Not Riding Dirty Project #1 Lengishijau Study

Not Riding Dirty Project #1 – LengisHijau Study

Use the information from the following:

• Report by Caritas Switzerland on August 29th 2013 (attached)
• Information gathered during LengisHijau visit
1. Page 4 Convert 400-600 m3 to ft3 . To put his in perspective give an example of building(s) that would represent this capacity.
1. Page 8, can biodiesel produced at LengisHijaube substituted for fossil fuel diesel without any engine conversion?
1. Page 8, at the time of this report what was the price of diesel/liter in Indonesia (Convert CHF to IDR)?
1. Page 8, at the time of this report what was price of biodiesel/liter in Indonesia (convert CHF to IDR)?
1. Do some research to determine the current prices of diesel vs. biodiesel are in Indonesia (cite the source).
1. What is a subsidy and how is affecting the market for biodiesel fuel?
1. Page 9, if 6.2 m3 of UCO collected/week is 89% of the minimum amount required for profitability than what is the minimum amount of UCO required to achieve profitability?
1. Page 9, LengisHijau initially projected collecting 15 m3 UCO per week. What percent is this of the minimum profitability?
1. Page 9, at the time of this report what was the “offered” rate of UCO in IDR per liter?
1. Page 10, recreate Table 1 in excel google drive. Convert CHF to USD and make a row for the most current information from LengisHijau (this will be obtained during a visit).
1. Page 10, Table 1, how does the most recent data on collection, production and sales compare to the data in the Table 1? Is LengisHijau having more success? Explain.
1. Page 10, from you excel spreadsheet create a line chart of all of the data from Table 1 and analyze interesting trends, outliers or phenomena found in the chart.
1. Page 10, Table 1 if LengisHijau sold 5,000 liters of Biodiesel in June 13 at CHF 085, how much revenue did they make for that month.
1. Page 10, use your spreadsheet to create a linear graph that represents the UCO collected between Dec 12 and July 13 (similar to that of Illustration 6). Write a linear equation for this relationship.
1. Page 12, what are some of the challenges that LengisHijau faces with making sales? How might Green School be able to help with this?
1. Page 14, using the data expenditure and income data from Table 2, create a break-even chart that shows the “lines of best fit” and their linear equations. Use the equations to show the solution or the “break even point” algebraically.
1. Page 14, What are the costs of production by percentage? What is the different between a fixed cost and a variable cost? What are some ways that LengisHijau might be able to reduce their costs? How might Green School help?
1. Page 15, According to the data inTable 3, when will LengisHijau not only break even, but be able to pay it’s debt?
1. Fill in the data for the 2015 in the table below:

1. Page 17 and 18, What are the future prospect for LengisHijau and how can Green School help?