Hourly Electrical Load, Cooling Load, and Ground Heat Exchanger Performance Profiles for College Buildings in Puerto Rico
This dataset provides the numerical source data underlying selected figures in an associated study of cooling system performance for college buildings at the University of Puerto Rico at Rio Piedras. The data include modeled cooling demand, ground heat exchanger temperatures and thermal supply, electricity consumption, cooling tower makeup water use and cost, and system coefficients of performance (COPs). These values are simulation and postprocessed modeling results rather than measured campus operating data.
Building cooling loads were generated using EnergyPlus (see link below for more information) for a prototype college building under Typical Meteorological Year (TMY3) weather conditions for San Juan, Puerto Rico, with selected results also scaled to represent four buildings equivalent to the Facundo Bueso building. Long-term subsurface temperatures and thermal production for a two-doublet ground heat exchanger system were simulated using SUTRA, as documented in the accompanying SUTRA GeoTES model resource. Electricity consumption, water use, and COP were subsequently calculated for the three cooling scenarios using the component models, performance relationships, and assumptions described in the associated manuscript. The manuscript will be linked here when published.
The dataset includes prototype and scaled building cooling-load profiles, long-term ground heat exchanger performance for Scenario 2, comparisons between the cooling-tower system in Scenario 1 and ground heat exchanger system in Scenario 2, and integrated electricity, water-use, and COP results for the three scenarios. The spreadsheet is organized into column groups corresponding to manuscript figures and panels, with each group using its own independent time or cooling-load index. The data include hourly profiles for the first 720 hours, annual daily cooling demand for 365 days, load-dependent comparisons with 8,760 hourly observations, and seven-day-averaged ground heat exchanger results over 20 years. Occasional single-hour COP spikes occur during periods of very low cooling demand, when modeled electricity consumption approaches zero.
Citation Formats
TY - DATA
AB - This dataset provides the numerical source data underlying selected figures in an associated study of cooling system performance for college buildings at the University of Puerto Rico at Rio Piedras. The data include modeled cooling demand, ground heat exchanger temperatures and thermal supply, electricity consumption, cooling tower makeup water use and cost, and system coefficients of performance (COPs). These values are simulation and postprocessed modeling results rather than measured campus operating data.
Building cooling loads were generated using EnergyPlus (see link below for more information) for a prototype college building under Typical Meteorological Year (TMY3) weather conditions for San Juan, Puerto Rico, with selected results also scaled to represent four buildings equivalent to the Facundo Bueso building. Long-term subsurface temperatures and thermal production for a two-doublet ground heat exchanger system were simulated using SUTRA, as documented in the accompanying SUTRA GeoTES model resource. Electricity consumption, water use, and COP were subsequently calculated for the three cooling scenarios using the component models, performance relationships, and assumptions described in the associated manuscript. The manuscript will be linked here when published.
The dataset includes prototype and scaled building cooling-load profiles, long-term ground heat exchanger performance for Scenario 2, comparisons between the cooling-tower system in Scenario 1 and ground heat exchanger system in Scenario 2, and integrated electricity, water-use, and COP results for the three scenarios. The spreadsheet is organized into column groups corresponding to manuscript figures and panels, with each group using its own independent time or cooling-load index. The data include hourly profiles for the first 720 hours, annual daily cooling demand for 365 days, load-dependent comparisons with 8,760 hourly observations, and seven-day-averaged ground heat exchanger results over 20 years. Occasional single-hour COP spikes occur during periods of very low cooling demand, when modeled electricity consumption approaches zero.
AU - Oh, Hyunjun
A2 - Winick, Jeffrey
A3 - Coony, Jonathan
A4 - Mello, Scott
A5 - Bonnema, Eric
A6 - Davalos Elizondo, Estefanny
A7 - Acero-Allard, Diana
DB - Geothermal Data Repository
DP - Open EI | National Laboratory of the Rockies
DO -
KW - geothermal
KW - energy
KW - heating and cooling
KW - cooling loads
KW - load profile
KW - Puerto Rico
KW - geothermal heat exchanger
KW - open-loop heat exchanger
KW - ground heat exchanger
KW - cold UTES
KW - GeoTES
KW - SUTRA
KW - EnergyPlus
KW - modeled data
KW - building cooling
KW - cooling load
KW - chiller performance
KW - COP
KW - coefficient of performance
KW - electricity consumption
KW - cooling tower
KW - water consumption
KW - building energy modeling
KW - simulation data
KW - processed data
LA - English
DA - 2026/09/08
PY - 2026
PB - National Laboratory of the Rockies
T1 - Hourly Electrical Load, Cooling Load, and Ground Heat Exchanger Performance Profiles for College Buildings in Puerto Rico
UR - https://gdr.openei.org/submissions/1867
ER -
Oh, Hyunjun, et al. Hourly Electrical Load, Cooling Load, and Ground Heat Exchanger Performance Profiles for College Buildings in Puerto Rico. National Laboratory of the Rockies, 8 September, 2026, Geothermal Data Repository. https://gdr.openei.org/submissions/1867.
Oh, H., Winick, J., Coony, J., Mello, S., Bonnema, E., Davalos Elizondo, E., & Acero-Allard, D. (2026). Hourly Electrical Load, Cooling Load, and Ground Heat Exchanger Performance Profiles for College Buildings in Puerto Rico. [Data set]. Geothermal Data Repository. National Laboratory of the Rockies. https://gdr.openei.org/submissions/1867
Oh, Hyunjun, Jeffrey Winick, Jonathan Coony, Scott Mello, Eric Bonnema, Estefanny Davalos Elizondo, and Diana Acero-Allard. Hourly Electrical Load, Cooling Load, and Ground Heat Exchanger Performance Profiles for College Buildings in Puerto Rico. National Laboratory of the Rockies, September, 8, 2026. Distributed by Geothermal Data Repository. https://gdr.openei.org/submissions/1867
@misc{GDR_Dataset_1867,
title = {Hourly Electrical Load, Cooling Load, and Ground Heat Exchanger Performance Profiles for College Buildings in Puerto Rico},
author = {Oh, Hyunjun and Winick, Jeffrey and Coony, Jonathan and Mello, Scott and Bonnema, Eric and Davalos Elizondo, Estefanny and Acero-Allard, Diana},
abstractNote = {This dataset provides the numerical source data underlying selected figures in an associated study of cooling system performance for college buildings at the University of Puerto Rico at Rio Piedras. The data include modeled cooling demand, ground heat exchanger temperatures and thermal supply, electricity consumption, cooling tower makeup water use and cost, and system coefficients of performance (COPs). These values are simulation and postprocessed modeling results rather than measured campus operating data.
Building cooling loads were generated using EnergyPlus (see link below for more information) for a prototype college building under Typical Meteorological Year (TMY3) weather conditions for San Juan, Puerto Rico, with selected results also scaled to represent four buildings equivalent to the Facundo Bueso building. Long-term subsurface temperatures and thermal production for a two-doublet ground heat exchanger system were simulated using SUTRA, as documented in the accompanying SUTRA GeoTES model resource. Electricity consumption, water use, and COP were subsequently calculated for the three cooling scenarios using the component models, performance relationships, and assumptions described in the associated manuscript. The manuscript will be linked here when published.
The dataset includes prototype and scaled building cooling-load profiles, long-term ground heat exchanger performance for Scenario 2, comparisons between the cooling-tower system in Scenario 1 and ground heat exchanger system in Scenario 2, and integrated electricity, water-use, and COP results for the three scenarios. The spreadsheet is organized into column groups corresponding to manuscript figures and panels, with each group using its own independent time or cooling-load index. The data include hourly profiles for the first 720 hours, annual daily cooling demand for 365 days, load-dependent comparisons with 8,760 hourly observations, and seven-day-averaged ground heat exchanger results over 20 years. Occasional single-hour COP spikes occur during periods of very low cooling demand, when modeled electricity consumption approaches zero.},
url = {https://gdr.openei.org/submissions/1867},
year = {2026},
howpublished = {Geothermal Data Repository, National Laboratory of the Rockies, https://gdr.openei.org/submissions/1867},
note = {Accessed: 2026-10-21}
}
Details
Data from Sep 8, 2026
Last updated Sep 16, 2026
Submitted Sep 8, 2026
Organization
National Laboratory of the Rockies
Contact
Hyunjun Oh
303.630.5502
Authors
Keywords
geothermal, energy, heating and cooling, cooling loads, load profile, Puerto Rico, geothermal heat exchanger, open-loop heat exchanger, ground heat exchanger, cold UTES, GeoTES, SUTRA, EnergyPlus, modeled data, building cooling, cooling load, chiller performance, COP, coefficient of performance, electricity consumption, cooling tower, water consumption, building energy modeling, simulation data, processed dataDOE Project Details
Project Name Geothermal Resource Assessment for Evaluating Techno-Economic Feasibility of District Cooling Systems in Puerto Rico
Project Lead Jeff Winick
Project Number 52400

