Deep learning optimization of a combined CCHP and greenhouse for CO2 capturing; case study of Tehran-Reference-Cited by-同舟云学术

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Deep learning optimization of a combined CCHP and greenhouse for CO2 capturing; case study of Tehran

Published:2022-09 Issue: Volume:267 Page:115946
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Nasrabadi Adib Mahmoodi,Malaie Omid,Moghimi Mahdi,Sadeghi Shahrbanoo,Hosseinalipour Seyed Mostafa

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference50 articles.

1. Analyzing a self-managed CHP system for greenhouse cultivation as a profitable way to reduce CO2-emissions;Compernolle;Energy,2011

2. Laboratory research on combined cooling, heating and power (CCHP) systems;Fu;Energy Convers Manag,2009

3. Combined heat and power (CHP) as a possible method for reduction of the CO2 footprint of organic greenhouse horticulture;Vermeulen;Acta Hortic,2011

4. Energy, exergy, and economic evaluations of a CCHP system by using the internal combustion engines and gas turbine as prime movers;Abbasi;Energy Convers Manag,2018

5. Day-to-night heat storage in greenhouses: 3 Co-generation of heat and electricity (CHP);Seginer;Biosyst Eng,2018

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