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Mean kW Impact by Cluster

LowMediumHighNotes
Co-alignment31219 1
Scatter reduction151922 2
Outliers12591933
Holliday misalocation000 4

Green band denotes self-adaptive best performance

Problem

Mode transitions occur in response to approximate seasonal load conditions as triggered by manual intervention (timeclocks, thermostats and the number of boilers disabled on “Hand”)

Solution

Correct control compensation and optimimization could prevent this.

Mode Change % Impact By Time of Day

TransitionOvernightBoostMorningAfternoon
Off - Very Low1---
Very Low - Low<1%2%33%64%
Low - High2%3% 61% 234%
High - Very High 92% 3 -3% 45%5%

Potential Annual Saving by Issue

MeasureDays per YearAnnual kWhPercentage OpportunityNotes
Coalignment27469,7684.1
Reduce Scatter274119,3307.0
Holiday Recognition-00.0Accomodation (N/A)
Schedule Correction-0 0.024/7 Occupancy (N/A)
Alarm Impact1947,8752.8
Overall365247,64314.5Weighted Averages (Days do not sum)

Surface shows kW by time of day and weather loading

Model built automatically based based on historical performance

Spheres show consumption relative to seasonal averages

Peaks show excessive boiler boost in the morning

Surface shows a physical model of plant in use

Spheres extent of model mismatch

Domestic hot water at 20kW average

AHU heating at 12 kW per °F below 58 °F

Boiler boost at 200kW for one hour prior to radiator services

Fabric protection 24/7 when below 40°F at 25kW  per °F

Max boiler capacity when sequence controlled of 350kW

Max boiler capacity during boost (all enabled) at 550kW