
The government announced its CO2 reduction target for 2020. The target represents a 30% reduction from the estimated level of 2020. This goal is deemed very challenging since Korean industry had doubled its greenhouse gas emissions between 1990 and 2005, the fastest growth in the OECD. Korea has voluntarily set its 2020 emission reduction target. With this pledge, Seoul seeks to be a model for other countries including China and India who are catego. [pdf]

The relationship between the smart grid and renewable energy revolves around gathering data. For example, wind farms use mechanical gears that require each link to support multiple sensors. Each sensor is able to note current climate and environmental conditions. This information is then quickly sent though. . As smart grid technology becomes more promising, both local and federal governments are exploring potential grid improvements. Thailand. . One of the biggest frontiers in electrical engineering today is the development and implementation of smart grid technology. Fueled by the global. . In 2009, the US smart grid industry was valued at about $21.4 billion – by 2014, it will exceed at least $42.8 billion. Given the success of the smart grids in the U.S., the world market is expected to grow at a faster rate, surging from $69.3 billion in 2009 to $171.4 billion by 2014. With the segments set to benefit the most will be smart metering hardware sellers and makers of software used to transmit and organize the massive amount of data collected by meters. [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.
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