Residential and commercial sectors - TIAM-UCL
| Corresponding documentation | |
|---|---|
| Previous versions | |
| Model information | |
| Model link | |
| Institution | University College London (UCL), UK, https://www.ucl.ac.uk. |
| Solution concept | Partial equilibrium (price elastic demand) |
| Solution method | Linear optimisation |
| Anticipation | Perfect Foresight
(Stochastic and myopic runs are also possible) |
Base-year residential sector final energy consumption calibration is modelled in the Base-Year template for residential, commercial and agriculture sectors. The template has IEA residential sector final consumption data for the base-year 2005. It also includes details for residential sector fuels and all existing technologies in residential sector. The template also captures residential sector emissions. All new technologies that are available after the first year (base-year) are modelled seperately. Selected energy-services in residential sector are also has demand data at sub region level for selected regions in order to have different growth rate at sun-region level for those energy-services.
Energy service demands
The residential sector includes 11 energy-services as presented in Table 3-4-3. All energy-service demands are in PJ. In the residential sector, some segments are identified using more than one code, which means that the demand can be disaggregated in four or less sub-regions. Currently, USA and CAN have four and three geographic regions, respectively, while AFR, CHI, IND, MEA and MEX each have two ?sub-regions?, corresponding to rural and urban areas. When no sub-regions have been defined, the codes for sub-region 1 are used by default. Energy service demands are projected to 2100 using general economic and demographic drivers (population, GDP and GDP per capita). To develop projections of future energy-service demands, estimates of drivers are used in conjunction with user assumptions on the topic of service demand sensitivity to these drivers (see Section on demand projections and drivers). Growth rates for residential lighting are relatively high in selected sub-regions in the developing world. Thisis because of very low level of electrification at present (base-year) in these sub-regions.
Table 3.4.3: Residential sector energy-services
| Energy-Service |
| Residential Cooling |
| Residential Clothes Drying |
| Residential Clothes Washing |
| Residential Dishwashing |
| Residential Other Electric |
| Residential Space Heat |
| Residential Hot Water |
| Residential Cooking - Region 1 |
| Residential Lighting - Region 1 |
| Residential Refrigeration |
| Residential Others |
The same fuels (both Existing and New) are used in both the Residential and Commercial sectors.
Technologies
Residential sector existing end-use technologies are modelled in the Base-Year templates. No investment can be made in existing technologies. These new technologies progressively replace the existing ones as they reach the end of their technology life assumptions. For each end-use energy-service, a number of existing technologies are in competition to satisfy the demand. They are characterized by an efficiency, an annual utilization factor, a lifetime, operation costs, and six seasonal share coefficients (summer-day, summer-night, intermediary-day, intermediary-night, winter-day, winter-night). The sum product of the final energy consumption and the efficiency of technologies give the base-year demand value. Region specific hurdle rates, which are used to annualise investment cost of the residential end-use technologies, has been applied to residential sector technologies.