To combat air pollution and mitigate the release of carbon, two primary pathways have emerged: (1) decarbonizing electricity generation by integrating renewable energy into the electric grid, (2) electrifying various end uses including the adoption of zero-emission vehicles (ZEVs) such as plug-in electric vehicles (PEVs) and the transition to all-electric residence. However, the diurnal and intermittent nature of solar and wind power, coupled with the mismatch between the generation of renewable power and the consumption of electricity, necessitates large-scale energy storage to support a highly renewable electric grid. Bidirectional energy flow systems, including Vehicle-to-Load (V2L), Vehicle-to-Home (V2H), and Vehicle-to-Grid (V2G), present promising solutions by empowering PEVs to act as energy sources. Among these, discharging energy at a residence represents an immediate application and opportunity.To identify the benefits and technical barriers associated with implementing bidirectional energy flow systems in residential settings, this dissertation employed a combination of simulation-based research and experimental testing. A home energy management system cost-optimization model (HEMSopt) was developed to evaluate the potential of V2H technology in achieving zero net energy homes, reducing utility costs, and enhancing resilience during grid outages. Laboratory tests were conducted to examine the functionality of V2L from the perspective of PEV owners, aiming to provide insights and raise awareness of bidirectional applications. Furthermore, laboratory and field experiments were conducted to assess the efficiency and dynamics of prototype V2H systems, emphasizing the importance of compatibility testing and interoperability enhancements. Additionally, a comprehensive test procedure is proposed to evaluate bidirectional product performance and compatibility with other distributed energy resources such as PV and home battery systems, serving as a benchmark for future testing protocols. Overall, this dissertation contributes to advancing the theoretical understanding of bidirectional power flow technologies and provides practical insights for effective implementation in residential applications.
While energy storage systems (ESS) are required to integrate and manage renewable resources on the electric grid, ESS can result in life cycle environmental impacts associated with (1) the production of the system, (2) the use of the system, and (3) the end-of-life of the system. As more energy storage capacity is deployed, the grid benefits and associated life cycle environmental impacts may not scale the same. For example, thresholds of energy and power capacity may exist beyond which additional energy storage results in a negative environmental impact. To explore this question, this study addressed the use-phase environmental impacts of three flow-battery energy storage systems. Dynamic electric grid modeling tools were used to establish the use-phase environmental benefits and impacts on Global Warming Potential (GWP), Particulate Matter (PM) emissions, Acidification Potential (AP), and Fossil Fuel Cumulative Energy Demand (CED) as the aggregate ESS power and energy capacity installed on the electric grid is increased. For an electric grid with a high percentage of renewable resources, the results reveal that (1) the use-phase impact can be as, or more significant than, the production - phase depending on the grid composition, (2) the combined power and energy capacities for flow battery systems where the net environmental benefits are a maximum, and (3) that power and energy capacities must be limited to certain thresholds in order to ensure that flow-battery storage provides net environmental benefits.
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