Evaluating Retrofit Strategies for Greening Existing Buildings by Energy Modelling & Data Analytics

被引：0

作者：

Karkare, Anuj ^{[1
]}

Dhariwal, Abhimanyu ^{[1
]}

Puradbhat, Sumedh ^{[1
]}

Jain, Monika ^{[2
]}

机构：

[1] Indian Inst Technol, Dept Energy Sci Engn, Bombay, Maharashtra, India

[2] Indian Inst Technol, Ctr Urban Sci & Engn, Bombay, Maharashtra, India

来源：

2014 INTERNATIONAL CONFERENCE ON INTELLIGENT GREEN BUILDING AND SMART GRID (IGBSG) | 2014年

关键词：

Energy efficiency; energy modelling; solar; retrofit; building design;

D O I：

暂无

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Design strategies that account for local microclimatic conditions can reduce the overall energy consumption of buildings over its life. This paper evaluates non-structural retrofit strategies for reducing energy consumption for existing buildings. Based on real-life data on usage statistics of buildings and accounting for local climatic conditions, we validate energy consumption predictions by Sefaira (c) building simulation software. A comparative analysis is then performed for various energy conservation scenarios by estimating energy reduction and payback periods. Our analysis shows that various retrofit strategies can lead to reduction in energy consumption upto 60% with a pay back period of about 9 years.

引用

页数：4

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