Review Article

A Review of Predictive Software for the Design of Community Microgrids

Table 1

Summary table of the conducted software survey.

ā€‰SoftwareInputOutput typeFunctional purposeTarget user

Superstructure
(buildings in communities)
CitySimSite location
Climate data
Building geometry
Building type
Building age
Energy supply and storage systems
Graphs
Bars
Tables
Simulation/predictionArchitects
Urban designers
SUNtoolSite location
Climate data
Building geometry
Building type
Building age
Selection of renewable energy and water processing technologies
Occupancy schedule
XML documents
3D false color plots
2D graphs
Simulation/prediction
Optimization
Architects
Urban designers
UMIBuilding geometry
Massing models (building envelopes, trees, shading objects, other infrastructure, and streets)
Building material
Occupancy schedule
Building construction types
3D visualizations
Graphs
Charts
Simulation/predictionArchitects
Urban designers

Infrastructure
(electrical installation)
DER-CAMLoad profiles
Electricity price data
Operating costs
Maintenance costs
Fuel cost
Physical characteristics of alternative generating, heat recovery, and cooling technologies
parameters
Emission constraints
Sensitivity parameters
XML and HTML documents
Reports
Graphs
Evaluation/analysis
Optimization
Engineers
HOMERLoad profile
Energy input resources type and details
Electrical components type and details
Emission constraints
Operating costs
Maintenance costs
Sensitivity parameters
XML and HTML documents
Reports
Graphs
Simulation/prediction
Evaluation/analysis
Optimization
Engineers
LEAPLoad profile
Energy input resources type and details
Electrical components type and details
Operating costs
Maintenance costs
Interest rate
Population growth rate Emission constraints
ReportEvaluation/analysisEngineers
EAMLoad profile
Representative values of equipment performance Equipment initial cost
Utility price
Tables
Graphs
Charts
Evaluation/analysisEngineers
MARKAL/TIMESLoad profile
Renewable energy input resources type and details
Energy station capacities, costs
Tables
Graphs
Charts
Evaluation/analysisEngineers
RETScreenSite location
Load profile
Energy input resources type and details
Electrical components type and details
Energy system costs
Financial parameters such as GHG emission reduction credits, incentives, inflation, discount rate, debt, and taxes
Tables
Graphs
Charts
Evaluation/analysisEngineers
PV-Design ProClimate data
Load data (weekday and weekend, AC and DC),
PV modeling (number of panels, electrical characteristics)
Electrical modeling
Reports
Graphs
Charts
Evaluation/analysisEngineers
PVSOLClimate data
Buildings geometry
PV modeling
Modeling and circuit design of the grid with all its electrical components
3D visualization
Reports
Graphs
Charts
Simulation/prediction
Optimization
Engineers