulations: the special case of a heat pump" by the same authors. The data are provided on an hourly basis and are useful to determine the carbon dioxide emission of an electric heat pump or other devices connected to the Italian grid. The importance of the provided data is related to the possibility of having an accurate estimation of the CO2 emission when the device works for only a limited period of time during the year or day. Moreover, since the given data are provided in electronic format (.txt file or .xlsx spreadsheet) they are very useful to perform dynamic simulation using self-made or commercial software such as Trnsys, Energy Plus etc.

SUBMITTER: Valdiserri P

PROVIDER: S-EPMC9679705 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Hourly data for evaluating the carbon dioxide emission factor of heat pumps or other devices connected to the Italian grid.

Valdiserri Paolo P Ballerini Vincenzo V Rossi di Schio Eugenia E

Data in brief 20221020

This data article includes an elaboration of carbon dioxide data available from three different online sources in the years from 2016 to 2019. The data article refers to the paper "Interpolating functions for CO2 emission factors in dynamic simulations: the special case of a heat pump" by the same authors. The data are provided on an hourly basis and are useful to determine the carbon dioxide emission of an electric heat pump or other devices connected to the Italian grid. The importance of the ...[more]

PMID: 36426014

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Project description:ImportancePrevious studies have demonstrated the associations of daily high temperature with hospitalizations and mortality from ischemic stroke, but the hourly association of ambient heat and acute ischemic stroke (AIS) onset has been rarely examined.ObjectivesTo evaluate the association between hourly high ambient temperature and the onset of AIS.Design, setting, and participantsThis time-stratified case-crossover study was conducted using a nationwide registry that collects data from more than 200 stroke centers in China. Participants were adult patients with AIS who were hospitalized in the warm seasons between January 1, 2019, and December 31, 2021.ExposuresHourly temperature and single-hour temperature exposure lag up to 24 hours before the AIS onset (lag 0 hours to lag 24 hours).Main outcomes and measuresThe main outcome was onset of AIS. Associations between hourly mean temperatures and AIS onset were analyzed using conditional logistic regression integrated with the distributed lag nonlinear model. Stratification analyses were applied to examine potential association modifiers. Several sensitivity analyses were conducted to examine the robustness of the results.ResultsA total of 82 455 patients with AIS (mean [SD] age, 65.8 [11.9] years; 52 267 males [63.4%]) were included in the final analysis. A monotonically increasing risk of AIS onset was associated with higher temperatures. The excess AIS risk occurred immediately at lag 0 hours and persisted for 10 hours. Compared with the reference temperature (12.1 °C), the cumulative odds ratio (OR) over lag 0 to 10 hours of AIS onset associated with extremely high temperature (33.3 °C) was 1.88 (95% CI, 1.65-2.13) nationwide. The exposure-response curve was steeper in the north than in the south (OR, 1.80 [95% CI, 1.53-2.11] vs 1.57 [95% CI, 1.31-1.87]). The ORs were greater for males and patients with a history of dyslipidemia or atrial fibrillation, but the differences were not significant.Conclusions and relevanceResults of this study suggest that hourly heat exposure is associated with increased risk of AIS onset. This finding may benefit the formulation of public health strategies to reduce cerebrovascular risk associated with high ambient temperature under global warming.

Dataset Information

Hourly data for evaluating the carbon dioxide emission factor of heat pumps or other devices connected to the Italian grid.

Publications

Hourly data for evaluating the carbon dioxide emission factor of heat pumps or other devices connected to the Italian grid.

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