NF ISO 50046

NF ISO 50046

September 2019
Standard Current

General methods for predicting energy savings

This document specifies general methods for the calculation of predicted energy savings (PrES), using measure-based calculation methods, also known as bottom-up or energy performance improvement actions (EPIAs)-based methods (see ISO 17742). Indicator-based methods (see ISO 17742) and total-consumption-based methods (see ISO 50047) are not included in the scope of this document. This document provides general principles for categorizing and choosing the method, taking account of the context, targeted accuracy and resources available for calculating the PrES. It also provides guidance on the conditions for ensuring the quality of the PrES, their documentation and validation. It is applicable to calculation of PrES for any: — type of EPIA; — end-use sector; — energy end-use; — level of aggregation of energy savings; — stakeholder. NOTE 1 Stakeholders can include private or public organizations, energy auditors, energy services companies, energy and equipment suppliers, policy makers, etc. This document considers PrES from: — an EPIA; and/or — an action plan, programme or policy (aggregated energy savings). NOTE 2 An action plan, programme or policy can be implemented at different scales (organization, city, region, country). This document describes how to calculate PrES over a prediction period. It can be used to calculate PrES in terms of primary energy or final (or delivered) energy (as defined in ISO 50047 and ISO/IEC 13273-1).

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Main informations

Collections

National standards and national normative documents

Publication date

September 2019

Number of pages

66 p.

Reference

NF ISO 50046

ICS Codes

27.015   Energy efficiency. Energy conservation in general

Classification index

X30-045

Print number

1

International kinship

Sumary
General methods for predicting energy savings

This document specifies general methods for the calculation of predicted energy savings (PrES), using measure-based calculation methods, also known as bottom-up or energy performance improvement actions (EPIAs)-based methods (see ISO 17742). Indicator-based methods (see ISO 17742) and total-consumption-based methods (see ISO 50047) are not included in the scope of this document.

This document provides general principles for categorizing and choosing the method, taking account of the context, targeted accuracy and resources available for calculating the PrES. It also provides guidance on the conditions for ensuring the quality of the PrES, their documentation and validation.

It is applicable to calculation of PrES for any:

— type of EPIA;

— end-use sector;

— energy end-use;

— level of aggregation of energy savings;

— stakeholder.

NOTE 1 Stakeholders can include private or public organizations, energy auditors, energy services companies, energy and equipment suppliers, policy makers, etc.

This document considers PrES from:

— an EPIA; and/or

— an action plan, programme or policy (aggregated energy savings).

NOTE 2 An action plan, programme or policy can be implemented at different scales (organization, city, region, country).

This document describes how to calculate PrES over a prediction period. It can be used to calculate PrES in terms of primary energy or final (or delivered) energy (as defined in ISO 50047 and ISO/IEC 13273-1).

Table of contents
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  • 1 Domaine d'application
  • 2 Références normatives
  • 3 Termes et définitions
  • 4 Objectifs, contexte et principes de calcul des EEE
  • 5 Préparation et choix de la méthode de calcul
  • 6 Processus de calcul d'une AAPE
  • 7 Agrégation des EEE
  • 8 Qualité et incertitude
  • Annexe A Vue d'ensemble des principaux critères à prendre en compte lors de l'utilisation du présent document
  • Annexe B Vue d'ensemble des principaux points soumis à validation et/ou à documentation
  • Annexe C Exemple de modèles pour la documentation d'une méthode de calcul et des EEE
  • Annexe D Exemple de cas utilisant des données de référence dans le secteur résidentiel
  • Annexe E Exemple de cas utilisant des données spécifiques au contexte dans le secteur industriel
  • Annexe F Informations complémentaires sur la durée de vie des AAPE, le taux de rétention et le taux de persistance
  • Bibliographie
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