def get_self_descriptor(cls):
name = 'AIRCx for AHUs: Operation Schedule'
desc = 'AIRCx for AHUs: Operation Schedule'
note = 'Application Configuration: value can be default or custom. ' \
'Setting "Application Configuration" to default will ignore ' \
'user input for parameters labeled as "Threshold"'
return Descriptor(name=name, description=desc, note=note)
def get_self_descriptor(cls):
name = 'AIRCx for AHUs: Static Pressure'
desc = 'AIRCx for AHUs: Static Pressure'
note = 'Sensitivity: value can be all, low, normal, high, or custom. ' \
'Setting values of all, low, normal, or high will ' \
'ignore other threshold values.'
return Descriptor(name=name, description=desc, note=note)
def get_self_descriptor(cls):
name = 'Load Duration Curves'
desc = 'Load duration curves are used to understand\
the number of hours or percentage of time during which\
the building load is at or below a certain value. '
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Time Series Load Profiling Rx'
desc = 'Time series load profiling is used to understand the relationship\
between energy use and time of day. \
This app compares load profile for pre- and post- retrocommissioning periods.'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Heat Map'
desc = 'Heat maps are a means of visualizing and presenting the\
information that is contained in a time series load profile.\
The maps color-code the size of the load so that hot spots\
and patterns are easily identified.'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
"""Name and description for of application for UI"""
name = 'AIRCx for AHUs: Supply Temperature'
desc = 'AIRCx for AHUs: Supply Temperature'
note = 'Sensitivity: value can be all, low, normal, high, or custom. ' \
'Setting values of all, low, normal, or high will ' \
'ignore other threshold values.'
return Descriptor(name=name, description=desc, note=note)
def get_self_descriptor(cls):
name = 'Cross-Sectional Benchmarking'
desc = 'Cross-sectional benchmarking is used to compare a building’s\
energy efficiency relative to a peer group. It is the first step\
in determining if performance is good or poor, and it shows\
how much potential there is to improve the building’s efficiency. '
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
"""
Description for front end.
:return:
"""
name = 'Temperature Setpoint Detector'
desc = 'Temperature Setpoint Detector'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Sensor Suitcase: Lighting'
desc = 'RCx sensor suitcase diagnostics is used to identify problems in\
the operation and performance of lighting systems in small\
commercial buildings. This diagnostic suite targets problems\
that are common to this class of buildings, specifically,\
excessive lighting during the day-time and after-hours periods. '
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Time Series Load Profiling'
desc = 'Time series load profiling is used to understand the relationship\
between energy use and time of day. Abnormalities or changes in\
load profiles can indicate inefficiencies due to scheduling errors,\
unexpected or irregular equipment operation,\
high use during unoccupied hours, or untimely peaks.'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Energy Signature and Weather Sensitivity'
desc = 'Energy signatures are used to monitor and maintain\
the performance of temperature-dependent loads such as\
whole-building electric or gas use, or heating and cooling systems\
or components.\n\
Weather sensitivity is a single summary statistic\
that contextualizes the shape of the energy signature.'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Whole-Building Energy Savings'
desc = 'Whole-building Energy savings is used to quantify\
the energy savings associated with an improvement\
in building operations or equipment. Energy savings\
is calculated as the difference between the metered\
energy use after improvements were made, and the baseline\
projection of energy use.'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Longitudinal Benchmarking'
desc = 'Longitudinal benchmarking compares the energy usage\
in a fixed period for a building, system, or component\
to a comparable "baseline" or "base" period of the same length,\
to determine if performance has deteriorated or improved,\
to set goals for a building or system,\
or to monitor for unexpectedly high usage.'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Sensor Suitcase: HVAC'
desc = 'RCx sensor suitcase diagnostics is used to identify problems in\
the operation and performance of packaged HVAC roof-top units (RTUs)\
in small commercial buildings. The diagnostic suite targets problems\
that are common to this class of buildings, specifically:\
over heating and over cooling;\
overly narrow separation between heating and cooling setpoints;\
absence of nighttime HVAC setbacks;\
RTU short-cycling;\
and non-use of the RTU economizer when outdoor conditions\
allow for ‘free cooling’. '
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Schedule Detector'
desc = 'Schedule Detector'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Hot Water Plant Data Visualization'
desc = ('Hot Water Plant Data Visualization.')
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'test_driven'
desc = 'test_driven'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'interpolation_example'
desc = 'interpolation_example'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Visualization for AHU HVAC Systems'
desc = 'Visualization for AHU HVAC Systems'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Zone Data Visualization'
desc = 'Zone Data Visualization.'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'AIRCx for Hot-Water Distributions Systems'
desc = ('Automated Retro-commissioning Diagnostics for '
'Hot-Water Distribution Systems')
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Compressor Cycling Diagnostic'
desc = 'Compressor Cycling Diagnostic'
return Descriptor(name=name, description=desc)