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Water-Energy Nexus Using Integrated Modeling Approach for Water Use by Power Sector in Etowah River Basi

Posted on:2019-10-08Degree:M.SType:Thesis
University:North Carolina Agricultural and Technical State UniversityCandidate:Kelemework, Amha TesfayeFull Text:PDF
GTID:2472390017993353Subject:Water resources management
Abstract/Summary:
The need for energy and fresh water is continuously increasing. Water extraction, treatment, and delivery require energy input. Likewise, energy generation needs water input. Understanding this water-energy nexus plays a significant role in planning the ever-increasing demands for energy and freshwater. A study was conducted in Etowah River Basin, Northern Georgia, to understand the current water-energy nexus and provide insight for planning future water -- energy distribution. The study uses an integrated modeling approach; Soil and Water Assessment Tool (SWAT) for hydrology modeling, Water Evaluation and Planning (WEAP) model for water resources planning and management, and Long-range Energy Alternatives Planning (LEAP) for energy planning. The SWAT model was calibrated for hydrology and streamflow at two locations. Calibrated SWAT model was used in integrated water and energy systems modeling framework (WEAP-LEAP). The results from the analysis of linked WEAP-LEAP model shows Bowen coal-fired power plant can generate electricity that can potentially serve 50% (17,107 GWH) of the annual average demand in the region. This generation can increase the annual water withdrawal in the region by 81% (623,149,558 m3 increment). Based on the future projected population data, the annual average electricity demand over the period 2021-2030 may increase by 44% (14,886 GWH increment) from the baseline (2007-2016). If the coal-fired power plant and Allatoona hydropower were to operate on a new power generation pattern for the period 2021-2030, the combined generation could potentially serve about 47% (24,550 GWH) of the annual average demand.
Keywords/Search Tags:Water, Energy, Annual average, Modeling, GWH, Power, Integrated, Generation
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