The Development of a Whole-Building Energy Baseline Model for the Measurement & Verification of a Commercial Building

Mr W. P. Robbertse, Mr W. H. Kaiser, W. D. Heijer
{"title":"The Development of a Whole-Building Energy Baseline Model for the Measurement & Verification of a Commercial Building","authors":"Mr W. P. Robbertse, Mr W. H. Kaiser, W. D. Heijer","doi":"10.2139/ssrn.3658993","DOIUrl":null,"url":null,"abstract":"This paper focusses on a whole-building energy baseline model that was developed for an office building in South Africa. The research was driven by the 12L Tax Incentive which was promulgated in December 2013 and will be operational until 1 January 2022. Currently, the 12L Tax incentive awards energyefficient users with a 95 cents tax incentive per kWh of measured and verified savings achieved. These savings are however directly influenced by the level of uncertainty of the baseline model which is governed by the SANS 50010:2011.<br><br>The SANS 50010:2011 standard states that uncertainty shall be managed to deliver conservative results in order to guarantee the credibility of the reported energy performance. The uncertainty should be applied to the savings and not the overall energy use. Thus it has a direct effect on the quantity of the savings determined. The aim of the conducted research was to develop a baseline that would report the maximum savings that fall within acceptable uncertainty and confidence levels as required by the standard. A total of six models were developed and evaluated during this research. The results found that the Day-Time-Temperature 24 x 7 x 12 model delivered optimal results with a precision of 8.9% at a 80% confidence level. Compared against the worst performing model, the savings increased by 59,493 kWh and the associated tax incentive more than tripled with an increase of R 67104. <br>","PeriodicalId":204209,"journal":{"name":"SRPN: Energy Politics (Topic)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SRPN: Energy Politics (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3658993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper focusses on a whole-building energy baseline model that was developed for an office building in South Africa. The research was driven by the 12L Tax Incentive which was promulgated in December 2013 and will be operational until 1 January 2022. Currently, the 12L Tax incentive awards energyefficient users with a 95 cents tax incentive per kWh of measured and verified savings achieved. These savings are however directly influenced by the level of uncertainty of the baseline model which is governed by the SANS 50010:2011.

The SANS 50010:2011 standard states that uncertainty shall be managed to deliver conservative results in order to guarantee the credibility of the reported energy performance. The uncertainty should be applied to the savings and not the overall energy use. Thus it has a direct effect on the quantity of the savings determined. The aim of the conducted research was to develop a baseline that would report the maximum savings that fall within acceptable uncertainty and confidence levels as required by the standard. A total of six models were developed and evaluated during this research. The results found that the Day-Time-Temperature 24 x 7 x 12 model delivered optimal results with a precision of 8.9% at a 80% confidence level. Compared against the worst performing model, the savings increased by 59,493 kWh and the associated tax incentive more than tripled with an increase of R 67104.
商业建筑能耗测量与验证的全建筑能耗基线模型的建立
本文的重点是整个建筑的能源基线模型,是在南非的办公楼开发的。这项研究是在2013年12月颁布的12L税收激励政策的推动下进行的,该政策将持续到2022年1月1日。目前,12L税收奖励奖励节能用户,每千瓦时可获得95美分的税收奖励。然而,这些节省直接受到由SANS 50010:2011管理的基线模型的不确定性水平的影响。SANS 50010:2011标准规定,为了保证报告的能源性能的可信度,不确定性应被管理以提供保守的结果。不确定性应该应用于节省的能源,而不是整体的能源使用。因此,它对所确定的储蓄数量有直接影响。所进行研究的目的是制定一个基线,以报告在标准所要求的可接受的不确定性和信任水平范围内的最大节省。本研究共开发并评估了6个模型。结果发现,白天-温度24 x 7 x 12模型在80%的置信度下提供了精度为8.9%的最佳结果。与表现最差的型号相比,节省了59,493千瓦时,相关的税收激励增加了67104卢比,增加了两倍多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信