Energy System Optimization for Net-Zero Electricity

A novel and fast-converging cost minimization model using non-linear constrained mathematical programming (NLP) has been developed to optimize renewable and bioenergy generation and storage systems’ capacities for transitioning to an electricity system with net-zero greenhouse gas emissions. Running...

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Main Authors: Jhuma Sadhukhan, Sohum Sen, T.M.S. Randriamahefasoa, Siddharth Gadkari
Formato: Artigo
Idioma:Inglês
Publicado: Elsevier 2022-06-01
Series:Digital Chemical Engineering
Assuntos:
Power system optimization (Python-Pyomo GAMS optimizer)
Wind-solar-hydro-geothermal-bioenergy-nuclear-gas with CCUS
Techno-economic analysis of energy systems
Wind speed and solar radiation climatic analysis
Capacity factor models of renewable energy systems
Net-zero electricity transitioning to build back greener
Acceso en liña:http://www.sciencedirect.com/science/article/pii/S2772508122000175
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