![]() ![]() FD-3: Optimal Design Methodology Optimal design methodologies for individual DER installations that enable utilities to determine the optimal combinations and sizing for individual DER sites. FD-2: Software Platform Product Description The creation of new DER control methodologies deployable within a utility-grade software platform that enable DER's to maximize their benefit within a grid, that is capable of serving load enabling a high penetration of distributed PV generation. Research was categorized in 6 reports (Final Deliverables = FD) listed below, with titles and descriptions indicating which area of understanding was investigated: FD-1: System Levelized Cost of Electricity (System LCOE) Methodology The creation and use of the System LCOE to Serve Load metric that encompasses the holistic, system-level costs and benefits of all resources, and enables them to be evaluated based on their ability to support an efficient and low-cost integrated grid ecosystem. Department of Energy SHINES program metric of $$0.14/kWh, in a defined boundary, while enabling a high penetration of distributed PV. Last, more » Austin SHINES aimed to demonstrate the solution’s methodology would enable the DER grid ecosystem to serve load at a technical cost (System Levelized Cost of Electricity, or System LCOE) of less than the U.S. The project also produced a methodology to create a replicable DERMS template, adaptable to other regions and market structures. This project developed and deployed the platform as a Distributed Energy Resource Management System (DERMS), engaging multiple advanced controls, to evaluate operation and optimization of a fleet of diverse DER assets, installed at several locations among Austin Energy’s customers and distribution system. ![]() The Austin SHINES project and solution is a software management platform, for an electric grid with a high penetration of dispersed photovoltaic (PV) solar generation sites, which maintains the traditional power quality and reliability associated with grid service. Solar Energy Technologies Office Contributing Org.: Austin Energy OSTI Identifier: 1721368 Report Number(s): DOE-COA-0007177-AM3 DOE Contract Number: EE0007177 Resource Type: Conference Journal Name: ASME Additional Journal Information: Journal Volume: 6 Conference: Proceedings of the ASME 2019 International Mechanical Engineering Congress and Exposition, Salt Lake City, UT (United States), 8- Related Information: The DOE partially or completely funded the research reflected in the article or accepted manuscript, and relates to the OSTI ID:1661670 Country of Publication: United States Language: English Subject: 14 SOLAR ENERGY 25 ENERGY STORAGE 29 ENERGY PLANNING, POLICY, AND ECONOMY 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION Solar energy Storage Public utilities Decision making Distributed power generation Nonprofit organizations = , Publication Date: Research Org.: City of Austin, TX (United States) Sponsoring Org.: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. As the capital costs for DERs decline, utilities incentivize customer ownership of DERs, and more residential customers face the decision of whether to invest in DERs, this study aims to be a key tool in aiding that decision-making process. Results show that for constant electricity rates, the overall expenditure is least when the customer owns solar panels without storage, while for time-varying pricing structures, the least expensive scenario is one where the customer does not own any DERs. (a non-profit entity based on Austin, Texas), residential rates from Austin Energy (the municipal electric utility in Austin, Texas), DER ownership costs from various nationwide pilot programs, and incentives offered by electric utilities in the United States. Here, the tool is demonstrated using empirical electricity consumption data from Pecan Street Inc. This study builds a decision support tool to evaluate when it is a good economic decision (least cost with minimum discomfort) for the residential customer to invest in distributed energy resources (DERs) based on different electricity rate structures, DER ownership frameworks, and DER rebates offered by electric utilities.
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