Rasheed Baisie
Gazeta Tema
3 Papers
2 Citations
Rasheed Baisie is an academic researcher from Gazeta Tema. The author has contributed to research in topics: Renewable energy & Environmental science. The author has an hindex of 1, co-authored 1 publications.
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Papers
Designing diversified renewable energy systems to balance multisector performance
Jose M. Gonzalez,James E. Tomlinson,Eduardo Alejandro Martinez Cesena,Mohammed Basheer,Emmanuel Obuobie,Philip Tetteh Padi,Salifu Addo,Rasheed Baisie,Mikiyas Etichia,Anthony Hurford,Andrea Bottacin-Busolin,John H. Matthews,James Dalton,D.M. Smith,Justin Sheffield,Mathaios Panteli,Julien J. Harou +16 more
TL;DR: In this paper , an artificial intelligence-assisted multisector design framework was developed and applied in Ghana, which shows how hydropower's flexibility alone could enable expanding intermittent renewables by 38% but would increase sub-daily Volta River flow variability by up to 22 times compared to historical baseload hyd power operations.
Strengthening the Ghanaian transmission system to accommodate variable renewable energies
Marilyn Winifred Asmah,Johanna M. A. Myrzik,Benjamin Kwame Ahunu,Rasheed Baisie +3 more
- 01 Jun 2017
TL;DR: In this paper, the authors identified some of the expected technical challenges that may arise from the integration of renewable energies in Ghana's transmission system and further presented the strategies being adopted to deal with the challenges and also discussed briefly the Grid Optimization before Reinforcement before Expansion (GOAR) principle and proposed its adoption in the Ghanaian power system as an effective network planning strategy.
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Quantifying the Impacts of Modelling Assumptions on Accuracy and Computational Efficiency for Integrated Water-Energy System Simulations Under Uncertain Climate
Eduardo Alejandro Martinez Cesena,Yutian Zhou,Jose Nicolas Melchor Gutierrez,Wen-xin Zhu,Mathaios Panteli,Joseph Mutale,Pierluigi Mancarella,James E. Tomlinson,Rasheed Baisie,Emmanuel Obuobie,Julien J. Harou +10 more
TL;DR: In this article , a Mixed Integer Linear Programming (MILP) integrated water-energy system simulation methodology is proposed to adapt and quantify different modelling assumptions under various weather-related conditions (e.g., water scarcity and high temperatures).