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BibTex format

@inproceedings{Oluleye:2024:10.46855/energy-proceedings-10951,
author = {Oluleye, O and Hu, F and Abu, Ali H and Savage, T},
doi = {10.46855/energy-proceedings-10951},
publisher = {Scanditale AB},
title = {A novel stochastic market potential optimisation model for clean technology uptake modelling},
url = {http://dx.doi.org/10.46855/energy-proceedings-10951},
year = {2024}
}

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TY  - CPAPER
AB  - The high mitigation cost of clean innovations, warrants policy support for increased uptake. This study applies optimization techniques to investigate the impact of market-based policies in generating sufficient demand pull to trigger cost reduction under uncertainty. A novel Stochastic Market Potential Optimization model (SMPOM) is developed to maximize the cost difference between the initial cost of a technology and the new cost using a market-based policy. The model is applied to a case study of carbon capture and storage (CCS) in 32 integrated steel plants in Europe. Results show policy induced demand pull can reduce the mitigation cost of CCS.
AU  - Oluleye,O
AU  - Hu,F
AU  - Abu,Ali H
AU  - Savage,T
DO  - 10.46855/energy-proceedings-10951
PB  - Scanditale AB
PY  - 2024///
SN  - 2004-2965
TI  - A novel stochastic market potential optimisation model for clean technology uptake modelling
UR  - http://dx.doi.org/10.46855/energy-proceedings-10951
ER  -

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