| dc.description.abstract | A symbiosis of Renewable Energy Sources with an Alternative Energy Source is necessary to satisfy the ever-changing energy demands. Solar and wind energy are taken into consideration, yet the intermittency of both present problems when integrated into the electric grid. Different Storage systems such as: Lithium-Ion Battery, PSH, and CAES are considered for optimization for charge and discharge of energy as well as Dense Energy Carriers like Hydrogen to control the fluctuations of solar and wind, as well as to store and deliver the energy to the end-user. However, using Renewable Energy Sources to produce Dense Energy Carries can result in a very complicated process. Alternative Energy Sources helps solve the intermittency and hydrogen production problem by producing electricity and hydrogen on a consistent basis; Nuclear Energy aided by Natural Gas and Biomass. The end goal is to Satisfy the current and future energy demand in the Residential, Commercial, and Industrial Sectors of the State of Texas. The methodology to follow consists of analyzing the current data for the energy profiles in Texas in the three sectors. The data is going to be used to come up with a (MILP) mixed integer linear programming optimization method to best optimize the energy sources to meet the electric demand in the 3 sectors in Texas while minimizing costs, CO2 emissions, and water consumption. By the end of this research it is expected to determine costs, water usage, CO2 emission, and energy sources to utilize in the system as well as being able to satisfy the demand in the Residential, Commercial, and Industrial sectors in Texas. | en |
