I only need help with task 5!!! I have included the assignment and the report to show where I am on it. Please read the rubric on the assignment to see what is expected for task 5. I started task 5...

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I only need help with task 5!!! I have included the assignment and the report to show where I am on it. Please read the rubric on the assignment to see what is expected for task 5. I started task 5 but got stuck. I specifically need help with "Develop and implement plans to validate assumptions and to test design compliance with requirements. Apply insights to subsequent design iterations." If there are any risks and assumptions from design choices I should add that would be helpful as well. Again the focus is on task 5 only!


There were over 5,500 irrigation wells in use on Oklahoma lands in 2018 which consumed more than $21.8m to power 6530 pumps. You are asked to develop three design tools (XLS or MATLAB) that can be used to design/size PV- or wind- or natural-gas-powered pumping system to be used in Oklahoma panhandle region. Please choose a specific ranch in the panhandle region to determine the size of the ranch and required total water consumption during the growing season. Take the average depth of the well as 100 ft and the required average pumping capacity as 368 gpm. Calculate the LCOW $/m3 from the three alternative energy source for use during the growing season. Fig. 1. A natural gas engine deriving a groundwater pump. Fig. 2. A low-pressure center pivot system in Oklahoma. Design I) PV system : · Select the optimum tilt angle for the PV panels. · Plot the monthly-averaged daily harvested kWh · Specify the PV panels and include its SPECS sheet. · Find how many PV panels are needed to generate the required load. · To the best of your ability estimate the initial cost of the PV system and $/m3. Design I) Wind system : · Select the turbine design. · Plot the expected monthly kWh generated from one wind turbine. · Find how many turbine are needed to generate the required load. · To the best of your ability estimate the initial cost of the system and $/m3. Design III) Natural gas engine. · Select a natural-gas engine that can handle the load. · List/Specify the equipment needed (e.g., engine SPECS sheet, etc). · To the best of your ability estimate the initial cost of the equipment and calculate the monthly energy consumption (assume $0.8/therm) and compare the $/m3 with the other two systems. Useful Information Please start each Task on a new page: Task 1: Engineering Problem Statement (10%) Please clearly state the engineering problem and explain the design goals. Task 2: Design Requirements and Constraints (20%) Please assess and revise design requirements using professional codes, standards, and regulations. Identify clearly constraints and desired goals. Task 3: Formulate Multiple Candidate Solutions (25%) Please formulate three potential designs. Task 4: Detailed Design (25%) Please develop and analyze a detailed design for the best candidate solution. Address all deficiency iteratively. Include all required functionality and balance conflicting requirements for near optimum outcome. Task 5: Identify and assess risk from assumptions and design choices (20%) Clearly identify risks and test your assumptions. Plan to apply insights to subsequent design iterations. 1 Engineering Problem Statement In 2018, Oklahoma lands held over 5,500 irrigation wells to produce power. The consumed power cost more than $21.8 million to power 6530 pumps. We are tasked with finding an alternative method that could potentially be cheaper and more energy-friendly. We will calculate consumption for three different alternatives: PV Panels, wind energy, or natural-gas-powered pumping systems.          We are given some information to help us solve the problem appropriately. Which will include the average depth of the well is equal to 100 feet. The average pumping capacity is 368 gallons per minute. We are also provided a table that includes Solar Radiation and average climate conditions for Oklahoma. This table will be provided in Figure 1.1.          As engineers, we will have to make some assumptions to achieve the goal at hand. Assumptions will include the total water consumption during the growing season by taking acreage and the number of wells needed to produce enough water for the crops. We will have to make an acceptable assumption on the efficiency of our alternative designs after reviewing engineering codes and standards and shared knowledge. In the PV system design, the assumption made based on engineering knowledge will include the tilt of the panels to be better equipped to handle the load during the growing season.          While taking the three design alternatives, we must know what to solve to achieve the problem we are to solve. To determine the best fit within a decent budget, we must calculate the Levelized Cost of Water (LCOW) for each system. To calculate the LCOW, other things within each design must be solved first. The PV system needs the monthly-averaged daily harvested power calculated. Then, we must graph our results. Next, we will decide the best fit PV panel and include the specification sheets. We also must calculate the number of panels needed to achieve the power required. Lastly, we will calculate the LCOW. Next, we will pick the best turbine design for the Wind System and then calculate and plot the expected power generated from one wind turbine. We also must identify the number of turbines needed to achieve the power required. Finally, calculate the LCOW. Lastly, the Natural Gas Engine will be chosen by our team and ensure that the system can handle the load. With the chosen equipment, we will provide specification sheets. After the equipment is specified, we must estimate the initial cost and the monthly energy consumption ($0.8/therm) and compare the cost with the other systems. Once all the costs are calculated and plots are shown, we will be able to identify the best-fit option to move forward confidently. Figure 1.1: Solar Radiation and Average Climate Change 2 Design Requirements and Constraints Our location of interest is in the panhandle of Oklahoma. The location of interest is RR E20, Lot #WP001, Beaver, OK 73932 (36º N, 101º W). The irrigated acreage of a ranch located in the panhandle of Oklahoma is 300 acres in size. From our research, the growing season lasts 6.4 months. It is from April 13 to October 24. We were given the gallons per minute as 368, and we will use that to determine the gallons produced throughout the growing season and the number of wells required to irrigate the 300 acres. To research, one well can irrigate 20 to 40 acres of land. The Ranch we are designing for is 300 acres; we will need 15 wells to produce enough water to irrigate appropriately. Figure 2.1 will demonstrate the [gallons/growing season] and the [kwh/growing season] to account for the load needed to be successful adequately. The conversion from gallons to cubic meters is calculated as [gallons] / 220 = [cubic meters]. The cubic centimeters will be calculated to determine the Levelized cost of water for each design.   Figure 2.1 Figure 2.2 Design 1: PV System Based on the user data given to us, including the Solar Radiation and Average climate conditions. The tilt needed for our PV panel to be the most successful would be a Latitude of -15º. We have chosen the Maxeon 3 Solar PV Panel to analyze for the design with a power rating of 10 kW and efficiency of 22.2%. The spec sheet for the Maxeon solar panel will be provided in Figure 2.3a. &  Figure 2.3b.  Since the tilt was identified at -15º Latitude, we will have to identify the monthly load for a single PV panel and determine the number of panels needed to account for the daily load generated and the monthly load of consumption for our 300-acres in the chosen ranch in the panhandle of Oklahoma. Once the information is known, we can calculate the PV output that will help determine the number and price of panels needed to handle the load. The cost of one Maxeon 3 solar panel is approximately $545/panel. To calculate the initial startup, we must multiply the number of panels by the price per panel. We must also consider the panels' lifespan; Maxeon 3 the lifespan is 40 years. Once the initial cost is calculated, we must calculate the energy cost to keep the panels running. The average cost is $0.03/kWh when using solar power.  Figure 2.3a: Maxeon Solar Panel Figure 2.3b: Maxeon Solar Panel Specifications Design 2: Wind System Our design for the wind turbine system is identified as a 3-Bladed HAWT and is priced at $6650/wind turbine. It has a rated power of 10 [kW] and a max power of 12 [kW]. To achieve a startup of the device, the wind must be at least 3 [m/s] but can survive up to 50 [m/s]. This wind turbine is set to last for 20 years. To check out all the other specs for this wind turbine, check out Figure 2.4. The calculations used to determine the number of wind turbines differ from the math used to calculate the PV panels. First, we must identify the load per season based on a single wind turbine's rated power. Once the load for the season is determined, we will divide that value by 194 [days] to convert it to the load per day. The daily load remains constant throughout; although this is not an accurate perception, we have to make this assumption to get the best results with limited knowledge. We can then divide the load for a single turbine from the load generated by the ranch per day to determine the number of turbines needed. Then take that number and multiply it by the cost per wind turbine to determine the initial startup cost. To calculate the LCOW, we must add the initial startup cost, the cost of the pumps, and the cost of energy and divide it by the cubic centimeters of water generated for the season. Along with the calculations, we must run a calculation of the Load [kwh/month] for a single wind turbine and make a graph that demonstrates the outcome of the load for each month during the growing season. Figure 2.4: 3 Bladed HAWT Design 3: Natural Gas Engine We have chosen the Predator Engine 420cc Harbor Freight for the third and final design. The cost of one of these generators is $445.00. The complete list of specifications will be illustrated in Figure 2.5. We will be able to calculate the engine's power output by multiplying the torque and angular velocity. Once that is identified, we can divide the wattage by 1000 to get kW and multiply it by 24 hr/day to determine the [kWh/day]. Next, to get the load per month, we will take the load per day and multiply it by the number of days included in the growing season. This data will be plotted on a chart to represent the load fluctuation per month graphically. Lastly, we will take the load per season per day times the 194 days included in the growing season to identify the load per season. This design differs from the other two because we must calculate the energy cost using the factor of $0.8/therm. A therm is identified as 100,000 BTU. So we must convert our kWh/day to BTU/day; once that value is known, we can multiply it by 194 days to show the exact BTU per season. We will take this number and divide 100,000 from it to identify the number of
Answered 5 days AfterApr 03, 2022

Answer To: I only need help with task 5!!! I have included the assignment and the report to show where I am on...

Ishwar answered on Apr 08 2022
97 Votes
Task 5: Identify and assess risk from assumptions and design choices clearly identify risks and test your assumptions. Plan to apply insights to subsequent design iterations.
Student Name
Student ID:
Risk assessment Table:
    
    
    Consequences
    
    
    Low
    Medium
    High
    
Likelihood
    High
    3
    4
    5
    
    Medium
    2
    3
    4
    
    Low
    1
    2
    3
Risk Assessment and design selection
    Activity
    Hazards
    Risk
    Risk rating
    Existing risk control
    Additional Risk control
     Design risk of PV system
    Risk identified based on past data, records and information
    Failure of design
    4
    Design is prepare based on past data, collective site information, authentic details and use standard procedure of PV system design based on thermal and machine design fundamental Scott et.al.(2016).
    The existing design should conduct analysis and simulation by using CAE (computer aided engineering) software technique and compare results with analytical design. Secondly, prepare prototype of PV system and perform standard testing, obtain data and compare results with the analytical and software based solution.
Based on fundamental mechanical engineering techniques, if two of that method provides acceptable results (within 5-10% error).
    Design placement, orientation, maintenance and cost
    Operation and maintenance cost increase. It mainly depend on weather and solar condition
    Failure to achieve...
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