# ******************************************************************************* # OpenStudio(R), Copyright (c) 2008-2019, Alliance for Sustainable Energy, LLC. # All rights reserved. # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # (1) Redistributions of source code must retain the above copyright notice, # this list of conditions and the following disclaimer. # # (2) Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # # (3) Neither the name of the copyright holder nor the names of any contributors # may be used to endorse or promote products derived from this software without # specific prior written permission from the respective party. # # (4) Other than as required in clauses (1) and (2), distributions in any form # of modifications or other derivative works may not use the "OpenStudio" # trademark, "OS", "os", or any other confusingly similar designation without # specific prior written permission from Alliance for Sustainable Energy, LLC. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDER(S) AND ANY CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, # THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER(S), ANY CONTRIBUTORS, THE # UNITED STATES GOVERNMENT, OR THE UNITED STATES DEPARTMENT OF ENERGY, NOR ANY OF # THEIR EMPLOYEES, BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, # EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT # OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, # STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY # OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # ******************************************************************************* module OsLib_QAQC # Bin the hourly part load ratios into 10% bins def bin_part_loads_by_ten_pcts(hrly_plrs) bins = Array.new(10, 0) op_hrs = 0.0 hrly_plrs.each do |plr| op_hrs += 1.0 if plr > 0 if plr <= 0.1 # add below-zero % PLRs to final bin bins[0] += 1 elsif plr > 0.1 && plr <= 0.2 bins[1] += 1 elsif plr > 0.2 && plr <= 0.3 bins[2] += 1 elsif plr > 0.3 && plr <= 0.4 bins[3] += 1 elsif plr > 0.4 && plr <= 0.5 bins[4] += 1 elsif plr > 0.5 && plr <= 0.6 bins[5] += 1 elsif plr > 0.6 && plr <= 0.7 bins[6] += 1 elsif plr > 0.7 && plr <= 0.8 bins[7] += 1 elsif plr > 0.8 && plr <= 0.9 bins[8] += 1 elsif plr > 0.9 # add over-100% PLRs to final bin bins[9] += 1 end end # Convert bins from hour counts to % of operating hours. bins.each_with_index do |bin, i| bins[i] = bins[i] / op_hrs end return bins end # Check primary heating and cooling equipment part load ratios # to find equipment that is significantly oversized or undersized. def check_part_loads(category, target_standard, max_pct_delta = 0.1, name_only = false) # summary of the check check_elems = OpenStudio::AttributeVector.new check_elems << OpenStudio::Attribute.new('name', 'Part Load') check_elems << OpenStudio::Attribute.new('category', category) check_elems << OpenStudio::Attribute.new('description', 'Check that equipment operates at reasonable part load ranges.') # stop here if only name is requested this is used to populate display name for arguments if name_only == true results = [] check_elems.each do |elem| results << elem.valueAsString end return results end std = Standard.build(target_standard) begin # Establish limits for % of operating hrs expected above 90% part load expected_pct_hrs_above_90 = 0.1 # get the weather file run period (as opposed to design day run period) ann_env_pd = nil @sql.availableEnvPeriods.each do |env_pd| env_type = @sql.environmentType(env_pd) if env_type.is_initialized if env_type.get == OpenStudio::EnvironmentType.new('WeatherRunPeriod') ann_env_pd = env_pd break end end end # only try to get the annual timeseries if an annual simulation was run if ann_env_pd.nil? check_elems << OpenStudio::Attribute.new('flag', 'Cannot find the annual simulation run period, cannot check equipment part load ratios.') return check_elem end # Boilers @model.getBoilerHotWaters.each do |equip| # Get the timeseries part load ratio data key_value = equip.name.get.to_s.upcase # must be in all caps. time_step = 'Hourly' variable_name = 'Boiler Part Load Ratio' ts = @sql.timeSeries(ann_env_pd, time_step, variable_name, key_value) if ts.empty? check_elems << OpenStudio::Attribute.new('flag', "#{variable_name} Timeseries not found for #{key_value}.") next end # Convert to array ts = ts.get.values plrs = [] for i in 0..(ts.size - 1) plrs << ts[i] end # Bin part load ratios pct_hrs_above_90 = bin_part_loads_by_ten_pcts(plrs)[9] # Check top-end part load ratio bins if ((pct_hrs_above_90 - expected_pct_hrs_above_90) / pct_hrs_above_90).abs > max_pct_delta check_elems << OpenStudio::Attribute.new('flag', "For #{equip.name}, the actual hrs above 90% part load of #{(pct_hrs_above_90 * 100).round(2)}% is more than #{(max_pct_delta * 100.0).round(2)}% different from the expected #{(expected_pct_hrs_above_90 * 100).round(2)}% of hrs above 90% part load. This could indicate significantly oversized or undersized equipment.") end end # Chillers @model.getChillerElectricEIRs.each do |equip| # Get the timeseries part load ratio data key_value = equip.name.get.to_s.upcase # must be in all caps. time_step = 'Hourly' variable_name = 'Chiller Part Load Ratio' ts = @sql.timeSeries(ann_env_pd, time_step, variable_name, key_value) if ts.empty? check_elems << OpenStudio::Attribute.new('flag', "#{variable_name} Timeseries not found for #{key_value}.") next end # Convert to array ts = ts.get.values plrs = [] for i in 0..(ts.size - 1) plrs << ts[i] end # Bin part load ratios pct_hrs_above_90 = bin_part_loads_by_ten_pcts(plrs)[9] # Check top-end part load ratio bins if ((pct_hrs_above_90 - expected_pct_hrs_above_90) / pct_hrs_above_90).abs > max_pct_delta check_elems << OpenStudio::Attribute.new('flag', "For #{equip.name}, the actual hrs above 90% part load of #{(pct_hrs_above_90 * 100).round(2)}% is more than #{(max_pct_delta * 100.0).round(2)}% different from the expected #{(expected_pct_hrs_above_90 * 100).round(2)}% of hrs above 90% part load. This could indicate significantly oversized or undersized equipment.") end end # Cooling Towers (Single Speed) @model.getCoolingTowerSingleSpeeds.each do |equip| # Get the design fan power if equip.fanPoweratDesignAirFlowRate.is_initialized dsn_pwr = equip.fanPoweratDesignAirFlowRate.get elsif equip.autosizedFanPoweratDesignAirFlowRate.is_initialized dsn_pwr = equip.autosizedFanPoweratDesignAirFlowRate.get else check_elems << OpenStudio::Attribute.new('flag', "Could not determine peak power for #{equip.name}, cannot check part load ratios.") next end # Get the timeseries fan power key_value = equip.name.get.to_s.upcase # must be in all caps. time_step = 'Hourly' variable_name = 'Cooling Tower Fan Electric Power' ts = @sql.timeSeries(ann_env_pd, time_step, variable_name, key_value) if ts.empty? check_elems << OpenStudio::Attribute.new('flag', "#{variable_name} Timeseries not found for #{key_value}.") next end # Convert to array ts = ts.get.values plrs = [] for i in 0..(ts.size - 1) plrs << ts[i] / dsn_pwr.to_f end # Bin part load ratios pct_hrs_above_90 = bin_part_loads_by_ten_pcts(plrs)[9] # Check top-end part load ratio bins if ((pct_hrs_above_90 - expected_pct_hrs_above_90) / pct_hrs_above_90).abs > max_pct_delta check_elems << OpenStudio::Attribute.new('flag', "For #{equip.name}, the actual hrs above 90% part load of #{(pct_hrs_above_90 * 100).round(2)}% is more than #{(max_pct_delta * 100.0).round(2)}% different from the expected #{(expected_pct_hrs_above_90 * 100).round(2)}% of hrs above 90% part load. This could indicate significantly oversized or undersized equipment.") end end # Cooling Towers (Two Speed) @model.getCoolingTowerTwoSpeeds.each do |equip| # Get the design fan power if equip.highFanSpeedFanPower.is_initialized dsn_pwr = equip.highFanSpeedFanPower.get elsif equip.autosizedHighFanSpeedFanPower.is_initialized dsn_pwr = equip.autosizedHighFanSpeedFanPower.get else check_elems << OpenStudio::Attribute.new('flag', "Could not determine peak power for #{equip.name}, cannot check part load ratios.") next end # Get the timeseries fan power key_value = equip.name.get.to_s.upcase # must be in all caps. time_step = 'Hourly' variable_name = 'Cooling Tower Fan Electric Power' ts = @sql.timeSeries(ann_env_pd, time_step, variable_name, key_value) if ts.empty? check_elems << OpenStudio::Attribute.new('flag', "#{variable_name} Timeseries not found for #{key_value}.") next end # Convert to array ts = ts.get.values plrs = [] for i in 0..(ts.size - 1) plrs << ts[i] / dsn_pwr.to_f end # Bin part load ratios pct_hrs_above_90 = bin_part_loads_by_ten_pcts(plrs)[9] # Check top-end part load ratio bins if ((pct_hrs_above_90 - expected_pct_hrs_above_90) / pct_hrs_above_90).abs > max_pct_delta check_elems << OpenStudio::Attribute.new('flag', "For #{equip.name}, the actual hrs above 90% part load of #{(pct_hrs_above_90 * 100).round(2)}% is more than #{(max_pct_delta * 100.0).round(2)}% different from the expected #{(expected_pct_hrs_above_90 * 100).round(2)}% of hrs above 90% part load. This could indicate significantly oversized or undersized equipment.") end end # Cooling Towers (Variable Speed) @model.getCoolingTowerVariableSpeeds.each do |equip| # Get the design fan power if equip.designFanPower.is_initialized dsn_pwr = equip.designFanPower.get elsif equip.autosizedDesignFanPower.is_initialized dsn_pwr = equip.autosizedDesignFanPower.get else check_elems << OpenStudio::Attribute.new('flag', "Could not determine peak power for #{equip.name}, cannot check part load ratios.") next end # Get the timeseries fan power key_value = equip.name.get.to_s.upcase # must be in all caps. time_step = 'Hourly' variable_name = 'Cooling Tower Fan Electric Power' ts = @sql.timeSeries(ann_env_pd, time_step, variable_name, key_value) if ts.empty? check_elems << OpenStudio::Attribute.new('flag', "#{variable_name} Timeseries not found for #{key_value}.") next end # Convert to array ts = ts.get.values plrs = [] for i in 0..(ts.size - 1) plrs << ts[i] / dsn_pwr.to_f end # Bin part load ratios pct_hrs_above_90 = bin_part_loads_by_ten_pcts(plrs)[9] # Check top-end part load ratio bins if ((pct_hrs_above_90 - expected_pct_hrs_above_90) / pct_hrs_above_90).abs > max_pct_delta check_elems << OpenStudio::Attribute.new('flag', "For #{equip.name}, the actual hrs above 90% part load of #{(pct_hrs_above_90 * 100).round(2)}% is more than #{(max_pct_delta * 100.0).round(2)}% different from the expected #{(expected_pct_hrs_above_90 * 100).round(2)}% of hrs above 90% part load. This could indicate significantly oversized or undersized equipment.") end end # DX Cooling Coils (Single Speed) @model.getCoilCoolingDXSingleSpeeds.each do |equip| # Get the design coil capacity if equip.ratedTotalCoolingCapacity.is_initialized dsn_pwr = equip.ratedTotalCoolingCapacity.get elsif equip.autosizedRatedTotalCoolingCapacity.is_initialized dsn_pwr = equip.autosizedRatedTotalCoolingCapacity.get else check_elems << OpenStudio::Attribute.new('flag', "Could not determine capacity for #{equip.name}, cannot check part load ratios.") next end # Get the timeseries coil capacity key_value = equip.name.get.to_s.upcase # must be in all caps. time_step = 'Hourly' variable_name = 'Cooling Coil Total Cooling Rate' ts = @sql.timeSeries(ann_env_pd, time_step, variable_name, key_value) if ts.empty? check_elems << OpenStudio::Attribute.new('flag', "#{variable_name} Timeseries not found for #{key_value}.") next end # Convert to array ts = ts.get.values plrs = [] for i in 0..(ts.size - 1) plrs << ts[i] / dsn_pwr.to_f end # Bin part load ratios pct_hrs_above_90 = bin_part_loads_by_ten_pcts(plrs)[9] # Check top-end part load ratio bins if ((pct_hrs_above_90 - expected_pct_hrs_above_90) / pct_hrs_above_90).abs > max_pct_delta check_elems << OpenStudio::Attribute.new('flag', "For #{equip.name}, the actual hrs above 90% part load of #{(pct_hrs_above_90 * 100).round(2)}% is more than #{(max_pct_delta * 100.0).round(2)}% different from the expected #{(expected_pct_hrs_above_90 * 100).round(2)}% of hrs above 90% part load. This could indicate significantly oversized or undersized equipment.") end end # DX Cooling Coils (Two Speed) @model.getCoilCoolingDXTwoSpeeds.each do |equip| # Get the design coil capacity if equip.ratedHighSpeedTotalCoolingCapacity.is_initialized dsn_pwr = equip.ratedHighSpeedTotalCoolingCapacity.get elsif equip.autosizedRatedHighSpeedTotalCoolingCapacity.is_initialized dsn_pwr = equip.autosizedRatedHighSpeedTotalCoolingCapacity.get else check_elems << OpenStudio::Attribute.new('flag', "Could not determine capacity for #{equip.name}, cannot check part load ratios.") next end # Get the timeseries coil capacity key_value = equip.name.get.to_s.upcase # must be in all caps. time_step = 'Hourly' variable_name = 'Cooling Coil Total Cooling Rate' ts = @sql.timeSeries(ann_env_pd, time_step, variable_name, key_value) if ts.empty? check_elems << OpenStudio::Attribute.new('flag', "#{variable_name} Timeseries not found for #{key_value}.") next end # Convert to array ts = ts.get.values plrs = [] for i in 0..(ts.size - 1) plrs << ts[i] / dsn_pwr.to_f end # Bin part load ratios pct_hrs_above_90 = bin_part_loads_by_ten_pcts(plrs)[9] # Check top-end part load ratio bins if ((pct_hrs_above_90 - expected_pct_hrs_above_90) / pct_hrs_above_90).abs > max_pct_delta check_elems << OpenStudio::Attribute.new('flag', "For #{equip.name}, the actual hrs above 90% part load of #{(pct_hrs_above_90 * 100).round(2)}% is more than #{(max_pct_delta * 100.0).round(2)}% different from the expected #{(expected_pct_hrs_above_90 * 100).round(2)}% of hrs above 90% part load. This could indicate significantly oversized or undersized equipment.") end end # DX Cooling Coils (Variable Speed) @model.getCoilCoolingDXVariableSpeeds.each do |equip| # Get the design coil capacity if equip.grossRatedTotalCoolingCapacityAtSelectedNominalSpeedLevel.is_initialized dsn_pwr = equip.grossRatedTotalCoolingCapacityAtSelectedNominalSpeedLevel.get elsif equip.autosizedGrossRatedTotalCoolingCapacityAtSelectedNominalSpeedLevel.is_initialized dsn_pwr = equip.autosizedGrossRatedTotalCoolingCapacityAtSelectedNominalSpeedLevel.get else check_elems << OpenStudio::Attribute.new('flag', "Could not determine capacity for #{equip.name}, cannot check part load ratios.") next end # Get the timeseries coil capacity key_value = equip.name.get.to_s.upcase # must be in all caps. time_step = 'Hourly' variable_name = 'Cooling Coil Total Cooling Rate' ts = @sql.timeSeries(ann_env_pd, time_step, variable_name, key_value) if ts.empty? check_elems << OpenStudio::Attribute.new('flag', "#{variable_name} Timeseries not found for #{key_value}.") next end # Convert to array ts = ts.get.values plrs = [] for i in 0..(ts.size - 1) plrs << ts[i] / dsn_pwr.to_f end # Bin part load ratios pct_hrs_above_90 = bin_part_loads_by_ten_pcts(plrs)[9] # Check top-end part load ratio bins if ((pct_hrs_above_90 - expected_pct_hrs_above_90) / pct_hrs_above_90).abs > max_pct_delta check_elems << OpenStudio::Attribute.new('flag', "For #{equip.name}, the actual hrs above 90% part load of #{(pct_hrs_above_90 * 100).round(2)}% is more than #{(max_pct_delta * 100.0).round(2)}% different from the expected #{(expected_pct_hrs_above_90 * 100).round(2)}% of hrs above 90% part load. This could indicate significantly oversized or undersized equipment.") end end # Gas Heating Coils @model.getCoilHeatingGass.each do |equip| # Get the design coil capacity if equip.nominalCapacity.is_initialized dsn_pwr = equip.nominalCapacity.get elsif equip.autosizedNominalCapacity.is_initialized dsn_pwr = equip.autosizedNominalCapacity.get else check_elems << OpenStudio::Attribute.new('flag', "Could not determine capacity for #{equip.name}, cannot check part load ratios.") next end # Get the timeseries coil capacity key_value = equip.name.get.to_s.upcase # must be in all caps. time_step = 'Hourly' variable_name = 'Heating Coil Air Heating Rate' ts = @sql.timeSeries(ann_env_pd, time_step, variable_name, key_value) if ts.empty? check_elems << OpenStudio::Attribute.new('flag', "#{variable_name} Timeseries not found for #{key_value}.") next end # Convert to array ts = ts.get.values plrs = [] for i in 0..(ts.size - 1) plrs << ts[i] / dsn_pwr.to_f end # Bin part load ratios pct_hrs_above_90 = bin_part_loads_by_ten_pcts(plrs)[9] # Check top-end part load ratio bins if ((pct_hrs_above_90 - expected_pct_hrs_above_90) / pct_hrs_above_90).abs > max_pct_delta check_elems << OpenStudio::Attribute.new('flag', "For #{equip.name}, the actual hrs above 90% part load of #{(pct_hrs_above_90 * 100).round(2)}% is more than #{(max_pct_delta * 100.0).round(2)}% different from the expected #{(expected_pct_hrs_above_90 * 100).round(2)}% of hrs above 90% part load. This could indicate significantly oversized or undersized equipment.") end end rescue StandardError => e # brief description of ruby error check_elems << OpenStudio::Attribute.new('flag', "Error prevented QAQC check from running (#{e}).") # backtrace of ruby error for diagnostic use if @error_backtrace then check_elems << OpenStudio::Attribute.new('flag', e.backtrace.join("\n").to_s) end end # add check_elms to new attribute check_elem = OpenStudio::Attribute.new('check', check_elems) return check_elem # note: registerWarning and registerValue will be added for checks downstream using os_lib_reporting_qaqc.rb end end