{"query_echo":{"q":"","filters":{"analysis_type":["software guide"]},"warnings":[]},"total":{"value":11,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=software+guide","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"sei-000014","url":"https://climateinsightsdirectory.org/document/sei-000014","title":"Environmental Loadings Factors Screen","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://leap.sei.org/help24/TED/Environmental_Loadings_Screen.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The Environmental Loadings Factors screen allows users to define environmental impacts for technologies as either numeric values or expressions. It provides tools for selecting numerator and denominator units, converting between different unit sets based on technology efficiency or transportation service, and calculating final controlled loading factors when pollution controls are applied.","ai_generated":true,"unit":"sei-000014#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Environmental loading factors, typically emission factors such as kg of pollutant per GJ of energy, can be entered as numeric values or as expressions created via the Expression Builder tool that depend on fuel chemical composition.","ai_generated":true,"unit":"sei-000014#insight-1","date_modified":"2026-10-23"},{"text":"The system supports unit conversion for loading factors; for energy supply technologies, this requires specifying the technology's efficiency to convert between loadings per unit of energy consumed and those per unit of energy produced.","ai_generated":true,"unit":"sei-000014#insight-2","date_modified":"2026-10-23"},{"text":"When pollution controls are associated with a technology on the Environment tab, the screen calculates and displays the level of emission abatement and the resulting final controlled loading factor.","ai_generated":true,"unit":"sei-000014#insight-3","date_modified":"2026-10-23"}],"climate_tags":["environmental impact assessment"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["software guide"]},{"id":"sei-000036","url":"https://climateinsightsdirectory.org/document/sei-000036","title":"TED Expression Builder","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://leap.sei.org/Help24/TED/TED_Exp_Builder.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","analysis_type"],"summary":{"text":"The TED Expression Builder is a tool for editing environmental loadings expressions through a dual-pane interface. It allows users to incorporate variables (such as carbon, sulfur, energy, and ash content) and molecular weight constants via drag-and-drop or double-clicking. The tool includes a direct-entry editing box, quick-access mathematical operators, standard editing functions (Cut, Copy, Paste), and a verification feature to ensure expression validity.","ai_generated":true,"unit":"sei-000036#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Expression Builder tool facilitates the editing of environmental loadings expressions by providing a list of available variables—including carbon, sulfur, energy, and ash content—and molecular weight constants that can be added to an expression via dragging-and-dropping or double-clicking.","ai_generated":true,"unit":"sei-000036#insight-1","date_modified":"2026-10-23"},{"text":"The tool's interface consists of two resizable panes featuring an editing box for direct typing, a set of buttons for common mathematical operators, and a toolbar for editing options like Cut, Copy, and Paste.","ai_generated":true,"unit":"sei-000036#insight-2","date_modified":"2026-10-23"},{"text":"Users can validate their constructed expressions using a Verify button before saving the changes back to the environmental effect data screen.","ai_generated":true,"unit":"sei-000036#insight-3","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":[],"frame_perspective":[],"analysis_type":["software guide"]},{"id":"sei-000063","url":"https://climateinsightsdirectory.org/document/sei-000063","title":"Analysis View","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://leap.sei.org/help24/Views/Data_View.htm?agt=index","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The Analysis View in LEAP allows users to build the structural framework of their energy model through a tree organized by categories such as Demand, Transformation, and Resources. Users enter data and modeling relationships using mathematical expressions in data entry tables, which support color-coding to distinguish between explicitly entered and inherited values. The view includes tools for scenario management, unit conversion, and expression validation, alongside a bottom pane for visualizing data via charts and tables, documenting references in a Notes tab, and constructing complex formulas in an Expression Builder.","ai_generated":true,"unit":"sei-000063#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Analysis View is the primary interface for creating data structures, which are organized into a tree with major categories including Key Assumptions, Effects, Demand, Transformation, Resources, Non-Energy Sectors, and Indicators.","ai_generated":true,"unit":"sei-000063#insight-1","date_modified":"2026-10-23"},{"text":"Data is entered using mathematical expressions that define both historical 'Current Accounts' values and future scenario values; these expressions can range from simple numbers to complex formulae.","ai_generated":true,"unit":"sei-000063#insight-2","date_modified":"2026-10-23"},{"text":"LEAP uses a color-coding system for expressions to indicate their source: purple for explicit entries in the current scenario, black for values inherited from another scenario or region, and green for values inherited from another region in multi-region data sets.","ai_generated":true,"unit":"sei-000063#insight-3","date_modified":"2026-10-23"},{"text":"The software includes a 'Check as You Type' validation feature that identifies expression errors in real-time by displaying them as red italicized text and providing an error message.","ai_generated":true,"unit":"sei-000063#insight-4","date_modified":"2026-10-23"},{"text":"The Analysis View provides flexible unit management, allowing users to enter data in various standard units for power, energy, mass, volume, and money, and it performs automatic unit conversion for reporting results.","ai_generated":true,"unit":"sei-000063#insight-5","date_modified":"2026-10-23"},{"text":"The interface features a bottom pane with specialized tabs: a chart/table view for data examination, a Notes screen for documentation linked to a References database, an Expression Builder for complex formulas, and an Expression Elaboration tab to track variable dependencies.","ai_generated":true,"unit":"sei-000063#insight-6","date_modified":"2026-10-23"}],"climate_tags":["energy modeling"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["software guide"]},{"id":"sei-000129","url":"https://climateinsightsdirectory.org/document/sei-000129","title":"Effects","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://leap.sei.org/help24/Supporting_Screens/Effects_Screen.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The Effects screen in LEAP allows users to view, edit, and add data for 258 default environmental effects, including greenhouse gases and local air pollutants. The software integrates GWP values from IPCC Assessment Reports (AR1 through AR6), enabling users to calculate emissions in physical tonnes or CO2 equivalents. While the main system focuses on effects directly associated with energy use, the Impact Benefits Calculator (IBC) module can be used for indirect health and air quality impacts at a national scale.","ai_generated":true,"unit":"sei-000129#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"LEAP provides a default dataset of 258 environmental effects, which includes all gases listed in the IPCC Fifth Assessment Report (AR5 2013). These effects are categorized into major greenhouse gases (GHGs), local air pollutants, and other impacts such as solid waste, land degradation, and various chemical groups like hydrofluorocarbons and halons.","ai_generated":true,"unit":"sei-000129#insight-1","date_modified":"2026-10-23"},{"text":"The software's primary calculations are limited to environmental effects directly linked to energy use, although the Impact Benefits Calculator (IBC) module can assess indirect health impacts and air pollution concentrations for national-scale models.","ai_generated":true,"unit":"sei-000129#insight-2","date_modified":"2026-10-23"},{"text":"Users can apply GWP values from IPCC Assessment Reports AR1 through AR6. For AR5, users can choose between values that include or exclude climate carbon feedbacks. These GWP values, measured in tonnes of CO2 equivalent per tonne of pollutant (T CO2e/T), can be manually edited or overridden within specific scenarios for sensitivity calculations.","ai_generated":true,"unit":"sei-000129#insight-3","date_modified":"2026-10-23"},{"text":"For AR5 and AR6, the Effects screen provides additional climate metrics for informational purposes, including Absolute Global Warming Potential (AGWP), Global Temperature Potential (GTP), Absolute Global Temperature Potential (AGTP), radiative efficiency, and effect lifetime. However, these metrics are not used in LEAP's active calculations, which only output results in physical tonnes or overall GWP.","ai_generated":true,"unit":"sei-000129#insight-4","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas","global warming potential","air quality","environmental impact assessment","hydrofluorocarbon"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["software guide"]},{"id":"sei-000131","url":"https://climateinsightsdirectory.org/document/sei-000131","title":"Cost-Benefit Reports","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://leap.sei.org/help24/Views/Cost_Summary_Report.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document describes the functionality of the cost-benefit summary report in LEAP, which provides a tabular and chart-based overview of cumulative discounted costs and benefits across demand sectors and transformation modules. It details how the tool calculates net present values, handles environmental externality costs, and reports avoided greenhouse gas emissions in tonnes of CO2 equivalent based on IPCC global warming potential factors.","ai_generated":true,"unit":"sei-000131#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The cost-benefit summary report provides a comparative overview of incremental cumulative costs for calculated scenarios relative to a chosen reference scenario, typically a policy-neutral baseline. Costs are discounted to the base year using a user-specified discount rate.","ai_generated":true,"unit":"sei-000131#insight-1","date_modified":"2026-10-23"},{"text":"The report aggregates costs and benefits from demand sectors, transformation modules, and the production, import, and export of fuels and resources. It can optionally include environmental externality costs if enabled in the settings.","ai_generated":true,"unit":"sei-000131#insight-2","date_modified":"2026-10-23"},{"text":"Costs are only recorded when there are both physical differences between scenarios and corresponding unit costs entered in the data tables; otherwise, scenarios may differ physically without showing cost differences.","ai_generated":true,"unit":"sei-000131#insight-3","date_modified":"2026-10-23"},{"text":"The tool calculates total cumulative avoided greenhouse gas emissions in tonnes of CO2 equivalent, utilizing 100-year integration global warming potential factors from the IPCC by default.","ai_generated":true,"unit":"sei-000131#insight-4","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","global warming potential"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["software guide"]},{"id":"sei-000269","url":"https://climateinsightsdirectory.org/document/sei-000269","title":"Results View","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://cdn.leap.sei.org/Help24/Views/Results_Screen.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The Results View in LEAP allows users to analyze model outputs using four primary tabs: Chart, Table, Split, and Diagnostics. Users can customize reports by selecting result types (e.g., Energy Demand, Social Costs), dimensions (years, branches, fuels, scenarios), and scaling factors. Advanced features include the use of tags as reporting dimensions, composite dimensions for side-by-side comparisons, and multi-level reports for disaggregated branch analysis. The tool provides extensive formatting options for charts and tables, the ability to save 'Favorite Charts' for quick access, and an auto-refresh toggle for managing large datasets.","ai_generated":true,"unit":"sei-000269#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Results View provides four distinct viewing modes: 'Chart' for visual representations including maps, 'Table' for tabular data, 'Split' for simultaneous chart and table display, and 'Diagnostics' for warnings and informational messages regarding calculations.","ai_generated":true,"unit":"sei-000269#insight-1","date_modified":"2026-10-23"},{"text":"Users can customize result reports by selecting specific result categories, such as Energy Demand or One Hundred Year Global Warming Potential, and defining dimensions for the X-axis and legend, including years, branches, fuels, and scenarios.","ai_generated":true,"unit":"sei-000269#insight-2","date_modified":"2026-10-23"},{"text":"LEAP supports 'composite dimensions' which combine two dimensions on the X-axis to create side-by-side charts. Available combinations include Scenarios & Time Slices, Scenarios & Branches, Scenarios & Fuels, Scenarios & Regions, Years & Time Slices, Years & Scenarios, Years & Branches, Year & Regions, Years & Fuels, Years & Effects, and Regions & Time Slices.","ai_generated":true,"unit":"sei-000269#insight-3","date_modified":"2026-10-23"},{"text":"The software allows for multi-level reporting of branches with a maximum depth of seven levels. Users can group branches with the same name using the 'Match Names' feature to aggregate data across different categories, such as urban and rural households.","ai_generated":true,"unit":"sei-000269#insight-4","date_modified":"2026-10-23"},{"text":"Tags can be used as an additional reporting dimension if they are assigned to a tag group and the 'Use For Results' option is enabled. To avoid double-counting, each branch must only have one tag from each tag group.","ai_generated":true,"unit":"sei-000269#insight-5","date_modified":"2026-10-23"},{"text":"Table reports can be enhanced with a 'heat map' button to highlight extreme values and a 'Table Statistics' button to include metrics such as growth rates, mean, median, standard deviation, and variance.","ai_generated":true,"unit":"sei-000269#insight-6","date_modified":"2026-10-23"}],"climate_tags":["energy demand","global warming potential","carbon dioxide emissions"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["software guide"]},{"id":"sei-000312","url":"https://climateinsightsdirectory.org/document/sei-000312","title":"The Scenario Explorer","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://leap.sei.org/Help24/Views/Scenario_Explorer.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The Scenario Explorer is a tool in the LEAP software that allows users to adjust 'Key Parameters' via slider bars to see immediate impacts on scenario results. It supports the creation, locking, and filtering of scenarios, and enables the interactive toggling of 'mini-scenarios' through a multiple inheritance feature to build complex climate mitigation scenarios.","ai_generated":true,"unit":"sei-000312#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Scenario Explorer allows users to interactively modify Key Parameters using slider bars, which are linked to specific branches, variables, and regions in a LEAP data set. When the Auto Refresh feature is enabled, LEAP automatically recalculates affected scenarios immediately upon adjustment.","ai_generated":true,"unit":"sei-000312#insight-1","date_modified":"2026-10-23"},{"text":"Users can manage scenarios directly within the Overviews view by right-clicking scenario names to create new scenarios based on existing ones, show or hide scenarios, or lock scenarios to prevent accidental changes to their Key Parameter values.","ai_generated":true,"unit":"sei-000312#insight-2","date_modified":"2026-10-23"},{"text":"The tool includes a Tags filter in the main toolbar that enables users to display a filtered subset of key parameters based on the presence of one or more specified tags using 'and' or 'or' logic.","ai_generated":true,"unit":"sei-000312#insight-3","date_modified":"2026-10-23"},{"text":"LEAP's multiple inheritance feature allows for the creation of complex scenarios by combining several 'mini-scenarios' (such as those focusing on building insulation or renewable energy). The Scenario Explorer's Additional Scenarios column allows users to interactively switch these components on or off.","ai_generated":true,"unit":"sei-000312#insight-4","date_modified":"2026-10-23"}],"climate_tags":["climate change mitigation","renewable energy","energy efficiency"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["software guide"]},{"id":"sei-000516","url":"https://climateinsightsdirectory.org/document/sei-000516","title":"Basic Parameters Screen","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://leap.sei.org/help24/Supporting_Screens/Basic_Parameters_Screen.htm#Loads","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document provides a detailed technical walkthrough of the Settings menu in LEAP, covering the Scope & Scale, Years, Calculations, Costs, Optimization, IBC, Internet, Mapping, Folders, and Scripts tabs. It explains how users can enable specific analysis modules—such as energy demand, transformation, and environmental effects—and configure critical parameters like base years, discount rates, and optimization solvers. The guide also details the integration of the Impact Benefit Calculator (IBC) for health and climate impact modeling and the use of GIS shape files for geographical mapping of results.","ai_generated":true,"unit":"sei-000516#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Scope & Scale tab allows users to enable or disable various analysis modules, including energy demand, transformation and resources, land-use change, costs, and energy/non-energy effects. Specific optional analyses include 'Affordability Analysis' for low-income or rural households and 'Calculate Useful Energy for All Demands' for Sankey Diagrams.","ai_generated":true,"unit":"sei-000516#insight-1","date_modified":"2026-10-23"},{"text":"LEAP's temporal settings include the Base Year (first year of data), End Year (final year calculated), and First Scenario Year. The 'First Depletion Year' is used to track when resource reserves are depleted by primary fuel consumption.","ai_generated":true,"unit":"sei-000516#insight-2","date_modified":"2026-10-23"},{"text":"The Costs tab enables social cost-benefit analysis with two boundary options: 'Full system costing', which covers the entire area, and 'Restricted costing boundary', which limits costs to a specific module to avoid difficulties in capturing upstream costs like coal mining or oil refining.","ai_generated":true,"unit":"sei-000516#insight-3","date_modified":"2026-10-23"},{"text":"Optimization settings allow for the inclusion of emission constraints and the selection of solvers. Supported solvers include GLPK, Cbc, HIGHS, CPLEX, GUROBI, MOSEK, and XPress.","ai_generated":true,"unit":"sei-000516#insight-4","date_modified":"2026-10-23"},{"text":"The Impact Benefit Calculator (IBC) module calculates health impacts, such as premature mortality from indoor and ambient air pollution, and crop damage from ozone. It can utilize relative risk functions from the Global Burden of Disease (2010, 2015, and 2019) and integrate ECLIPSE scenarios from IIASA for 'Rest of World Emissions'.","ai_generated":true,"unit":"sei-000516#insight-5","date_modified":"2026-10-23"},{"text":"Geographical mapping is supported through the use of standard GIS shape files. The 64-bit version of LEAP can create and display maps with up to 300 x 300 cells, while the 32-bit version is limited to 50 by 50 cells.","ai_generated":true,"unit":"sei-000516#insight-6","date_modified":"2026-10-23"}],"climate_tags":["extractive industry","land-use change","greenhouse gas","climate finance","household air pollution","effects of climate change on human health"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["software guide"]},{"id":"sei-000572","url":"https://climateinsightsdirectory.org/document/sei-000572","title":"TED: Technology and Environmental Database","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://leap.sei.org/Help24/TED/TED_Intro.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","analysis_type"],"summary":{"text":"The Technology and Environmental Database (TED) is an open, publicly accessible resource integrated into LEAP that provides quantitative data on approximately one thousand energy technologies. It aggregates information from global and regional institutions to assist analysts, particularly those in developing countries, in calculating environmental loadings for energy scenarios.","ai_generated":true,"unit":"sei-000572#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"TED provides quantitative data on the technical characteristics, costs, and environmental impacts of approximately one thousand energy technologies, including existing technologies, current best practices, and next generation devices.","ai_generated":true,"unit":"sei-000572#insight-1","date_modified":"2026-10-23"},{"text":"The database aggregates data from numerous sources, including the International Energy Agency, the U.S. Department of Energy, the Intergovernmental Panel on Climate Change, and regional institutions focusing on technologies in developing countries.","ai_generated":true,"unit":"sei-000572#insight-2","date_modified":"2026-10-23"},{"text":"TED can function as a standalone tool or as part of LEAP to calculate environmental loadings for energy scenarios, and it allows users to edit or supplement its core database of emission factors with their own data.","ai_generated":true,"unit":"sei-000572#insight-3","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":[],"frame_perspective":[],"analysis_type":["software guide"]},{"id":"sei-002034","url":"https://climateinsightsdirectory.org/document/sei-002034","title":"The Tree","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://cdn.leap.sei.org/help24/Screen_Layout/TreeOverview.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document describes the 'tree' in LEAP as a hierarchical outline used across Analysis, Results, and Notes views to organize data structures. It details the primary top-level branches—including Demand, Transformation, Resources, and Non-Energy Sector Effects—and explains tools for navigating the model, such as filtering and bookmarks.","ai_generated":true,"unit":"sei-002034#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The LEAP tree is a hierarchical outline used to organize and edit main data structures across the Analysis, Results, and Notes views, allowing users to select data for editing or access calculated results for specific branches.","ai_generated":true,"unit":"sei-002034#insight-1","date_modified":"2026-10-23"},{"text":"Data in the tree is organized into several major top-level categories: 'Key Assumptions' for independent variables; 'Effects' for externality costs and emission constraints; 'Demand' for energy demand structures; 'Load Shapes' for fuel-specific load definitions; 'Transformation' for energy conversion and transport; 'Resources' for indigenous production and fuel trade; 'Non-Energy Sector Effects' for non-energy GHG emissions; and 'Indicators' for user-defined results.","ai_generated":true,"unit":"sei-002034#insight-2","date_modified":"2026-10-23"},{"text":"The Transformation branch simulates energy conversion from extraction or import to final consumption, organized by 'module level' (e.g., electricity generation or refining) and 'process' level (e.g., specific power plants), where users define technology data such as efficiencies, capacities, and emission factors.","ai_generated":true,"unit":"sei-002034#insight-3","date_modified":"2026-10-23"},{"text":"LEAP provides navigation and organization tools for the tree, including a Tree Filter Toolbar to focus on model subsets without affecting calculations, and a bookmarking system (using keyboard shortcuts like Ctrl+M) to jump between specific branches and variables.","ai_generated":true,"unit":"sei-002034#insight-4","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["software guide"]},{"id":"sei-002046","url":"https://climateinsightsdirectory.org/document/sei-002046","title":"The View Bar","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://cdn.leap.sei.org/help24/Views/View_Bar.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document describes the View Bar in LEAP, which allows users to navigate between different system views. It details the Analysis View for data and model creation, the Results View for customized charts and maps, the Energy Balance View for standard tables, and Sankey diagrams for visualizing energy flows. Additionally, it explains specialized tools for Cost-Benefit Summaries, Affordability Analyses, Marginal Abatement Cost Curves (MACCs), Decomposition Reports, and the Technology and Environmental Database (TED).","ai_generated":true,"unit":"sei-002046#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Analysis View serves as the primary interface for building the energy system model, utilizing a three-pane layout to organize data structures—including Demand, Transformation, and Resources—and to enter modeling equations that generate charts and tables.","ai_generated":true,"unit":"sei-002046#insight-1","date_modified":"2026-10-23"},{"text":"LEAP includes several specialized reporting views: the Results View for customizable charts and maps, the Energy Balance View for standard energy balance tables, and Sankey diagrams that visually represent energy flows from primary resources to final demand sectors.","ai_generated":true,"unit":"sei-002046#insight-2","date_modified":"2026-10-23"},{"text":"The software provides advanced economic and environmental analysis tools, including Cost-Benefit Summaries for calculating Net Present Value (NPV), Affordability Analyses to assess consumer costs against incomes for social justice goals, and Marginal Abatement Cost Curves (MACCs) to evaluate the cost and potential of mitigation options.","ai_generated":true,"unit":"sei-002046#insight-3","date_modified":"2026-10-23"},{"text":"The Technology and Environmental Database (TED) contains technical, cost, and environmental data for approximately one thousand energy technologies, drawing from sources such as the IEA, the U.S. Department of Energy, and the IPCC.","ai_generated":true,"unit":"sei-002046#insight-4","date_modified":"2026-10-23"},{"text":"Decomposition Reports utilize the Kaya identity and IPAT methodologies to analyze trends in scenarios, typically presenting the results via waterfall charts.","ai_generated":true,"unit":"sei-002046#insight-5","date_modified":"2026-10-23"}],"climate_tags":["energy modeling"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["software guide"]}]}