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Energy Consumption & Efficiency Solutions

GAEDKeeper LITE

Upgrades identified by GAEDKeeper Lite in a home assessment can cut 5% to 30% off of your monthly energy bill.

  • Bill validation - Automatically identify any billing or contract issues. Using past trends to estimate future energy costs is invaluable for budgetary planning.
  • Identify Cost Saving Opportunities - Consolidating your energy data into one place provides clear oversight of your usage. This allows for cost saving opportunities to be easily identified and projects to be validated.

Cost savings and reduce environmental impact

SGD 50.00
Contact us here

GAEDKeeper BASIC

The most basic assessment is the Level 1 virtual energy efficiency assessment, intended to provide organizations with a starting point for making Improvements.

  • Automated Data Processing - Save time by automating all your energy data processing and management. GAEDKeeper uses proprietary technology to consume the energy data that you already have.
  • Recommendations will incorporate demonstrated and tested arrangements from our platform.

Select the right approach for implementing your facility's ECMs from our energy efficiency solutions portfolio.

SGD 200.00
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The GAED Way: Self-Assessment

Access the GAED Platform by means of self-assessment for easier processing and instantaneous results!

  • Upload the data needed to begin assessment.
  • Generate assessment reports supplied with practices that help you meet the requirements of the report.
  • Analyse the total electrical energy consumption or generation.
  • Get recommendations on equipment and receive financial analysis to implement specific energy-efficient measures.
 

Process Breakdown

  • Energy Efficiency Assessor

    Assessment Preparation:
    1. Send L1 data collection form
    2. Educate client on the minimum data collection requirement

  • Data Collection From Equipment

    From every data source:
    1. Advance meter systems
    2. Manually read meters
    3. Utility interval data
    4. Utility billing data

  • Data Review and Analysis

    1. Data upload
    2. Analysis
    3. Data Summary
    4. Presentation of statistical significance

  • Report Development

    The generated report will:
    1. Define data reliability as “sufficiently reliable data”
    2. Compare the report to information or data external to the system