Robust multi-objective optimization with life cycle assessment of hybrid solar combined cooling, heating and power system

2021 ◽  
Vol 232 ◽  
pp. 113868
Author(s):  
Jiangjiang Wang ◽  
Yuan Zhou ◽  
Xutao Zhang ◽  
Zherui Ma ◽  
Yuefen Gao ◽  
...  
2018 ◽  
Vol 70 ◽  
pp. 01012
Author(s):  
Dominika Matuszewska ◽  
Marta Kuta ◽  
Jan Górski

This paper details the development of a systematic methodology to integrated life cycle assessment (LCA) with thermo-economic models and to thereby identify the optimal exploitation schemes of geothermal resources. Overall geothermal systems consist of a superstructure of geothermal exploitable resources, a superstructure of conversion technology and multiple demand profiles for Swiss city. In this paper, an enhanced geothermal system has been chosen as exploitable resources. The energy conversion technology used in modelling is an organic Rankine cycle, which can be used to supply heat and electricity. In the Swiss case four demand profiles periods are considered: summer, interseason, winter and extreme winter, the city Nyon serving for the example case study. The multi-objective optimization system, that uses an evolutionary algorithm, is employed to determine the optimal scheme for some of the prepared models, with exergy efficiency and environmental impact as objectives.


2019 ◽  
Vol 210 ◽  
pp. 121-133 ◽  
Author(s):  
Mozammel Mia ◽  
Munish Kumar Gupta ◽  
Jose Adolfo Lozano ◽  
Diego Carou ◽  
Danil Yu. Pimenov ◽  
...  

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