Работы, цитирующие эту работу

Работ: 2

Работа: Modeling and performance assessment of a combined geothermal-ejector refrigeration system

1. A multi-heat recovery approach integrated with LNG regasification in a geothermal-driven multigeneration system: Techno-economic insights and machine learning-based optimization

   Djamel Ghernaout, Hakim S. Sultan Aljibori, Sarminah Samad +5

   СтатьяThermodynamic and Exergetic Analyses of Power and Cooling SystemsApplied Thermal Engineering2025Цитирований: 2

   ABIABI:AkademIndex/openalex/2025.article.000283

2. Machine learning-optimized geothermal multi-generation with DFOFC/ERC/RO/DHU for cooling/heating from low-to-medium temperature heat sources

   Yonghui Li, Ali Basem, Hyder H. Abed Balla +7

   СтатьяGeothermal Energy Systems and ApplicationsInternational Communications in Heat and Mass Transfer2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.017525