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Electrical, Thermal, Solar, and Wind Loads

In the low fidelity model, the electrical and thermal load profiles for army bases were estimated using available energy data from the University Park campus at Penn State. The University Park campus has an approximate population of 42,000 students. For the low fidelity model, the energy usage is calculated by analyzing 1 day from each month (based on the below table of averages), and multiplying the results by 30 (days in a month) to calculate the yearly cost of the microgrid. Thermal loads are estimated by subtracting the electrical load profile from the total energy profile.

Month Jan Feb Mar Apr May June July Aug Sep Oct Nov Dec
Electrical Load (kWh)
Electrical Load/Hour (kWh) 		23,000,000
31944 		23,000,000
31944 		24,000,000
33333 		25,000,000
34722 		25,000,000
34722 		27,000,000
37500 		30,000,000
41667 		30,000,000
41667 		28,000,000
38888 		27,000,000
37500 		23,000,000
31944 		22,000,000
30555
Thermal Load (kWh)
Thermal Load/Hour (kWh) 		56,137,000
77968 		53,206,000
73897 		49,275,000
68437 		39,482,000
54836 		33,620,000
46694 		22,827,000
31704 		21,292,500
29573 		13,965,000
19396 		23,292,500
32351 		31,620,000
43917 		38,551,000
53543 		48,344,000
67144



The low fidelity models assume that the daily load profile has a distribution similar to the below graph.


Time (hr) Load Equation
1-7 avg - avg*0.1944
7-11 (avg - avg*0.1944) + (time - 7)*2*avg*0.1944/4
11-17 avg + avg*0.1944
17-24 (avg + avg*0.1944) - (time - 17)*2*avg*0.1944/7


The below graph displays the estimated load profiles.

Below is a graph of Fort Bragg solar load profiles downloaded from System Advisor Model (SAM). The first 10 days in year are shown. Hourly Solar Values

Below is a graph of Fort Bragg wind load profiles downloaded from System Advisor Model (SAM). The first 10 days in year are shown. Hourly Wind Values