DANSK DS/ISO 50046 PDF

DANSK DS/ISO 50046 PDF

Name:
DANSK DS/ISO 50046 PDF

Published Date:
03/04/2019

Status:
[ Active ]

Description:

General methods for predicting energy savings

Publisher:
Dansk Standard

Document status:
Active

Format:
Electronic (PDF)

Delivery time:
10 minutes

Delivery time (for Russian version):
200 business days

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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 50047 and ISO/IEC 13273-1).


Edition : 19
File Size : 1 file , 5.2 MB
Number of Pages : 66
Product Code(s) : DS-061, DS-061
Published : 03/04/2019

History

DANSK DSF/ISO/FDIS 50046
Published Date:
General methods for predicting energy savings
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DANSK DS/ISO 50046
Published Date: 03/04/2019
General methods for predicting energy savings
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