More contributions are required in the area of multi-objective
optimization methodology for building energy supply systems as
recommended by many researchers [10]. Few studies can be found
that applied a multi-objective optimization methodology in
designing building energy supply systems. Hassoun et al. [14]
performed a simulations to identify best possible power design
options for a ZEB located in Lebanon. They compared different
power configurations to provide all electrical load with least NPC,
maximum renewable energy fraction, and least greenhouse gases
emissions. Their results proposed a combination of PV, a wind
turbine, batteries, a convertor and diesel generator as the optimum
renewable energy system for the total load of 90 kWh/day.
Furthermore, an exergy analysis was carried out to explore the
impact of using a PV/thermal system to heat the water instead of
using a PV stand alone system. Fux et al. [15] developed a simulation
tool to compare different configurations of a stand-alone
building energy system for determining the best sizes of the
employed components