Modelling of renewable electricity self-consumption within the residential sector
Modelling of renewable electricity self-consumption within the residential sector - title
Modelling of Renewable Electricity Self-consumption within the Residential Sector Test Case
Modelling of renewable electricity self-consumption within the residential sector - overview
Test Case Overview
Author / organization: Frank Meinke-Hubeny / VITO-EnergyVille
Test objective: characterization
Object Under Investigation:
- Transformer for electricity flow from PV to ELCRES, without flow through the low voltage grid (ELCLOW)
- Utilisation of electrical storage technology (Elc Storage): inflow of ELCRES in one time slice and outflow in subsequent time slice(s)
- Utilisation of Thermal Storage: inflow of electricity or thermal power in one time slice and outflow of thermal energy in subsequent time slice(s)
System configuration:
- Limited residential sector model, based on the techno-economic parameters and demand profiles of the residential sector in the TIMES Belgium model
- Demand profiles have been disaggregated to allow for a better representation of different types of end-use demands
Use case: UC18 – National scale case
Modelling of renewable electricity self-consumption within the residential sector - description
Short Description
This test case is used to characterize the functioning of self-consumption of renewable electricity within the residential sector, either in form of electricity or by conversion to heat. Compared to the BAU approach within the TIMES Belgium model, new energy commodities are introduced to represent flows ‘behind the meter’, meaning without entering the low-voltage grid.
Media Gallery


Modelling of renewable electricity self-consumption within the residential sector - details
Test Case Details
Test objective name | Modelling of renewable electricity self-consumption within the residential sector | ||
Author / organization | Frank Meinke-Hubeny / VITO-EnergyVille | ||
Short description | This test case is used to characterize the functioning of self-consumption of renewable electricity within the residential sector, either in form of electricity or by conversion to heat. Compared to the BAU approach within the TIMES Belgium model, new energy commodities are introduced to represent flows ‘behind the meter’, meaning without entering the low-voltage grid. | ||
Present use / development status | V1.1 |
Test objective | characterization | ||
Description incl. justification | The TIMES Belgium model is a technology rich, bottom up model representing all sectors of the energy system in Belgium. By separating the residential sector and introducing new commodity flows it is possible to test under what conditions (e.g. demand profiles, market prices) the self-consumption of locally generated electricity is economically viable. Also, it allows to assess the impacts of enhanced local self-consumption on centralized production needs and overall energy system costs. | ||
System configuration | Limited residential sector model, based on the techno-economic parameters and demand profiles of the residential sector in the TIMES Belgium model (see deliverable D2-3, Appendix G). Demand profiles have been disaggregated to allow for a better representation of different types of end-use demands. | ||
Use case | UC18 – National scale case Self-consumption of locally generated electricity via energy exchanges behind the meter serves to enhance the uptake of variable renewable resources and reduce energy system costs. |
System Under Test | The entire set of technologies satisfying the energy (heat and electricity) demands in the residential sector. In comparison to the status quo in the TIMES BE model (Figure G.1) the following changes are implemented in the partial residential sector model (Figure G.2):
| ||
Object Under Investigation | The main components to be characterized are (all energy flows in PJ):
| ||
Function Under Investigation | Relevant system behaviours to be characterized are (typically in total quantity and also in pattern (profile), all energy flows in PJ):
On the system level we characterize:
|
Model Validation | |||
Objective Function / Target Metrics | Linear optimization, least cost objective over the modelling horizon, based on central scenario assumptions (see test specification for details). | ||
Acceptable test result | - |