IFTEM: An interval-fuzzy two-stage stochastic optimization model for regional energy systems planning under uncertainty

Energy Policy ◽  
2009 ◽  
Vol 37 (3) ◽  
pp. 868-878 ◽  
Author(s):  
Q.G. Lin ◽  
G.H. Huang ◽  
B. Bass ◽  
X.S. Qin
Keyword(s):  
Stochastic Optimization ◽  
Optimization Model ◽  
Energy Systems ◽  
Planning Under Uncertainty ◽  
Two Stage ◽  
Regional Energy ◽  
Systems Planning ◽  
Regional Energy Systems

scholarly journals Effect of the Foresight Horizon on Computation Time and Results Using a Regional Energy Systems Optimization Model

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 495
Author(s):  
Jessica Thomsen ◽  
Noha Saad Hussein ◽  
Arnold Dolderer ◽  
Christoph Kost
Keyword(s):  
Computation Time ◽  
Energy Systems ◽  
Energy System ◽  
Variable Cost ◽  
Optimization Approach ◽  
Or Efficiency ◽  
Electricity Grid ◽  
Regional Energy ◽  
Long Run ◽  
Regional Energy Systems

Due to the high complexity of detailed sector-coupling models, a perfect foresight optimization approach reaches complexity levels that either requires a reduction of covered time-steps or very long run-times. To mitigate these issues, a myopic approach with limited foresight can be used. This paper examines the influence of the foresight horizon on local energy systems using the model DISTRICT. DISTRICT is characterized by its intersectoral approach to a regionally bound energy system with a connection to the superior electricity grid level. It is shown that with the advantage of a significantly reduced run-time, a limited foresight yields fairly similar results when the input parameters show a stable development. With unexpected, shock-like events, limited foresight shows more realistic results since it cannot foresee the sudden parameter changes. In general, the limited foresight approach tends to invest into generation technologies with low variable cost and avoids investing into demand reduction or efficiency with high upfront costs as it cannot compute the benefits over the time span necessary for full cost recovery. These aspects should be considered when choosing the foresight horizon.

scholarly journals An Indicator-Based Approach for Analysing the Resilience of Transitions for Energy Regions. Part II: Empirical Application to the Case of Weiz-Gleisdorf, Austria

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2263 ◽  
Author(s):  
Romano Wyss ◽  
Susan Mühlemeier ◽  
Claudia Binder
Keyword(s):  
Path Length ◽  
Energy Systems ◽  
Energy System ◽  
Degree Centrality ◽  
Study Region ◽  
Regional Energy ◽  
Stabilization Phase ◽  
Full Picture ◽  
Regional Energy Systems

In this paper, we apply an indicator-based approach to measure the resilience of energy regions in transition to a case study region in Austria. The indicator-based approach allows to determine the resilience of the transition of regional energy systems towards higher shares of renewables and potentially overall higher sustainability. The indicators are based on two core aspects of resilience, diversity and connectivity. Diversity is thereby operationalized by variety, disparity and balance, whereas connectivity is operationalized by average path length, degree centrality and modularity. In order to get a full picture of the resilience of the energy system at stake throughout time, we apply the measures to four distinct moments, situated in the pre-development, take-off, acceleration and stabilization phase of the transition. By contextually and theoretically embedding the insights in the broader transitions context and empirically applying the indicators to a specific case, we derive insights on (1) how to interpret the results in a regional context and (2) how to further develop the indicator-based approach for future applications.

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