scholarly journals Approaches to Multi-Objective Optimization and Assessment of Green Infrastructure and Their Multi-Functional Effectiveness: A Review

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2714
Author(s):  
Jia Wang ◽  
Jiahong Liu ◽  
Hao Wang ◽  
Chao Mei
Keyword(s):  
Life Cycle ◽  
Green Infrastructure ◽  
Life Cycle Cost ◽  
Objective Assessment ◽  
Mathematical Representation ◽  
Future Research ◽  
Final Decision ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Integrated Benefits

Green infrastructure (GI) is a contemporary area of research worldwide, with the implementation of the findings alleviating issues globally. As a supplement and alternative to gray infrastructure, GI has multiple integrated benefits. Multi-objective GI optimization seeks to provide maximum integrated benefits. The purpose of this review is to highlight the integrated multifunctional effectiveness of GI and to summarize its multi-objective optimization methodology. Here, the multifunctional effectiveness of GI in hydrology, energy, climate, environment, ecology, and humanities as well as their interrelationships are summarized. Then, the main components of GI multi-objective optimization including the spatial scale application, optimization objectives, decision variables, optimization methods and optimization procedure as well as their relationships and mathematical representation are examined. However, certain challenges still exist. There is no consensus on how to measure and optimize the integrated multi-functional effectiveness of GI. Future research directions such as enhancing integrated multi-objective assessment and optimization, improving life cycle analysis and life cycle cost, integrating benefits of GI based on future uncertainties and developing integrated green–gray infrastructure are discussed. This is vital for improving its integrated multifunctional effectiveness and the final decision-making of stakeholders.

Research on the Multi-Objective Optimization Model of System-Level BIT Testability Index Determination

2011 ◽  
Vol 121-126 ◽  
pp. 2223-2227 ◽  
Author(s):  
Chun Sheng Zhu ◽  
Qi Zhang ◽  
Fan Tun Su ◽  
Hong Liang Ran
Keyword(s):  
Genetic Algorithm ◽  
Life Cycle ◽  
Mathematical Models ◽  
Optimization Model ◽  
System Reliability ◽  
Life Cycle Cost ◽  
System Level ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Life Circle

By weighing reliability, maintainability, availability and life-cycle cost of equipment which are influenced by testability，the testability indexes of system level BIT are determined on the basis of maximum system reliability & maintainability and minimum the life-circle cost. The influence mathematical models of system reliability, maintainability, availability and life-circle cost are established. According to these mathematical models, the multi-objective optimization model of system-level BIT testability indexes is established. The multi-objective optimization model is solved using Non-dominated Sorting Genetic Algorithm II, and the validity of the multi-objective optimization model is proved through an example.

Interactive evolutionary multi-objective optimization and decision-making on life-cycle seismic design of bridge

2018 ◽  
Vol 21 (15) ◽  
pp. 2227-2240 ◽  
Author(s):  
Yu-Jing Li ◽  
Hong-Nan Li
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Seismic Design ◽  
Life Cycle Cost ◽  
Pareto Front ◽  
Optimization Procedure ◽  
Multi Objective Optimization ◽  
Seismic Capacity ◽  
Preference Information ◽  
Multi Objective

Considering future seismic risk and life-cycle cost, the life-cycle seismic design of bridge is formulated as a preference-based multi-objective optimization and decision-making problem, in which the conflicting design criteria that minimize life-cycle cost and maximize seismic capacity are treated simultaneously. Specifically, the preference information based on theoretical analysis and engineering judgment is embedded in the optimization procedure. Based on reasonable displacement ductility, the cost preference and safety preference information are used to progressively construct value function, directing the evolutionary multi-objective optimization algorithm’s search to more preferred solutions. The seismic design of a reinforced concrete pier is presented as an application example using the proposed procedure for the global Pareto front corresponding with engineering designers’ preference. The results indicate that the proposed model is available to find the global Pareto front satisfying the corresponding preference and overcoming the difficulties of the traditional multi-objective optimization algorithm in obtaining a full approximation of the entire Pareto optimal front for large-dimensional problems as well as cognitive difficulty in selecting one preferred solution from all these solutions.

scholarly journals Life cycle cost and life cycle energy in zero-energy building by multi-objective optimization

2021 ◽  
Vol 7 ◽  
pp. 5612-5626
Author(s):  
Chen She ◽  
Rui Jia ◽  
Bei-Ning Hu ◽  
Ze-Kun Zheng ◽  
Yi-Peng Xu ◽  
...  
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Multi Objective Optimization ◽  
Zero Energy ◽  
Multi Objective ◽  
Zero Energy Building

scholarly journals A multi-objective optimization analysis of passive energy conservation measures in a Toronto house.

2021 ◽  
Author(s):  
Matthew Steven Tokarik
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
High Performance ◽  
Energy Savings ◽  
Building Performance ◽  
Multi Objective Optimization ◽  
Active Systems ◽  
Multi Objective ◽  
Energy Conservation Measures ◽  
Building Practice

This study presents a multi-objective optimization environment in which passive energy conservations measures of a high performance house in Toronto are evaluated. The optimization environment was created using the jEPlus software suite where the case study house acted as the reference building. The study house simulation model was calibrated using a data-driven procedure, and acceptable CV(RSME) and NMBE tolerances were reached in accordance with ASHRAE calibration requirements. The optimization varied passive energy efficiency parameters in search of configurations yielding optimal building performance and life cycle cost. The optimization results showed that energy savings of 33% relative to building code minimum were justified at the point of minimal life cycle cost via passive energy saving measures alone before considering active systems. These results suggest that improved thermal envelopes are economically advantageous with good building practice. However, they suggest that the current Passive House standard does not coincide with the economic minimum for the local economic and environmental climate.

Fatigue Life Assessment and Lifetime Management of Aluminum Ships Using Life-Cycle Optimization

2012 ◽  
Vol 56 (02) ◽  
pp. 91-105
Author(s):  
Kihyon Kwon ◽  
Dan M. Frangopol
Keyword(s):  
Life Cycle ◽  
Fatigue Damage ◽  
Life Cycle Cost ◽  
High Speed ◽  
Optimization Problem ◽  
Life Assessment ◽  
Maintenance Cost ◽  
Multi Objective Optimization ◽  
Fatigue Reliability ◽  
Multi Objective

The development of aluminum ship structures has been promoted in the context of the rapid evolution of high-speed and light-weight vessels. Under the repeated and/or fluctuating application of stresses during voyages, fatigue damage of structural ship members is accumulated. For this reason, fatigue reliability analysis has to be conducted for assessing and predicting lifetime performance of aluminum ships. This assessment offers the opportunity to optimally perform the lifetime ship structural management planning. To allocate limited financial resources required to balance the lifetime reliability of ship structural details and the life-cycle cost, single-or multi-objective optimization can be used. The multi-objective optimization problem has several competing objectives such as:(minimizing the life-cycle maintenance cost,maximizing the fatigue reliability of details with welded attachments, andminimizing the fatigue damage. The S-N (stress vs. number of cycles) approach and available sea loading information are used to evaluate the time-dependent fatigue reliability. In this paper, the estimated fatigue reliability is incorporated into a life-cycle cost optimization problem to find the optimal inspection and repair interventions. The proposed approach is illustrated on an aluminum ship detail.

scholarly journals A multi-objective optimization analysis of passive energy conservation measures in a Toronto house.

2021 ◽  
Author(s):  
Matthew Steven Tokarik
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
High Performance ◽  
Energy Savings ◽  
Building Performance ◽  
Multi Objective Optimization ◽  
Active Systems ◽  
Multi Objective ◽  
Energy Conservation Measures ◽  
Building Practice

This study presents a multi-objective optimization environment in which passive energy conservations measures of a high performance house in Toronto are evaluated. The optimization environment was created using the jEPlus software suite where the case study house acted as the reference building. The study house simulation model was calibrated using a data-driven procedure, and acceptable CV(RSME) and NMBE tolerances were reached in accordance with ASHRAE calibration requirements. The optimization varied passive energy efficiency parameters in search of configurations yielding optimal building performance and life cycle cost. The optimization results showed that energy savings of 33% relative to building code minimum were justified at the point of minimal life cycle cost via passive energy saving measures alone before considering active systems. These results suggest that improved thermal envelopes are economically advantageous with good building practice. However, they suggest that the current Passive House standard does not coincide with the economic minimum for the local economic and environmental climate.

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