lib/openstudio/extension/core/CreateResults.rb in openstudio-extension-0.1.5 vs lib/openstudio/extension/core/CreateResults.rb in openstudio-extension-0.1.6
- old
+ new
@@ -43,19 +43,37 @@
# @param start_day [Integer] the start day for the peak demand window
# @param start_hr [Integer] the start hour for the peak demand window, using 24-hr clock
# @param end_mo [String] the end month for the peak demand window
# @param end_day [Integer] the end day for the peak demand window
# @param end_hr [Integer] the end hour for the peak demand window, using 24-hr clock
+ # @param electricity_consumption_tou_periods [Array<Hash>] optional array of hashes to add
+ # time-of-use electricity consumption values to the annual consumption information.
+ # Periods may overlap, but should be listed in the order in which they must be checked,
+ # where the value will be assigned to the first encountered period it falls into.
+ # An example hash looks like this:
+ # {
+ # 'tou_name' => 'system_peak',
+ # 'tou_id' => 1,
+ # 'skip_weekends' => true,
+ # 'skip_holidays' => true,
+ # 'start_mo' => 'July',
+ # 'start_day' => 1,
+ # 'start_hr' => 14,
+ # 'end_mo' => 'August',
+ # 'end_day' => 31,
+ # 'end_hr' => 18
+ # }
# @return [OpenStudio::AttributeVector] a vector of results needed by EDAPT
def create_results(skip_weekends = true,
skip_holidays = true,
start_mo = 'June',
start_day = 1,
start_hr = 14,
end_mo = 'September',
end_day = 30,
- end_hr = 18)
+ end_hr = 18,
+ electricity_consumption_tou_periods = [])
# get the current version of OS being used to determine if sql query
# changes are needed (for when E+ changes).
os_version = OpenStudio::VersionString.new(OpenStudio.openStudioVersion)
@@ -495,10 +513,87 @@
@runner.registerError('Peak Demand timeseries (Electricity:Facility at zone timestep) could not be found, cannot determine the informatino needed to calculate savings or incentives.')
demand_elems << OpenStudio::Attribute.new('electricity_peak_demand', 0.0, 'kW')
@runner.registerValue('annual_demand_electricity_peak_demand', 0.0, 'kW')
end
+ # Describe the TOU periods
+ electricity_consumption_tou_periods.each do |tou_pd|
+ @runner.registerInfo("TOU period #{tou_pd['tou_id']} represents #{tou_pd['tou_name']} and covers #{tou_pd['start_mo']}-#{tou_pd['start_day']} to #{tou_pd['end_mo']}-#{tou_pd['end_day']} from #{tou_pd['start_hr']} to #{tou_pd['end_hr']}, skip weekends = #{tou_pd['skip_weekends']}, skip holidays = #{tou_pd['skip_holidays']}")
+ end
+
+ # electricity time-of-use periods
+ elec = @sql.timeSeries(ann_env_pd, 'Zone Timestep', 'Electricity:Facility', '')
+ if elec.is_initialized && day_types
+ elec = elec.get
+ # Put timeseries into array
+ elec_vals = []
+ ann_elec_vals = elec.values
+ for i in 0..(ann_elec_vals.size - 1)
+ elec_vals << ann_elec_vals[i]
+ end
+
+ # Put values into array
+ elec_times = []
+ ann_elec_times = elec.dateTimes
+ for i in 0..(ann_elec_times.size - 1)
+ elec_times << ann_elec_times[i]
+ end
+
+ # Loop through the time/value pairs and find the peak
+ # excluding the times outside of the Xcel peak demand window
+ electricity_tou_vals = Hash.new(0)
+ elec_times.zip(elec_vals).each_with_index do |vs, ind|
+ date_time = vs[0]
+ joules = vs[1]
+ day_type = day_types[ind]
+ time = date_time.time
+ date = date_time.date
+
+ # puts("#{val_kW}kW; #{date}; #{time}; #{day_of_week.valueName}")
+
+ # Determine which TOU period this hour falls into
+ tou_period_assigned = false
+ electricity_consumption_tou_periods.each do |tou_pd|
+ pd_start_date = OpenStudio::DateTime.new(OpenStudio::Date.new(OpenStudio::MonthOfYear.new(tou_pd['start_mo']), tou_pd['start_day'], timeseries_yr), OpenStudio::Time.new(0, 0, 0, 0))
+ pd_end_date = OpenStudio::DateTime.new(OpenStudio::Date.new(OpenStudio::MonthOfYear.new(tou_pd['end_mo']), tou_pd['end_day'], timeseries_yr), OpenStudio::Time.new(0, 24, 0, 0))
+ pd_start_time = OpenStudio::Time.new(0, tou_pd['start_hr'], 0, 0)
+ pd_end_time = OpenStudio::Time.new(0, tou_pd['end_hr'], 0, 0)
+ # Skip times outside of the correct months
+ next if date_time < pd_start_date || date_time > pd_end_date
+ # Skip times before some time and after another time
+ next if time < pd_start_time || time > pd_end_time
+ # Skip weekends if asked
+ if tou_pd['skip_weekends']
+ # Sunday = 1, Saturday = 7
+ next if day_type == 1 || day_type == 7
+ end
+ # Skip holidays if asked
+ if tou_pd['skip_holidays']
+ # Holiday = 8
+ next if day_type == 8
+ end
+ # If here, this hour falls into the specified period
+ tou_period_assigned = true
+ electricity_tou_vals[tou_pd['tou_id']] += joules
+ break
+ end
+ # Ensure that the value fell into a period
+ unless tou_period_assigned
+ @runner.registerError("Did not find a TOU period covering #{time} on #{date}, kWh will not be included in any TOU period.")
+ end
+ end
+ # Register values for any time-of-use period with kWh
+ electricity_tou_vals.each do |tou_pd_id, joules_in_pd|
+ gj_in_pd = OpenStudio.convert(joules_in_pd, 'J', 'GJ').get
+ kwh_in_pd = OpenStudio.convert(joules_in_pd, 'J', 'kWh').get
+ @runner.registerValue("annual_consumption_electricity_tou_#{tou_pd_id}", gj_in_pd, 'GJ')
+ @runner.registerInfo("TOU period #{tou_pd_id} annual electricity consumption = #{kwh_in_pd} kWh.")
+ end
+ else
+ @runner.registerError('Electricity timeseries (Electricity:Facility at zone timestep) could not be found, cannot determine the information needed to calculate savings or incentives.')
+ end
+
# electricity_annual_avg_peak_demand
val = @sql.electricityTotalEndUses
if val.is_initialized
ann_elec_gj = OpenStudio::Quantity.new(val.get, gigajoule_unit)
ann_hrs = OpenStudio::Quantity.new(hrs_sim, hrs_unit)
@@ -583,9 +678,91 @@
@runner.registerValue('annual_demand_district_cooling_peak_demand', district_cooling_peak_demand, 'kW')
@runner.registerInfo("District Cooling Peak Demand = #{district_cooling_peak_demand.round(2)}kW on #{ann_dist_clg_peak_demand_time}")
else
demand_elems << OpenStudio::Attribute.new('district_cooling_peak_demand', 0.0, 'kW')
@runner.registerValue('annual_demand_district_cooling_peak_demand', 0.0, 'kW')
+ end
+
+ # district cooling time-of-use periods
+ dist_clg = @sql.timeSeries(ann_env_pd, 'Zone Timestep', 'DistrictCooling:Facility', '')
+ if dist_clg.is_initialized && day_types
+ dist_clg = dist_clg.get
+ # Put timeseries into array
+ dist_clg_vals = []
+ ann_dist_clg_vals = dist_clg.values
+ for i in 0..(ann_dist_clg_vals.size - 1)
+ dist_clg_vals << ann_dist_clg_vals[i]
+ end
+
+ # Put values into array
+ dist_clg_times = []
+ ann_dist_clg_times = dist_clg.dateTimes
+ for i in 0..(ann_dist_clg_times.size - 1)
+ dist_clg_times << ann_dist_clg_times[i]
+ end
+
+ # Loop through the time/value pairs and find the peak
+ # excluding the times outside of the Xcel peak demand window
+ dist_clg_tou_vals = Hash.new(0)
+ dist_clg_times.zip(dist_clg_vals).each_with_index do |vs, ind|
+ date_time = vs[0]
+ joules = vs[1]
+ day_type = day_types[ind]
+ time = date_time.time
+ date = date_time.date
+
+ # puts("#{val_kW}kW; #{date}; #{time}; #{day_of_week.valueName}")
+
+ # Determine which TOU period this hour falls into
+ tou_period_assigned = false
+ electricity_consumption_tou_periods.each do |tou_pd|
+ pd_start_date = OpenStudio::DateTime.new(OpenStudio::Date.new(OpenStudio::MonthOfYear.new(tou_pd['start_mo']), tou_pd['start_day'], timeseries_yr), OpenStudio::Time.new(0, 0, 0, 0))
+ pd_end_date = OpenStudio::DateTime.new(OpenStudio::Date.new(OpenStudio::MonthOfYear.new(tou_pd['end_mo']), tou_pd['end_day'], timeseries_yr), OpenStudio::Time.new(0, 24, 0, 0))
+ pd_start_time = OpenStudio::Time.new(0, tou_pd['start_hr'], 0, 0)
+ pd_end_time = OpenStudio::Time.new(0, tou_pd['end_hr'], 0, 0)
+ # Skip times outside of the correct months
+ next if date_time < pd_start_date || date_time > pd_end_date
+ # Skip times before some time and after another time
+ next if time < pd_start_time || time > pd_end_time
+ # Skip weekends if asked
+ if tou_pd['skip_weekends']
+ # Sunday = 1, Saturday = 7
+ next if day_type == 1 || day_type == 7
+ end
+ # Skip holidays if asked
+ if tou_pd['skip_holidays']
+ # Holiday = 8
+ next if day_type == 8
+ end
+ # If here, this hour falls into the specified period
+ tou_period_assigned = true
+ dist_clg_tou_vals[tou_pd['tou_id']] += joules
+ break
+ end
+ # Ensure that the value fell into a period
+ unless tou_period_assigned
+ @runner.registerError("Did not find a TOU period covering #{time} on #{date}, kWh will not be included in any TOU period.")
+ end
+ end
+ # Register values for any time-of-use period with kWh
+ dist_clg_tou_vals.each do |tou_pd_id, joules_in_pd|
+ gj_in_pd = OpenStudio.convert(joules_in_pd, 'J', 'GJ').get
+ kwh_in_pd = OpenStudio.convert(joules_in_pd, 'J', 'kWh').get
+ @runner.registerValue("annual_consumption_district_cooling_tou_#{tou_pd_id}", gj_in_pd, 'GJ')
+ @runner.registerInfo("TOU period #{tou_pd_id} annual district cooling consumption = #{kwh_in_pd} kWh.")
+ end
+ else
+ # If TOU periods were specified but this model has no district cooling, report zeroes
+ if electricity_consumption_tou_periods.size > 0
+ # Get the TOU ids
+ tou_ids = []
+ electricity_consumption_tou_periods.each do |tou_pd|
+ tou_ids << tou_pd['tou_id']
+ end
+ tou_ids.uniq.each do |tou_id|
+ @runner.registerValue("annual_consumption_district_cooling_tou_#{tou_id}", 0.0, 'GJ')
+ end
+ end
end
else
@runner.registerError('Could not find an annual run period')
return OpenStudio::Attribute.new('report', result_elems)