A robust infinite-horizon optimal control approach to climate economics

An infinite-horizon optimal control paradigm is proposed to model the global energy transition to zero-net emissions when carbon dioxide removal (CDR) and electric fuel (E-Fuel) technologies become available. Infinite-horizon optimal trajectories for convex systems are often characterized by global...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Central European journal of operations research Ročník 33; číslo 2; s. 499 - 528
Hlavní autoři: Babonneau, Frédéric, Haurie, Alain, Vielle, Marc
Médium: Journal Article
Jazyk:angličtina
Vydáno: Heidelberg Springer Nature B.V 01.06.2025
Témata:
Alternative energy
Asymptotic properties
Availability
Biomass energy
Carbon dioxide
Carbon dioxide removal
Climate policy
Fuels
Mathematical programming
Optimal control
Robust control
Sustainability
Trajectory optimization
ISSN:1435-246X, 1613-9178
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:An infinite-horizon optimal control paradigm is proposed to model the global energy transition to zero-net emissions when carbon dioxide removal (CDR) and electric fuel (E-Fuel) technologies become available. Infinite-horizon optimal trajectories for convex systems are often characterized by global asymptotic stability, where an attractor exists, which is defined as an extremal steady state. In our approach, this asymptotic attractor, known as the ‘turnpike’, represents a sustainable future with zero net emissions. The turnpike can be obtained by solving an “implicit” mathematical programming problem where we introduce robustness for taking into account some important uncertainties on the availability of $$\hbox {CO}_2$$ CO 2  storage. The complete mathematical description of an infinite-horizon optimal control formulation is complemented by the numerical illustration which shows results that are consistent with the goals of Paris-agreement.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1435-246X
1613-9178
DOI:10.1007/s10100-025-00973-0