Life cycle assessment multi-objective optimization and deep belief network model for sustainable lightweight aggregate concrete

2021 ◽  
pp. 128554
Author(s):  
F. Dabbaghi ◽  
A. Tanhadoust ◽  
M.L. Nehdi ◽  
S. Nasrollahpour ◽  
M. Dehestani ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Network Model ◽  
Lightweight Aggregate ◽  
Deep Belief Network ◽  
Lightweight Aggregate Concrete ◽  
Multi Objective Optimization ◽  
Aggregate Concrete ◽  
Belief Network ◽  
Multi Objective

Life Cycle Assessment of Lightweight Aggregate Concrete Block

2014 ◽  
Vol 599 ◽  
pp. 66-69
Author(s):  
Li Li Zhao ◽  
Yu Liu ◽  
Zhi Hong Wang ◽  
Jia Ping Cui ◽  
Quan Jiang ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Environmental Impact ◽  
Lightweight Aggregate ◽  
Concrete Block ◽  
Lightweight Aggregate Concrete ◽  
Environmental Load ◽  
Impact Categories ◽  
Aggregate Concrete ◽  
Environmental Impact Categories

The environmental impact of lightweight aggregate concrete block, which use fly ash ceramic, was analyzed. The results show that AP and GWP are the most significant environmental impact categories accounting for 30% and 25% of the total environmental impact respectively. The results also show that, in different life cycle phases, the environmental load of the lightweight aggregate concrete block is mainly caused by the production of cement, which accounts for 42% of the total environmental impact.

scholarly journals Multi-objective optimization of ORC geothermal conversion system integrated with life cycle assessment

2018 ◽  
Vol 70 ◽  
pp. 01012
Author(s):  
Dominika Matuszewska ◽  
Marta Kuta ◽  
Jan Górski
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Geothermal System ◽  
Geothermal Systems ◽  
Multi Objective Optimization ◽  
Geothermal Resources ◽  
Multi Objective ◽  
Conversion Technology

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.

scholarly journals Parallel design of sparse deep belief network with multi-objective optimization

2020 ◽  
Vol 533 ◽  
pp. 24-42
Author(s):  
Yangyang Li ◽  
Shuangkang Fang ◽  
Xiaoyu Bai ◽  
Licheng Jiao ◽  
Naresh Marturi
Keyword(s):  
Deep Belief Network ◽  
Multi Objective Optimization ◽  
Belief Network ◽  
Parallel Design ◽  
Multi Objective

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 ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Power System ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Combined Cooling

Multi-objective optimization and life cycle assessment of eco-friendly cryogenic N2 assisted turning of Ti-6Al-4V

2019 ◽  
Vol 210 ◽  
pp. 121-133 ◽  
Author(s):  
Mozammel Mia ◽  
Munish Kumar Gupta ◽  
Jose Adolfo Lozano ◽  
Diego Carou ◽  
Danil Yu. Pimenov ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Multi Objective Optimization ◽  
Multi Objective
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