Uncertainty sensitivity assessment on the optimization of the design and operation of complex energy systems

Nadal, Amélia; Ruby, Alain; Bourasseau, Cyril; Riu, Delphine; Bérenguer, Christophe

doi:10.1201/9781351174664-330

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“…In another paradigm, Reference 97* uses the Odyssey simulation tool as a black box and perform a hybrid robust and stochastic optimization of a stand‐alone power system. Most influential parameters are first determined with a general two‐stage sensitivity analysis (based on the Morris method and the Sobol sensitivity indexes); the system size is then optimized with a GA (hybrid stochastic/robust optimization with selected uncertain parameters).…”

Section: Survey Of Optimization Methods For Energy System Planningmentioning

confidence: 99%

Techno‐economic planning of local energy systems through optimization models: a survey of current methods

Cuisinier

Bourasseau

Ruby

et al. 2020

Intl J of Energy Research

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Summary Energy system planning is a difficult task, since it involves long‐term decision‐makings with multiple dimensions: technical, economic, social, ecological, and political. The rise of distributed and multi‐energy systems including new technologies has further increased this complexity. Techno‐economic studies based on optimization models have recently received much attention in the literature. They are essential to grasp energy systems complexity and provide decision support. This work targets methodological issues related to local systems while comparing them with methods used at larger scales. First, a new framework providing a comprehensive vision of added values and limits of optimization models is presented. Then, the main methodological trends as well as several undertaken research paths are identified based on the analysis of more than 60 research papers. The review results are summarized in a complete and concise table. Finally, future research topics are discussed including the operational facets of investment optimization models in case of high intermittent energy shares, flexibility issues and long‐term operational decisions. The results provide useful information to modellers or researchers that look for appropriate and state‐of‐the‐art optimization methods, or aim to deepen current research paths. Hence, they will facilitate the planning and development of energy systems for the future.

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Section: Survey Of Optimization Methods For Energy System Planningmentioning

confidence: 99%

Techno‐economic planning of local energy systems through optimization models: a survey of current methods

Cuisinier

Bourasseau

Ruby

et al. 2020

Intl J of Energy Research

View full text Add to dashboard Cite

show abstract

Uncertainty sensitivity assessment on the optimization of the design and operation of complex energy systems

Cited by 1 publication

References 1 publication

Techno‐economic planning of local energy systems through optimization models: a survey of current methods

Techno‐economic planning of local energy systems through optimization models: a survey of current methods

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