An intelligent thermodynamic/economic approach based on artificial neural network combined with MOGWO algorithm to study a novel polygeneration scheme using a modified dual-flash geothermal cycle

Flash-based geothermal cycles correspond to environmentally friendly and cost-effective processes in a renewable framework and provide an opportunity for combined cycles. However, these cycles are characterized by significant energy losses and their waste stream’s low/medium operational temperature...

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Vydáno v:	Process safety and environmental protection Ročník 173; s. 859 - 880
Hlavní autoři:	Haghghi, Maghsoud Abdollahi, Hasanzadeh, Amirhossein, Nadimi, Ebrahim, Rosato, Antonio, Athari, Hassan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.05.2023
Témata:	Artificial neural network Dual-flash geothermal cycle Multi-objective grey wolf optimization Multi-stage waste management Polygeneration Transcritical CO2 cycle Multi-objective grey wolf optimization Dual-flash geothermal cycle Artificial neural network Polygeneration Multi-stage waste management Transcritical CO2 cycle
ISSN:	0957-5820
On-line přístup:	Získat plný text
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