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This page provides a simple browsing interface for finding entities described by a property and a named value. Other available search interfaces include the page property search, and the ask query builder.
List of results
- 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.)
- MUSE#Institution + (Imperial College London (Imperial College London), UK, https://www.imperial.ac.uk/.)
- IMAGE#Behaviour + (In the energy model, substitution among te … In the energy model, substitution among technologies is described in the model using the multinomial logit formulation. The multinomial logit model implies that the market share of a certain technology or fuel type depends on costs relative to competing technologies. The option with the lowest costs gets the largest market share, but in most cases not the full market. We interpret the latter as a representation of heterogeneity in the form of specific market niches for every technology or fuel.arket niches for every technology or fuel.)
- AIM-Enduse India#Institution + (Indian Institute of Management Ahmedabad (IIMA), India, https://www.iima.ac.in/.)
- IMACLIM-India#Institution + (Indian Institute of Management Lucknow (IIML), India, www.iiml.ac.in., Indian Institute of Management Ahmedabad (IIMA), India, www.iima.ac.in.)
- GEM-E3#Institution + (Institute of Communication And Computer Systems (ICCS), Greece, https://www.iccs.gr/en/.)
- MESSAGE-GLOBIOM#Institution + (International Institute for Applied Systems Analysis (IIASA), Austria, http://data.ene.iiasa.ac.at.)
- POLES#Institution + (JRC - Joint Research Centre - European Commission (EC-JRC), Belgium, http://ec.europa.eu/jrc/en/.)
- DART#Institution + (Kiel Institute for the World Economy (IfW), Germany, https://www.ifw-kiel.de/.)
- GCAM-KSA#Institution + (King Abdullah Petroleum Studies and Research Center (KAPSARC), Saudi Arabia, https://www.kapsarc.org/.)
- MESSAGE Korea#Institution + (Korea Advanced Institute of Science and Technology (KAIST), South-Korea, https://www.kaist.ac.kr/en/.)
- GCAM-KAIST#Institution + (Korea Advanced Institute of Science and Technology (KAIST), South-Korea, https://www.kaist.ac.kr/en/.)
- AIM-Enduse Japan#Institution + (Kyoto University (KU), Japan, https://www.kyoto-u.ac.jp/en/., National Institute for Environmental Studies (NIES), Japan, .)
- MARKAL-India#Name and version + (MARKAL-India 1.0)
- MARKAL-India#Documentation + (MARKAL-India documentation consists of a referencecard and [[Model Documentation - MARKAL-India|detailed model documentation]])
- MEDEAS#Name and version + (MEDEAS 1.0)
- MEDEAS#Documentation + (MEDEAS documentation is limited and consists of a reference card)
- MERGE-ETL#Objective + (MERGE acts as a global social planner with … MERGE acts as a global social planner with perfect foresight where the objective function is the maximization of a global welfare that corresponds to the Negishi-weighted regional utility. The utility is modeled as the natural logarithm of consumption. The logarithmic form of the regional utility func- tion implies diminishing marginal utility to consumption; therefore, an additional dollar of consumption produces larger utility gains in poorer regions. The global utility is calculated using the utility of each region weighted by means of Negishi weights. The Negishi weights are used to equalize the marginal utility of consumption among regions, hence an additional dollar of consumption in any region has the same effect on the global welfare.has the same effect on the global welfare.)
- MERGE-ETL#Name and version + (MERGE-ETL 6.0)
- MERGE-ETL#Anticipation + (MERGE-ETL acts as a rational global social planner with perfect foresight to maximize the global welfare.)
- MERGE-ETL#Documentation + (MERGE-ETL documentation consists of a referencecard and [[Model Documentation - MERGE-ETL|detailed model documentation]])
- MESSAGE Korea#Documentation + (MESSAGE Korea documentation is limited and consists of a reference card)
- MESSAGE-GLOBIOM#Objective + (MESSAGE at its core is a technology-detail … MESSAGE at its core is a technology-detailed energy-engineering optimization model used for energy planning. Through linkage to macro-economic, land-use and climate models it is capable of taking into account important feedbacks and limitations in these areas outside of the energy system. these areas outside of the energy system.)
- MESSAGE-GLOBIOM#Name and version + (MESSAGE-GLOBIOM 1.0)
- MESSAGE-GLOBIOM#Documentation + (MESSAGE-GLOBIOM documentation consists of a referencecard and [[Model Documentation - MESSAGE-GLOBIOM|detailed model documentation]])
- MESSAGE Korea#Name and version + (MESSAGE-Korea 1.0)
- MIGRATION#Name and version + (MIGRATION 1.0)
- MIGRATION#Documentation + (MIGRATION documentation is limited and consists of a reference card)
- MIGRATION#Objective + (MIGRATION is aimed at generating versions … MIGRATION is aimed at generating versions of the SSP with zero migration. Based on a gravity model and on preexisting population projections with zero migration, it provides projections of GDP, inequality across and within countries, final energy consumption and CO2 emissions for zero migration. These projections ensure consistency with the interdisciplinary framework of the SSPs, which makes them particularly useful for assessing global climate policy options.r assessing global climate policy options.)
- MUSE#Name and version + (MUSE 1.0)
- MUSE#Documentation + (MUSE documentation consists of a referencecard and [[Model Documentation - MUSE|detailed model documentation]])
- MUSE#Objective + (MUSE is an agent-based energy systems mode … MUSE is an agent-based energy systems model which simulates the decision-making process of firms and consumers in the energy system. It aims at capturing the multi-faceted aspects of the energy systems transitions in a realistic way as they would be affected by limited knowledge of the future and the technology readiness adopting a bottom-up approach to the technology description.up approach to the technology description.)
- EPPA#Institution + (Massachusetts Institute of Technology (MIT), USA, https://globalchange.mit.edu/.)
- McKinsey#Institution + (McKinsey & Company (McKinsey), USA, https://www.mckinsey.com.)
- McKinsey#Name and version + (McKinsey 1.0)
- McKinsey#Documentation + (McKinsey documentation is limited and consists of a reference card)
- MERGE-ETL#Behaviour + (Modelled as side constraints influencing deployment rate (or adoption rate) of energy supply and demand technologies)
- POLES#Anticipation + (Myopic)
- IFs#Anticipation + (Myopic)
- NICE#Name and version + (NICE 2020)
- NICE#Documentation + (NICE documentation is limited and consists of a reference card)
- AIM-Enduse India#Objective + (National)
- CCEM#Institution + (National Academy of Techhnologies of France (NATF), France, https://www.academie-technologies.fr/en/academie/.)
- IPETS#Institution + (National Center for Atmospheric Research (NCAR), USA, https://ncar.ucar.edu/.)