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List of results

• GCAM#Name and version  + (GCAM 7.0)
• GCAM#Documentation  + (GCAM documentation consists of a referencecard and [[Model Documentation - GCAM|detailed model documentation]])
• GCAM#Anticipation  + (GCAM is a dynamic recursive model, meaning … GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.tations based on multi-period experiences.)
• GCAM-India#Anticipation  + (GCAM is a dynamic recursive model, meaning … GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.tations based on multi-period experiences.)
• GCAM#Objective  + (GCAM is an integrated, multi-sector model … GCAM is an integrated, multi-sector model that explores both human and Earth system dynamics. The role of models like GCAM is to bring multiple human and physical Earth systems together in one place to shed light on system interactions and provide scientific insights that would not otherwise be available from the pursuit of traditional disciplinary scientific research alone. GCAM is constructed to explore these interactions in a single computational platform with a sufficiently low computational requirement to allow for broad explorations of scenarios and uncertainties. Components of GCAM are designed to capture the behavior of human and physical systems, but they do not necessarily include the most detailed process-scale representations of its constituent components. On the other hand, model components in principle provide a faithful representation of the best current scientific understanding of underlying behavior.ific understanding of underlying behavior.)
• GCAM-India#Objective  + (GCAM-CEEW is a global integrated assessmen … GCAM-CEEW is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v5.2.The GCAM CEEW version disaggregates the residential sector into rural and urban to better represent the Indian scenario. It further separates electricity for commercial and residential use.</br></br>Data on costs of technologies, fuel prices, and energy data have been taken from Indian government databases as well as India-specific relevant surveys done by various organisations. Energy-related data is taken from IEA as well as India-specific sources.rom IEA as well as India-specific sources.)
• GCAM-India#Name and version  + (GCAM-CEEW v5.2)
• GCAM-India#Documentation  + (GCAM-India documentation is limited and consists of a reference card)
• GCAM-KAIST#Name and version  + (GCAM-KAIST 1.0)
• GCAM-KAIST#Documentation  + (GCAM-KAIST documentation is limited and consists of a reference card)
• GCAM-KSA#Name and version  + (GCAM-KSA 1.0)
• GCAM-KSA#Documentation  + (GCAM-KSA documentation is limited and consists of a reference card)
• GCAM-KSA#Anticipation  + (GCAM-KSA is a dynamic recursive model, mea … GCAM-KSA is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.tations based on multi-period experiences.)
• GCAM-KSA#Objective  + (GCAM-KSA is a global integrated assessment … GCAM-KSA is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v6.0. We have separated the Kingdom of Saudi Arabia (KSA) as a separate energy-economy region, i.e., GCAM–KSA includes 33 energy-economy regions (32 original regions plus KSA).my regions (32 original regions plus KSA).)
• GEM-E3#Name and version  + (GEM-E3 _092019)
• GEM-E3#Documentation  + (GEM-E3 documentation consists of a referencecard and [[Model Documentation - GEM-E3|detailed model documentation]])
• GENeSYS-MOD#Documentation  + (GENeSYS-MOD documentation is limited and consists of a reference card)
• GENeSYS-MOD#Objective  + (GENeSYS-MOD is aimed at creating long-term … GENeSYS-MOD is aimed at creating long-term pathways for the energy system, focusing on sector-coupling of the traditionally segregated sectors electricity, buildings, industry, and transport. To achieve this, GENeSYS-MOD minimizes the net-present value of the entire energy system towards 2050. As a result, the model provides the cost-optimal capacity expansion, mix and flow of energy carriers, and emission abatement, while taking into account flexibility options and climate targets.t flexibility options and climate targets.)
• GENeSYS-MOD#Name and version  + (GENeSYS-MOD v3.0)
• GMM#Name and version  + (GMM 1.0)
• GMM#Documentation  + (GMM documentation consists of a referencecard and [[Model Documentation - GMM|detailed model documentation]])
• GMM#Objective  + (GMM is a cost optimization energy systems … GMM is a cost optimization energy systems model that determines the least-cost combination of technologies and fuels to satisfy demands and fulfil other constraints, from the perspective of a single social planner. GMM has a bottom-up representation of the energy system of 17 world regions, with a detailed representation of energy supply technologies and an aggregate representation of demand technologies.ate representation of demand technologies.)
• GRACE#Name and version  + (GRACE 2018)
• GRACE#Documentation  + (GRACE documentation consists of a referencecard and [[Model Documentation - GRACE|detailed model documentation]])
• E3ME-FTT#Institution  + (Global System Institute, University of Exe … Global System Institute, University of Exeter (UNEXE), United Kingdom, https://www.exeter.ac.uk/gsi/., School of Environment, Earth and Ecosystems Sciences, The Open University (OU), United Kingdom, http://www.open.ac.uk/science/environment-earth-ecosystems/., Cambridge Econometrics (CE), United Kingdom, https://www.camecon.com/. United Kingdom, https://www.camecon.com/.)

• GMM#Anticipation  + (Global social planner with perfect foresight)

• MEDEAS#Institution  + (Group of Energy, Economy and Systems Dynamics, University of Valladolid (GEEDS-UVa), Spain, https://geeds.es/en/.)
• WITNESS#Objective  + (IAM framework enabling simulation, multi-d … IAM framework enabling simulation, multi-domain analysis or optimization involving all or part of Economy, Energy, Resources, Climate, Population, Public policies.</br>A typical usage is to optimize over years economy investment across available energy production technologies to maximize produced energy while minimizing emissions within resources constraints (or globally to maximize welfare under constraints).ly to maximize welfare under constraints).)
• ICES#Name and version  + (ICES 1.0)
• ICES#Documentation  + (ICES documentation consists of a referencecard and [[Model Documentation - ICES|detailed model documentation]])
• ICES#Objective  + (ICES is a recursive dynamic multi-region and multi-sector Computable General Equilibrium (CGE) model used to assess impacts of climate change on the economic system and to study mitigation and adaptation policies.)
• IFs#Name and version  + (IFs International Futures 7.36)
• IFs#Documentation  + (IFs documentation consists of a referencecard and [[Model Documentation - IFs|detailed model documentation]])
• IMACLIM#Documentation  + (IMACLIM documentation consists of a referencecard and [[Model Documentation - IMACLIM|detailed model documentation]])
• IMACLIM#Name and version  + (IMACLIM- R 1.0)
• IMACLIM-India#Name and version  + (IMACLIM-India 1.0)
• IMACLIM-India#Documentation  + (IMACLIM-India documentation is limited and consists of a reference card)
• IMACLIM-NLU#Name and version  + (IMACLIM-NLU 1.0)
• IMACLIM-NLU#Documentation  + (IMACLIM-NLU documentation is limited and consists of a reference card)
• IMAGE#Documentation  + (IMAGE documentation consists of a referencecard and [[Model Documentation - IMAGE|detailed model documentation]])
• IMAGE#Name and version  + (IMAGE framework 3.0)
• IMAGE#Objective  + (IMAGE is an ecological-environmental model … IMAGE is an ecological-environmental model framework that simulates the environmental consequences of human activities worldwide. The objective of the IMAGE model is to explore the long- term dynamics and impacts of global changes that result. More specifically, the model aims </br># to analyse interactions between human development and the natural environment to gain better insight into the processes of global environmental change; </br># to identify response strategies to global environmental change based on assessment of options and </br># to indicate key inter-linkages and associated levels of uncertainty in processes of global environmental change. processes of global environmental change.)
• IPAC-AIM technology#Documentation  + (IPAC-AIM technology documentation consists of a referencecard and [[Model Documentation - IPAC-AIM technology|detailed model documentation]])
• IPAC-AIM technology#Name and version  + (IPAC-AIM/technology 1.0)
• IPAC-Global#Name and version  + (IPAC-Global 1.0)
• IPAC-Global#Documentation  + (IPAC-Global documentation consists of a referencecard and [[Model Documentation - IPAC-Global|detailed model documentation]])
• IPAC-Global#Objective  + (IPAC-Global model is an extended version o … IPAC-Global model is an extended version of the AIM-Linkage model used in IPCC Special Report on Emission Scenarios (SRES). This model links the social and economy development, energy activities and land use activities, and forms a full range of emission analysis. IPAC includes mainly four parts: (1) society, economy and energy activities module, which mainly analyzes the demand and supply in the condition of social and economic development, and determines the energy prices; (2) energy technology module, which analyzes the short and mid-term energy utilization technologies under different conditions, and determines the energy demand under different technology compositions. The energy demand in energy technology module will modify the short and mid-term energy demand in society, economy and energy activities module, which makes the energy analysis in macro-economic model better reflect the short and mid-term energy activities; (3) land use module, which analyzes the emissions from land use process. This mainly includes emissions from agricultural food supplies, stock raising, forest management and biomass energy production; (4) industrial process emission module, which mainly analyzes the emissions from all kinds of industrial productions. The society, economy and energy activities module is built based on ERB model developed by Pacific Northwest National Laboratory (PNNL) in US. Energy technology module is the IPAC-AIM/technology module developed collaboratively by Climate Change Strategies Assessment Research Team in ERI and National Institute of Environmental Studies in Japan. Land use module is modified and extended based on the AGLU model developed by PNNL.based on the AGLU model developed by PNNL.)
• IPETS#Name and version  + (IPETS 2.0)
• IPETS#Documentation  + (IPETS documentation is limited and consists of a reference card)
• IMACLIM-NLU#Objective  + (Imaclim-NLU is intended to study the interactions between energy systems and the economy, to assess the feasibility of low carbon development strategies and the transition pathway towards low carbon future.)
• IMACLIM#Objective  + (Imaclim-R is intended to study the interactions between energy systems and the economy, to assess the feasibility of low carbon development strategies and the transition pathway towards low carbon future.)