## Step 1: Define the symbolic representation of the variables
The variables are defined as follows: 
- $x_0$ represents the quantity of candles,
- $x_1$ represents the quantity of paper towel rolls,
- $x_2$ represents the quantity of packs of paper plates,
- $x_3$ represents the quantity of lightbulbs.

## Step 2: Convert the natural language description into a symbolic representation
The symbolic representation of the variables is:
```json
{
    'sym_variables': [
        ('x0', 'candles'), 
        ('x1', 'paper towel rolls'), 
        ('x2', 'packs of paper plates'), 
        ('x3', 'lightbulbs')
    ],
}
```

## Step 3: Define the objective function in symbolic notation
The objective function to maximize is $3.07x_0 + 7.66x_1 + 1.18x_2 + 5.04x_3$.

## Step 4: List the constraints in symbolic notation
The constraints are:
- $x_0 + x_1 + 9x_2 + 2x_3 \leq 169$ (storage space),
- $4x_0 + 6x_1 + 5x_2 + 6x_3 \leq 186$ (sustainability score),
- $6x_0 + 8x_1 + x_2 + 3x_3 \leq 220$ (usefulness rating),
- $8x_0 + 8x_1 + 10x_2 + 7x_3 \leq 100$ (dollar value),
- $x_0 + 9x_2 \geq 28$,
- $9x_2 + 2x_3 \geq 34$,
- $x_1 + 9x_2 \geq 42$,
- $6x_1 + 5x_2 \geq 45$,
- $5x_2 + 6x_3 \geq 30$,
- $6x_0 + x_2 + 3x_3 \geq 36$,
- $6x_0 + 8x_1 + x_2 \geq 36$,
- $6x_0 + x_2 + 3x_3 \geq 27$,
- $6x_0 + 8x_1 + x_2 \geq 27$,
- $8x_0 + 7x_3 \geq 16$,
- $8x_0 + 10x_2 \geq 13$,
- $8x_0 + 8x_1 + 7x_3 \geq 14$,
- $8x_0 + 8x_1 + 10x_2 \geq 14$,
- $8x_0 + 8x_1 + 7x_3 \geq 13$,
- $8x_0 + 8x_1 + 10x_2 \geq 13$,
- $x_1 + 9x_2 \leq 101$,
- $x_1 + 2x_3 \leq 132$,
- $x_0 + 9x_2 \leq 157$,
- $x_0 + x_1 + 2x_3 \leq 121$,
- $x_0 + x_1 + 9x_2 + 2x_3 \leq 121$,
- $4x_0 + 6x_1 \leq 176$,
- $4x_0 + 6x_1 + 6x_3 \leq 76$,
- $4x_0 + 5x_2 + 6x_3 \leq 112$,
- $4x_0 + 6x_1 + 5x_2 + 6x_3 \leq 112$,
- $8x_1 + x_2 \leq 142$,
- $x_2 + 3x_3 \leq 99$,
- $6x_0 + x_2 \leq 156$,
- $6x_0 + 8x_1 + x_2 + 3x_3 \leq 156$,
- $8x_1 + 7x_3 \leq 36$,
- $8x_0 + 10x_2 \leq 95$,
- $8x_0 + 8x_1 + 10x_2 \leq 100$,
- $8x_0 + 8x_1 + 10x_2 + 7x_3 \leq 100$
}
```

## 5: Write the Gurobi code
```python
import gurobi

# Create a new model
m = gurobi.Model()

# Define the variables
x0 = m.addVar(name='candles', vtype='I')
x1 = m.addVar(name='paper_towel_rolls', vtype='I')
x2 = m.addVar(name='packs_of_paper_plates', vtype='I')
x3 = m.addVar(name='lightbulbs', vtype='I')

# Define the objective function
m.setObjective(3.07 * x0 + 7.66 * x1 + 1.18 * x2 + 5.04 * x3, gurobi.GRB.MAXIMIZE)

# Add constraints
m.addConstr(x0 + x1 + 9 * x2 + 2 * x3 <= 169)
m.addConstr(4 * x0 + 6 * x1 + 5 * x2 + 6 * x3 <= 186)
m.addConstr(6 * x0 + 8 * x1 + x2 + 3 * x3 <= 220)
m.addConstr(8 * x0 + 8 * x1 + 10 * x2 + 7 * x3 <= 100)

m.addConstr(x0 + 9 * x2 >= 28)
m.addConstr(9 * x2 + 2 * x3 >= 34)
m.addConstr(x1 + 9 * x2 >= 42)
m.addConstr(6 * x1 + 5 * x2 >= 45)
m.addConstr(5 * x2 + 6 * x3 >= 30)
m.addConstr(6 * x0 + x2 + 3 * x3 >= 36)
m.addConstr(6 * x0 + 8 * x1 + x2 >= 36)
m.addConstr(6 * x0 + x2 + 3 * x3 >= 27)
m.addConstr(6 * x0 + 8 * x1 + x2 >= 27)
m.addConstr(8 * x0 + 7 * x3 >= 16)
m.addConstr(8 * x0 + 10 * x2 >= 13)
m.addConstr(8 * x0 + 8 * x1 + 7 * x3 >= 14)
m.addConstr(8 * x0 + 8 * x1 + 10 * x2 >= 14)
m.addConstr(8 * x0 + 8 * x1 + 7 * x3 >= 13)
m.addConstr(8 * x0 + 8 * x1 + 10 * x2 >= 13)

m.addConstr(x1 + 9 * x2 <= 101)
m.addConstr(x1 + 2 * x3 <= 132)
m.addConstr(x0 + 9 * x2 <= 157)
m.addConstr(x0 + x1 + 2 * x3 <= 121)
m.addConstr(x0 + x1 + 9 * x2 + 2 * x3 <= 121)
m.addConstr(4 * x0 + 6 * x1 <= 176)
m.addConstr(4 * x0 + 6 * x1 + 6 * x3 <= 76)
m.addConstr(4 * x0 + 5 * x2 + 6 * x3 <= 112)
m.addConstr(4 * x0 + 6 * x1 + 5 * x2 + 6 * x3 <= 112)
m.addConstr(8 * x1 + x2 <= 142)
m.addConstr(x2 + 3 * x3 <= 99)
m.addConstr(6 * x0 + x2 <= 156)
m.addConstr(6 * x0 + 8 * x1 + x2 + 3 * x3 <= 156)
m.addConstr(8 * x1 + 7 * x3 <= 36)
m.addConstr(8 * x0 + 10 * x2 <= 95)
m.addConstr(8 * x0 + 8 * x1 + 10 * x2 <= 100)
m.addConstr(8 * x0 + 8 * x1 + 10 * x2 + 7 * x3 <= 100)

# Solve the model
m.optimize()

# Print the solution
if m.status == gurobi.GRB.OPTIMAL:
    print('Objective: ', m.objVal)
    print('Candles: ', x0.varValue)
    print('Paper Towel Rolls: ', x1.varValue)
    print('Packs of Paper Plates: ', x2.varValue)
    print('Lightbulbs: ', x3.varValue)
else:
    print('No solution found')
```