TY - JOUR
T1 - Computational tools for design, analysis, and management of residential energy systems
AU - Mahmud, Khizir
AU - Amin, Uzma
AU - Hossain, M. J.
AU - Ravishankar, Jayashri
PY - 2018/7/1
Y1 - 2018/7/1
N2 - 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.
AB - 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.
KW - Building energy management
KW - Computational tools
KW - Domestic energy management software
KW - Residential energy management tools
KW - Residential energy modeling
KW - Simulation software
UR - http://www.scopus.com/inward/record.url?scp=85045117026&partnerID=8YFLogxK
U2 - 10.1016/j.apenergy.2018.03.111
DO - 10.1016/j.apenergy.2018.03.111
M3 - Review article
AN - SCOPUS:85045117026
SN - 0306-2619
VL - 221
SP - 535
EP - 556
JO - Applied Energy
JF - Applied Energy
ER -