At the UCL Energy Institute, we use many different types of energy model for different purposes.

Systems and technology models

Energy system models are technology-rich cost-optimising models that are used for energy technology assessment and decarbonisation pathway studies.  We use models at UK, European and global scales.

UK TIMESUK energy systems optimisation model that supersedes UK MARKAL
ETM-UCLEuropean energy systems optimisation model
TIAM-UCLGlobal energy systems optimisation model
ESMEUK energy systems optimisation model
DynEMoUK dynamic energy systems model
OSeMOSYSOpen-source energy system model
TEMPESTMulti-scale model of the UK’s energy demand and supply system
UK MARKALUK energy systems optimisation model

Built environment models

Built environment models examine different aspects of building decarbonisation and smart energy systems.

HIDEEMBottom-up, household level health impact model
English ArchetypesBottom-up housing stock model
CaRB2Bottom-up non-domestic stock model
SmartCEDEnergy demand management model that uses optimisation for controlling demand-side management in future intelligent grids
SimStockModelling platform generating dynamic building energy simulation models

    Transport: aviation and shipping models

    Our transport models examine decarbonisation options in the international aviation and shipping sectors.

    AIMIntegrated assessment tool of the global air transportation system
    GloTraMTechno-economic model of the global freight transport system, currently focused on international shipping

      Electricity and other infrastructure models

      Electricity dispatch, network and market models help to understand how robust, low-carbon electricity systems may be designed and operated in the future.  Infrastructure models are used to understand energy transportation. Spatial and temporal factors are often very important for these systems. The electricity transmission and distribution systems are a good example but our research also includes gas networks and the development of transport sector infrastructure (e.g. for a hydrogen economy).

      DEAMAgent-based, bottom-up, techno-economic model to understand electricity substation loads
      EleServeGenerates electricity load curves
      GCDCNGranger-Causal Dynamic Complex Networks model - A toolkit to analyse the dynamic causal co-movements of a system of time series variables, with applications to electricity markets
      highRESAnalyses the integration of renewables into the UK electricity generation system
      SHIPModSpatially-detailed supply chain and infrastructure optimisation model for a transition to hydrogen vehicles in the UK
      BRAIN-EnergyAgent-based model of electricity generation and investment

      Economic models

      Economic models, often integrated with energy system models, are used to examine the wider impacts of changes in the energy system on the economy.

      TIMES MACRO PlusHybrid energy system and multi-sector economic growth model generator
      CGE-UCLComputable General Equilibrium (CGE) model that includes natural resource and environmental considerations
      COMPASSEconometric model of wholesale electricity prices

      Environmental models

      Our environmental models enable us to understand the links between energy use, greenhouse gas emissions and climate change.

      TIAM-UCL-IAMIntegrated Assessment Model version of TIAM-UCL

        Behavioural models

        Behaviour models explore the interactions between people and energy use, with a particular focus on different actors and the uncertainties that arise from their heterogeneous behaviour.

        BLUEA probabilistic dynamic simulation model to explore uncertainties due to different actors and interacting landscape
        TEMPESTA multi-scale model of the UK’s energy demand and supply system.
        BRAIN-Energy    Agent-based model of electricity generation and investment

        Other models

        Other models include resource and exploratory models.

        BUEGOEquilibrium crude oil resource model