Research Data Leeds Repository

Data associated with " Global and local bioclimatic predilections for rebalancing the heating and cooling of buildings"

Citation

Peterson, Eric L. (2022) Data associated with " Global and local bioclimatic predilections for rebalancing the heating and cooling of buildings". University of Leeds. [Dataset] https://doi.org/10.5518/967¹

Dataset description

Air-conditioning relies on electricity that isn’t ubiquitous while policies encourage passive alternatives —yet cooling really should respond to occupants’ distress. Here I show where passive measures have been sufficient for comfort and identify local predilections for rebalancing demand between heating and cooling —apportioned by population neighboring meteorological stations. Access to air-conditioned shelter has been occasionally indispensable for 21% of population —generally between 20°S and 39°N and below 500m elevation. Meanwhile reverse-cycle air-source heat-pump/air-conditioning has been a reasonable expectation for 72% of the population. Refocusing on 9493 locations with ≥14 years of daily observations, stationary heating and cooling demands were found where 19% of population dwelt. Otherwise, summer cooling demand generally increased while winter heating demand decreased —except some mid-latitude continental areas demonstrated a predilection for both heating and cooling demands to increase. Over 30% of population dwelt where heating demand increased, while almost 65% dwelt where cooling demand increased. To estimate which HVAC package is locally appropriate, refer to nearby comparable meteorological stations detailed in the file “RESULTSout_1987-2020.csv” (n=16,582 records) that can be downloaded at doi.org/10.5518/967– but beware of microclimatic variability in urban heat islands.

Divisions:	Faculty of Biological Sciences > School of Biology2
Related resources:	Location Type https://doi.org/10.1016/j.enbuild.2022.1120883 Publication https://www.imeche.org/policy-and-press/reports/detail/adapting-industry-to-withstand-rising-temperatures-and-future-heatwaves4 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	21 Apr 2022 16:28
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/9515
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Peterson, Eric L. https://orcid.org/0000-0002-7504-76696 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Temporal coverage: Date from Date to 1987 2020 Publication date: 2022 Resource language: English Metadata language: English Publisher: University of Leeds Last Modified: 03 Sep 2024 11:09

Files

Documentation

README [11kB] 7 README [11kB] 8 README [11kB] 9 Security: Anyone File name: readme.xlsx10 Content type: Documentation Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 11kB

Data

output [2MB] 11 output [2MB] 12 output [2MB] 13 Security: Anyone File name: RESULTSout_1987-2020.csv14 Content type: Data Description: n=16,582 records. Output file includes locally recommended HVAC packaging, as well as average annual heating and cooling degree days, the average annual number of white- and yellow-flag WBGT stress days (WsD and YsD), the number of years of effective psyc Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2MB

statistics [3MB] 15 statistics [3MB] 16 statistics [3MB] 17 Security: Anyone File name: RESULTSstats_1987-2020.csv18 Content type: Data Description: n=16,582 records. For example , of any one station results, Syrian capital Damascus’ airport (WMO 400800), from RESULTSstats_1987-2020.csv. file RESULTSrates_1987-2020.csv and so rejects the null hypothesis of a stationary climate. [adjR2_H=0.349, ob_H=34 Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3MB

rates [2MB] 19 rates [2MB] 20 rates [2MB] 21 Security: Anyone File name: RESULTSrates_1987-2020.csv22 Content type: Data Description: n=16,582 records. [mean, standard deviation, annual rate of change, standard estimate of error, and latest trended estimate] – of HDD, CDD, ChD, DXD, WsD, and YsD Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2MB

prediliction [409kB] 23 prediliction [409kB] 24 prediliction [409kB] 25 Security: Anyone File name: prediliction14.csv26 Content type: Data Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 409kB

Geography [1MB] 27 Geography [1MB] 28 Geography [1MB] 29 Security: Anyone File name: geography.csv30 Content type: Data Description: n=16,582 records, which contains information extracted from geographical datasets intersected with those stations locations which specified latitude and longitude coordinates. Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1MB

placenames [81kB] 31 placenames [81kB] 32 placenames [81kB] 33 Security: Anyone File name: placenames.txt34 Content type: Data Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 81kB

stations [216kB] 35 stations [216kB] 36 stations [216kB] 37 Security: Anyone File name: stations.txt38 Content type: Data Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 216kB

isd-history [2MB] 39 isd-history [2MB] 40 isd-history [2MB] 41 Security: Anyone File name: isd-history_2021.csv42 Content type: Data Description: adaptation ftp://ftp.ncdc.noaa.gov/pub/data/noaa/isd-history.txt Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2MB

Supplementary Information [990kB] 43 Supplementary Information [990kB] 44 Supplementary Information [990kB] 45 Security: Anyone File name: Appendix_A.docx46 Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 990kB

Program

WB_2021 [14kB] 47 WB_2021 [14kB] 48 WB_2021 [14kB] 49 Security: Anyone File name: WB_2021_u_.m50 Content type: Program Description: main Matlab script Mime-Type: application/vnd.wolfram.mathematica.package License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 14kB

psych [6kB] 51 psych [6kB] 52 psych [6kB] 53 Security: Anyone File name: psych.m54 Content type: Program Description: Matlab function[wbC H20]= psych(dbC, dpC, stPa) Mime-Type: application/vnd.wolfram.mathematica.package License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 6kB

H20_psych [1kB] 55 H20_psych [1kB] 56 H20_psych [1kB] 57 Security: Anyone File name: H2O_psych.m58 Content type: Program Description: Matlab function H2O = H2O_psych(dbC, dpC, stPa) Mime-Type: application/vnd.wolfram.mathematica.package License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1kB

Wbloop_2021 [95kB] 59 Wbloop_2021 [95kB] 60 Wbloop_2021 [95kB] 61 Security: Anyone File name: WBloop_2021_u.m62 Content type: Program Description: Matlab function[ASHRAEcz, timeframe, HDDstats, CDDstats, ChDstats, WBGTstatsW, WBGTstatsY, DXstats, PC, savings, Basis] = WBloop_2021_u(WMO,WBANo, startyear) Mime-Type: application/vnd.wolfram.mathematica.package License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 95kB

k_stats [23kB] 63 k_stats [23kB] 64 k_stats [23kB] 65 Security: Anyone File name: k_stats2.m66 Content type: Program Description: Post-processing Matlab script yielding main article Tables 2,3 and 4 Mime-Type: application/vnd.wolfram.mathematica.package License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 23kB

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