Published July 2018 | Version v1
Journal article

Computational tools for design, analysis, and management of residential energy systems

  • 1. School of Electrical Engineering and Telecommunications, University of New South Wales, NSW 2052 (Australia)
  • 2. School of Engineering, Macquarie University, NSW 2109 (Australia)

Description

Highlights: • This paper thoroughly reviews computational tools for design, analysis, and management of residential energy systems. • The tools are analyzed based on the conventional and CEN-CENELEC-ETSI Smart Grid Reference Architecture. • Tools' availability, sources, typical applications, strengths, and limitations are discussed in detail. • Necessary information is provided to help researchers to choose the right tools to meet specific objectives. 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.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.apenergy.2018.03.111

Additional details

Identifiers

DOI
10.1016/j.apenergy.2018.03.111;
PII
S0306261918304495;

Publishing Information

Journal Title
Applied Energy
Journal Volume
221
Journal Page Range
p. 535-556
ISSN
0306-2619
CODEN
APENDX

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52114477
Subject category
S24: POWER TRANSMISSION AND DISTRIBUTION;
Descriptors DEI
AVAILABILITY; COMPUTER CODES; COMPUTERIZED SIMULATION; ENERGY MANAGEMENT SYSTEMS; OPTIMIZATION; RESIDENTIAL SECTOR; REVIEWS; SMART GRIDS; SYSTEMS ANALYSIS
Descriptors DEC
CONTROL SYSTEMS; DOCUMENT TYPES; ENERGY SYSTEMS; POWER SYSTEMS; SIMULATION

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.