Computational tools for design, analysis, and management of residential energy systems
Selecting an appropriate software tool for a particular energy-management system is a challenging task as there is little information available and several software tools to pick from. Each tool has its own strengths and limitations, and making a right choice is critical for accurate and feasible an...
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Published: |
Elsevier
2018
|
| Online Access: | http://hdl.handle.net/20.500.11937/81249 |
| _version_ | 1848764340472119296 |
|---|---|
| author | Amin, Uzma Mahmood, Khizir Hossain, M. J. Ravishankara, J. |
| author_facet | Amin, Uzma Mahmood, Khizir Hossain, M. J. Ravishankara, J. |
| author_sort | Amin, Uzma |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Selecting an appropriate software tool for a particular energy-management system is a challenging task as there is little information available and several software tools to pick from. Each tool has its own strengths and limitations, and making a right choice is critical for accurate and feasible analyses. This paper reviews more than one hundred simulation software packages that are useful for residential-energy-management system analysis. The tools are analyzed based on the conventional and CEN-CENELEC-ETSI Smart Grid Reference Architecture. Additionally, tools’ availability, sources, typical applications, strengths, and limitations are discussed. A case study on residential energy management and optimization is carried out to show the strengths and limitations of a certain computational tool. It is observed that none of the tools cover all the applications of residential energy systems, however necessary information is provided to help researchers to choose the right tools to meet specific objectives. |
| first_indexed | 2025-11-14T11:17:48Z |
| format | Journal Article |
| id | curtin-20.500.11937-81249 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:17:48Z |
| publishDate | 2018 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-812492021-05-05T01:53:29Z Computational tools for design, analysis, and management of residential energy systems Amin, Uzma Mahmood, Khizir Hossain, M. J. Ravishankara, J. Selecting an appropriate software tool for a particular energy-management system is a challenging task as there is little information available and several software tools to pick from. Each tool has its own strengths and limitations, and making a right choice is critical for accurate and feasible analyses. This paper reviews more than one hundred simulation software packages that are useful for residential-energy-management system analysis. The tools are analyzed based on the conventional and CEN-CENELEC-ETSI Smart Grid Reference Architecture. Additionally, tools’ availability, sources, typical applications, strengths, and limitations are discussed. A case study on residential energy management and optimization is carried out to show the strengths and limitations of a certain computational tool. It is observed that none of the tools cover all the applications of residential energy systems, however necessary information is provided to help researchers to choose the right tools to meet specific objectives. 2018 Journal Article http://hdl.handle.net/20.500.11937/81249 10.1016/j.apenergy.2018.03.111 Elsevier restricted |
| spellingShingle | Amin, Uzma Mahmood, Khizir Hossain, M. J. Ravishankara, J. Computational tools for design, analysis, and management of residential energy systems |
| title | Computational tools for design, analysis, and management of residential energy systems |
| title_full | Computational tools for design, analysis, and management of residential energy systems |
| title_fullStr | Computational tools for design, analysis, and management of residential energy systems |
| title_full_unstemmed | Computational tools for design, analysis, and management of residential energy systems |
| title_short | Computational tools for design, analysis, and management of residential energy systems |
| title_sort | computational tools for design, analysis, and management of residential energy systems |
| url | http://hdl.handle.net/20.500.11937/81249 |