Hourly Electrical Load, Cooling Load, and Ground Heat Exchanger Performance Profiles for College Buildings in Puerto Rico

Publicly accessible License 

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 -
Export Citation to RIS
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

Hyunjun Oh

National Laboratory of the Rockies

Jeffrey Winick

U.S. Department of Energy

Jonathan Coony

World Bank Group

Scott Mello

National Laboratory of the Rockies

Eric Bonnema

National Laboratory of the Rockies

Estefanny Davalos Elizondo

National Laboratory of the Rockies

Diana Acero-Allard

National Laboratory of the Rockies

DOE 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

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