Please Submit Spreadsheets Copy Of The Project

Instructions1 Please Submit Spreadsheets Copy Of The Project With

Please submit spreadsheet(s) copy of the project with results and description of what you are doing. Attach the same spreadsheet(s) with formulas. Copy your work by right-clicking on “Sheet 1” at the bottom left of the page and selecting “Copy.” Paste your work to a new sheet by clicking on “+” next to Sheet 1. Then right-click on cell A1 of the new sheet and select “Paste.” Replace all = signs with ‘=’ signs in Sheet 2 to enable viewing formulas. Widen all columns to see entire formulas. Expand cells so all values and formulas are visible and understandable. Ensure the spreadsheet clearly shows your methodology and results.

Make sure to meet the lighting requirements in the specific room, choosing from two options: Option 1 with each light output of 800 lumens and initial cost of $18, replacing after 300 hours, with a usage cost of 0.022 kW/hr; or Option 2 with each light output of 1,100 lumens and initial cost of $35, replacing after 350 hours, with a usage cost of 0.025 kW/hr. The room requires minimum 4,000 lumens, with no wiring or maintenance costs. Replace lights with the same type upon burnout. Electricity costs $0.11 per kWh, and the room is needed for 36 months, with lights on for 400 hours per month. The goal is to determine the cost-minimizing combination of lights over this period, considering the initial investment, replacement, and energy costs, under a 1% monthly Minimum Attractive Rate of Return (MARR).

Paper For Above instruction

In this project, we are tasked with identifying the most cost-effective lighting solution to meet a specified illumination requirement within a designated room, adopting a systematic approach utilizing spreadsheet modeling. This involves comparing two options—each with distinct characteristics in terms of lumen output, cost, replacement frequency, and energy consumption—to find the optimal combination that minimizes total costs over a 36-month period. The analysis hinges upon detailed calculations of initial investments, operational and energy costs, replacements, and total illumination provided, ensuring compliance with the minimum lumen requirement of 4,000 lumens.

The first critical step involves constructing a detailed spreadsheet that accurately captures all relevant variables for each lighting option. This includes establishing columns for initial costs, lumen output, hours of operation, replacement intervals, energy usage, usage costs, total costs, and total lumens provided. Embedding formulas within the spreadsheet allows for dynamic adjustment of the number of lights used, accounting for their replacement schedules and cumulative costs. Copying and pasting sheets as instructed, with formulas visible, ensures transparency of the calculations and allows verification of the methodology.

In determining the optimal configuration, several cost components must be calculated meticulously. First, the initial investment per light is straightforward, multiplied by the number of lights chosen. Second, the operational costs involve computing the total energy used over 36 months, considering the number of hours per month that lights are on and their energy consumption rates. Calculations for energy costs incorporate the unit cost of electricity ($0.11 per kWh), multiplied by total energy consumption over the period. Third, replacements for lights are scheduled based on their burn-out hours, and each replaced light is considered an additional initial cost, consistently applying the same replacement regime throughout the project timeline.

By adjusting the number of lights from each option, and evaluating the total luminance provided, the model aims to find the combination that satisfies the minimum 4,000 lumens requirement at the lowest total cost. This involves iterative calculations where the sum of lumens meets or exceeds the threshold, and the total costs—sum of initial investments, replacement costs, and energy expenses—are minimized. The presence of constraints such as fixed hours of operation, no wiring or maintenance costs, and fixed replacement schedules simplifies the cost calculation but emphasizes the importance of optimizing initial investments and energy efficiency.

Furthermore, the application of the 1% monthly MARR influences the decision by discounting future costs, ensuring that the cost analysis accounts for the time value of money. The spreadsheet calculations incorporate this discount rate, providing a present value measurement of the total costs over the 36-month period, thus aligning with sound financial decision-making principles.

This project demonstrates the practical application of financial and operational analysis in technical decision-making. The combination of formulas, data management, and strategic scenario testing within the spreadsheet offers a comprehensive approach to optimizing lighting solutions for cost efficiency while satisfying design specifications. The final output enables actionable insights for selecting the most economical lighting configuration, illustrating the integration of engineering principles with financial analysis.

References

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