ENG3104 Assignment3

ENG3104 Assignment3 Click Link Below To Buy: http://hwcampus.com/shop/eng3104-assignment3/ Contact Us: [email protected] Assessment: Assignment 3 Due: 2015 Marks: 300 1 (worth 40 marks) 1.1 Introduction To assess how useful the wind power could be as an energy source, use the file ass2data.xls to calculate the total energy available in the wind for each year of data. 1.2 Requirements For this assessment item, you must produce MATLAB code which: 1. Calculates the total energy for each of the years. 2. Reports to the Command Window the energy for each year. 3. Briefly discusses whether there is any trend in the results for annual energy production. 4. Has appropriate comments throughout. You must also calculate the total energy for the first four hours of power data (i.e. over the first five data entries) by hand to verify your code; submit this working in a pdf file. Your MATLAB code must test (verify) whether the computed value of energy is the same as calculated by hand. 1.3 Assessment Criteria Your code will be assessed using the following scheme. Note that you are marked based on how well you perform for each category, so the correct answer determined in a basic way will receive half marks and the correct answer determined using an excellent method/code will receive full marks. Quality of the code 5 marks Quality of header(s) and comments 5 marks Quality of calculation of the energy for each year 15 marks Quality of reporting 5 marks Quality of discussion 5 marks Quality of verification based on hand calculations 5 marks 2 (worth 65 marks) 2.1 Introduction For the wind turbines to operate effectively, they must turn to face into the wind. This could create large stresses in the structure if the wind changes direction quickly while the wind speed is high. You are to assess if this is likely to happen using the data in ass2data.xls. 2.2 Requirements For this assessment item, you must produce MATLAB code which: 1. Calculates the instantaneous rate of change of wind direction using: (a) backward differences (b) forward differences (c) central differences 2. Plots the three sets of derivatives as functions of time. 3. Produces scatter plots of maximum wind gust as functions of each of the derivatives. 4. Displays a message in the Command Window with a brief discussion of the scatter plots. Discuss which of the derivatives should be used to compare with the wind gust and why. Discuss whether you think the wind changes direction too quickly while the wind speed is high and why. 5. Has appropriate comments throughout. You must also use a backward difference, forward difference and central difference by hand to determine the rate of change of wind direction for the twelfth data entry; submit this working in a pdf file. Your MATLAB code must test (verify) whether these values are the same as computed by the code for the three differences. 2.3 Assessment Criteria Your code will be assessed using the following scheme. Note that you are marked based on how well you perform for each category, so the correct answer determined in a basic way will receive half marks and the correct answer determined using an excellent method/code will receive full marks. Quality of the code 5 marks Quality of header(s) and comments 5 marks Quality of calculating the differences 30 marks Quality of plotting the differences as functions of time 5 marks Quality of plotting the wind gust as functions of the differences 10 marks Quality of discussion 5 marks Quality of verification based on hand calculations 5 marks 3 (worth 70 marks) 3.1 Introduction A small non-switching power supply is being designed and the components must be selected so that the voltage in the circuit never falls below Vmin . The voltage in the circuit, vc, can be found using Eq. (1) during the charging phase [when Eq. (2) is satisfied]: C dvc(t) dt + ic = |vt cos(2πf t)| − 2Vd − vc(t) 2Rd (1) vc(t) ≤ |vt cos(2πf t)| − 2Vd (2) and using Eq. (3) during the discharging phase [when Eq. (4) is satisfied]: dvc(t) C dt + ic = 0 (3) vc(t) > |vt cos(2πf t)| − 2Vd . (4) The variables in Eqs. (1)–(4) are the capacitance, C , the current through the circuit, ic, the transformed AC voltage, vt , the frequency of the AC power, f , the voltage across the diode, Vd , and the resistance across the diode, Rd . For your assignment, the values for these quantities are (note that all quantities are in SI units): Vmin = 4.1949 V (5) C = 8.3052 × 10−5 F (6) ic = 0.59336 × 10−2 A (7) vt = 1.0391 × 2 VAC (8) f = 2.4768 × 10 Hz (9) Vd = 7.9472 × 10−1 V (10) Rd = 8.9797 × 10−2 Ω . (11) (Note that these values are indicative of the order of magnitude that these variables might take and are not necessarily within the limited range that is used in practice.) (a) Your task is to simulate the system for three cycles to determine whether vc is always larger than Vmin , in which case the components have been satisfactorily selected. Your initial condition should be chosen so that the equality is satisfied in Eq. (2). Use the following methods to simulate the system: (i) Euler’s method in MATLAB. You must report to the Command Window the value used for ∆t. (ii) ode45 in MATLAB (iii) ode23 in MATLAB (b) Your task is to see how long it takes for vc to charge to Vmin , starting with an initial condition of vc = 0 and assuming that the system never enters the discharging phase. Use the following methods to simulate the system: (i) Euler’s method in Simulink (ii) ode45 in Simulink (iii) ode23 in Simulink Note that for part (a), only moderate accuracy is required for the simulation (it is not necessary to precisely simulate vc unless its smallest value is very close to Vmin ). 3.2 Requirements For this assessment item, you must produce MATLAB code and Simulink modules which: 1. Simulate Eqs. (1)–(4) using the three methods listed in MATLAB. 2. Plots the simulated vc(t) for each method, clearly indicating the value of Vmin on each graph. Non-dimensionalise the value of time by multiplying by f ; non-dimensionalise the voltage using (vt − 2Vd ). Non-dimensionalisation allows you to compare cases of different scale directly because the results are proportional to the non-dimensionalising parameter. 3. Displays a message in the Command Window stating whether vc(t) is always greater than Vmin for each of the methods. 4. Simulates Eq. (1) using Simulink. 5. Produces a plot using Simulink showing when vc(t) reaches Vmin . 6. Displays within Simulink when vc(t) reaches Vmin . 7. Produces output to MATLAB so that MATLAB can report to the Command Window the simulated times for vc(t) to reach Vmin . 8. Has appropriate comments throughout. You must also verify your simulation using Euler’s method in MATLAB for the first two timesteps of part (ai); submit this working in a pdf file. Your MATLAB code must test (verify) whether the value of vc after two timesteps is the same as computed by the code. 3.3 Assessment Criteria Your code will be assessed using the following scheme. Note that you are marked based on how well you perform for each category, so the correct answer determined in a basic way will receive half marks and the correct answer determined using an excellent method/code will receive full marks. Quality of the code 5 marks Quality of header(s) and comments 5 marks Quality of the MATLAB simulations 20 marks Quality of the Simulink simulations 20 marks Quality of plots (e.g. axis labels, titles) 5 marks Quality of reporting of results 10 marks Quality of verification based on hand calculations 5 marks 4 (worth 70 marks) 4.1 Introduction A smoke alarm sounds at 1 kHz and PL = 75 dB. You are to determine whether these speci- fications are satisfactory for the chosen application of a corridor of length L. The propagation of sound is based on the sound pressure p (the pressure increase from ambient pressure in Pa), where the appropriate transport equation is: ∂2p 1 ∂2p 1 αdx/10 ∂p ∂x2 − c2 ∂t2 = − 2dx 1 − 10− . (12) ∂x The speed of sound, c, in air is a function of temperature T (in K): c = √kRT (13) where the ratio of specific heats for air is k = 1.400 and the ideal gas constant for air is R = 287.0 J/kg.K. The sound pressure level (units of dB) is related to the sound pressure: PL = 10 log 2 ! p rms p 2 ref (14) pref = 2 × 10−5 Pa (15) For the purposes of Eq. (12), you can assume that p = prms. The attenuation on the rhs of Eq. (12) represents the conversion of sound energy into heat and causes a constant decrease in dB per unit length. The value of α in the atmosphere is in Table 1 (ignore the acoustic effects of the walls, ceiling and floor). Table 1: Value of attenuation factor α (dB/km). The relative humidity is φ. T (◦C) φ (%) Frequency (Hz) 125 250 500 1000 2000 4000 8000 10 70 0.4 1.0 1.9 3.7 9.7 33 117 20 70 0.3 1.1 2.8 5.0 9.0 23 77 15 50 0.5 1.2 2.2 4.2 11 36 129 15 80 0.3 1.1 2.4 4.1 8.3 24 83 For your assignment, the following value is to be used: L = 2.1871 m . (16) The corridor is at 20◦C, the smoke alarm is attached to the wall at one end of the corridor and assume the gradient of pressure at the far end of the corridor is zero (the boundary value takes the value of the first interior node at the end of the previous timestep). You must determine: (a) whether the sound level is a minimum of 70 dB at every point in the corridor under steady- state conditions (i.e. ∂p/∂t = 0). (b) the sound level at every location in the corridor the instant before the noise from the alarm first reaches the far end of the corridor (the noise travels at the speed of sound). The initial conditions are that the corridor is completely quiet (0 dB) except for the wall with the alarm (it has just turned on) and that the sound level isn’t changing anywhere. Use a backward difference to model the rhs of Eq. (12). Note that only the HD students are expected to attempt part (b). 4.2 Requirements For this assessment item, you must produce MATLAB code which: 1. Does NOT use the Partial Differential Equation Toolbox. 2. Calculates the sound level at all locations for the steady-state case. 3. Plots the steady-state value of PL(x), showing the minimum pressure level on the same graph. Non-dimensionalise the distance using L. 4. Reports to the Command Window whether the sound level reaches 70 dB everywhere in the steady-state situation. 5. Simulates the transient case. 6. Visualises the value of PL(x, t) for the entire simulation in one image. Non-dimensionalise the time using c and L. 7. Plots the value of PL(x) computed in part (b), showing the minimum pressure level on the same graph. Also show on the same graph the value of PL(x) when the noise is half-way to the far end of the corridor. 8. Has appropriate comments throughout. 4.3 Assessment Criteria Your code will be assessed using the following scheme. Note that you are marked based on how well you perform for each category, so the correct answer determined in a basic way will receive half marks and the correct answer determined using an excellent method/code will receive full marks. Quality of the code 5 marks Quality of header(s) and comments 5 marks Quality of calculation of part (a) 20 marks Quality of plot for part (a) 5 marks Quality of reporting for part (a) 5 marks Quality of calculation of part (b) 20 marks Quality of plots for part (b) 10 marks 5 (worth 5 marks) You are to write a brief report (about 100 words, excluding any code), which includes: 1. A description of an instance during the writing of your code for this assignment where there was a problem (e.g. a bug, an error, an unexpected result) or the most challenging aspect to overcome. 2. What steps you took to overcome the problem or challenge (including any code you wrote to test the problem/challenge). 3. The code before you resolved the problem or challenge, highlighting the line(s) of code where the problem or challenge occurred. 4. The code after you resolved the problem/overcame the challenge. 5. Code from the MATLAB editor is to be copied into Word; screenshots should be taken of the Command window. The problem report will be assessed using the following scheme: Description Marks Excellent description of a difficult problem and effective solution 5 Good description of a moderate problem and useful solution 4 Reasonable description of a genuine problem with a pragmatic solution 3 Poor description or Problem is not very challenging or Solution is not effec- tive/efficient 2 Problem is trivial or Solution is poor 1 No report or description does not include a genuine problem 0 6 (worth 50 marks) Your marks from the SPIDER activities will be added up to contribute to this 50 marks. Note that you will only be awarded up to 50 marks from the SPIDER activities. Submission Submit your code, with the “ass2data.xls” file that is provided to you (or an equivalent conver- sion to xlsx), by the due date to the StudyDesk. Submit your problem report as a pdf file that contains selectable text (your assignment will not be marked if the pdf file does not satisfy this requirement).