Conceptual model for LCC-based LCCO2 analysis of apartment buildings

Kim, Sunkuk; Lee, Sungho; Na, Youngju; Kim, Jeong Tai

doi:10.1016/j.enbuild.2013.05.016

Cited by 25 publications

(18 citation statements)

References 4 publications

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“…The global construction sector is an energy and resource-guzzling industry that accounts for 30% of energy and 40% of raw materials consumption [26]. Korea has four different seasons, so an enormous amount of energy is consumed by cooling and heating to maintain a pleasant indoor environment in this country.…”

Section: Resultsmentioning

confidence: 99%

Comparative analysis of energy related performance and construction cost of the external walls in high-rise residential buildings

Lee

Kim

2015

Energy and Buildings

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Section: Resultsmentioning

confidence: 99%

Comparative analysis of energy related performance and construction cost of the external walls in high-rise residential buildings

Lee

Kim

2015

Energy and Buildings

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“…Therefore, at present, conducting an LCA is expensive in terms of time and financial cost, and certifications using the building LCA are extremely rare. Hence, using the results of this research, which focuses on establishing the main building materials used in non-residential buildings, efficient support can be achieved in terms of the cost and time while performing life cycle assessment at the early construction stage [37]. Furthermore, by analyzing the main building materials, which is the aim of this research, it becomes possible to analyze environmental effect assessment and possibility from the point of view of the building life cycle and to reduce the environmental effects per process markedly by using it.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Primary Building Materials in Support of G-SEED Life Cycle Assessment in South Korea

2018

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Abstract:In recent years, much research has been conducted internationally to quantitatively evaluate the environmental impact of buildings in order to reduce greenhouse gas emissions and address associated environmental problems. With this in mind, the Green Standard for Energy and Environmental Design (G-SEED) in South Korea was revised in 2016. However, the various possible evaluation methods make it difficult to conduct building life cycle assessment. Moreover, compared to research on residential buildings, life cycle assessment research on non-residential buildings is scarce. Therefore, this study analyzes primary building materials for life cycle assessment of current non-residential buildings to support Korean G-SEED requirements. Design documents for various non-residential buildings are obtained, and the types and numbers of materials used in production are determined. Next, the primary building materials contributing high cumulative weight based on the ISO14040 series of standards are analyzed. We then review the most commonly-used building materials while considering non-residential building types and structures. In addition, construction material reliability is evaluated using the environmental impact unit value. With our results, by suggesting the primary building materials in non-residential buildings, efficient life cycle assessment of non-residential buildings is possible in terms of time and cost.

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“…LCC provides a comprehensive and consistent evaluation for discerning the true economic benefits of the building [44]. Generally, the indicator is formulated as the following equation [45]:…”

Section: Design Variables and Objective Functionsmentioning

confidence: 99%

Multi-Objective Optimization for Energy Performance Improvement of Residential Buildings: A Comparative Study

Pan

Xue

et al. 2017

Energies

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Numerous conflicting criteria exist in building design optimization, such as energy consumption, greenhouse gas emission and indoor thermal performance. Different simulation-based optimization strategies and various optimization algorithms have been developed. A few of them are analyzed and compared in solving building design problems. This paper presents an efficient optimization framework to facilitate optimization designs with the aid of commercial simulation software and MATLAB. The performances of three optimization strategies, including the proposed approach, GenOpt method and artificial neural network (ANN) method, are investigated using a case study of a simple building energy model. Results show that the proposed optimization framework has competitive performances compared with the GenOpt method. Further, in another practical case, four popular multi-objective algorithms, e.g., the non-dominated sorting genetic algorithm (NSGA-II), multi-objective particle swarm optimization (MOPSO), the multi-objective genetic algorithm (MOGA) and multi-objective differential evolution (MODE), are realized using the propose optimization framework and compared with three criteria. Results indicate that MODE achieves close-to-optimal solutions with the best diversity and execution time. An uncompetitive result is achieved by the MOPSO in this case study.

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Conceptual model for LCC-based LCCO2 analysis of apartment buildings

Cited by 25 publications

References 4 publications

Comparative analysis of energy related performance and construction cost of the external walls in high-rise residential buildings

Comparative analysis of energy related performance and construction cost of the external walls in high-rise residential buildings

Analysis of the Primary Building Materials in Support of G-SEED Life Cycle Assessment in South Korea

Multi-Objective Optimization for Energy Performance Improvement of Residential Buildings: A Comparative Study

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