{"id":324017,"date":"2024-10-19T22:27:26","date_gmt":"2024-10-19T22:27:26","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/bs-iso-500462019\/"},"modified":"2024-10-25T21:02:35","modified_gmt":"2024-10-25T21:02:35","slug":"bs-iso-500462019","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/bsi\/bs-iso-500462019\/","title":{"rendered":"BS ISO 50046:2019"},"content":{"rendered":"<p>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&nbsp;17742). Indicator-based methods (see ISO&nbsp;17742) and total-consumption-based methods (see ISO&nbsp;50047) are not included in the scope of this document.<\/p>\n<p>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.<\/p>\n<p>It is applicable to calculation of PrES for any:<\/p>\n<ul>\n<li>\n<p>type of EPIA;<\/p>\n<\/li>\n<li>\n<p>end-use sector;<\/p>\n<\/li>\n<li>\n<p>energy end-use;<\/p>\n<\/li>\n<li>\n<p>level of aggregation of energy savings;<\/p>\n<\/li>\n<li>\n<p>stakeholder.<\/p>\n<\/li>\n<\/ul>\n<blockquote>\n<p>NOTE&nbsp;1 Stakeholders can include private or public organizations, energy auditors, energy services companies, energy and equipment suppliers, policy makers, etc.<\/p>\n<\/blockquote>\n<p>This document considers PrES from:<\/p>\n<ul>\n<li>\n<p>an EPIA; and\/or<\/p>\n<\/li>\n<li>\n<p>an action plan, programme or policy (aggregated energy savings).<\/p>\n<\/li>\n<\/ul>\n<blockquote>\n<p>NOTE&nbsp;2 An action plan, programme or policy can be implemented at different scales (organization, city, region, country).<\/p>\n<\/blockquote>\n<p>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&nbsp;50047and ISO\/IEC&nbsp;13273\u20111).<\/p>\n<h4>PDF Catalog<\/h4>\n<table border=\"1px\" class=\"des-table\">\n<tr>\n<th>PDF Pages<\/th>\n<th>PDF Title<\/th>\n<\/tr>\n<tr>\n<td><b>2<b><\/td>\n<td>National foreword  <\/td>\n<\/tr>\n<tr>\n<td><b>7<b><\/td>\n<td>Foreword  <\/td>\n<\/tr>\n<tr>\n<td><b>8<b><\/td>\n<td>Introduction  <\/td>\n<\/tr>\n<tr>\n<td><b>11<b><\/td>\n<td>1 Scope <br \/> 2 Normative references <br \/> 3 Terms and definitions  <\/td>\n<\/tr>\n<tr>\n<td><b>15<b><\/td>\n<td>4 Objectives, context and principles of calculation of PrES <br \/> 4.1 Clarifying the objectives <br \/> 4.2 Analysing the context  <\/td>\n<\/tr>\n<tr>\n<td><b>17<b><\/td>\n<td>4.3 Principles <br \/> 4.3.1 General <br \/> 4.3.2 Initial planning <br \/> 4.3.3 Appropriate level of accuracy <br \/> 4.3.4 Transparency and reproducibility <br \/> 4.3.5 Reliability and validation  <\/td>\n<\/tr>\n<tr>\n<td><b>18<b><\/td>\n<td>5 Preparation and selection of the calculation method <br \/> 5.1 General  <\/td>\n<\/tr>\n<tr>\n<td><b>20<b><\/td>\n<td>5.2 Identification of the stakeholders  <\/td>\n<\/tr>\n<tr>\n<td><b>21<b><\/td>\n<td>5.3 Description of an EPIA <br \/> 5.3.1 General <br \/> 5.3.2 General types of EPIA <br \/> 5.3.3 Boundaries of the EPIA and PrES  <\/td>\n<\/tr>\n<tr>\n<td><b>22<b><\/td>\n<td>5.3.4 Key questions about the planned implementation of EPIAs <br \/> 5.4 Calculation objectives and required accuracy <br \/> 5.5 Data availability and quality  <\/td>\n<\/tr>\n<tr>\n<td><b>23<b><\/td>\n<td>5.6 Selection of the calculation method <br \/> 5.6.1 General types and choice of the calculation method <br \/> 5.6.2 Type of data analysis  <\/td>\n<\/tr>\n<tr>\n<td><b>24<b><\/td>\n<td>5.6.3 Data collection techniques and sources <br \/> 5.6.4 Type of calculation formula or model  <\/td>\n<\/tr>\n<tr>\n<td><b>26<b><\/td>\n<td>5.7 Validation  <\/td>\n<\/tr>\n<tr>\n<td><b>28<b><\/td>\n<td>6 Calculation process for an EPIA <br \/> 6.1 General <br \/> 6.2 Overall calculation process <br \/> 6.3 Determination of the EnB <br \/> 6.3.1 General  <\/td>\n<\/tr>\n<tr>\n<td><b>29<b><\/td>\n<td>6.3.2 Types of EnB  <\/td>\n<\/tr>\n<tr>\n<td><b>30<b><\/td>\n<td>6.3.3 Baseline period <br \/> 6.3.4 Determination and validation of the EnB  <\/td>\n<\/tr>\n<tr>\n<td><b>31<b><\/td>\n<td>6.4 Determination of predicted energy consumption  <\/td>\n<\/tr>\n<tr>\n<td><b>32<b><\/td>\n<td>6.5 Calculation of the PrES <br \/> 6.5.1 Specifying the calculation assumptions  <\/td>\n<\/tr>\n<tr>\n<td><b>33<b><\/td>\n<td>6.5.2 Calculation <br \/> 6.5.3 Documentation and validation <br \/> 6.6 PrES over the prediction period  <\/td>\n<\/tr>\n<tr>\n<td><b>34<b><\/td>\n<td>7 Aggregation of the PrES <br \/> 7.1 General  <\/td>\n<\/tr>\n<tr>\n<td><b>35<b><\/td>\n<td>7.2 Ensuring the consistency in aggregating PrES <br \/> 7.3 Aggregation of PrES  <\/td>\n<\/tr>\n<tr>\n<td><b>37<b><\/td>\n<td>7.4 Assessing the causality between an action plan, programme or policy and the EPIAs <br \/> 7.5 Documentation and validation  <\/td>\n<\/tr>\n<tr>\n<td><b>38<b><\/td>\n<td>8 Quality and uncertainty <br \/> 8.1 General considerations <br \/> 8.2 Quality criteria for the EPIAs and their implementation <br \/> 8.3 Quality criteria for calculation methods <br \/> 8.4 Analysing the quality and\/or assessing uncertainty of PrES  <\/td>\n<\/tr>\n<tr>\n<td><b>40<b><\/td>\n<td>Annex A (informative) Overview of the main criteria to take into account when using this document  <\/td>\n<\/tr>\n<tr>\n<td><b>42<b><\/td>\n<td>Annex B (informative) Overview of the main issues subject to validation and\/or documentation  <\/td>\n<\/tr>\n<tr>\n<td><b>44<b><\/td>\n<td>Annex C (informative) Example templates for documenting a calculation method and PrES  <\/td>\n<\/tr>\n<tr>\n<td><b>47<b><\/td>\n<td>Annex D (informative) Case example in the residential sector using reference data  <\/td>\n<\/tr>\n<tr>\n<td><b>53<b><\/td>\n<td>Annex E (informative) Case example in the industrial sector using context-specific data  <\/td>\n<\/tr>\n<tr>\n<td><b>60<b><\/td>\n<td>Annex F (informative) More information about lifetime of EPIAs, retention rate and persistence rate  <\/td>\n<\/tr>\n<tr>\n<td><b>62<b><\/td>\n<td>Bibliography  <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p><b>General methods for predicting energy savings<\/b><\/p>\n<table class=\"shortdes-table\" style=\"width: 100%\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td>Published By<\/td>\n<td>Publication Date<\/td>\n<td>Number of Pages<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/pdfstandards.shop\/product-category\/publishers\/bsi\/\"><b>BSI<\/b><\/a><\/td>\n<td>2019<\/td>\n<td>64<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":324022,"template":"","meta":{"rank_math_lock_modified_date":false,"ep_exclude_from_search":false},"product_cat":[2641],"product_tag":[],"class_list":{"0":"post-324017","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-bsi","8":"first","9":"instock","10":"sold-individually","11":"shipping-taxable","12":"purchasable","13":"product-type-simple"},"_links":{"self":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product\/324017","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media\/324022"}],"wp:attachment":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media?parent=324017"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_cat?post=324017"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_tag?post=324017"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}