Custom EPW files may be created by experienced users and imported using the "Import EPW File" option. There is also an option in FEDS version 8 that allows users to view and alter the weather data (e.g., drybulb temperature, relative humidity, atmospheric pressure, and sky clearness). This is presently intended to allow users to make weather adjustments to be used when calibrating a model to conditions for a specific base year. Contact FEDS support for more information.
Yes. FEDS now provides an option to import additional weather station data. An "Import EPW Weather File" feature enables users to access the growing number of weather station data representing many locations globally, as well as more recent records of typical climate data, and even data covering specific time periods or energy modeling scenarios. All data must be in standard EPW file format. Refer to the FEDS User’s Guide for more information.
Normal/typical plug loads are accounted for (inferred) automatically within FEDS. These values can be viewed and/or changed from the miscellaneous equipment inputs in maximum detail display. The data is based on major end-use load surveys for typical plug load levels and accounts for the typical levels of equipment loads in a given use-area type. For example, for an office building this will account for typical levels of things, such as computers, printers, copiers, clocks, vending machines, coffee makers, and kitchenette equipment.
Yes. All motors in the FEDS retrofit database meet current applicable EPAct and EISA efficiency standards that vary depending on parameters, such as motor horsepower, enclosure type, and speed.
Yes. FEDS now models and evaluates lighting controls, including occupancy sensors. To model existing lighting controls, the user must select the appropriate "yes" response to the "Existing lighting controls?" input and review the existing utilization factors. To infer reasonable utilization factors for the controlled lighting, specify the appropriate space type for the space where the lights exist.
FEDS will also automatically evaluate the savings potential and cost-effectiveness of lighting controls where they do not currently exist. In this scenario, select "no–evaluate occupancy sensor" and identify the most applicable space type. In this case, the "existing" utilization factors identify the portion of time that the lights are currently on, while the "with controls" utilization factors will be used by FEDS to model the impact of the occupancy sensor controls. The "number of sensors required" is used by the cost model to identify how many sensors need to be installed to control the current lighting.
Each lamp and ballast modeled within FEDS has a rated life (specified in hours) associated with it. Actual replacement intervals are calculated within the model based on the light's modeled operating hours (based on utilization factors and occupancy schedules) and rated life of each component. When a lamp or ballast fails, FEDS accounts for the cost to replace the component by figuring both materials and labor requirements. These costs are tallied over the economic study period and reported as the non-annual maintenance cost. FEDS uses the non-annual maintenance cost along with energy and capital costs in determining which fixture can best provide the required level of service at the lowest life-cycle cost.
Exterior lighting, such as security or parking lot lights can be included in FEDS by selecting the exterior fixture location. This will set the heat to space to 0 and alter the calculation of utilization factors appropriate for typical nighttime operation.
Refer to Appendix G of the FEDS User's Guide. Ex: FL 2x4 4F40T12 STD2 = a 2-foot by 4-foot fluorescent fixture, with four 40 watt T12 (1.5 inch diameter) lamps, operated by two standard magnetic ballasts (designed to operate two lamps each).
While FEDS models motor energy use, demand, and interactions with the HVAC system quite well, it is not a substitute for the MotorMaster+ software. MotorMaster+ contains extensive motor management and analysis capabilities that are found in no other software program. FEDS recommends general categories and performance levels of motors based on what is currently available, but does not specify particular manufacturers or special features. It is recommended that results of motor analyses from FEDS be used in MotorMaster+ to further refine and specify motor purchase requirements.
For example, the effect of the affinity laws on fan motors can have a significant impact in degrading the efficiency of an energy-efficient motor if it has less slip than the original motor. While it is true that many energy-efficient motors run faster than their standard efficiency counterparts, there are typically energy-efficient motors available with a full-load rpm equivalent to that of the motor it is replacing. FEDS does not account for the effect of speed on energy consumption in centrifugal loads, but assumes the user can find a motor with an equivalent slip as their current motor. MotorMaster+ is an invaluable tool to help users assess the impact of speed on energy consumption and finding the right motor for a given application.
Choose a weather station that most closely represents the weather at your location. Most times it will be a city in the same state as you, but can be in a neighboring state, or in some instances in another region altogether. When specifying the zip code of the site or building(s), FEDS will recommend a weather station that offers the most similar weather to your location.
The utilization factors for lighting represent the portion of time particular lights are on, on average, over the building set. They are expressed as a fraction of the maximum possible load (i.e., 100% of the lights are on 100% of the time) for a given time period. FEDS infers the occupied and unoccupied period utilization factors based on what is typical on average for the lighting technology and use-area type. FEDS typically assumes that some lights are on even during unoccupied times for security, safety, or cleaning staff, or simply because lights were left on. During seasonally unoccupied months and other periods defined as non-operating, utilization factors are set to 0 for all lighting records except for exit lights, which are assumed to operate constantly.
FEDS allows a negative value for percentage of heat to the conditioned space. For example, if the equipment has a COP of 2.0 and operates with an exterior condenser, then -200 should be entered for this value and the capacity should be half the actual rated capacity. (This will result in heating an amount equivalent to 200% of the unit's consumption as being rejected outside.)
The utilization factor represents the percentage of time during a particular period that the motor is operating. The load factor indicates the typical operating output of the motor as a percentage of rated output. For example, a 10-horsepower motor driving a 6-horsepower load and operating 50% of the time would have a load factor of 60% and a combined utilization/load factor of 30%.
FEDS allows the user to specify this information separately for occupied and unoccupied hours, either constant over the year, or varying from month to month. FEDS uses these values to calculate the hours of operation, and hence the consumption, and demand implications of each motor record. FEDS also calculates the heat output of the motors and its impact on the HVAC system.
Many motors in use today are oversized for the load they are driving, and some are grossly oversized. In such situations, the motor is driving a load equal to only a fraction of its rated capacity, and if too low the operating efficiency of the motor may suffer. Most importantly, when it's time to replace the motor, purchasing a motor with far excess capacity for its load will cost much more than a properly sized motor. Why spend more than necessary for the same (or even worse) level of service? FEDS understands t many motors may be over- (or under-) sized and allows the user to specify the required capacity of a motor, if known. FEDS will use the required capacity in order to select a replacement motor of the proper size and base its performance and cost calculations accordingly.
The lighting use-area fixture density is the inferred fixtures per square foot and is based on typical lumen levels for different use-area types. It represents the average fixtures per square foot over the entire use-area (or building for single use-area buildings). Typically, the user will know the total number of fixtures in a use-area and can enter this and allow the software to calculate the fixtures per square foot.
FEDS now offers 1.116 weather station data locations, primarily from a TMY3 and CWEC sources. From this data it derives such information as heating and cooling design day conditions, hourly temperature, clearness, and humidity profiles for a typical meteorological year. See Appendix D of the FEDS User's Guide for more information.
The typical FEDS user will not have detailed information available regarding plug load levels in order to adequately model them and will need to rely on the inferred values. However, miscellaneous equipment records may be modified or added if a load is unusual or atypical of the use-area type, or has an extremely large load (or one that sees extensive use) that is above and beyond what would be considered typical. Similarly, a user may want to reduce the capacity density for some areas deemed to have a lower load density than typical for that type of space, or even delete entire records when there is no equipment in use of a given type.
Motor inference data and an extensive list of replacement motors (including performance and cost data) have been compiled from the MotorMaster+ software's extensive database of three-phase motors. MotorMaster+ was developed under the U.S. Department of Energy's Motor Challenge Program by the Washington State University Cooperative Extension Energy Program.
No. At this time FEDS considers only fixture per fixture replacements that provide similar light output. However, the energy impact of correcting an over/under lit condition could be analyzed comparing by two consecutive FEDS baseline runs (by running without optimization).