
Global demand for Li-ion batteries is expected to soar over the next decade, with the number of GWh required increasing from about 700 GWh in 2022 to around 4.7 TWh by 2030 (Exhibit 1). Batteries for mobility applications, such as electric vehicles (EVs), will account for the vast bulk of demand in 2030—about 4,300 GWh; an. . The global battery value chain, like others within industrial manufacturing, faces significant environmental, social, and governance (ESG) challenges (Exhibit 3). Together with Gba. . Some recent advances in battery technologies include increased cell energy density, new active material chemistries such as solid-state batteries, and cell and packaging production. . Battery manufacturers may find new opportunities in recycling as the market matures. Companies could create a closed-loop, domestic supply chain that involves the collection,. . The 2030 Outlook for the battery value chain depends on three interdependent elements (Exhibit 12): 1. Supply-chain resilience. A resilient battery value chain is one that is regionalized and diversified. We envision that each. [pdf]

MASCORE is a Web-based tool for microgrid asset sizing considering cost and resilience developed by PNNL . The tool allows users to select, size, and operate DERs that optimize the economic performance and enhance the resilience of their microgrid systems. The tool models various DER technologies (e.g., PV,. . The Microgrid Design Toolkit (MDT), developed by SNL, is a decision support software tool for microgrid design . The tool uses search. . DER-CAM is a decision support tool, developed by Lawrence Berkeley National Laboratory (LBNL), to find the optimal investments on new DERs for buildings or microgrids . DER-CAM’s. . REopt is a software tool, developed by NREL, to optimize the integration and operation of energy systems for buildings, campuses, communities, and microgrids . REopt capability is based upon an optimization that is. These tools can be classified into two groups: (1) power system simulation and planning tools for analyzing the technical contributions of ESSs, and (2) techno-economic analysis tools for valuating. [pdf]
Taking advantages of the knowledge established in the academic literature and the expertise from the field, there are efforts from multiple parties (e.g., national laboratories, utilities, and system integrators) in developing software tools that can be used for valuing energy storage.
The tools below are used globally for energy storage analysis and development. System Advisory Model (SAM) SAM is a techno-economic computer model that calculates performance and financial metrics of renewable energy projects, including performance models for photovoltaic (PV) with optional electric battery storage.
These tools can be classified into two groups: (1) power system simulation and planning tools for analyzing the technical contributions of ESSs, and (2) techno-economic analysis tools for valuating the economic benefits of ESS deployment and specifying the optimal design of energy systems that include ESSs.
To address this, numerous software tools for energy system planning have been developed. Despite many scientific reviews on these tools’ characteristics, none comprehensively assess their suitability for different planning phases and tasks in urban energy or district heating planning.
Therefore, software tools for techno-economic analyses of ESSs can also be categorized as valuation tools and design tools. Even though these tools have different features, they are often based on the optimization frameworks that find the decision variables to maximize or minimize an objective function given certain constraints.
For energy storage applications focused on improving the dynamic performance of the grid, an electromechanical dynamic simulation tool is required to properly size and locate the energy storage so that it meets the desired technical performance specifications.

MASCORE is a Web-based tool for microgrid asset sizing considering cost and resilience developed by PNNL . The tool allows users to select, size, and operate DERs that optimize the economic performance and enhance the resilience of their microgrid systems. The tool models various DER technologies (e.g., PV,. . The Microgrid Design Toolkit (MDT), developed by SNL, is a decision support software tool for microgrid design . The tool uses search algorithms such as genetic algorithms to find and evaluate different microgrid designs. . DER-CAM is a decision support tool, developed by Lawrence Berkeley National Laboratory (LBNL), to find the optimal investments on new DERs for buildings or microgrids . DER-CAM’s users can set up an analysis as single. . REopt is a software tool, developed by NREL, to optimize the integration and operation of energy systems for buildings, campuses, communities,. [pdf]
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