Basics Energy Efficiency

Choose the correct answer :

QUESTION 12

1. Which knowledge in the hands of an industrial consumer is most likely to lead to discovery of the most valuable energy cost savings?

a-The total energy bill
b-The energy bill split between sub-divisions of the plant
c-The energy bill split between end-uses on the plant

d-Time-based energy consumption profiles per end-use

QUESTION 13

1. Suppose that we have a motor three phase voltages as 404, 395 and 380 volts. Calculate the voltage imbalance??

a- 3.2 %
b - 3.3%
c- 3.4%
d- 3.5%

QUESTION 14

1. A recent advertisement said an IE3 (premium efficiency) 50 kW motor is available at 95%. It would replace an IE1 motor that presently runs at 91% efficiency. Given that (Motor runs 2,920 hours/year, Demand cost is $ 10.00 kW per month, Energy cost is $0.6/kWh and Motor runs at 85% partial load all the time), calculate the annual savings ?

a-$ 580.44
b-$ 670.31
c-$ 1,741.15
d-$ 120.44

QUESTION 15

1. A three-phase 90 kW motor which has an efficiency of 92.5%. If its operated with an electrical power input 68.1 kW, at what load factor the motor is operated?

a-80%
b-75%
c-70%
d-65%

1. In 1994, baseball management and the players union failed to come to an agreement and the management initiated a work stoppage. The two sides did not come to an agreement until 1995. As a result less baseball games were played in both the 1994 and 1995 season. The 1994 and 1995 data seem to be outside the pattern of the rest of the data. Determine if these two data points are influential by:

a) Plot the regression line from the full data set on the on the scatter plot. The regression equation is: Wins = 24.5 + 0.08Runs, mark it “ALL SEASONS”

b) ​​​​​​​Plot the regression line from data set without the partial seasons on the on the scatter plot. The regression equation is: Wins = 43.3 + 0.05RUNS, mark it “ONLY FULL SEASON”. Do the partial seasons seem to be influential? Explain.

c) Using the linear regression model for “ALL GAMES” in the Red Socks data, Wins = 24.5+ 0.08 Runs. Consider the data for the year 2004, (Runs = 949, Wins = 98) Calculate the residual for this year.

d) The coefficient of determination = 67.2% for the Red Socks data. Find the linear correlation coefficient. Round your answer to 2 decimal places.

Given the matrix A (2x2 matrix taking the first two column vectors from the input file), compute the followings. Λ: the diagonal matrix whose diagonal elements are the corresponding eignevalues Λii = λi for i=1,2 R: the 2x2 matrix whose ith column vector is the eigenvector corresponding to λi for i=1,2 RΛRT: the matrix compositions 1/0: the comparison between A and RΛRT (is A= RΛRT?) Your output should have seven lines where the first two lines correspond to the 2x2 matrix of Λ, the next two lines is R, and the last two lines is the output matrix of RΛRT, and the last line is one binary number corresponding to yes (1) or no (0). The first six lines have two numbers per line, while the last line has one binary number. The output should contain numbers with up to four significant digits. If there is one real eigenvalue (λ1=λ2), then the two column vectors for R are the same, and your output should be of the aforementioned format. If there are no real eigenvalues, your output should be a single line printing "No real eigenvalues".

Input format (2x3 matrix):

n11 n12 n13

n21 n22 n23

In python please

This extra credit covers Chapter 8 specifically notes payable and warranty costs.

Joel runs a repair shop. He warrants select products against manufacturer defects. Joel estimates that warranty expenses will be 5% of sales. During the year 2013, Joel had sales of 3,507,000. Warranty payments were 350,000 and accrued warranty expense from 2012 were 350,000. (6 points )

Using the data above answer the following:

What is warranty expense for 2013

What is the ending balance in the warranty liability account at 12/31/2013

Journalize the warranty expense and payments for 2013.

Roberts Corp. Borrowed 35000 from Midland Bank. The note was 6%, 9 months and was issued on March 1, 2012. Roberts has a December year end. ( 6 points)

Using the data above record the following

Record the issuance of the note on 3/1

Record the year end adjustment

Record the payment of the note at maturity

Q, A seperate excited de generator runs at 150 rad/sec with flux density o.2 Tesla gives aterminal VoHag, of 200 Volt at no-lond. Find the terminal voltigi: (a) when the speed changes to lo00 RPM ? (b) The Speed iskeptat i50 rad/sec, but the field increnses by 20 % (C) The Speed is increased by 10% and the field increases by 15% Id) The genermtor is londed by 1o Ampur and its armature resistance is o .7 2 neglecting armature reaction

Q, A seperate excited de generator runs at 150 rad/sec with flux density o.2 Tesla gives aterminal VoHag, of 200 Volt at no-lond. Find the terminal voltigi: (a) when the speed changes to lo00 RPM ? (b) The Speed iskeptat i50 rad/sec, but the field increnses by 20 % (C) The Speed is increased by 10% and the field increases by 15% Id) The genermtor is londed by 1o Ampur and its armature resistance is o .7 2 neglecting armature reaction

Depreciation expense. ​ Richardses' Tree​ Farm, Inc. has just purchased a new aerial tree trimmer for ​$91 comma 000. Calculate the depreciation schedule using a​ seven-year life​ (for the property class category of a​ single-purpose agricultural and horticultural structure from Table​ 10.3) for both​ straight-line depreciation and​ MACRS, LOADING.... Use the​ half-year convention for both methods. Compare the depreciation schedules before and after taxes using a 40​% tax rate. What do you notice about the difference between these two​ methods? Using a​ seven-year life,​ straight-line depreciation, and the​ half-year convention for the first and last​ years, what is the annual depreciation of the​ trimmer?

1. Fill in the missing data for price (P), total revenue (TR), marginal revenue (MR), total cost (TC), marginal cost (MC), profit (π), and marginal profit (Mπ) in the following table:

Graph the firm’s demand curve and marginal revenue curve.

Graph the firm’s total cost curve, total revenue curve, and total profit curve.

There is a tree in the middle of your front yard and you take pictures of a squirrel as it runs around the tree. When you take the first picture, the squirrel is 12.0 m away from the tree in the direction 30.0◦ N of E. Twenty seconds later, you take a second picture of the squirrel when it is 7.50 m away from the tree in the direction 15.0◦ E of S. What is the magnitude and direction of the average velocity of the squirrel between the two pictures?

create an executable bash runtests.sh as follows:

1. The script must include the definition of a recursive function, explore
2. The script prompts the user to enter a directory name and an executable name, and checks that they are both readable and executable (terminating with an error message if not). It then passes the two names to the explore function.
3. The explore function carries out a recursive traversal of the directory and all its subdirectories, and runs the executable on each of the readable files found, using the file content as input, e.g.
   someexe < filefound

A behavioral psychologist wanted to know if making a public commitment to lose weight will make a difference in how much weight is actually lost. He obtained 14 volunteers who wanted to lose weight and randomly assigned them to one of two groups. The “commitment” group met together and each participant stood and announced an intent to lose weight and signed a pledge to adhere to the diet and exercise regimen. The “control” was placed on the same diet and exercise regimen, but did not stand to announce their intent to lose weight and did not sign a pledge to adhere to the regimen. The commitment group participants lost 13, 11, 13, 12, 10, 9,and 8 pounds; the control group participants lost 10, 6, 7, 5, 9, 6, and 8 pounds. Did making a commitment to adhere to the diet and exercise regimen make a significant difference in weight loss?

• What is the IV? How many levels?
• What is the DV?
• Construct a frequency distribution with that data above for each group
• What are the means of the 2 groups?
• What is the df?
• What type of t test needs to be conducted?
• What is the calculated t statistic?
• Is this a one tail or 2 tail test?
• Are the findings significant at alpha .05? Explain what this means.