# Energy Service Demands TIAM comprises 42 energy-services in the five end-use sectors (see Table 1). Table 1: Energy service demands in the TIAM model | Residential segments | Commercial segments | Industrial segments | Transportation segments | Other segments | |---------------------------|-------------------------|--------------------------|------------------------------|------------------------------| | Space heating | Commercial cooling | Chemicals | Domestic Aviation | Agriculture | | Space cooling | Commercial cooking | Iron and steel | International Aviation | Non-energy uses in transport | | Water heating | Commercial space heat | Pulp and Paper | Road Bus Demand | | | Lighting | Commercial hot water | Non-ferrous metals | Road Commercial Trucks Demand | | | Cooking | Commercial lighting | Non Metals | Road Three wheels Demand | | | Refrigeration | Commercial office equipment | Other Industries | Road Heavy Trucks Demand | | | Clothes washing | Commercial refrigeration | Industrial and Other Non Energy Uses | Road Light Vehicle Demand | | | Clothes drying | | Other non-specified consumption | Road Medium Trucks Demand | | | Dish washing | | | Road Auto Demand | | | Electric appliances | | | Road Two Wheels Demand | | | Other energy uses | | | Rail-Freight | | | | | | Rail-Passengers | | | |Domestic Internal Navigation | | | | | |International Navigation | | | To fulfill each energy-service demand, a number of technologies exist. The technologies vary in terms of input fuel(s), efficiency and costs. In fact, each of the energy-services is treated as a function that consumes energy to satisfy the demand for a service (e.g., demand for auto transport, measured in billion vehicle kilometers). Similar to other bottom-up models, the energy-service demands in TIAM are projected exogenously. They are specified at the regional level based on a range of exogenously-given drivers such as GDP, GDP per capita, GDP per household and population. The energy-service demands are linked to the underlying drivers, using elasticity factors. The elasticity factors reflect the sensitivity of energy-service demands to a change in their underlying drivers. Usually, the assigned elasticities are less than one, highlighting that the energy-service demands grow slower than the underlying drivers. As the energy-service demands in the TIAM model are projected exogenously, they are independent to their prices. This means that the projection of an energy-service demand is fixed unless either the driver or the elasticity parameter changes. Therefore, although TIAM shows how the energy-service demands can be satisfied at the lowest possible cost, it is not able to reflect the ‘price effect’ which refers to the impact of a change in energy prices on the demand of energy services (Parkin et al., 2005). Hence, although the model provides a detailed technological representation of the energy system, it is not able to address the contribution of (price- dependent) energy-service demands in tackling climate change. ### References Babak Mousavi, “Analysis of the relative roles of supply-side and demand-side measures in tackling global climate change: Application of a hybrid energy system model,” vol. 2018.