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Condition-Energy Matrix

A matrix that plots the relationship (correlation) between the condition and energy efficiency of assets (or facilities) which is represented as a scatter plot.




Purpose
The primary purpose of the condition-energy correlation is listed below:


The Variables
The condition-age matrix is comprised of two dimensions, as follows:


The Horizontal Axis
The horizontal (x-axis) is comprised of the following condition grades:
The vertical (y-axis) is represented by the following energy classification:


FCI (x) - BEPI (y)



The Vertical Axis
the following concepts are pertinent to the development of hte vertical (y) axis on this matrix:
Further discussion on each of these concepts is included on their respective pages in this asset management glossary.


The Four Quadrants
Listed below are the four quadrants that make up the condition-energy matrix:
  • 1: Energy efficient buildings in good condition
  • 2: Energy efficient buildings in poor condition
  • 3: Energy inefficient buildings in good condition
  • 4: Energy inefficient buildings in poor condition


Methodology
Listed below are the key steps in the methodology to derive and analyze the condition-age matrix:
  • Conduct a facility condition assessment (FCA) to establish the condition of the facilities (horizontal axis)
  • Conduct and energy audit to establish the relative energy efficiency along the vertical axis.
  • Plot the correlations on the matrix
  • Establish the date of the matrix
  • Identify the number of facilities in each of the four quadrants.
  • Identify the copula that closest matches the pattern on the matrix
  • Determine the target quadrants for each facility.
  • Review against the data in other matrices, such as condition-priority matrix and condition-age matrix.



Analysis
Listed below are the five patterns that can potentially be discerned in the scatter plot data:


Evaluation
Listed below are some of the merits and advantages of the condition-energy matrix:
  • An intuitive and helpful representation of data.
Listed below are some of the limitation of the condition-energy matrix:
  • The matrix does not quantify the value of the energy measures.
  • There may be significant variability between the energy efficiency of different assets within the same building and this is lost in the blended results of the matrix.
  • Politicking cn asome
The vertical axis is subject to interpretations based on varied methodologies and KPIs proferred by different consultants.


    Management Principles
    Included below are some of the asset management principles to be considered relative to facilities in different locations on the condition-priority matrix:
    The four quadrants of the condition-energy matrix
    Fig. The four quadrants of the condition-energy matrix with the most desirable quadrant (#1) highlighted in orange.


    Various facilities represented as a scatter plot on the condition-energy matrix
    Fig. Various facilities represented as a scatter plot on the condition-energy matrix.


    Multivariate matrix revealing the correlations between condition, energy efficiency and capex.
    Fig. Multivariate matrix revealing the correlations between condition, energy and capital cost (capex).


    The impact of three projects on the multivariate analysis.
    Fig. Decision impacts of three projects on the multivariate matrix.


    Animation to reveal the results of strategic reinvestment at certain buildings/facilities and their resultant repositioning on the condition-energy matrix
    Fig. Animation to reveal the results of strategic reinvestment at certain buildings/facilities and their resultant repositioning on the condition-energy matrix.


    Illustration of how the facility condition index is generated for facilities to develop comparative analysis.
    Fig. Illustration of how the Facility Condition Index (FCI) is generated for facilities to develop the horizontal axis of the matrix.


    VFD retrofit
    Fig. An example of an energy efficiency measure - Triplex booster pump package replaced with package that includes VFDs.


    Multivariate analysis in the form of matrix overlays
    Fig. Multivariate analysis in the form of matrix overlays: condition-age matrix, condition-energy matrix, and condition-criticality matrix

    See also:
    Compare with:

      Condition-Energy matrix with actions for each quadrant
      Fig. Condition-Energy matrix with actions for each quadrant


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