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within BESTESTAir.TestCases;
model TestCase_Ideal "Testcase model with ideal airflow"
extends Modelica.Icons.Example;
BaseClasses.Case900FF zon(mAir_flow_nominal=fcu.mAir_flow_nominal)
annotation (Placement(transformation(extent={{34,-10},{54,10}})));
BaseClasses.Thermostat_T con "Thermostat controller"
annotation (
Placement(transformation(extent={{-80,-10},{-60,10}})));
BaseClasses.FanCoilUnit_T fcu "Fan coil unit"
annotation (
Placement(transformation(extent={{-20,-8},{0,20}})));
equation
connect(fcu.supplyAir, zon.supplyAir) annotation (Line(points={{0,13.7778},{
20,13.7778},{20,2},{34,2}}, color={0,127,255}));
connect(fcu.returnAir, zon.returnAir) annotation (Line(points={{0,-6.44444},{
20,-6.44444},{20,-2},{34,-2}}, color={0,127,255}));
connect(zon.TRooAir, con.TZon) annotation (Line(points={{61,0},{80,0},{80,-40},
{-100,-40},{-100,0},{-82,0}}, color={0,0,127}));
connect(con.TSup, fcu.TSup) annotation (Line(points={{-59,6},{-44,6},{-44,
9.11111},{-21.4286,9.11111}}, color={0,0,127}));
connect(con.yFan, fcu.uFan) annotation (Line(points={{-59,0},{-44,0},{-44,
2.88889},{-21.4286,2.88889}}, color={0,0,127}));
annotation (__Buildings(semantic(
metdataLanguageDefinition="Brick 1.3 text/turtle" "https://brickschema.org",
metadataLanguage="Brick 1.3 text/turtle"
"@prefix bldg: <https://BESTESTAir.urn#> .
@prefix brick: <https://brickschema.org/schema/Brick#> .
@prefix ref: <https://brickschema.org/schema/Brick/ref#> .
@prefix literal: <https://literal_values.urn#> .
@prefix quantitykind: <http://qudt.org/vocab/quantitykind/> .
@prefix qudt: <http://qudt.org/schema/qudt/> .
@prefix sh: <http://www.w3.org/ns/shacl#> .
@prefix boptestrules: <https://boptest-rules.urn#> .
bldg:con a brick:Thermostat;
boptestrules:sameAs bldg:con_Thermostat_T .
bldg:fcu a brick:FCU ;
boptestrules:sameAs bldg:fcu_FanCoilUnit_T .
bldg:zon a brick:Zone ;
brick:isLocationOf bldg:con .
bldg:fcu brick:feeds bldg:zon .
")),
Icon(coordinateSystem(preserveAspectRatio=false)), Diagram(
coordinateSystem(preserveAspectRatio=false)),
experiment(
StopTime=31536000,
Interval=300,
Tolerance=1e-06,
__Dymola_Algorithm="Cvode"),
Documentation(info="<html>
General model description.
<h3>Building Design and Use</h3>
<h4>Architecture</h4>
<p>
The building is a single room based on the BESTEST Case 900 model definition.
The floor dimensions are 6m x 8m and the floor-to-ceiling height is 2.7m.
There are four exterior walls facing the cardinal directions and a flat roof.
The walls facing east-west have the short dimension. The south wall contains
two windows, each 3m wide and 2m tall. The use of the building is assumed
to be a two-person office with a light load density.
</p>
<h4>Constructions</h4>
<p>
The constructions are based on the BESTEST Case 900 model definition. The
exterior walls are made of concrete block and insulation, while the floor
is a concrete slab. The roof is made of wood frame with insulation. The
layer-by-layer specifications are (Outside to Inside):
</p>
<p>
<b>Exterior Walls</b>
<table>
<tr>
<th>Name</th>
<th>Thickness [m]</th>
<th>Thermal Conductivity [W/m-K]</th>
<th>Specific Heat Capacity [J/kg-K]</th>
<th>Density [kg/m3]</th>
</tr>
<tr>
<td>Layer 1</td>
<td>0.009</td>
<td>0.140</td>
<td>900</td>
<td>530</td>
</tr>
<tr>
<td>Layer 2</td>
<td>0.0615</td>
<td>0.040</td>
<td>1400</td>
<td>10</td>
</tr>
<tr>
<td>Layer 3</td>
<td>0.100</td>
<td>0.510</td>
<td>1000</td>
<td>1400</td>
</tr>
</table>
<table>
<tr>
<th>Name</th>
<th>IR Emissivity [-]</th>
<th>Solar Emissivity [-]</th>
</tr>
<tr>
<td>Outside</td>
<td>0.9</td>
<td>0.6</td>
</tr>
<tr>
<td>Inside</td>
<td>0.9</td>
<td>0.6</td>
</tr>
</table>
</p>
<p>
<b>Floor</b>
<table>
<tr>
<th>Name</th>
<th>Thickness [m]</th>
<th>Thermal Conductivity [W/m-K]</th>
<th>Specific Heat Capacity [J/kg-K]</th>
<th>Density [kg/m3]</th>
</tr>
<tr>
<td>Layer 1</td>
<td>1.007</td>
<td>0.040</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>Layer 2</td>
<td>0.080</td>
<td>1.130</td>
<td>1000</td>
<td>1400</td>
</tr>
</table>
<table>
<tr>
<th>Name</th>
<th>IR Emissivity [-]</th>
<th>Solar Emissivity [-]</th>
</tr>
<tr>
<td>Outside</td>
<td>0.9</td>
<td>0.6</td>
</tr>
<tr>
<td>Inside</td>
<td>0.9</td>
<td>0.6</td>
</tr>
</table>
</p>
<p>
<b>Roof</b>
<table>
<tr>
<th>Name</th>
<th>Thickness [m]</th>
<th>Thermal Conductivity [W/m-K]</th>
<th>Specific Heat Capacity [J/kg-K]</th>
<th>Density [kg/m3]</th>
</tr>
<tr>
<td>Layer 1</td>
<td>0.019</td>
<td>0.140</td>
<td>900</td>
<td>530</td>
</tr>
<tr>
<td>Layer 2</td>
<td>0.1118</td>
<td>0.040</td>
<td>840</td>
<td>12</td>
</tr>
<tr>
<td>Layer 3</td>
<td>0.010</td>
<td>0.160</td>
<td>840</td>
<td>950</td>
</tr>
</table>
<table>
<tr>
<th>Name</th>
<th>IR Emissivity [-]</th>
<th>Solar Emissivity [-]</th>
</tr>
<tr>
<td>Outside</td>
<td>0.9</td>
<td>0.6</td>
</tr>
<tr>
<td>Inside</td>
<td>0.9</td>
<td>0.6</td>
</tr>
</table>
<p>
The windows are double pane clear 3.175mm glass with 13mm air gap.
</p>
<h4>Occupancy schedules</h4>
<p>
There is maximum occupancy (two people) from 8am to 6pm each day,
and no occupancy during all other times.
</p>
<h4>Internal loads and schedules</h4>
<p>
The internal heat gains from plug loads come mainly from computers and monitors.
The internal heat gains from lighting come from hanging fluorescent fixtures.
Both types of loads are at maximum during occupied periods and 0.1 maximum
during all other times. The occupied heating and cooling temperature
setpoints are 21 C and 24 C respectively, while the unoccupied heating
and cooling temperature setpoints are 15 C and 30 C respectively.
</p>
<h4>Climate data</h4>
<p>
The climate is assumed to be near Denver, CO, USA with a latitude and
longitude of 39.76,-104.86. The climate data comes from the
Denver-Stapleton,CO,USA,TMY.
</p>
<h3>HVAC System Design</h3>
<h4>Primary and secondary system designs</h4>
<p>
Heating and cooling is provided to the office using an idealized four-pipe
fan coil unit (FCU), presented in Figure 1 below.
The FCU contains a fan, cooling coil, heating coil,
and filter. The fan draws room air into the unit, blows it over the coils
and through the filter, and supplies the conditioned air back to the room.
There is a variable speed drive serving the fan motor. The cooling coil
is served by chilled water produced by a chiller and the heating coil is
served by hot water produced by a gas boiler.
</p>
<p>
<br>
</p>
<p>
<img src=\"../../../doc/images/Schematic.png\"/>
<figcaption><small>Figure 1: System schematic.</small></figcaption>
</p>
<p>
<br>
</p>
<h4>Equipment specifications and performance maps</h4>
<p>
For the fan, the design airflow rate is 0.55 kg/s and design pressure rise is
185 Pa. The fan and motor efficiencies are both constant at 0.7.
The heat from the motor is added to the air stream.
The COP of the chiller is assumed constant at 3.0. The efficiency of the
gas boiler is assumed constant at 0.9.
</p>
<h4>Rule-based or local-loop controllers (if included)</h4>
<p>
A baseline thermostat controller provides heating and cooling as necessary
to the room by modulating the supply air temperature and
fan speed. The thermostat, designated as C1 in Figure 1 and shown in Figure 2 below,
uses two different PI controllers for heating and
cooling, each taking the respective zone temperature set point and zone
temperature measurement as inputs. The outputs are used to control supply air
temperature set point and fan speed according to the map shown in Figure 3 below.
The supply air temperature is exactly met by the coils using an ideal controller
depicted as C2 in Figure 1.
For heating, the maximum supply air temperature is 40 C and the minimum is the
zone occupied heating temperature setpoint. For cooling, the minimum supply
air temperature is 12 C and the maximum is the zone occupied cooling
temperature setpoint.
</p>
<p>
<br>
</p>
<p>
<img src=\"../../../doc/images/C1.png\"/>
<figcaption><small>Figure 2: Controller C1.</small></figcaption>
</p>
<p>
<br>
</p>
<p>
<img src=\"../../../doc/images/ControlSchematic_Ideal.png\" width=600 />
<figcaption><small>Figure 3: Mapping of PI output to supply air temperature set point and fan speed in controller C1.</small></figcaption>
</p>
<p>
<br>
</p>
<h3>Model IO's</h3>
<h4>Inputs</h4>
The model inputs are:
<ul>
<li>
<code>con_oveTSetCoo_activate</code> [1] [min=0, max=1]: Activation signal to overwrite input con_oveTSetCoo_u where 1 activates, 0 deactivates (default value)
</li>
<li>
<code>con_oveTSetCoo_u</code> [K] [min=296.15, max=303.15]: Zone temperature setpoint for cooling
</li>
<li>
<code>con_oveTSetHea_activate</code> [1] [min=0, max=1]: Activation signal to overwrite input con_oveTSetHea_u where 1 activates, 0 deactivates (default value)
</li>
<li>
<code>con_oveTSetHea_u</code> [K] [min=288.15, max=296.15]: Zone temperature setpoint for heating
</li>
<li>
<code>fcu_oveFan_activate</code> [1] [min=0, max=1]: Activation signal to overwrite input fcu_oveFan_u where 1 activates, 0 deactivates (default value)
</li>
<li>
<code>fcu_oveFan_u</code> [1] [min=0.0, max=1.0]: Fan control signal as air mass flow rate normalized to the design air mass flow rate
</li>
<li>
<code>fcu_oveTSup_activate</code> [1] [min=0, max=1]: Activation signal to overwrite input fcu_oveTSup_u where 1 activates, 0 deactivates (default value)
</li>
<li>
<code>fcu_oveTSup_u</code> [K] [min=285.15, max=313.15]: Supply air temperature setpoint
</li>
</ul>
<h4>Outputs</h4>
The model outputs are:
<ul>
<li>
<code>fcu_reaFloSup_y</code> [kg/s] [min=None, max=None]: Supply air mass flow rate
</li>
<li>
<code>fcu_reaPCoo_y</code> [W] [min=None, max=None]: Cooling electrical power consumption
</li>
<li>
<code>fcu_reaPFan_y</code> [W] [min=None, max=None]: Supply fan electrical power consumption
</li>
<li>
<code>fcu_reaPHea_y</code> [W] [min=None, max=None]: Heating thermal power consumption
</li>
<li>
<code>zon_reaCO2RooAir_y</code> [ppm] [min=None, max=None]: Zone air CO2 concentration
</li>
<li>
<code>zon_reaPLig_y</code> [W] [min=None, max=None]: Lighting power submeter
</li>
<li>
<code>zon_reaPPlu_y</code> [W] [min=None, max=None]: Plug load power submeter
</li>
<li>
<code>zon_reaTRooAir_y</code> [K] [min=None, max=None]: Zone air temperature
</li>
<li>
<code>zon_weaSta_reaWeaCeiHei_y</code> [m] [min=None, max=None]: Cloud cover ceiling height measurement
</li>
<li>
<code>zon_weaSta_reaWeaCloTim_y</code> [s] [min=None, max=None]: Day number with units of seconds
</li>
<li>
<code>zon_weaSta_reaWeaHDifHor_y</code> [W/m2] [min=None, max=None]: Horizontal diffuse solar radiation measurement
</li>
<li>
<code>zon_weaSta_reaWeaHDirNor_y</code> [W/m2] [min=None, max=None]: Direct normal radiation measurement
</li>
<li>
<code>zon_weaSta_reaWeaHGloHor_y</code> [W/m2] [min=None, max=None]: Global horizontal solar irradiation measurement
</li>
<li>
<code>zon_weaSta_reaWeaHHorIR_y</code> [W/m2] [min=None, max=None]: Horizontal infrared irradiation measurement
</li>
<li>
<code>zon_weaSta_reaWeaLat_y</code> [rad] [min=None, max=None]: Latitude of the location
</li>
<li>
<code>zon_weaSta_reaWeaLon_y</code> [rad] [min=None, max=None]: Longitude of the location
</li>
<li>
<code>zon_weaSta_reaWeaNOpa_y</code> [1] [min=None, max=None]: Opaque sky cover measurement
</li>
<li>
<code>zon_weaSta_reaWeaNTot_y</code> [1] [min=None, max=None]: Sky cover measurement
</li>
<li>
<code>zon_weaSta_reaWeaPAtm_y</code> [Pa] [min=None, max=None]: Atmospheric pressure measurement
</li>
<li>
<code>zon_weaSta_reaWeaRelHum_y</code> [1] [min=None, max=None]: Outside relative humidity measurement
</li>
<li>
<code>zon_weaSta_reaWeaSolAlt_y</code> [rad] [min=None, max=None]: Solar altitude angle measurement
</li>
<li>
<code>zon_weaSta_reaWeaSolDec_y</code> [rad] [min=None, max=None]: Solar declination angle measurement
</li>
<li>
<code>zon_weaSta_reaWeaSolHouAng_y</code> [rad] [min=None, max=None]: Solar hour angle measurement
</li>
<li>
<code>zon_weaSta_reaWeaSolTim_y</code> [s] [min=None, max=None]: Solar time
</li>
<li>
<code>zon_weaSta_reaWeaSolZen_y</code> [rad] [min=None, max=None]: Solar zenith angle measurement
</li>
<li>
<code>zon_weaSta_reaWeaTBlaSky_y</code> [K] [min=None, max=None]: Black-body sky temperature measurement
</li>
<li>
<code>zon_weaSta_reaWeaTDewPoi_y</code> [K] [min=None, max=None]: Dew point temperature measurement
</li>
<li>
<code>zon_weaSta_reaWeaTDryBul_y</code> [K] [min=None, max=None]: Outside drybulb temperature measurement
</li>
<li>
<code>zon_weaSta_reaWeaTWetBul_y</code> [K] [min=None, max=None]: Wet bulb temperature measurement
</li>
<li>
<code>zon_weaSta_reaWeaWinDir_y</code> [rad] [min=None, max=None]: Wind direction measurement
</li>
<li>
<code>zon_weaSta_reaWeaWinSpe_y</code> [m/s] [min=None, max=None]: Wind speed measurement
</li>
</ul>
<h4>Forecasts</h4>
The model forecasts are:
<ul>
<li>
<code>EmissionsElectricPower</code> [kgCO2/kWh]: Kilograms of carbon dioxide to produce 1 kWh of electricity
</li>
<li>
<code>EmissionsGasPower</code> [kgCO2/kWh]: Kilograms of carbon dioxide to produce 1 kWh thermal from gas
</li>
<li>
<code>HDifHor</code> [W/m2]: Horizontal diffuse solar radiation
</li>
<li>
<code>HDirNor</code> [W/m2]: Direct normal radiation
</li>
<li>
<code>HGloHor</code> [W/m2]: Horizontal global radiation
</li>
<li>
<code>HHorIR</code> [W/m2]: Horizontal infrared irradiation
</li>
<li>
<code>InternalGainsCon[1]</code> [W]: Convective internal gains of zone
</li>
<li>
<code>InternalGainsLat[1]</code> [W]: Latent internal gains of zone
</li>
<li>
<code>InternalGainsRad[1]</code> [W]: Radiative internal gains of zone
</li>
<li>
<code>LowerSetp[1]</code> [K]: Lower temperature set point for thermal comfort of zone
</li>
<li>
<code>Occupancy[1]</code> [number of people]: Number of occupants of zone
</li>
<li>
<code>PriceElectricPowerConstant</code> [($/Euro)/kWh]: Completely constant electricity price
</li>
<li>
<code>PriceElectricPowerDynamic</code> [($/Euro)/kWh]: Electricity price for a day/night tariff
</li>
<li>
<code>PriceElectricPowerHighlyDynamic</code> [($/Euro)/kWh]: Spot electricity price
</li>
<li>
<code>PriceGasPower</code> [($/Euro)/kWh]: Price to produce 1 kWh thermal from gas
</li>
<li>
<code>TBlaSky</code> [K]: Black Sky temperature
</li>
<li>
<code>TDewPoi</code> [K]: Dew point temperature
</li>
<li>
<code>TDryBul</code> [K]: Dry bulb temperature at ground level
</li>
<li>
<code>TWetBul</code> [K]: Wet bulb temperature
</li>
<li>
<code>UpperCO2[1]</code> [ppm]: Upper CO2 set point for indoor air quality of zone
</li>
<li>
<code>UpperSetp[1]</code> [K]: Upper temperature set point for thermal comfort of zone
</li>
<li>
<code>ceiHei</code> [m]: Ceiling height
</li>
<li>
<code>cloTim</code> [s]: One-based day number in seconds
</li>
<li>
<code>lat</code> [rad]: Latitude of the location
</li>
<li>
<code>lon</code> [rad]: Longitude of the location
</li>
<li>
<code>nOpa</code> [1]: Opaque sky cover [0, 1]
</li>
<li>
<code>nTot</code> [1]: Total sky Cover [0, 1]
</li>
<li>
<code>pAtm</code> [Pa]: Atmospheric pressure
</li>
<li>
<code>relHum</code> [1]: Relative Humidity
</li>
<li>
<code>solAlt</code> [rad]: Altitude angel
</li>
<li>
<code>solDec</code> [rad]: Declination angle
</li>
<li>
<code>solHouAng</code> [rad]: Solar hour angle.
</li>
<li>
<code>solTim</code> [s]: Solar time
</li>
<li>
<code>solZen</code> [rad]: Zenith angle
</li>
<li>
<code>winDir</code> [rad]: Wind direction
</li>
<li>
<code>winSpe</code> [m/s]: Wind speed
</li>
</ul>
<ul>
<h3>Additional System Design</h3>
<h4>Lighting</h4>
<p>
Artificial lighting is provided by hanging fluorescent fixtures.
</p>
<h4>Shading</h4>
<p>
There are no shades on the building.
</p>
<h4>Onsite Generation and Storage</h4>
<p>
There is no energy generation or storage on the site.
</p>
<h3>Model Implementation Details</h3>
<h4>Moist vs. dry air</h4>
<p>
A moist air model is used, but condensation is not modeled on the cooling coil
and humidity is not monitored.
</p>
<h4>Pressure-flow models</h4>
<p>
The FCU fan is speed-controlled and the resulting flow is calculated based
on resulting pressure rise by the fan and fixed pressure drop of the system.
</p>
<h4>Infiltration models</h4>
<p>
A constant infiltration flowrate is assumed to be 0.5 ACH.
</p>
<h4>Other assumptions</h4>
<p>
The supply air temperature is directly specified.
</p>
<p>
CO2 generation is 0.0048 L/s per person (Table 5, Persily and De Jonge 2017)
and density of CO2 assumed to be 1.8 kg/m^3,
making CO2 generation 8.64e-6 kg/s per person.
Outside air CO2 concentration is 400 ppm. However, CO2 concentration
is not controlled for in the model.
</p>
<p>
Persily, A. and De Jonge, L. (2017).
Carbon dioxide generation rates for building occupants.
Indoor Air, 27, 868–879. https://doi.org/10.1111/ina.12383.
</p>
<h3>Scenario Information</h3>
<h4>Time Periods</h4>
<p>
The <b>Peak Heat Day</b> (specifier for <code>/scenario</code> API is <code>'peak_heat_day'</code>) period is:
<ul>
This testing time period is a two-week test with one-week warmup period utilizing
baseline control. The two-week period is centered on the day with the
maximum 15-minute system heating load in the year.
</ul>
<ul>
Start Time: Day 334.
</ul>
<ul>
End Time: Day 348.
</ul>
</p>
<p>
The <b>Typical Heat Day</b> (specifier for <code>/scenario</code> API is <code>'typical_heat_day'</code>) period is:
<ul>
This testing time period is a two-week test with one-week warmup period utilizing
baseline control. The two-week period is centered on the day with day with
the maximum 15-minute system heating load that is closest from below to the
median of all 15-minute maximum heating loads of all days in the year.
</ul>
<ul>
Start Time: Day 44.
</ul>
<ul>
End Time: Day 58.
</ul>
</p>
<p>
The <b>Peak Cool Day</b> (specifier for <code>/scenario</code> API is <code>'peak_cool_day'</code>) period is:
<ul>
This testing time period is a two-week test with one-week warmup period utilizing
baseline control. The two-week period is centered on the day with the
maximum 15-minute system cooling load in the year.
</ul>
<ul>
Start Time: Day 282.
</ul>
<ul>
End Time: Day 296.
</ul>
</p>
<p>
The <b>Typical Cool Day</b> (specifier for <code>/scenario</code> API is <code>'typical_cool_day'</code>) period is:
<ul>
This testing time period is a two-week test with one-week warmup period utilizing
baseline control. The two-week period is centered on the day with day with
the maximum 15-minute system cooling load that is closest from below to the
median of all 15-minute maximum cooling loads of all days in the year.
</ul>
<ul>
Start Time: Day 146.
</ul>
<ul>
End Time: Day 160.
</ul>
</p>
<p>
The <b>Mix Day</b> (specifier for <code>/scenario</code> API is <code>'mix_day'</code>) period is:
<ul>
This testing time period is a two-week test with one-week warmup period utilizing
baseline control. The two-week period is centered on the day with the maximimum
sum of daily heating and cooling loads minus the difference between
daily heating and cooling loads. This is a day with both significant heating
and cooling loads.
</ul>
<ul>
Start Time: Day 14.
</ul>
<ul>
End Time: Day 28.
</ul>
</p>
<h4>Energy Pricing</h4>
<p>
The <b>Constant Electricity Price</b> (specifier for <code>/scenario</code> API is <code>'constant'</code>) profile is:
<ul>
Based on the Schedule R tariff
for winter season and summer season first 500 kWh as defined by the
utility servicing the assumed location of the test case. It is $0.05461/kWh.
For reference,
see https://www.xcelenergy.com/company/rates_and_regulations/rates/rate_books
in the section on Current Tariffs/Electric Rate Books (PDF).
</ul>
<ul>
Specifier for <code>/scenario</code> API is <code>'constant'</code>.
</ul>
</p>
<p>
The <b>Dynamic Electricity Price</b> (specifier for <code>/scenario</code> API is <code>'dynamic'</code>) profile is:
<ul>
Based on the Schedule RE-TOU tariff
as defined by the utility servicing the assumed location of the test case.
For reference,
see https://www.xcelenergy.com/company/rates_and_regulations/rates/rate_books
in the section on Current Tariffs/Electric Rate Books (PDF).
</ul>
</p>
<p>
<ul>
<li>
Summer on-peak is $0.13814/kWh.
</li>
<li>
Summer mid-peak is $0.08420/kWh.
</li>
<li>
Summer off-peak is $0.04440/kWh.
</li>
<li>
Winter on-peak is $0.08880/kWh.
</li>
<li>
Winter mid-peak is $0.05413/kWh.
</li>
<li>
Winter off-peak is $0.04440/kWh.
</li>
<li>
The Summer season is June 1 to September 30.
</li>
<li>
The Winter season is October 1 to May 31.
</li>
</p>
<p>
<u>The On-Peak Period is</u>:
<ul>
<li>
Summer and Winter weekdays except Holidays, between 2:00 p.m. and 6:00 p.m.
local time.
</li>
</ul>
<u>The Mid-Peak Period is</u>:
<ul>
<li>
Summer and Winter weekdays except Holidays, between 9:00 a.m. and
2:00 p.m. and between 6:00 p.m. and 9:00 p.m. local time.
</li>
<li>
Summer and Winter weekends and Holidays, between 9:00 a.m. and
9:00 p.m. local time.
</li>
</ul>
<u>The Off-Peak Period is</u>:
<ul>
<li>
Summer and Winter daily, between 9:00 p.m. and 9:00 a.m. local time.
</li>
</ul>
</ul>
</p>
<p>
The <b>Highly Dynamic Electricity Price</b> (specifier for <code>/scenario</code> API is <code>'highly_dynamic'</code>) profile is:
<ul>
Based on the the
day-ahead energy prices (LMP) as determined in the Southwest Power Pool
wholesale electricity market for node LAM345 in the year 2018.
For reference,
see https://marketplace.spp.org/pages/da-lmp-by-location#%2F2018.
</ul>
</p>
<p>
The <b>Gas Price</b> profile is:
<ul>
Based on the Schedule R tariff for usage price per therm as defined by the
utility servicing the assumed location of the test case. It is $0.002878/kWh
($0.0844/therm).
For reference,
see https://www.xcelenergy.com/company/rates_and_regulations/rates/rate_books
in the section on Summary of Gas Rates for 10/1/19.
</ul>
</p>
<h4>Emission Factors</h4>
<p>
The <b>Electricity Emissions Factor</b> profile is:
<ul>
Based on the average electricity generation mix for CO,USA for the year of
2017. It is 0.6618 kgCO2/kWh (1459 lbsCO2/MWh).
For reference,
see https://www.eia.gov/electricity/state/colorado/.
</ul>
</p>
<p>
The <b>Gas Emissions Factor</b> profile is:
<ul>
Based on the kgCO2 emitted per amount of natural gas burned in terms of
energy content. It is 0.18108 kgCO2/kWh (53.07 kgCO2/milBTU).
For reference,
see https://www.eia.gov/environment/emissions/co2_vol_mass.php.
</ul>
</p>
</html>",
revisions="<html>
<ul>
<li>
August 25, 2022, by David Blum:<br/>
Add forecast point documentation.
This is for <a href=https://github.com/ibpsa/project1-boptest/issues/356>
BOPTEST issue #356</a>.
</li>
<li>
December 6, 2021, by David Blum:<br/>
Correct mix day time period.
This is for <a href=https://github.com/ibpsa/project1-boptest/issues/381>
BOPTEST issue #381</a>.
</li>
<li>
April 13, 2021, by David Blum:<br/>
Add time period documentation.
</li>
<li>
November 10, 2020, by David Blum:<br/>
Add weather station measurements.
</li>
<li>
March 4, 2020, by David Blum:<br/>
Updated CO2 generation per person and method of ppm calculation.
</li>
<li>
December 15, 2019, by David Blum:<br/>
First implementation.
</li>
</ul>
</html>"));
end TestCase_Ideal;