Comparative Analysis of Horticultural Lighting Systems

Centered-Square COB LED System

COB LEDs (Samsung BXRE-30E6500-C-83) are arranged in a centered square number sequence. No secondary optics are used. Layout is defined by the centered square number integer sequence (Online Encyclopedia of Integer Sequences: A001844):

\(C(n) = (2n-1)^2\)

Centered Square COB LED Arrangement

Figure 1: Centered Square COB LED Arrangement.

Uniform-Matrix Gen 2 System

Samsung SI-B8T502560WW modules are placed in a standard rectangular matrix layout, commonly used in commercial applications.

Uniform Matrix Arrangement

Figure 2: Uniform Matrix Arrangement of Gen 2 Modules.

Simulation Approach

Photometric data (.ies files), geometric arrangements, and surface reflectances were used in DIALux to simulate lux distributions. Results were then converted to PPFD using Spectral Power Distribution (SPD)-derived conversion factors.

Lux to PPFD Conversion

The conversion from illuminance (lux) to photosynthetic photon flux density (PPFD, in μmol m−2 s−1) uses the LED’s normalized spectral power distribution I(λ) over a wavelength range [λ1, λ2]. In our approach, PPFD is calculated as:

\[ \text{PPFD} = \frac{10^6}{N_A \, h \, c} \int_{\lambda_1}^{\lambda_2} I(\lambda)\,\bigl(\lambda\times10^{-9}\bigr)\,d\lambda \]

where:

Illuminance, E (in lux), is given by:

\[ E = 683 \int_{\lambda_1}^{\lambda_2} I(\lambda)\,V(\lambda)\,d\lambda \]

where V(λ) is the CIE photopic luminous efficiency function and 683 lux W−1 is the maximum luminous efficacy of radiation.

Therefore, the lux-to-PPFD conversion factor, C (in μmol m−2 s−1 lux−1), is:

\[ C = \frac{\text{PPFD}}{E} = \frac{\displaystyle\frac{10^6}{N_A \, h \, c} \int_{\lambda_1}^{\lambda_2} I(\lambda)\,\bigl(\lambda\times10^{-9}\bigr)\,d\lambda} {683 \displaystyle \int_{\lambda_1}^{\lambda_2} I(\lambda)\,V(\lambda)\,d\lambda} \]

Conversion factors used:

Results

Novel System PAR Map

Figure 3: Novel System PAR Map

Conventional System PAR Map

Figure 4: Conventional System PAR Map

Novel System Heatmap

Figure 5: Novel System Heatmap

Conventional System Heatmap

Figure 6: Conventional System Heatmap

Simulation Metrics
MetricNovel SystemConventional System
Average PPFD838.98830.55
RMSE10.28138.10
DOU (%)98.7783.37
MAD7.99119.40
CV (%)1.2316.63
Min/Max PPFD0.940.48

Mathematical Representation of Metrics

Here, we define the mathematical formulations used to calculate the metrics presented in the table above. Let Pi represent the PPFD value at the i-th measurement point, and let n be the total number of measurement points (here, n = 98).

  1. Average PPFD (PPFDavg):
    \[ \text{PPFD}_{\text{avg}} \;=\; \frac{1}{n} \sum_{i=1}^{n} P_i \]
  2. Root Mean Squared Error (RMSE):
    \[ \text{RMSE} \;=\; \sqrt{\frac{1}{n} \sum_{i=1}^{n} \bigl(P_i - \text{PPFD}_{\text{avg}}\bigr)^2} \]
  3. Degree of Uniformity (DOU):
    \[ \text{DOU} \;=\; 100 \times \Bigl(1 - \frac{\text{RMSE}}{\text{PPFD}_{\text{avg}}}\Bigr) \]
  4. Mean Absolute Deviation (MAD):
    \[ \text{MAD} \;=\; \frac{1}{n} \sum_{i=1}^{n} \bigl|P_i - \text{PPFD}_{\text{avg}}\bigr| \]
  5. Coefficient of Variation (CV):

    CV is the ratio of the standard deviation (σ) to the average PPFD, expressed as a percentage. The standard deviation is:

    \[ \sigma \;=\; \sqrt{\frac{1}{n} \sum_{i=1}^{n} \bigl(P_i - \text{PPFD}_{\text{avg}}\bigr)^2} \]

    Thus

    \[ \text{CV} \;=\; 100 \times \frac{\sigma}{\text{PPFD}_{\text{avg}}} \]

    Note: Since we use all data points, population and sample standard deviations coincide.

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