December 22 2017, the Federal Planning Bureau received an assignment from the federal minister of Energy, Mrs. Marghem, to perform a new study. The occasion was the appearance of the joint Vision document elaborated by the four Ministers of Energy and the subsequent demand for additional calculations by some stakeholders. The main task of this supplementary study then consists in analysing the impact of four predefined electricity scenarios with horizon 2030 on a number of socio-economic indicators.
At the request of the federal Minister of Energy, this report was carried out as a follow-up on the cost-benefit analysis published by the Federal Planning Bureau in February 2017. It constitutes an addendum to the February study in that some additional questions impacting the Belgian production park are scrutinized in detail. Four topics are dealt with. The first one concerns the impact of an increase in the Belgian cross-border transfer capacity by 2 GW on the functioning of the domestic flexible thermal park. The effect this will cause on the full load hours, the system marginal cost, CO2 emissions, the required volumes of natural gas and employment is studied. Second, the report assesses the cost of keeping currently existing gas-fired power plants operational and provides a comparison with the cost of building new flexible and reliable units. Third, the socio-economic impact of an increased risk of a black-out is scrutinized. The economic asymmetry this induces in relation to the costs and benefits of maintaining sufficient domestic capacity to comply with the legally defined Loss of Load (LOLE) criterion of 3h is documented. Finally, the question of premature closure of currently existing Belgian gas-fired power plants that have not yet reached the end of their operational lifetime is investigated by means of different indicators throughout the paper.
Transport models used for long-term projections should reflect the impact of shared, automated and electric mobility modes. The objective of the current paper is to derive lessons from the existing literature on vehicle ownership modelling to find options to further improve the PLANET model, which is used for projections of transport demand in Belgium.
PLANET is already well equipped to represent the impacts of shared and automated cars on the opportunity cost of travel time, the load factors and the annual mileage of cars.