  Integration of various electricity-generating technologies (such as natural
gas, wind, nuclear, etc.) with storage systems (such as thermal, battery
electric, hydrogen, etc.) has the potential to improve the economic
competitiveness of modern energy systems. Driven by the need to efficiently
assess the economic feasibility of various energy system configurations in
early system concept development, this work outlines a versatile computational
framework for assessing the net present value of various integrated storage
technologies. The subsystems' fundamental dynamics are defined, with a
particular emphasis on balancing critical physical and economic domains to
enable optimal decision-making in the context of capacity and dispatch
optimization. In its presented form, the framework formulates a linear, convex
optimization problem that can be efficiently solved using a direct
transcription approach in the open-source software DTQP. Three case studies
demonstrate and validate the framework's capabilities, highlighting its value
and computational efficiency in facilitating the economic assessment of various
energy system configurations. In particular, natural gas with thermal storage
and carbon capture, wind energy with battery storage, and nuclear with hydrogen
are demonstrated.
