Hourly electrical and cooling load profiles for college buildings in Puerto Rico

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This dataset provides the numerical source data underlying selected figures in the associated study of cooling system performance for college buildings at the University of Puerto Rico at Rico Piedras. The spreadsheet contains modeled cooling demand, ground heat exchanger performance, 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.

The building cooling loads were generated using EnergyPlus for a prototype college building under Typical Meteorological Year (TMY3) weather conditions for San Juan, Puerto Rico. The prototype results were also scaled to represent four buildings equivalent to the Facundo Bueso building. Long-term subsurface temperatures and thermal production for the two-doublet ground heat exchanger system were simulated using SUTRA (https://www.sciencebase.gov/catalog/item/6797f8ead34ea8c18376e10d). 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 spreadsheet is organized into separate column groups corresponding to the following manuscript figures and panels:

Figure 2(a-c) contains the EnergyPlus-derived cooling-load profiles. Figure 2(a) provides the hourly cooling demand of the prototype college building during the first 720 hours. Figure 2(b) provides its daily cooling-energy demand over a full year. Figure 2(c) provides the first 720 hours of cooling demand scaled to represent four Facundo Bueso-equivalent buildings.

Figure 3(a-b) contains seven-day-averaged results from the 20-year SUTRA simulation of the two-doublet ground heat exchanger system in Scenario 2. Figure 3(a) reports injection and production fluid temperatures for the two doublets. Figure 3(b) compares the campus cooling load with the simulated thermal energy supplied by the ground heat exchanger system.

Figure 4(a-c) compares the cooling-tower system in Scenario 1 with the ground heat exchanger system in Scenario 2. Figure 4(a) relates chiller COP to campus cooling load, Figure 4(b) relates chiller electricity consumption to campus cooling load, and Figure 4(c) provides hourly chiller electricity-consumption profiles for the two scenarios during the first 720 hours.

Figure 5(a-f) contains integrated system-performance results. Figure 5(a) compares total hourly electricity consumption among the three scenarios. Figures 5(b) and 5(c) disaggregate electricity consumption by system component for Scenarios 1 and 2, respectively. Figure 5(d) provides the seven-day moving-average pumping loads of the two ground heat exchanger doublets over 20 years. Figure 5(e) reports cooling tower makeup water consumption and associated cost for Scenario 1. Figure 5(f) compares hourly COP among the three scenarios. Occasional single-hour COP spikes occur during periods of very low cooling demand, when modeled electricity consumption approaches zero.

Each figure-panel group has its own independent time or cooling-load index. Hourly profiles generally cover the first 720 hours, annual daily cooling demand covers 365 days, load-dependent comparisons contain 8,760 hourly observations, and long-term ground heat exchanger results are reported as seven-day averages over 20 years.

Citation Formats

TY - DATA AB - This dataset provides the numerical source data underlying selected figures in the associated study of cooling system performance for college buildings at the University of Puerto Rico at Rico Piedras. The spreadsheet contains modeled cooling demand, ground heat exchanger performance, 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. The building cooling loads were generated using EnergyPlus for a prototype college building under Typical Meteorological Year (TMY3) weather conditions for San Juan, Puerto Rico. The prototype results were also scaled to represent four buildings equivalent to the Facundo Bueso building. Long-term subsurface temperatures and thermal production for the two-doublet ground heat exchanger system were simulated using SUTRA (https://www.sciencebase.gov/catalog/item/6797f8ead34ea8c18376e10d). 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 spreadsheet is organized into separate column groups corresponding to the following manuscript figures and panels: Figure 2(a-c) contains the EnergyPlus-derived cooling-load profiles. Figure 2(a) provides the hourly cooling demand of the prototype college building during the first 720 hours. Figure 2(b) provides its daily cooling-energy demand over a full year. Figure 2(c) provides the first 720 hours of cooling demand scaled to represent four Facundo Bueso-equivalent buildings. Figure 3(a-b) contains seven-day-averaged results from the 20-year SUTRA simulation of the two-doublet ground heat exchanger system in Scenario 2. Figure 3(a) reports injection and production fluid temperatures for the two doublets. Figure 3(b) compares the campus cooling load with the simulated thermal energy supplied by the ground heat exchanger system. Figure 4(a-c) compares the cooling-tower system in Scenario 1 with the ground heat exchanger system in Scenario 2. Figure 4(a) relates chiller COP to campus cooling load, Figure 4(b) relates chiller electricity consumption to campus cooling load, and Figure 4(c) provides hourly chiller electricity-consumption profiles for the two scenarios during the first 720 hours. Figure 5(a-f) contains integrated system-performance results. Figure 5(a) compares total hourly electricity consumption among the three scenarios. Figures 5(b) and 5(c) disaggregate electricity consumption by system component for Scenarios 1 and 2, respectively. Figure 5(d) provides the seven-day moving-average pumping loads of the two ground heat exchanger doublets over 20 years. Figure 5(e) reports cooling tower makeup water consumption and associated cost for Scenario 1. Figure 5(f) compares hourly COP among the three scenarios. Occasional single-hour COP spikes occur during periods of very low cooling demand, when modeled electricity consumption approaches zero. Each figure-panel group has its own independent time or cooling-load index. Hourly profiles generally cover the first 720 hours, annual daily cooling demand covers 365 days, load-dependent comparisons contain 8,760 hourly observations, and long-term ground heat exchanger results are reported as seven-day averages over 20 years. 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 LA - English DA - 2026/09/08 PY - 2026 PB - National Laboratory of the Rockies T1 - Hourly electrical and cooling load 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 and cooling load 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 and cooling load 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 and cooling load 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 and cooling load 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 the associated study of cooling system performance for college buildings at the University of Puerto Rico at Rico Piedras. The spreadsheet contains modeled cooling demand, ground heat exchanger performance, 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.

The building cooling loads were generated using EnergyPlus for a prototype college building under Typical Meteorological Year (TMY3) weather conditions for San Juan, Puerto Rico. The prototype results were also scaled to represent four buildings equivalent to the Facundo Bueso building. Long-term subsurface temperatures and thermal production for the two-doublet ground heat exchanger system were simulated using SUTRA (https://www.sciencebase.gov/catalog/item/6797f8ead34ea8c18376e10d). 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 spreadsheet is organized into separate column groups corresponding to the following manuscript figures and panels:

Figure 2(a-c) contains the EnergyPlus-derived cooling-load profiles. Figure 2(a) provides the hourly cooling demand of the prototype college building during the first 720 hours. Figure 2(b) provides its daily cooling-energy demand over a full year. Figure 2(c) provides the first 720 hours of cooling demand scaled to represent four Facundo Bueso-equivalent buildings.

Figure 3(a-b) contains seven-day-averaged results from the 20-year SUTRA simulation of the two-doublet ground heat exchanger system in Scenario 2. Figure 3(a) reports injection and production fluid temperatures for the two doublets. Figure 3(b) compares the campus cooling load with the simulated thermal energy supplied by the ground heat exchanger system.

Figure 4(a-c) compares the cooling-tower system in Scenario 1 with the ground heat exchanger system in Scenario 2. Figure 4(a) relates chiller COP to campus cooling load, Figure 4(b) relates chiller electricity consumption to campus cooling load, and Figure 4(c) provides hourly chiller electricity-consumption profiles for the two scenarios during the first 720 hours.

Figure 5(a-f) contains integrated system-performance results. Figure 5(a) compares total hourly electricity consumption among the three scenarios. Figures 5(b) and 5(c) disaggregate electricity consumption by system component for Scenarios 1 and 2, respectively. Figure 5(d) provides the seven-day moving-average pumping loads of the two ground heat exchanger doublets over 20 years. Figure 5(e) reports cooling tower makeup water consumption and associated cost for Scenario 1. Figure 5(f) compares hourly COP among the three scenarios. Occasional single-hour COP spikes occur during periods of very low cooling demand, when modeled electricity consumption approaches zero.

Each figure-panel group has its own independent time or cooling-load index. Hourly profiles generally cover the first 720 hours, annual daily cooling demand covers 365 days, load-dependent comparisons contain 8,760 hourly observations, and long-term ground heat exchanger results are reported as seven-day averages over 20 years.}, 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: 2026-09-09} }

Details

Data from Sep 8, 2026

Last updated Sep 8, 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

Keywords

geothermal, energy

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 FY24 AOP 5.4.3.4

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