Hi, This is my last assignment for the semester, unfortunately I got bad marks in pervious quizzes and assignments. This is my only option to cover up for pass grade. Please go through the note which
ENGY 730 – Assignment #1
April 04, 2021
This assignment is marked, and weight of
the assignment is 10%.
Dr. Keshtkar
Note: To get full credit from this assignment, the student MUST implement, analyze, answer, and discuss each section of the assignment properly.
Introduction
HVAC systems typically consume around 70% of a base building’s energy usage, with 25-35% of energy consumed by chillers producing chilled water for air-conditioning. Therefore, the efficiency of chillers and the optimization of their performance within the HVAC systems they operate are important in achieving high performance.
Purpose of the Assignment
In this assignment a one-year historical data (refer to Daily Chilled water-1 excel file attached) for a chiller within a building has been measured. The main aims of this assignment are that students
Taste the flavor of forecasting methods within buildings.
Understand basic concepts of short-term/midterm forecasting.
Learn how to
capture the salient features using different regression models
build regression models using Excel
justify how well the models have fitted the data
develop a model for one day ahead load forecasting
Questions
Students must answer the following question in details.
Plot the data and apply the simple linear regression (SLR) model and second order regression (SOR) model for the chilled water and HDD. In both cases, find the mathematical models for producing daily chilled water as well.
Use the obtained models above to forecast the chilled water that you would expect for the next January (2014) if the HDD varies as shown in Table 1 (attached).
Apply multiple linear regression (MLR) model for the chilled water and all parameters impacting the amount of chilled water. Find the mathematical model for producing daily chilled water as well.
Use the obtained MLR model above to forecast the chilled water that you would expect for the next January (2014) if the RH, Tdew-C and HDD vary as shown in Table 1.
Calculate MAPE and RMSE for each model (SLR, SOR, and MLR) and discuss which model(s) is more fitted with the historical data?