Energy saving strategy development in liquid desiccant dehumidifier by genetic algorithm

Wang, Xinli; Cai, Wenjian; Lu, Jiangang

doi:10.1109/iciea.2015.7334452

Cited by 1 publication

(1 citation statement)

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“…It is known as fitness function that allows each candidate to be quantitatively evaluated. Energy saving strategy in liquid desiccant dehumidification by using GA was studied [50]. Problem was solved as constrained nonlinear optimization problem to find the optimal control settings within the feasible range.…”

Section: Genetic Algorithmmentioning

confidence: 99%

Modeling and optimization of vacuumed regeneration process for liquid desiccant dehumidification system

Indrajith¹

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Since the last few decades the world has been facing global warming due to the increased percentage of atmospheric CO2. Much attention is therefore devoted to building air conditioning and, mechanical ventilation (ACMV) systems to provide a comfortable environment to occupants of residential houses and buildings. Liquid Desiccant Dehumidification System (LDDS) has gained much attention due to the possibility of combining secondary level energy sources like renewable energy and waste heat as its main energy source. However, the regeneration process of LDDS absorbs a vast amount of heat to vaporize water from the weak desiccant solution. With proper study and investigation nevertheless, challenges such as the requirement of high temperature heat sources, inefficiency of the regeneration process, and the complexity of combining renewable energy sources with the regeneration system can be overcome.

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Section: Genetic Algorithmmentioning

confidence: 99%

Modeling and optimization of vacuumed regeneration process for liquid desiccant dehumidification system

Indrajith¹

View full text Add to dashboard Cite

show abstract

Energy saving strategy development in liquid desiccant dehumidifier by genetic algorithm

Cited by 1 publication

References 20 publications

Modeling and optimization of vacuumed regeneration process for liquid desiccant dehumidification system

Modeling and optimization of vacuumed regeneration process for liquid desiccant dehumidification system

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