Bounitsis, Georgios L; Charitopoulos, Vassilis M; (2024) Power system planning integrating hydrogen and ammonia pathways under uncertainty. In: Manenti, Flavio and Reklaitis, Gintaras V, (eds.) Computer Aided Chemical Engineering. (pp. 2191-2196). Elsevier: Amsterdam, The Netherlands.

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Abstract

High penetration of renewable technologies, heat electrification and integration of dense energy carriers on power systems is promising towards decarbonisation. However, a lot of uncertainty sources render the efficient solution of such planning problems challenging. This work aims to investigate a nationwide power system planning problem with integration of hydrogen and ammonia under uncertain wind availability. The proposed snapshot model aims to determine optimal capacity mix in a future year under uncertainty. A risk-neutral two-stage stochastic programming approach is adopted along with a novel data-driven scenario generation technique to efficiently capture the uncertain set and alleviate the computational complexity. The proposed framework is examined on a case study concerning strategic planning of deep decarbonised coupled power and heat systems in Great Britain (GB) and the quality of stochastic solutions is highlighted.

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