Abstract Energy Systems Modelling is growing in relevance on providing insights and
strategies to plan a carbon-neutral future. The implementation of an effective energy …

The requirements made on energy system models have changed during the last few
decades. New challenges have arisen with the implementation of high shares of Renewable …

Energy system optimization models (ESOMs) are widely used to generate insight that
informs energy and environmental policy. Using ESOMs to produce policy-relevant insight …

The traditional paradigm of centralised electricity systems is being disrupted by increasing
levels of distributed generation. It is unclear as to what level of distributed generation is …

Achieving current electricity sector targets in Central Europe (Austria, Denmark, France,
Germany, Poland and Switzerland) will redistribute regional benefits and burdens at sub …

Energy system optimization models (ESOMs) have been used extensively in providing
insights to decision makers on issues related to climate and energy policy. However, there is …

Optimization-based frameworks for energy system modeling such as TIMES, ETHOS. FINE,
or PyPSA have emerged as important tools to outline a cost-efficient energy transition …

Abstract Models for long-term investment planning of the power system typically return a
single optimal solution per set of cost assumptions. However, typically there are many near …

Designing highly renewable power systems involves a number of contested decisions, such
as where to locate generation and transmission capacity. Yet, it is common to use a single …

Bottom-up energy system models rely on cost optimization to produce energy scenarios that
inform policy analyses, debates and decisions. This paper reviews the rationale for the use …