• Proceedings of the KSR Conference
• /
• 2007.05a
• /
• pp.589-593
• /
• 2007

Due to sustainable development, international environmental regulations have been reinforced continuously. Especially, Kyoto protocol related to energy consumption affects to national production system seriously. Even if railroad is the most environmental- friendly transportation, it is necessary to improve its environment. Life cycle assessment (LCA) is a representative tool to evaluate the environment impacts of a product. In the EU's railroad companies, the recycling efficiency and the waste emissions of rolling stocks have improved considering their environment impacts with LCA from a design step. Also, the LCA system of Korean electric motor units has been developed to build an environmentally sound railroad as one of national transportation core technology R&D projects. Therefore, the introduction of LCA will be required to decrease environmental impacts released from rolling stocks in the future.

• Proceedings of the KSR Conference
• /
• 2007.11a
• /
• pp.969-973
• /
• 2007

There have been worldwide efforts to develop environmental-friendly transportation systems, which aim to solve the environmental issues such as pollution with the traffic congestion in downtown. For some developed countries, environmental indicators to estimate their environmental performances as well as eco-design technologies in the field of transportation have been already secured. In Korea, however, relatively fundamental studies which are insufficient to calculate quantitatively the environmental impacts have been performed. In this study, the life cycle assessment was introduced as one of methodologies to evaluate environmental performance and reduce environmental impacts of a bimodal tram system throughout its entire life cycle, including design, manufacture, operation and disuse steps.

• 한국지구물리탐사학회:학술대회논문집
• /
• 2003.11a
• /
• pp.518-521
• /
• 2003

LCA (Life Cycle Assessment), that unifies the scale of various environmental impacts, and simulated annealing are applied to optimizing electrolysis of wastewater from PCB (Printed Circuit Board) production. The changes of environmental impact can be quantified with LCA and the total changes of environmental impacts can be expressed as a function of power consumed, Cu recycled, $Cl_2$, NOx and SOx discharged through restriction of feasible reactions. In a single-variate condition, the environmental optimum can be easily obtained through plotting and comparing each environmental impact value. In 8V potentiostatic electrolysis, the lowest environmental impact can be achieved after 90min. To optimize a multi-variate conditional system, simulated annealing can be applied and this can give the quick and near optimum in complex systems, where many input and output materials are involved, through experimentally measured values without a theoretical modeling.

• Korean Journal of Organic Agriculture
• /
• v.18 no.1
• /
• pp.1-19
• /
• 2010

This paper evaluates potential environmental impacts and external costs on rice production of Korea. The investigation is based on LCA in agricultural area which estimates inputs and outputs of rice production system in quantitative way. The results show that environmental impacts on organic rice(4.49E-08 DALY/kg) is level on 4.5% out of conventional rice(9.97E-07 DALY/kg). The external costs of organic and conventional rice are 4.04won/kg and 89.52won/kg respectively. The balance of both organic and conventional rice which is 85.48won/kg represents monetary value on improvement of environmental effects as producing organic rice.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2002.10a
• /
• pp.780-783
• /
• 2002

This paper proposes an approximate LCA methodology fur the conceptual design stage by grouping products according to their environmental characteristics and by mapping product attributes Into impact driver (ID) index. The relationship Is statistically verified by exploring the correlation between total impact indicator and energy impact category. Then an artificial neural network model is developed to predict an approximate LCA of grouping products in conceptual design stage. The training is generalized by using identified product attributes for an ID In a group as well as another product attributes for another IDs in other groups. The neural network model with back propagation algorithm is used and the results are compared with those of multiple regression analysis. The proposed approach does not replace the full LCA but it would give an approximate LCA results for design concepts.

• Korean Journal of Organic Agriculture
• /
• v.21 no.3
• /
• pp.305-319
• /
• 2013

In this study, it is intended that utilize the LCA (Life Cycle Assessment) method, to evaluate the environmental impact of wood pellet manufacturing facility. As mentioned above, wood pellet manufacturing facility of 20 has produced wood pellets as a raw material sawdust and wood in our country. In this study, in order to feature manufacturing process of wood pellets that resemble almost necessary to analyze evenly size and characteristics of various equipment whether these reasonable, the characteristics of the equipment may be different, the production of 20 places I surveyed the facility one central timber distribution center one large scale most of the equipment.

• Proceedings of the Korean Reliability Society Conference
• /
• 2000.04a
• /
• pp.213-222
• /
• 2000

In present study, a stochastic model is developed for the low cycle fatigue life prediction and reliability assessment of 316L stainless steel under variable multiaxial loading. In the proposed model, fatigue phenomenon is considered as a Markov process, and damage vector and reliability are defined on every plane. Any low cycle fatigue damage evaluating method can be included in the proposed model. The model enables calculation of statistical reliability and crack initiation direction under variable multiaxial loading, which are generally not available. In present study, a critical plane method proposed by Kandil et al., maximum tensile strain range, and von Mises equivalent strain range are used to calculate fatigue damage. When the critical plane method is chosen, the effect of multiple critical planes is also included in the proposed model. Maximum tensile strain and von Mises strain methods are used for the demonstration of the generality of the proposed model. The material properties and the stochastic model parameters are obtained from uniaxial tests only. The stochastic model made of the parameters obtained from the uniaxial tests is applied to the life prediction and reliability assessment of 316L stainless steel under variable multiaxial loading. The predicted results show good accordance with experimental results.

• Computational Structural Engineering : An International Journal
• /
• v.2 no.1
• /
• pp.19-23
• /
• 2002

A reliability-based cost-benefit model for the risk management of oil platforms in the formulation of optimal decisions based on life-cycle consideration is proposed. The model is based on structural risk assessments and the integration of social issues and economics into the management decision process. Structural risks result from the platform's exposure to the random environmental loading associated with the offshore site where it is located. Several alternative designs of a typical platform are proposed and assessed from the cost-effectiveness viewpoint. This assessment is performed through the generation of cost/benefit relationships that are used, later on, to select the optimal design.

• Journal of Hydrogen and New Energy
• /
• v.32 no.5
• /
• pp.417-429
• /
• 2021

Due to fossil fuel depletion and environmental pollution, H2 production from organic waste has received an increased attention. In this study, we present an integrated process for the H2 production from biogas and evaluate the economic feasibility and sustainability via rigorous techno-economic analysis (TEA) and life-cycle assessment (LCA). Through the TEA, we determine the minimum H2 selling price using discounted cash flow analysis and investigate the main cost drivers. The environmental impact of the proposed process is quantified via LCA.

• International Journal of Naval Architecture and Ocean Engineering
• /
• v.12 no.1
• /
• pp.636-643
• /
• 2020

This study developed a method for simulating greenhouse gas (GHG) emissions considering changes in conditions that may occur during the actual operation of small ships. Additionally, we analyzed and compared the results of the proposed method with that of existing emission simulations according to life-cycle assessment (LCA), thus verifying the proposed method's effectiveness. Through the results of the study, we confirmed that the proposed method improves the simulation by considering emissions due to ship operation, whereas existing methods focus on emissions caused by raw material production. Additionally, the proposed method could identify and quantify the relationship between changes in operating conditions and GHG emissions. We expect this GHG emissions simulation technique to help improve the environmental performance of ships in the future.