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- PROMETHEUS#Objective + (PROMETHEUS is a global energy system model … PROMETHEUS is a global energy system model covering in detail the complex interactions between energy demand, supply and energy prices at the regional and global level. Its main objectives are:</br>1) Assess climate change mitigation pathways and low-emission development strategies for the medium and long-term</br>2) Analyse the energy system, economic and emission implications of a wide spectrum of energy and climate policy measures, differentiated by region and sector)</br>3) Explore the economics of fossil fuel production and quantify the impacts of climate policies on the evolution of global energy pricess on the evolution of global energy prices)
- GCAM#Institution + (Pacific Northwest National Laboratory, Joint Global Change Research Institute (PNNL, JGCRI), USA, https://www.pnnl.gov/projects/jgcri.)
- MERGE-ETL#Institution + (Paul Scherrer Institute (PSI), Switzerland, https://www.psi.ch/en.)
- GMM#Institution + (Paul Scherrer Institute (PSI), Switzerland, https://www.psi.ch/en.)
- TIAM-UCL#Anticipation + (Perfect Foresight (Stochastic and myopic runs are also possible))
- TIAM-ECN#Anticipation + (Perfect or myopic foresight)
- VESPA#Objective + (Policy impact analysis)
- REMIND-MAgPIE#Institution + (Potsdam Institut für Klimafolgenforschung (PIK), Germany, https://www.pik-potsdam.de.)
- IMACLIM#Behaviour + (Price response (via elasticities), and non … Price response (via elasticities), and non-price drivers (infrastructure and urban forms conditioning location choices, different asymptotes on industrial goods consumption saturation levels with income rise, speed of personal vehicle ownership rate increase, speed of residential area increase).ease, speed of residential area increase).)
- IMACLIM-NLU#Behaviour + (Price response (via elasticities), and non … Price response (via elasticities), and non-price drivers (infrastructure and urban forms conditioning location choices, different asymptotes on industrial goods consumption saturation levels with income rise, speed of personal vehicle ownership rate increase, speed of residential area increase).ease, speed of residential area increase).)
- GRACE#Behaviour + (Producers maximize profit and consumers maximize utility.)
- EPPA#Objective + (Projecting Economy, Energy, and Climate Impacts)
- REMIND-MAgPIE#Name and version + (REMIND 1.5)
- REMIND-MAgPIE#Documentation + (REMIND-MAgPIE documentation consists of a referencecard and [[Model Documentation - REMIND-MAgPIE|detailed model documentation]])
- REMod#Documentation + (REMod documentation is limited and consists of a reference card)
- REMod#Objective + (REMod is a national energy system model wi … REMod is a national energy system model with a focus on cross-sectoral system development. It's used to analyze long-term transformation pathways of the whole energy system, including technological transformation in the end-use sectors. The model has been used mainly for Germany and is currently being adapted for other European countries.</br></br>It's rather unique approach of simulation-based optimization allows REMod to optimize capacity expansion and technological transformation in the end-use sectors on an annual basis while simulating the system in high detail on an hourly basis. system in high detail on an hourly basis.)
- REMod#Name and version + (REMod v2.0)
- RICE50+#Name and version + (RICE50+ 2.0.0)
- RICE50+#Documentation + (RICE50+ documentation is limited and consists of a reference card)
- IMACLIM#Anticipation + (Recursive dynamics: each year the equilibrium is solved (system of non-linear equations), in between two years parameters to the equilibrium evolve according to specified functions.)
- IMACLIM-NLU#Anticipation + (Recursive dynamics: each year the equilibrium is solved (system of non-linear equations), in between two years parameters to the equilibrium evolve according to specified functions.)
- DNE21+#Institution + (Research Institute of Innovative Technology for the Earth (RITE), Japan, http://www.rite.or.jp/en/.)
- SNOW GL HH#Documentation + (SNOW GL HH documentation is limited and consists of a reference card)
- SNOW GL HH#Objective + (SNOW_GL_HH is a static multi-region multi-sector general equilibrium model, and it includes a microsimulation module to simulate the distributional impact among households in Norway.)
- SNOW GL HH#Name and version + (SNOW_GL_HH v1)
- Euro-Calliope#Name and version + (Sector-Coupled Euro-Calliope 1.0)
- IMAGE#Anticipation + (Simulation modelling framework, without foresight. However, a simplified version of the energy/climate part of the model (called FAIR) can be run prior to running the framework to obtain data for climate policy simulations.)
- AIM-Hub Thailand#Institution + (Sirindhorn International Institute of Technology, Thammasat University (SIIT-TU), Thailand, https://www.siit.tu.ac.th/.)
- SNOW GL HH#Institution + (Statistics Norway (SSB), Norway, https://www.ssb.no/en.)
- TIAM-ECN#Name and version + (TIAM-ECN 1.1)
- TIAM-ECN#Documentation + (TIAM-ECN documentation consists of a referencecard and [[Model Documentation - TIAM-ECN|detailed model documentation]])
- TIAM-ECN#Objective + (TIAM-ECN is a linear programming integrate … TIAM-ECN is a linear programming integrated assessment model based on TIAM, a global cost-optimization model developed under the TIMES model generator framework. It minimizes discounted global energy system’s cost based on a partial equilibrium that supplies end-use service demands subject to a diverse set of previously defined constraints. Energy flows and energy conversion technologies are linked from resource level to final use, hence all main economic sectors are covered and characterized, allowing direct links to economy and environment.g direct links to economy and environment.)
- TIAM-UCL#Objective + (TIAM-UCL (TIMES Integrated Assessment Mode … TIAM-UCL (TIMES Integrated Assessment Model) uses the TIMES modelling platform, which</br>is a successor of the MARKAL platform. The markal/times modelling concept was originally intended to analyse energy systems at a regional or global level and has evolved to also describe greenhouse gas emissions.</br>Scenario based simulations maximize the total discounted sum of consumer and supplier</br>surplus over the model horizon, while taking into account the constraints (e.g. energy demand to be fulfilled, availability of energy resources etc).ed, availability of energy resources etc).)
- TIAM-UCL#Name and version + (TIAM-UCL 1.0)
- TIAM-UCL#Documentation + (TIAM-UCL documentation consists of a referencecard and [[Model Documentation - TIAM-UCL|detailed model documentation]])
- TIMES-France#Name and version + (TIMES-France 2.0)
- TIMES-France#Documentation + (TIMES-France documentation is limited and consists of a reference card)
- Euro-Calliope#Institution + (TU Delft (TU Delft), The Netherlands, https://www.tudelft.nl/.)
- GENeSYS-MOD#Institution + (Technische Universität Berlin (TU Berlin), Germany, https://wip.tu-berlin.de/., Deutsches Institut für Wirtschaftsforschung (DIW Berlin), Germany, https://www.diw.de/., Europa-Universität Flensburg (EUF), Germany, https://www.uni-flensburg.de/eum.)
- AIM-Hub Viet Nam#Objective + (The AIM-Hub_Vietnam is developed, based on … The AIM-Hub_Vietnam is developed, based on Asia-Pacific Integrated Modeling/Computable General Equilibrium (AIM/CGE) model which is renamed as AIM-Hub, to analyze the climate change mitigation and its impact. To meet this objective, the energy system is disaggregated into energy supply and demand sides. Agricultural sectors are also disaggregated for appropriate land-use treatment. The model is designed to have the flexibility to be used at a global and individual country scale with some relevant adjustments for Vietnam.ith some relevant adjustments for Vietnam.)
- AIM-Hub Thailand#Objective + (The Asia-Pacific Integrated Assessment Mod … The Asia-Pacific Integrated Assessment Model-Hub Thailand (AIM-Hub Thailand) is developed by NIES, Kyoto University, and SIIT-TU to assess the climate mitigation scenarios in Thailand. This model is based on the AIM-Hub, a recursive dynamic computable general equilibrium (CGE) model, formerly known as the AIM/CGE model. The model covers all the economic sectors along with the set of GHGs and air pollutants. A detailed disaggregation of the energy sectors is provided including the electricity generation sector. Agricultural sectors are disaggregated to assess bioenergy and land-use activities. assess bioenergy and land-use activities.)
- ENV-Linkages#Anticipation + (The ENV-Linkages model is a recursive dyna … The ENV-Linkages model is a recursive dynamic neo-classical general equilibrium 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. time step and performs the same exercise.)
- MARKAL-India#Institution + (The Energy and Resources Institute (TERI), India, www.teriin.org.)
- GEM-E3#Objective + (The GEM-E3 model is a multi-regional, mult … The GEM-E3 model is a multi-regional, multi-sectoral, recursive dynamic hybrid computable general equilibrium (CGE) model which provides details on the macro-economy and its interaction with the environment and the energy system. It incorporates micro-economic mechanisms and institutional features within a consistent macro-economic framework.hin a consistent macro-economic framework.)
- IPAC-AIM technology#Objective + (The IPAC-AIM/technology model was develope … The IPAC-AIM/technology model was developed based on AIM/end use model, which is part of the Asian-Pacific Integrated Model (AIM), which was developed by the National Institute for Environmental Studies (NIES) and Kyoto University. It is a bottom-up, energy-technology model. Based on detailed descriptions of energy services and technologies, it calculates the total energy consumption and production in a bottom-up manner. This model has been used to analyze several key countries in the Asian region including China, India, Indonesia, and Japan etc. The AIM/end-use models for key Asian developing countries have been constructed, and the results of analyses using this model have been reported (Jiang et al., 1998; Hu et al., 1996). Among the advantages of bottom-up models, the most important is that their results can be interpreted clearly because they are based on detailed descriptions of changes in human activities and technologies.nges in human activities and technologies.)
- TIAM-ECN#Institution + (The Netherlands Organization for Applied Scientific Research (TNO), The Netherlands, https://www.tno.nl/en/.)
- PRIMES#Anticipation + (The PRIMES model is fully dynamic and has … The PRIMES model is fully dynamic and has options regarding future</br>anticipation by agents in decision-making. Usually, PRIMES assumes perfect</br>foresight over a short time horizon for demand sectors and perfect foresight</br>over a long time horizon for supply sectors. The sub-models solve over the</br>entire projection period in each cycle of interaction between demand and</br>supply and so market equilibrium is dynamic and not static. Other options are</br>available allowing the model user to specify shorter time horizons for</br>foresight.ecify shorter time horizons for foresight.)
- TIMES-France#Objective + (The TIMES-France is a bottom-up optimization model of the MARKAL/TIMES family of energy models based on an optimality paradigm and is used to study the future evolution of the French energy system.)
- ENVISAGE#Institution + (The World Bank (World Bank), USA, https://www.worldbank.org/en/home.)
- IPETS#Objective + (The iPETS model is developed to analyze greenhouse gas mitigation and climate change impacts with a special emphasis on the implications of demographic heterogeneity.)
- MEDEAS#Objective + (The main objective of the MEDEAS model is … The main objective of the MEDEAS model is to help in making political decisions for an energy transition towards a low carbon society. In addition, the MEDEAS model seeks to be a useful tool to help understand the causal relationships and feedback between economic, biophysical and social variables that are linked to climate change.riables that are linked to climate change.)