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Solar Photovoltaic Array Perimeter & Inverter Enclosure (Civil & Construction Engineering) Solution

Problem Overview

A civil engineering team designs an optimized perimeter and partition fencing layout for a 120,000Β m2120,000\text{ m}^2 photovoltaic collection field. Outer security fencing costs $150/m\$150/\text{m} while two internal inverter dividing fences cost $50/m\$50/\text{m}. We minimize total construction cost using single-variable calculus and verify the global minimum using the Second Derivative Test.


Step-by-Step Mathematical Solution

Step 1: Formulate Governing Objective and Constraint Equations

The governing process follows the Applied Optimization Modeling Framework: (Defined in Applied Optimization Modeling Framework.)

  1. Geometry & Cost Allocation:

    • Outer boundary: 2 horizontal sides of length yy and 2 vertical sides of length xx. Unit cost =$150/m= \$150/\text{m}.
    • Interior dividers: 2 vertical lines of length xx. Unit cost =$50/m= \$50/\text{m}.
    • Total cost of vertical segments (xx):
      Cx=(2Γ—150β‹…x)+(2Γ—50β‹…x)=300x+100x=400xC_x = (2 \times 150 \cdot x) + (2 \times 50 \cdot x) = 300x + 100x = 400x
    • Total cost of horizontal segments (yy):
      Cy=2Γ—150β‹…y=300yC_y = 2 \times 150 \cdot y = 300y
    • Total Cost Objective Function:
      C(x,y)=400x+300yC(x, y) = 400x + 300y
  2. Area Constraint Equation: The total enclosed land footprint is fixed at 120,000Β m2120,000\text{ m}^2:

    A=xβ‹…y=120,000A = x \cdot y = 120,000

Step 2: Variable Reduction (Substitution)

Isolate yy from the area constraint:

y=120,000xy = \frac{120,000}{x}
Substitute into the cost objective function:
C(x)=400x+300(120,000x)=400x+36,000,000x=400x+36,000,000xβˆ’1C(x) = 400x + 300\left(\frac{120,000}{x}\right) = 400x + \frac{36,000,000}{x} = 400x + 36,000,000 x^{-1}

Step 3: Establish the Context-Driven Domain

(Governed by Context-Driven Domain in Geometric Optimization.)

  • Physical lengths must be positive: x>0x > 0.
  • As xβ†’0x \to 0, yβ†’βˆžy \to \infty and C(x)β†’βˆžC(x) \to \infty.
  • As xβ†’βˆžx \to \infty, yβ†’0y \to 0 and C(x)β†’βˆžC(x) \to \infty.
  • Feasible domain is the open interval x∈(0,∞)x \in (0, \infty).

Step 4: Differentiate and Find Critical Numbers

Differentiate C(x)C(x) with respect to xx using the Power Rule:

Cβ€²(x)=ddx[400x+36,000,000xβˆ’1]=400βˆ’36,000,000x2C'(x) = \frac{d}{dx}\left[400x + 36,000,000 x^{-1}\right] = 400 - \frac{36,000,000}{x^2}
Set Cβ€²(x)=0C'(x) = 0 to identify stationary points:
400βˆ’36,000,000x2=0400 - \frac{36,000,000}{x^2} = 0
400=36,000,000x2400 = \frac{36,000,000}{x^2}
400x2=36,000,000400x^2 = 36,000,000
x2=36,000,000400=90,000x^2 = \frac{36,000,000}{400} = 90,000
x=90,000=300Β metersx = \sqrt{90,000} = 300\text{ meters}
(We reject the negative root x=βˆ’300Β mx = -300\text{ m} because distance cannot be negative).

Step 5: Verify Absolute Global Minimum via Second Derivative Test

Compute the second derivative:

Cβ€²β€²(x)=ddx[400βˆ’36,000,000xβˆ’2]=72,000,000x3C''(x) = \frac{d}{dx}\left[400 - 36,000,000 x^{-2}\right] = \frac{72,000,000}{x^3}
Evaluate at x=300Β mx = 300\text{ m}:
Cβ€²β€²(300)=72,000,000(300)3=72,000,00027,000,000=83>0C''(300) = \frac{72,000,000}{(300)^3} = \frac{72,000,000}{27,000,000} = \frac{8}{3} > 0
Since Cβ€²β€²(300)>0C''(300) > 0 and x=300Β mx = 300\text{ m} is the sole critical point in the domain (0,∞)(0, \infty), the Second Derivative Test proves that x=300Β mx = 300\text{ m} yields the unique absolute minimum cost.

Step 6: Compute Optimal Dimensions and Total Construction Cost

  1. Parallel Dimension (yy):
    y=120,000300=400Β metersy = \frac{120,000}{300} = 400\text{ meters}
  2. Minimum Total Construction Expenditure:
    C(300)=400(300)+300(400)=120,000+120,000=$240,000C(300) = 400(300) + 300(400) = 120,000 + 120,000 = \$240,000

Notice the classic economic equipartition principle: at the cost-optimized optimum, total spending on vertical fencing (400Γ—300=$120,000400 \times 300 = \$120,000) exactly balances total spending on horizontal fencing (300Γ—400=$120,000300 \times 400 = \$120,000).