homer energy how to include efficiency curve

The mechanism for adding day-to-day and time-step-to-time-step variability is simple. It is included to show the approximate cost levels being used.

The cost per kW is based upon a 53 efficiency based on the lower heating value (LHV) or 63 based on the higher heating value (HHV) equal to an electrical input of 62.8 kWh/kg of hydrogen. The following is a plot of the first week of the year with 20% day-to-day variability and 15% time-step-to-time-step variability. The capital costs used are shown in Table 2. The following is a plot of the first week of the year.īy combining day-to-day and time-step-to-time-step variability, you can create realistic-looking load data. This variability changes the shape of the load profile without affecting its size. The first week of the year is shown below.Īs an example of time-step-to-time-step variability, reset the day-to-day variability to zero and add 15% time-step-to-time-step variability. As an example, if you add 20% day-to-day variability, HOMER changes each day's load profile by a random amount, so the load retains the same shape for each day, but is scaled upward or downward. Adding variability can make the load data more realistic. Realistically, however, the size and shape of the load profile varies from day to day. A plot of the first week of the year shows that the load profile repeats itself day after day. The following graph shows the load data without any added variability. To see the effect that each type of variability has on the load data, consider the following average load profile. If you are generating synthetic load with HOMER, you can change these values. If you import time-series load data, these inputs are listed for reference but are not be editable. The Random variability inputs are Day-to-day and Timestep. The main advantage of this procedure will be the possibility of predicting the image sharpness characteristics for any mammography equipment with any type of recording system without exposure tests.The Random Variability inputs on the Electric, Thermal, and Hydrogen Load pages allow you to add randomness to the load data to make it more realistic. Simulated images were compared to those obtained with actual mammographic equipment, by using a resolution phantom, and both types of images were in good agreement. The focal spot sizes in all field locations, as well as the respectives intensity distributions, the sensitometric curve for a radiographic film or for a screen-film combination, and also the screen intensifying factor, conversion efficiency, absorption factor and emission spectrum were used as input parameters for the simulation.

In this current work we take into account the parameters from the recording system besides the radiation projection from the focal spot in order to yield a simulated image on the computer screen relative to the expected image to be obtained in actual conditions with a singular recording system for a singular mammography equipment. Following procedures used to simulate the image sharpness along the radiation field based on X-rays geometric exposure developed in previous work, here we describe another computer simulation procedure intended to evaluate the influence of any recording system as radiographic film or screen-film combinations, on the image sharpness in mammography.

Homer energy how to include efficiency curve