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This technology is an asphalt concrete production system designed to reduce air pollutant emissions. It consists of a burner, a front-end recycling dryer that indirectly heats reclaimed asphalt pavement using combustion gases, and a back-end virgin material dryer that directly heats new materials using the exhaust gases.
Conventional asphalt production involves directly heating reclaimed asphalt, which generates significant air pollutants and makes it difficult to simultaneously improve thermal efficiency and pollutant removal rates.
By indirectly heating reclaimed asphalt with combustion gases through heat pipes and reusing the exhaust gases to heat virgin materials, this technology can be applied to the asphalt production process to reduce air pollutant generation and enhance removal efficiency.
This technology is a sustainability assessment device that derives the probability distribution of input quantities for building materials and energy sources, and calculates the probability distribution of environmental impact assessment values using Monte Carlo simulation to determine the probability distribution of the environmental impact index.
Life cycle assessment of buildings involves uncertainties in factors such as material input quantities, making it difficult to represent reliability with a single value and challenging to assess sustainability probabilistically.
By calculating the probability distribution of assessment values using input quantity probability distributions and Monte Carlo simulation, this technology can be applied to building sustainability assessments to provide a probabilistic index that reflects uncertainty.
This technology is a sustainability assessment device that derives environmental, cost, and social impact indices by storing coefficients for building materials and energy sources, calculating life cycle assessment values, and dividing them by reference values.
Building sustainability requires consideration of not only environmental factors but also cost and social impacts; however, there has been a challenge in integrating these into a single index for quantitative assessment.
By calculating and integrating assessment values across these three areas as indices relative to reference values, this technology can be applied to building sustainability assessments to quantitatively evaluate environmental, cost, and social impacts simultaneously.
This technology is an automated life cycle assessment device that receives building material codes, stores environmental impact factors by material and energy source, calculates environmental scores for each material, and selects key building materials based on their contribution ratio.
Evaluating the life cycle environmental impact of a building requires calculating the impact of numerous materials, which has historically made it difficult to efficiently automate the selection of key materials for assessment.
By calculating environmental scores for each material and automatically selecting those with the highest contribution, this technology can be integrated into building life cycle assessment systems to automate and streamline the evaluation process.
This invention was developed with support from the Ministry of Science and ICT’s Center for Durability Innovation in Construction Structures.
This technology is an admixture that imparts water repellency to cement mortar or concrete by impregnating natural zeolite powder with a water-based water repellent through immersion and drying, and then incorporating it into the mixture.
To provide water repellency within concrete, the water-repellent agent must be stably contained; however, existing methods often suffer from the loss of active ingredients, making it difficult to ensure a lasting effect.
By impregnating and drying porous natural zeolite with active water-repellent ingredients, this technology allows the admixture to provide consistent and long-lasting water repellency from within the concrete.
This invention was developed with support from the Engineering Research Center for Durability Innovation of Construction Structures, funded by the Ministry of Science and ICT.
This technology is a predictive device that calculates and stores fine dust emission factors for each type of construction equipment, generates activity scenarios based on design information, and calculates the total fine dust emissions at construction sites.
Fine dust at construction sites varies significantly depending on the type of equipment and its activity, making it difficult to accurately predict emissions by accounting for both direct and fugitive sources.
By calculating and aggregating emissions for each piece of equipment using emission factors that combine direct and fugitive emission factors, this technology can be applied to construction site environmental management to predict total fine dust emissions.
This invention was developed with support from the Ministry of Land, Infrastructure and Transport for the development of an IoT-based integrated platform for predicting and managing fine dust at construction sites.
