3FOOD

Third Industrial Revolution Consulting Group
Decision Support for Future Energy System Design
Transitioning toward a fully TIR-enabled Energy Internet in Luxembourg involves invasive
processes, where many high-impact decisions (with long-term consequences for all
stakeholders) have to be made. As such, we recommend completing a number of intermediary
initiatives to provide strategic guidance and operational support:
Scenario analysis. There are many conceivable and potentially viable ways to transition
to a carbon-free energy system in 2050. The exact components of that system depend
on many societal, political, economic, and technological factors and are therefore
extremely difficult to predict. In order for Luxembourg to make the right choices at the
right time, and to be able to identify the no-regret and high-risk options at any point in
time during this transition, further analyses are necessary to identify and assess a set of
scenarios that contain all conceivable ingredients of the energy transition. These
analyses can yield the most feasible transition paths and actions to be taken by
Luxembourg, to optimally manage the energy transition.
Stakeholder analysis. Additional analysis should be conducted to outline the
implementation of commodity and flexibility markets and supporting regulation, such
that both existing and new players in this market have equal access and fair market
conditions. For the energy transition to be a success, stakeholders of all sizes have to be
able to participate against acceptable costs-to-connect and costs-to-serve. These
requirements mandate a scalable solution, both in scope and number of participants,
which recognizes the different stakeholders and their role in a smart energy system.
Freedom of connection, transaction, and dispatch should be guaranteed, and the
implemented solution should align well with European wholesale markets.
Modeling platform. A modeling platform is needed to ensure that at any point during
the transition, the best possible decisions can be made, and that these decisions are
powered by the most complete and available data and their effects can be effectively
communicated to all stakeholders. Such a platform should feature components for
detailed, multi-commodity load flow planning and optimization, grid capacity planning,
and conversion and energy storage options. The platform should allow for analysis of
“what if” scenarios and benefit/cost analyses on both the national and local level.
Integration with open data sources should be possible to make use of best available
data. Spatial planning aspects should be incorporated via dashboards and 3D
visualization features. An example of this visualization is shown in Figure 8.
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