Renewables are clean but intermittent resources, whereas
nonrenewables
are cheaper and reliable but polluting resources. Optimally combining
renewablessolar PV modules, wind turbines, and fuel cellswith
traditional nonrenewablescoal and power from the grid―in
a renewables-integrated energy system (RIES) can provide sustainable
power for meeting the growing energy needs. However, such RIES optimization
is a complex problem owing to the presence of multiple objectives,
dynamic variations in load, and intermittency of renewables. Therefore,
we propose a novel sustainability framework that optimizes the combination
of different resources in RIES to obtain the best trade-off between
cost of electricity, cost to society accounted for mortalities from
emissions, and cost to ecosystems accounted for land use, water use,
and CO2 emissions. The optimized RIES satisfying hourly
load profile at three differentially populated locations in India
show that the electricity cost can be reduced while reducing harm
to society and to ecosystems. Our optimized designs show about 111%
reduction in mortalities compared to the base case. Further, we find
that the benefits of optimized RIES in terms of reducing greenhouse
gas emissions and reducing human mortality are highest in densely
populated regions, which coincidentally suffer from worse air quality.