danialhbma / ITP-SE12-Power-Monitoring

ICT3111 Integrative Team Project
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Analysis: Power consumption cost of running one container in the current state #41

Closed danialhbma closed 1 year ago

danialhbma commented 1 year ago

In conjunction with the calculator tool, this analysis will include the costs of running the container in its current state. This includes:

break down by racks (how many pumps & lights per rack) - justify breakdown

Yapping72 commented 1 year ago

Aircon MODEL: STA-024SPWM Power supply (Ph-V-Hz): 208-230V~50/60Hz,1Ph

Cooling: Capacity (Btu/h): 24000 Running current (A): 5.1 Operating Power Input (W): 1230.0

MINIMUM CIRCUIT AMPACITY (A): 18 MAX FUSE (A): 25

Compressor: Type: ROTARY Brand: ECOLINE Capacity (Btu/h): 24000 Input (W): 1970 Running current (RLA) (A): 12 Refrigerant oil/oil charge (ml): ESTER OIL VG74/670

Indoor Fan Motor: Input (W): 58(Output) RLA (A): 0.4 Speed (Hi/Mi/Lo) (r/min): 1100/900/700

Indoor air flow (Hi/Mi/Lo) (m3/h): 1000/780/600 Indoor air flow (Hi/Mi/Lo) (CFM): 580/450/353 Indoor noise level (Hi/Mi/Lo) (dB(A)): 45.5/-/33

Indoor Unit: Dimension(WDH) (mm): 1080x226x335 Packing (WDH) (mm): 1155x415x315 Net/Gross weight (Kg): 13.2/16.8

Outdoor Fan Motor: Input (W): 58(Output) RLA (A): 0.6 Speed (r/min): 940

Outdoor air flow (m3/h): 2700 Outdoor air flow (CFM): 1590 Outdoor noise level (dB(A)): 59

Outdoor unit: Dimension(WDH) (mm): 845x363x702 Packing (WDH) (mm): 965x395x755 Net/Gross weight (Kg): 47.7/51.0

Refrigerant type (g): R407C/1500g Design pressure (PSIG): 550/340 PSIG

Refrigerant piping: Liquid side/Gas side (mm(inch)): ϕ9.53/ϕ15.9(3/8" / 5/8") Max. refrigerant pipe length (m): 30 Max. difference in level (m): 20

Connection wiring: 16AWG*4 Stranded, unshielded Thermostat type: Remote Control

Operation temperature: Indoor (°C): 17 ~ 32

chococtea commented 1 year ago

As of now,

  1. Linear regression for the racks' power consumption - will do profiling of each rack we monitored
  2. For unmonitored devices, power consumption will be calculated based on their specifications and their timing schedule.
chococtea commented 1 year ago

Info from crop scientists/research:

chococtea commented 1 year ago

Working on retrieving power consumption data and creating a document for the rack profiling to be used in the training of linear regression model which is done in python.

chococtea commented 1 year ago

Wrote the codes for the linear regression model for racks' power consumption. As of now, the script handles preprocessing of data, model training, and model predictions. For predictions, the model can predict the daily power consumption of each rack's devices - light & water pump for the entire month and export it as a csv file.

Image

But sometimes the values for timer is in negative. So will look into this and determine what causes this. Other than that, will be working on the cost calculator script.

chococtea commented 1 year ago

Nevermind, found an issue with the data preprocessing. will fix that and try the model fitting again.

chococtea commented 1 year ago

okie, fixed the data preprocessing part and fitted the model again. predicted values now look more reasonable. will proceed with the estimation of cost part

chococtea commented 1 year ago

Cost calculator is currently working but will need to modify again once there's more data on the operating hours of the ceiling lights and the formula for aircon consumption.

current output: Image

chococtea commented 1 year ago

Made a few changes to the code:

Current Output: Image Image

chococtea commented 1 year ago

Modified the bar chart visualisation to include the total sum (at the side), consistent Y axis label (cost ($) & power consumption (kWh)), changed 'estimated' to 'predicted' in the title and incldued the month and year in the tilte.

Image Image