Bounitsis, Georgios L; Charitopoulos, Vassilis M; (2023) Optimal capacity planning integrating ammonia storage for power and heat decarbonisation. In: Kokossis, Antonios C and Georgiadis, Michael C and Pistikopoulos, Efstratios, (eds.) Computer Aided Chemical Engineering. (pp. 3049-3054). Elsevier: Amsterdam, The Netherlands.

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Abstract

Deep decarbonisation strategies for achieving the ambitious net-zero target pledged by the UK require thorough investigation of sector coupling dependencies. With heat being the single biggest energy consumer in the UK, pathways including dense energy carriers, which can store the excessive intermittent renewable energy, constitute a focal point of interest. In this work the role of ammonia as an energy vector for long-term storage in Great Britain’s (GB) power system planning is evaluated. A linear programming spatially explicit snapshot model is formulated to set a fine-grained temporal resolution and capture seasonality of renewable sources. Decisions on capacity planning and operation of the system for a target year are optimised. Moreover, both power and heat demands are optimised as the heat demand mix is determined. The proposed model is applied on a case study of GB’s power system in 2040 and the role of ammonia is investigated.

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