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Energy efficiency measures – Industrial – Rock excavation – Performance analysis / Brazil

Template assignment

Determine the annual energy savings achieved after the installation of a new energy efficient machinery at a rock quarry in Salvador, Bahia, Brazil, and calculate the energy usage per m³ of material produced.

Teacher's notes

Follow these steps:
 
Start

►Select climate data for Salvador (for reference purposes only)

 
Data

Step 1 - Consumption: Import electricity consumption data (Template_EEM_Industrial_Rock_Excavation_Performance_Analysis_Brazil.csv)
Step 2 - Factor of influence: Import production level data (Template_EEM_Industrial_Rock_Excavation_Performance_Analysis_Brazil.csv)
Step 3 - Data processing: Merge production level data into the electricity consumption data table
Note: Since electricity consumption data and production level data have the exact same time frame (i.e. data was collected on the same schedule), both data sets can be imported into the same data table, and therefore, there is no need to merge the data.

 

Analytics

Whole data set: 2009-2011

Step 1 - Baseline: Establish the baseline based on the entire duration of the data set using the regression analysis
Step 2 - Target: Skip this step
Step 3 - Comparison: Generate a CUSUM graph
Note: A change in the CUSUM graph slope indicates that a change occurred in the energy performance of the quarry (i.e. the installation of the new machinery).

Period prior to energy efficiency measure implementation: 2009-2010

Step 1 - Baseline: Establish the baseline based on the period prior to energy efficiency measure implementation using the regression analysis
Step 2 - Target: Set the target to reduce the electricity consumption by 10%
Step 3 - Comparison: Generate a CUSUM graph
Note: The last data point on the CUSUM graph shows the total energy savings after the energy efficiency measures are implemented based on the baseline prediction.

Period after energy efficiency measure implementation: 2010-2011

Step 1 - Baseline: Establish the baseline based on the actual electricity consumption (i.e. period after energy efficiency measure implementation) using the regression analysis
Step 2 - Target: Set the target to 0 or skip this step
Step 3 - Comparison:
a. Generate a CUSUM graph
b. Generate a control chart to track energy performance on a continuous basis
►Tools - Graph: Generate a time series graph showing the specific energy ratio in kWh/m³ units. The user can insert a new column in the Data worksheet and then calculate this value.

 
The 2009-2010 CUSUM graph shows that the electricity consumption was reduced by approximately 140 MWh during the 12 months after the energy efficiency measure were implemented.
 
Reporting

Step 1 - Report: Create a report for managers
Step 2 - Edit: Insert an optional text page to describe the analysis
Step 3 - Output: Export all the figures in the report in PNG (*.png) format to insert in presentation slides

Solution

The worked-out solution is the data file selected from within the RETScreen Project Database. The user automatically downloads the Project Database file while downloading the RETScreen software.