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BS ISO 50046:2019

$198.66

General methods for predicting energy savings

Published By Publication Date Number of Pages
BSI 2019 64
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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 50047and ISO/IEC 13273‑1).

PDF Catalog

PDF Pages PDF Title
2 National foreword
7 Foreword
8 Introduction
11 1 Scope
2 Normative references
3 Terms and definitions
15 4 Objectives, context and principles of calculation of PrES
4.1 Clarifying the objectives
4.2 Analysing the context
17 4.3 Principles
4.3.1 General
4.3.2 Initial planning
4.3.3 Appropriate level of accuracy
4.3.4 Transparency and reproducibility
4.3.5 Reliability and validation
18 5 Preparation and selection of the calculation method
5.1 General
20 5.2 Identification of the stakeholders
21 5.3 Description of an EPIA
5.3.1 General
5.3.2 General types of EPIA
5.3.3 Boundaries of the EPIA and PrES
22 5.3.4 Key questions about the planned implementation of EPIAs
5.4 Calculation objectives and required accuracy
5.5 Data availability and quality
23 5.6 Selection of the calculation method
5.6.1 General types and choice of the calculation method
5.6.2 Type of data analysis
24 5.6.3 Data collection techniques and sources
5.6.4 Type of calculation formula or model
26 5.7 Validation
28 6 Calculation process for an EPIA
6.1 General
6.2 Overall calculation process
6.3 Determination of the EnB
6.3.1 General
29 6.3.2 Types of EnB
30 6.3.3 Baseline period
6.3.4 Determination and validation of the EnB
31 6.4 Determination of predicted energy consumption
32 6.5 Calculation of the PrES
6.5.1 Specifying the calculation assumptions
33 6.5.2 Calculation
6.5.3 Documentation and validation
6.6 PrES over the prediction period
34 7 Aggregation of the PrES
7.1 General
35 7.2 Ensuring the consistency in aggregating PrES
7.3 Aggregation of PrES
37 7.4 Assessing the causality between an action plan, programme or policy and the EPIAs
7.5 Documentation and validation
38 8 Quality and uncertainty
8.1 General considerations
8.2 Quality criteria for the EPIAs and their implementation
8.3 Quality criteria for calculation methods
8.4 Analysing the quality and/or assessing uncertainty of PrES
40 Annex A (informative) Overview of the main criteria to take into account when using this document
42 Annex B (informative) Overview of the main issues subject to validation and/or documentation
44 Annex C (informative) Example templates for documenting a calculation method and PrES
47 Annex D (informative) Case example in the residential sector using reference data
53 Annex E (informative) Case example in the industrial sector using context-specific data
60 Annex F (informative) More information about lifetime of EPIAs, retention rate and persistence rate
62 Bibliography
BS ISO 50046:2019
$198.66