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

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.

scholarly journals Cost Optimum Design of Zero-Energy Residential Building

2019 ◽  
Author(s):  
Ario Bintang Koesalamwardi ◽  
Susy Fatena Rostiyanti
Keyword(s):  
Life Cycle ◽  
Greenhouse Gas ◽  
Life Cycle Cost ◽  
Greenhouse Gas Emission ◽  
Residential Building ◽  
Design Concept ◽  
Zero Energy ◽  
Gas Emission ◽  
Housing Design ◽  
Zero Energy Building

The continuous growth of population in sub-urban areas leads to increasing demand for mid-rise housing. Recent studies found that greenhouse gas emission in Indonesia continues to escalate at an alarming rate, and housing development is considered as one of the greenhouse gas contributors. Zero-Energy Residential Building, a highly energy efficient and low carbon housing design concept, is regarded as the answer for this environmental issue. Application of Zero-Energy Residential Building concept can reach almost zero sites electrical consumption and reduce greenhouse gas emission since this concept utilizes clean and renewable energy sources, e.g. solar cell, to generate electricity independently. However, this design concept has not been implemented widely since the utilization of solar panels, and other energy conservation components are still too expensive. This study is proposed to find out an optimum combination of design parameters that contribute to cost optimization housing design using sequential search algorithm. Comprehensive study literature and experiment using software are applied in this research. Hence, using the parameter combination in designing a mid-rise dense housing and Zero-Energy Building concept can generate optimum life cycle cost performance. As a result, the study concludes that the life cycle cost of optimized mid-rise Zero-Energy Building is better than the conventional mid-rise housing with annual electrical cost saving up to 98 percent.

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 A Methodology for Energy Simulation of Risedential Buildings: A Case Study for Amman

2018 ◽  
Vol 1 (1) ◽  
pp. 772-781
Author(s):  
Ahmad Altarabsheh ◽  
Ibrahim Altarabsheh ◽  
Sara Altarabsheh ◽  
Nisreen Rababaa ◽  
Ayat Smadi ◽  
...  
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Residential Buildings ◽  
Green Building ◽  
Green Buildings ◽  
Zero Energy ◽  
Zero Energy Building ◽  
Net Zero ◽  
Whole Life Cycle ◽  
Zero Energy Buildings

Green buildings have been gaining in popularity over the past few years in Jordan. This is attributed to environmental and financial reasons directly related to energy consumption and cost. Energy sector in Jordan faces two main challenges which are the fast growing of energy demand and the scarcity of resources to fulfill this demand. Green buildings can save energy by designing them as near Zero Energy Buildings, where they produce amount of energy almost equal the amount of energy they consume. In special cases green buildings can be designed as Net zero energy buildings, where they produce as much energy as they consume. Jordan government encourage people to adopt net zero green buildings by issuing the Renewable Energy and Energy Efficiency Law No. 13 of 2012, that allows selling excessive electricity to electricity companies. Despite these benefits of green buildings, they are not yet the norm in the building sector in Jordan. This can be attributed to the high construction cost of green building compared to traditional one. However, this may not be true if the whole life cycle cost of the building is considered, in which the cost not only include design and construction but also operation and maintenance as well. This paper aims to provide real life cycle cost analysis for a typical residential building in Jordan, and to search different effective building strategies and design scenarios that will lead to a successful near Zero Energy Building. The search will apply main green building strategies recommended for Jordan climatic zone. The outcome of this study is a list of best economically feasible design solutions and system selections that result in near Zero Energy Building in Jordan for residential buildings.

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.

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