Can China's industrial sector achieve energy conservation and emission reduction goals dominated by energy efficiency enhancement? A multi-objective optimization approach

Energy Policy ◽  
2021 ◽  
Vol 149 ◽  
pp. 112108
Author(s):  
Yong He ◽  
Nuo Liao ◽  
Kunrong Lin
Keyword(s):  
Energy Efficiency ◽  
Energy Conservation ◽  
Emission Reduction ◽  
Industrial Sector ◽  
Optimization Approach ◽  
Efficiency Enhancement ◽  
Multi Objective Optimization ◽  
Multi Objective

Multi-Objective Optimization Approach for Improving Performance of Building

2009 ◽  
Vol 3 (3) ◽  
pp. 70-73
Author(s):  
A. Kamenders ◽  
A. Blumberga
Keyword(s):  
Energy Efficiency ◽  
Target Function ◽  
Complex Problem ◽  
Optimization Approach ◽  
Efficiency Measure ◽  
Multi Objective Optimization ◽  
Energy Efficiency Measures ◽  
Multi Objective ◽  
Energy Efficiency Measure ◽  
Efficiency Measures

Multi-Objective Optimization Approach for Improving Performance of Building Energy efficiency measures are different from energy efficiency and cost effectiveness perspective. For decision maker it is hard to make right decision about different energy efficiency measure combinations in building. It is a complex problem to choose the best energy efficiency measure combination as decision involves many different factors that should be taken in account. Decision on implementation of energy efficiency measure implementation usually depends on investment costs and pay back time. Standards like Latvian Building Code LBN 002-01 can't be used to achieve reasonable expenses in renovation of buildings. Therefore, in order to find the optimal energy-efficiency measures, it is necessary to carry out optimization taking all the variable parameters into account. In the paper target function was presented that gives ability of the multi-objective optimization approach to handle the problem of improving energy efficiency in buildings. Case study is used to demonstrate the feasibility of the approach. 104. series soviet type dwellings was analysed to optimized insulation thickness for external walls. Even if accord with the LBN 002-01 it is enough to use 7 cm thick isolation (λ-0,039 W/(m2K)) layers optimal insulation layer is 12 cm (λ-0,039 W/(m2K)).

Towards a multi-objective optimization approach for improving energy efficiency in buildings

2008 ◽  
Vol 40 (9) ◽  
pp. 1747-1754 ◽  
Author(s):  
Christina Diakaki ◽  
Evangelos Grigoroudis ◽  
Dionyssia Kolokotsa
Keyword(s):  
Energy Efficiency ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Multi Objective

scholarly journals Multi-Objective Optimization Approach for Energy Efficiency in Microgrids

2019 ◽  
Vol 52 (25) ◽  
pp. 477-482 ◽  
Author(s):  
Vassil G. Guliashki ◽  
Galia I. Marinova ◽  
Peter P. Groumpos
Keyword(s):  
Energy Efficiency ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Multi Objective

Multi-objective Optimization Approach to Meet Water, Energy, and Food Needs in an Arid Region Involving Security Assessment

2021 ◽  
Vol 9 (13) ◽  
pp. 4771-4790
Author(s):  
Xate Geraldine Sánchez-Zarco ◽  
Ramón González-Bravo ◽  
José María Ponce-Ortega
Keyword(s):  
Arid Region ◽  
Optimization Approach ◽  
Security Assessment ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Food Needs

scholarly journals Multi-Objective Multidisciplinary Design Optimization of a Robotic Fish System

2021 ◽  
Vol 9 (5) ◽  
pp. 478
Author(s):  
Hao Chen ◽  
Weikun Li ◽  
Weicheng Cui ◽  
Ping Yang ◽  
Linke Chen
Keyword(s):  
Design Optimization ◽  
Optimization Algorithm ◽  
Multidisciplinary Design Optimization ◽  
Robotic Fish ◽  
Multidisciplinary Design ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Cfd Method ◽  
The Individual

Biomimetic robotic fish systems have attracted huge attention due to the advantages of flexibility and adaptability. They are typically complex systems that involve many disciplines. The design of robotic fish is a multi-objective multidisciplinary design optimization problem. However, the research on the design optimization of robotic fish is rare. In this paper, by combining an efficient multidisciplinary design optimization approach and a novel multi-objective optimization algorithm, a multi-objective multidisciplinary design optimization (MMDO) strategy named IDF-DMOEOA is proposed for the conceptual design of a three-joint robotic fish system. In the proposed IDF-DMOEOA strategy, the individual discipline feasible (IDF) approach is adopted. A novel multi-objective optimization algorithm, disruption-based multi-objective equilibrium optimization algorithm (DMOEOA), is utilized as the optimizer. The proposed MMDO strategy is first applied to the design optimization of the robotic fish system, and the robotic fish system is decomposed into four disciplines: hydrodynamics, propulsion, weight and equilibrium, and energy. The computational fluid dynamics (CFD) method is employed to predict the robotic fish’s hydrodynamics characteristics, and the backpropagation neural network is adopted as the surrogate model to reduce the CFD method’s computational expense. The optimization results indicate that the optimized robotic fish shows better performance than the initial design, proving the proposed IDF-DMOEOA strategy’s effectiveness.

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