检索结果-南通市图书馆

Evaluation of building energy demand forecast models using multi-attribute decision making approach

energy and Built Environment 2024年第3期5卷 480-491页

作者： Nivethitha Somu Anupama Kowli Department of Electrical Engineering Indian Institute of Technology-BombayMumbaiMaharashtra 400076India

With the existence of several conventional and advanced building thermal energy demand forecast models to improve the energy efficiency of buildings,it is hard to find an appropriate,convenient,and efficient *** based on statistical indexes(MAE,RMSE,MAPE,etc.)that characterize the accuracy of the forecasts do not help in the identification of the efficient building thermal energy demand forecast tool since they do not reflect the efforts entailed in implementation of the forecast model,i.e.,data collection to production/use ***,this work presents a Gini Index based Measurement of Alternatives and Ranking according to COmpromise Solution(GI-MARCOS),a hybrid Multi Attribute Decision Making(MADM)approach for the identification of the most efficient building energy demand forecast ***-MARCOS employs(i)GI based objective weight method:assigns meaningful objective weights to the attributes in four phases(1:pre-processing,2:implementation,3:post-processing,and 4:use phase)thereby avoiding unnecessary biases in the expert’s opinion on weights and applicable to domains where there is a lack of domain expertise,and(ii)MARCOS:provides a robust and reliable ranking of alternatives in a dynamic environment.A case study with three alternatives evaluated over three to six attributes in four phases of implementation(pre-processing,implementation,post-processing and use)reveals that the use of GI-MARCOS improved the accuracy of alternatives MLR and BM by 6%and 13%,***,additional validations state that(i)MLR performs best in Phase 1 and 2,while ANN performs best in Phase 3 and 4 with BM providing a mediocre performance in all four phases,(ii)sensitivity analysis:provides robust ranking with interchange of weights across phases and attributes,and(iii)rank correlation:ranks produce by GI-MARCOS has a high correlation with GRA(0.999),COPRAS(0.9786),and ARAS(0.9775).

关键词： building energy demand Multi-attribute decision making Objective weights Forecast models Sensitivity analysis

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

The potential of remote sensing and GIS in urban building energy modelling

Energy and Built Environment

引用

energy and Built Environment 2024年第6期5卷 957-969页

作者： Arunim Anand Chirag Deb Centre for Urban Science and Engineering Indian Institute of Technology BombayMumbai 400076MaharashtraIndia School of Architecture Design and PlanningThe University of SydneyNSW 2006Australia

As the world continues to urbanize at an unprecedented rate,the energy demand in cities is *** account for over 75%of all the energy consumed in cities and are responsible for over two-thirds of the *** of energy demand in buildings is a highly integrative endeavour,bringing together the interdisciplinary fields of energy and urban studies,along with a host of technical domains namely,geography,engineering,economics,sociology,and *** the last decade,several urban building energy modelling tools(UBEMs)have been developed for estimation as well as prediction of energy demand in *** models are useful in policymaking as they can evaluate future urban energy ***,data acquisition for generating the input database for UBEM has been a major *** this review,a comprehensive assessment of the potential of remote sensing and GIS techniques for UBEM has been ***,the most common input variables of UBEM have been identified by reviewing recent publications on UBEM and then studies related to the acquisition of data corresponding to these variables have been *** than 140 research papers and review articles relevant to remote sensing and GIS applications for building level data extraction in urban areas and UBEM applications have been investigated for this *** going through level of details required for each of the input components of UBEM and studying the possibility of acquiring some of those data using remote sensing,it has been inferred that satellite remote sensing and Unmanned Aerial Vehicles(UAVs)have a strong potential in enhancing the input data space for UBEM but their applicability has been ***,the challenges of the usage of these technologies and the possible solutions have also been presented in this *** is recommended to utilise the existing methodologies of extracting information from remote sensing and GIS for UBEM,along with newer techniques such

关键词： Remote sensing GIS Urban building energy Modelling(UBEM) UAV building energy demand

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

OPTIMIZING WINDOW TO WALL RATIO FOR CONSERVING energy IN OFFICE buildingS FOR COOLING DOMINANT CLIMATES WITH AND WITHOUT DAYLIGHT UTILIZATION

引用

Journal of Green building 2019年第3期14卷 129-142页

作者： Madeeha Altaf Frances Hill School of Architecture University of LahorePakistanmadeeha Graduate School of the Environment Centre for Alternative TechnologyUKfrances

The construction of fully glazed commercial building facades responsible for high energy consumption has become a common architectural practice worldwide irrespective of the *** paper presents the methodology to optimize the Window to Wall Ratio(WWR)with and without daylight utilization to reduce energy consumption in office buildings for the climate of Lahore,Pakistan,using a simulation tool *** impacts of solar heat and daylight entering through the building façade with reference to different WWR and orientation were explored for the selection of optimum *** optimum WWR was selected on the basis of least energy consumption whilst achieving a threshold lighting *** daylight is not utilized,the energy demand is minimized by the lowest possible *** daylight utilization,energy demand is optimized by use of WWRs of 13%to 30%according to *** WWR with daylight utilization offered a more balanced *** methodology used in this study can be applied to any location around the world to find optimum WWR for any glazing type.

关键词： optimum WWR building energy demand daylight utilization cooling dominant climate threshold criteria

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Assessment of PV Shading Device on building energy Consumption Taking into Account Site Layout

引用

Journal of energy and Power Engineering 2012年第3期6卷 346-352页

作者： Maria Carla Di Vincenzo Dilay Kesten David Infield Electronic and Electrical Engineering Department Strathclyde University Glasgow G1 1XW UK Research Centre Sustainable energy Technology Stuttgart University of Applied Sciences Stuttgart 70174 Germany

This paper presents the results of a combined study of building energy consumption and the electricity production from PV modules integrated into a shading device, taking account of different site layouts. Various combinations of surrounding building configurations and the tilt angles of the shading device （that determines the PV module orientation） are examined.

关键词： Shading device PV site layout building energy demand energy supply annual performance.

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：