Buildings.Occupants.Residential.AirConditioning

Package with models to simulate air conditioning behaviors in resident buildings

Information

This package contains models to simulate air conditioning behaviors in residential buildings.

Extends from Modelica.Icons.VariantsPackage (Icon for package containing variants).

Package Content

Name	Description
Ren2014ACBedroom	A model to predict occupants' AC behavior in bedroom with indoor temperature
Ren2014ACLivingroom	A model to predict occupants' AC behavior in Livingroom with indoor temperature
Validation	Package with examples to validate models in AC package

Buildings.Occupants.Residential.AirConditioning.Ren2014ACBedroom

A model to predict occupants' AC behavior in bedroom with indoor temperature

Buildings.Occupants.Residential.AirConditioning.Ren2014ACBedroom

Information

Model predicting the state of the AC with the indoor temperature and occupancy.

Dynamics

When the space is unoccupied, the AC is always off. When the space is occupied, the lower the indoor temperature is, the lower the chance to turn on the AC and higher the chance to turn off the AC.

References

The model is documented in the paper "Ren, X., Yan, D. and Wang, C., 2014. Air-conditioning usage conditional probability model for residential buildings. Building and Environment, 81, pp.172-182."

The model parameters are regressed from the field study in China in 2014.

Extends from Modelica.Blocks.Icons.DiscreteBlock (Graphical layout of discrete block component icon).

Parameters

Type	Name	Default	Description
Real	u1	304.40	Threshold for turning off the AC of the Weibull Distribution
Real	u2	301.90	Threshold for turning on the AC of the Weibull Distribution
Real	L1	13.34	Normalization factor for turning off the AC of the Weibull Distribution
Real	L2	42.86	Normalization factor for turning on the AC of the Weibull Distribution
Real	k1	1.73	Shape factor for turning off the AC of the Weibull Distribution
Real	k2	1.80	Shape factor for turning on the AC of the Weibull Distribution
Time	samplePeriod	120	Sample period [s]
Integer	seed	10	Seed for random number generator

Connectors

Type	Name	Description
input RealInput	TIn	Indoor air temperature [K]
input BooleanInput	occ	Indoor occupancy, true for occupied
output BooleanOutput	on	State of AC

Modelica definition

model Ren2014ACBedroom "A model to predict occupants' AC behavior in bedroom with indoor temperature" extends Modelica.Blocks.Icons.DiscreteBlock; parameter Real u1 = 304.40 "Threshold for turning off the AC of the Weibull Distribution"; parameter Real u2 = 301.90 "Threshold for turning on the AC of the Weibull Distribution"; parameter Real L1 = 13.34 "Normalization factor for turning off the AC of the Weibull Distribution"; parameter Real L2 = 42.86 "Normalization factor for turning on the AC of the Weibull Distribution"; parameter Real k1 = 1.73 "Shape factor for turning off the AC of the Weibull Distribution"; parameter Real k2 = 1.80 "Shape factor for turning on the AC of the Weibull Distribution"; parameter Modelica.SIunits.Time samplePeriod = 120 "Sample period"; parameter Integer seed = 10 "Seed for random number generator"; Modelica.Blocks.Interfaces.RealInput TIn( final unit="K", displayUnit="degC") "Indoor air temperature"; Modelica.Blocks.Interfaces.BooleanInput occ "Indoor occupancy, true for occupied"; Modelica.Blocks.Interfaces.BooleanOutput on "State of AC"; Real pOn( final unit="1", final min=0, final max=1) "Probability of turning on the AC"; Real pOff( final unit="1", final min=0, final max=1) "Probability of turning off the AC"; protected parameter Modelica.SIunits.Time t0(final fixed = false) "First sample time instant"; output Boolean sampleTrigger "True, if sample time instant"; Real curSeed "Current value for seed as a real-valued variable"; initial equation t0 = time; curSeed = t0*seed; on = false "The initial state of AC is off"; pOn = 0; pOff = 0; equation sampleTrigger = sample(t0,samplePeriod); when sampleTrigger then curSeed = seed*time; pOff = if TIn <= u1 then 1 - Modelica.Math.exp(-((u1-TIn)/L1)^k1*samplePeriod) else 0; pOn = if TIn >= u2 then 1 - Modelica.Math.exp(-((TIn-u2)/L2)^k2*samplePeriod) else 0; if occ then if pre(on) then on = not Buildings.Occupants.BaseClasses.weibull1DOFF( x=TIn, u=u1, L=L1, k=k1, dt=samplePeriod, globalSeed=integer(curSeed)); else on = Buildings.Occupants.BaseClasses.weibull1DON( x=TIn, u=u2, L=L2, k=k2, dt=samplePeriod, globalSeed=integer(curSeed)); end if; else on = false; end if; end when; end Ren2014ACBedroom;

Buildings.Occupants.Residential.AirConditioning.Ren2014ACLivingroom

A model to predict occupants' AC behavior in Livingroom with indoor temperature

Buildings.Occupants.Residential.AirConditioning.Ren2014ACLivingroom

Information

Model predicting the state of the AC with the indoor temperature and occupancy.

Dynamics

When the space is unoccupied, the AC is always off. When the space is occupied, the lower the indoor temperature is, the lower the chance to turn on the AC and higher the chance to turn off the AC.

References

The model is documented in the paper "Ren, X., Yan, D. and Wang, C., 2014. Air-conditioning usage conditional probability model for residential buildings. Building and Environment, 81, pp.172-182."

The model parameters are regressed from the field study in China in 2014.

Extends from Modelica.Blocks.Icons.DiscreteBlock (Graphical layout of discrete block component icon).

Parameters

Type	Name	Default	Description
Real	u1	303.40	Threshold for turning off the AC of the Weibull Distribution
Real	u2	300.90	Threshold for turning on the AC of the Weibull Distribution
Real	L1	152.88	Normalization factor for turning off the AC of the Weibull Distribution
Real	L2	15.87	Normalization factor for turning on the AC of the Weibull Distribution
Real	k1	1.30	Shape factor for turning off the AC of the Weibull Distribution
Real	k2	2.22	Shape factor for turning on the AC of the Weibull Distribution
Time	samplePeriod	120	Sample period [s]
Integer	seed	10	Seed for random number generator

Connectors

Type	Name	Description
input RealInput	TIn	Indoor air temperature [K]
input BooleanInput	occ	Indoor occupancy, true for occupied
output BooleanOutput	on	State of AC

Modelica definition

model Ren2014ACLivingroom "A model to predict occupants' AC behavior in Livingroom with indoor temperature" extends Modelica.Blocks.Icons.DiscreteBlock; parameter Real u1 = 303.40 "Threshold for turning off the AC of the Weibull Distribution"; parameter Real u2 = 300.90 "Threshold for turning on the AC of the Weibull Distribution"; parameter Real L1 = 152.88 "Normalization factor for turning off the AC of the Weibull Distribution"; parameter Real L2 = 15.87 "Normalization factor for turning on the AC of the Weibull Distribution"; parameter Real k1 = 1.30 "Shape factor for turning off the AC of the Weibull Distribution"; parameter Real k2 = 2.22 "Shape factor for turning on the AC of the Weibull Distribution"; parameter Modelica.SIunits.Time samplePeriod = 120 "Sample period"; parameter Integer seed = 10 "Seed for random number generator"; Modelica.Blocks.Interfaces.RealInput TIn( final unit="K", displayUnit="degC") "Indoor air temperature"; Modelica.Blocks.Interfaces.BooleanInput occ "Indoor occupancy, true for occupied"; Modelica.Blocks.Interfaces.BooleanOutput on "State of AC"; Real pOn( unit="1", min=0, max=1) "Probability of turning on the AC"; Real pOff( unit="1", min=0, max=1) "Probability of turning off the AC"; protected parameter Modelica.SIunits.Time t0(final fixed = false) "First sample time instant"; output Boolean sampleTrigger "True, if sample time instant"; Real curSeed "Current value for seed as a real-valued variable"; initial equation t0 = time; curSeed = t0*seed; on = false "The initial state of AC is off"; pOn = 0; pOff = 0; equation sampleTrigger = sample(t0,samplePeriod); when sampleTrigger then curSeed = seed*time; pOff = if TIn <= u1 then 1 - Modelica.Math.exp(-((u1-TIn)/L1)^k1*samplePeriod) else 0; pOn = if TIn >= u2 then 1 - Modelica.Math.exp(-((TIn-u2)/L2)^k2*samplePeriod) else 0; if occ then if pre(on) then on = not Buildings.Occupants.BaseClasses.weibull1DOFF( x=TIn, u=u1, L=L1, k=k1, dt=samplePeriod, globalSeed=integer(curSeed)); else on = Buildings.Occupants.BaseClasses.weibull1DON( x=TIn, u=u2, L=L2, k=k2, dt=samplePeriod, globalSeed=integer(curSeed)); end if; else on = false; end if; end when; end Ren2014ACLivingroom;