Liens de la barre de menu commune

Energy efficiency measures – Residential – Apartment building – Performance analysis / China

Template assignment

The heating needs of an apartment building located in Shenyang, Liaoning, China, are met by a district heating system. Determine the energy savings achieved after the installation of water flow restrictors in the showers of each apartment. Also, determine the non-weather dependent energy consumption.

Teacher's notes

Follow these steps:

Start

►Select climate data for Shenyang/Dongta

Data

Step 1 - Consumption: Import fuel consumption data (district heating energy consumption data in kWh units) by selecting the user-defined fuel in the fuel list (Template_EEM_Residential_Apartment_Performance_Analysis_China.csv)
Step 2 - Factor of influence: Download NASA weather data
Step 3 - Data processing:
a. Calculate heating degree-days (the reference temperatures is estimated
at 18°C)
b. Merge heating degree-days into the district heating data table

Analytics

Whole data set: 2008-2011

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

Period prior to energy efficiency measure implementation: 2008

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 0 or skip this step
Step 3 - Comparison: Generate a CUSUM graph

Period after energy efficiency measure implementation: 2010

Step 1 - Baseline: Establish the baseline based on the actual district heating energy 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

The 2008 regression equation shows that the base load for each period (i.e. for each month) is approximately 13,600 kWh (b in the y = mx + b equation form); while the 2010 regression equation shows that the monthly base load is approximately 8,250 kWh. It can be assumed that adding water flow restrictors reduced the heating energy consumption by approximately 5,350 kWh per month. The 2010 CUSUM graph shows that the heating energy consumption was reduced by approximately 66,000 kWh during the first year following the implementation of the energy efficiency measure.
 
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 the report in PDF (*pdf) format

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.