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Context and Overview

The Probabilistic Approach for the Evaluation of Energy Efficiency Measures MC is designed to equip professionals with the skills and knowledge needed to address the critical challenges of energy efficiency and financial analysis within the context of building sustainability. In an age marked by environmental concerns and the need for cost-effective energy solutions, this MC offers a comprehensive understanding of how to evaluate and implement energy-saving measures in buildings. Learners will delve into the core principles of probabilistic modelling, data analysis, and financial evaluation, gaining practical insights into assessing the impact of energy efficiency measures while accounting for uncertainties in real-world scenarios. This MC empowers individuals to make informed, data-driven decisions regarding the implementation of energy-saving strategies in buildings.


Learning Objectives

On the completion of the micro-credential, participants will be able to:

  • Recall key concepts and principles related to energy efficiency measures in buildings.
  • Explain the probabilistic approach for evaluating energy efficiency measures.
  • Describe the relationship between energy conservation and financial sustainability.
  • Apply probabilistic modelling techniques to analyse energy efficiency measures.
  • Evaluate the potential impact and risks associated with energy efficiency strategies within a probabilistic framework.

  • Background

    Knowledge of energy efficiency of buildings and energy auditing

    1. Course Number:

      MC15 | SHERLOCK
    2. Up to 15hrs per week for 5 weeks
    Sections
    1. Introduction to the Evaluation of Energy Efficiency Measures
    2. The Energy Renovation Tool - A practial approach for Deterministic and Probabilitic evaluations
    3. Using the ERV-Tool
    4. Final Exam
    Created and delivered by:
    Professor Vincenzo Bianco
    UNIPARTHENOPE
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