5.6 Energy Management Softwares and Tools

Mahmud, Khizir; Soetanto, Danny; Town, Graham

doi:10.1016/b978-0-12-809597-3.00518-6

Cited by 3 publications

(6 citation statements)

References 194 publications

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“…This can be achieved by an effective selection of BIM tools, categorising their respective features, and making the quantity of tool selection more manageable [38]. Mahmud et al [19] considered over 200 tools, based on the "CEN-CENELEC-ETSI Smart Grid Reference Architecture" document to deal with issues of complex projects, referring to the roles, domain, and hierarchy zone. The tool choice selection was set into main CAD software for a hybrid approach to achieve set targets, for example, by using eQUEST or EnergyPlus [39].…”

Section: Bim Application For Building Energy Assessmentmentioning

confidence: 99%

“…Energies 2021, 14, 8487 9 of 15 e-Quest and DOE-2 are simulation engines that are used to extract results from Green Building Studio [19], which has given these tools higher quality results. DesignBuilder is another comprehensive and widely used tool, which uses EnergyPlus as a simulation engine to perform the energy performance simulations [19]. In Spain, the DOE-2 calculation engine is used along with ArchiCAD or Revit tools to enable the exchange of information [49].…”

Section: Promoting Buildings' Energy Efficiency Using Hybrid Bim Toolsmentioning

confidence: 99%

“…Numerous studies have found that application of BIM software includes the selection of the most appropriate software that can address the scope of the work effectively, thus producing effective solutions in terms of energy efficiency. A study by Mahmud et al [19] classified two hundred softwares based on domain, zone, and layer within the "CEN-CENELEC-ETSI Smart Grid Reference Architecture". Rezaee et al [20] proposed an energy model that estimated the energy performance of different design alternatives in a specific design decision scenario.…”

Section: Introductionmentioning

confidence: 99%

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Review of the Building Information Modelling (BIM) Implementation in the Context of Building Energy Assessment

et al. 2021

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In recent years, many researchers across the world have addressed the implementation of Building Information Modelling (BIM) in the energy assessment of the built environment. However, several potential issues still need to be resolved in order to utilise the benefits provided by BIM to a maximum degree. To fill this gap, a systematic literature review is conducted in this study to critically investigate the utilisation of BIM tools in energy assessment. To achieve the above-mentioned objective, after shortlisting the relevant papers published hitherto, using keyword searching, a systematic review was undertaken, including the application of BIM in the contexts of different countries, types of BIM tools, BIM and Life Cycle Assessment (LCA) integration, energy affiliations, stakeholders’ involvement and their roles, uncertainty, and sensitivity analysis. The outcomes show the most widely used and effective BIM tools in different types of construction projects in various countries. The review of the literature clearly shows that BIM tools can effectively be used in the assessment of energy performance of buildings. The article gives insight to engineers, architecture, and decision makers to carefully select appropriate BIM tools in terms of energy assessment.

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Section: Bim Application For Building Energy Assessmentmentioning

confidence: 99%

Section: Promoting Buildings' Energy Efficiency Using Hybrid Bim Toolsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Review of the Building Information Modelling (BIM) Implementation in the Context of Building Energy Assessment

et al. 2021

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“…2. The architecture by CEN-CENELEC-ETSI Smart Grid Coordination Group includes five layers, five domains, and six zones [164]- [167]. Simulation software is arranged following these layers, zones, and domains that are relevant to the generation, transmission, and distribution systems, as shown in Fig.…”

Section: Classification Of Tools Based On Traditional and Smart Grid ...mentioning

confidence: 99%

“…Fig.1. Simulation software for the power generation, and their transmission and distribution systems arranged using the traditional grid architecture[167].…”

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confidence: 99%

Computational Tools for Modeling and Analysis of Power Generation and Transmission Systems of the Smart Grid

Mahmud

Sahoo

Fernandez

et al. 2020

IEEE Systems Journal

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The traditional power generation and distribution systems will be supplanted by the Internet of Energy, which accelerates the necessity to know the appropriate computation tools to perform any research in this future smart grid arena. However, there is a plethora of computational tools in this area, which challenges the researchers to find an appropriate tool based on their research objectives. Therefore, this article presents a comprehensive study about existing simulation tools related to electrical power generation, transmission, distribution, and associated systems. It provides an overview of more than 150 simulation software in these areas. The tools are classified and discussed based on both traditional and CEN-CENELEC-ETSI smart-grid reference architecture. Typical applications, sources, availability, and strengths of each tool are listed. Each tool has its own strengths and limitations to perform a certain task, and necessary information are provided to help researchers to find an appropriate computational tool for their specific research goal.

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Renewable Energy Integration for Dynamic Economic-Emission Load Dispatch: A Gams-Based Approach

Tamanna,

Moon,

Habib

et al. 2024

Preprint

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5.6 Energy Management Softwares and Tools

Cited by 3 publications

References 194 publications

Review of the Building Information Modelling (BIM) Implementation in the Context of Building Energy Assessment

Review of the Building Information Modelling (BIM) Implementation in the Context of Building Energy Assessment

Computational Tools for Modeling and Analysis of Power Generation and Transmission Systems of the Smart Grid

Renewable Energy Integration for Dynamic Economic-Emission Load Dispatch: A Gams-Based Approach

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