PURPOSES : In this study, energy-consuming processes in asphalt plants were evaluated, and the drying and mixing processes were characterized using a thermal equilibrium equation-based model to quantitatively estimate the amount of energy consumed during the production of mixtures in asphalt concrete plants. METHODS : An energy consumption model based on the thermal equilibrium equation was used to estimate the energy consumption of the aggregate drying process that consumes the maximum energy; the energy consumed for material transportation, storage, and operation of other facilities was cited from the literature. The results were compared with the actual results obtained for recycled hot asphalt mixtures and recycled warm mix asphalt mixtures, and a sensitivity analysis was performed by varying the conditions. RESULTS : An analysis of the main processes required to produce asphalt mixtures showed that the water content had the largest impact on energy consumption (approximately 80%). This quantitatively supports the opinion of field practitioners that maximum energy is consumed during aggregate drying. Although some discrepancies were observed, the results were found to be reasonable and within the range of typical measurements. CONCLUSIONS : The thermal energy consumption estimation model provides consistent results that reflect the characteristics of the mixture and can be used to derive the thermal energy consumption rates for individual materials, such as aggregates and binders. This can be used to identify the priorities for process optimization within a plant.

사물인터넷(IoT) 기술을 활용한 전력 사용량 모니터링은 스마트팜 운영비 절감 기술 개발을 위한 기초자료로 필요성이 부각되고 있다. 본 연구에서는 멜론 생산 스마트팜 운영 중 실시간 전력사용량 모니터링 시스템을 설치한 예를 소개하고 이 를 이용하여 수집된 데이터를 실시간으로 활용하는 방법을 제 안한다. 전력사용량 모니터링 시스템의 실증을 위하여 멜론 스마트팜에서 3개월의 멜론 재배기간 동안 보일러, 양분분배 시스템, 자동제어기, 순환팬, 보일러제어기, 기타 IoT 관련 유 틸리티 등 스마트팜 시설에서 사용하는 개별 전원 기구들의 전력사용량 데이터를 수집하였다. 모니터링 결과를 이용하여 전기에너지 소비패턴의 예시를 분석하고, 측정 데이터를 최 적으로 활용하기 위해 필요한 고려사항을 제시하였다. 본 논 문은 전력사용량 모니터링 시스템을 새로이 구축하고자 하는 유저들에게 기술적 진입장벽을 낮추고 생성된 데이터 활용 시 시행착오를 줄이는 데 유용한 자료가 될 것으로 사료된다.

This study evaluated the perception, consumption behavior, and optional attributes of Korean, Chinese, and U.S. consumers of energy bar products. Data were compared and analyzed by surveying 300 consumers in each country. Significant differences were observed in preference for energy bars according to their nationality, in the order China, the U.S., and Korea. Perception of taste, types and dietary suitability of the products ranked lower for Korean consumers, as compared to consumers of the United States and China. The order dietary fiber, protein, and calcium were the sought-after nutritional requirements of the products. The demand for protein was significantly higher in the U.S. Calcium demand was low in the United States and China, but was very high in Korea, which could be attributed to the low calcium intake of Koreans. Other optional attributes which were closely associated with the purchase and re-purchase decision, included price, taste and delivery period. All three factors were recognized as important options in Korea, whereas awareness of packaging/ appearance and brand was not. The taste, nutrients and price in the U.S. ranked high as important optional attributes, while the packaging, external and expiration dates were recognized as low. Unlike Korea and the U.S., important optional attributes for Chinese consumers were determined in the order expiration date, taste, and nutrients, and showed low perception for packaging, appearance, weight, counts, and prices. Evaluating the preference for the main and secondary ingredients, Koreans preferred nuts over grains, Americans preferred dried fruits over nuts, and Chinese preferred nuts and grains; both Korean and American consumers had low preference for dried vegetables. The preference for chocolate was low in Korea and China, whereas preference for jelly was high in China as compared to Korea and the U.S. The intention of purchasing energy bars was significantly lower in Korea than in the U.S. and China. A variety of nutritious functional bars have recently been distributed and sold in Korea, but they are mostly produced in the U.S., which is the largest producer and consumer worldwide. Taken together, results of this study indicate that the demand for nutritional enhancement and preferred materials vary according to the nationality. Hence, it is necessary to develop products that reflect these criteria. Further research is required to analyze the relationship between preference and consumption behavior for each material product developed in the future.

In this study, the energy use of buildings was compared and analyzed by using weather data predicted with machine running techniques. Python was used as a predictive program to predict weather data and TRNSYS was used to simulate the energy usage of buildings. For weather forecasting, weather data from 1 August to 7 August were studied to forecast ambient air temperature and solar radiation. The lowest error came in seven days, with the outside air temperature standing at 1.8 percent and the solar radiation at 2.4 percent. The energy use of the building was simulated by using weather data predicted through the 7 days learning data with the lowest error. As a result , the error rate of cooling energy use was 1.92%, the sum of cooling energy and lighting energy use was 1.79%, and the building control by using predicted weather data didn’t show a big difference with just control.

Desalination plants are generally studied with higher operating costs compared to water supply facilities. This study was conducted to reduce the cost of water production and to preserve existing water resources. Therefore, the purpose of this study was to utilize the control valves to increase maximum efficiency, thereby reducing the power of the pumps and operating costs. Specific energy consumption was shown to reduce the process operating power by up to 1.7 times from 6.17 to 3.55 kWh/m3 based on seawater reverse osmosis 60 bar. In addition, the water intake process was divided into pre, inter, and post-according to the use method of blasting, and the water treatment process was divided into pre, inter, and post blending. In order to reduce power consumption, the blending process was combined to operate the facility, which resulted in the reduction of power consumption in the order post > pre-inter> inter blending.

In this study, we proposed a model for forecasting power energy demand by investigating how outside temperature at a given time affected power consumption and. To this end, we analyzed the time series of power consumption in terms of the power spectrum and found the periodicities of one day and one week. With these periodicities, we investigated two time series of temperature and power consumption, and found, for a given hour, an approximate linear relation between temperature and power consumption. We adopted an exponential smoothing model to examine the effect of the linearity in forecasting the power demand. In particular, we adjusted the exponential smoothing model by using the variation of power consumption due to temperature change. In this way, the proposed model became a mixture of a time series model and a regression model. We demonstrated that the adjusted model outperformed the exponential smoothing model alone in terms of the mean relative percentage error and the root mean square error in the range of 3%~8% and 4kWh~27kWh, respectively. The results of this study can be used to the energy management system in terms of the effective control of the cross usage of the electric energy together with the outside temperature.

Experiments of local cooling and heating on crown and root zone of forcing cultivation of strawberry ‘Seolhyang’ using heat pump and root pruning before planting were conducted. During the daytime, the crown surface temperature of the crown local cooling treatment was maintained at 18 ~ 22oC. This is suitable for flower differentiation, while those of control and root zone local cooling treatment were above 30oC. Budding rate of first flower clusters and initial yields were in the order of crown local cooling, root zone local cooling and control in root pruning plantlet and non pruning plantlet, except for purchase plantlet. Those of root pruning plantlet were higher than those of non pruning plantlet. These trends were evident in the yield of the first flower cluster until February 14, 2018, and the effect of local cooling and root pruning decreased from March 9, 2018. The budding rates of the second flower cluster according to the local cooling and root pruning treatments were not noticeable compared to first flower cluster but showed the same tendency as that of first flower cluster. In the heating experiment, root zone local heating(root zone 20oC+inside greenhouse 5oC) and crown local heating(crown 20oC+inside greenhouse 5oC) saved 59% and 65% of heating fuel, respectively, compared to control(inside greenhouse 9oC). Considering the electric power consumption according to the heat pump operation, the heating costs were reduced by 55% and 61%, respectively.

Chlor-alkali (CA) membranes as key materials to generate chlorine gas and sodium hydroxide are composed of sulfonic acid layer (S-layer) and carboxylic acid layer (C-layer) to provide fast sodium ion transport and slow hydroxide ion diffusion, respectively. Aciplex F, a representative CA membrane is made in a double layer form via thermal adhesion of both layers after each single layer film is independently fabricated. Unfortunately, the membrane fabrication induces delamination particularly in their interface as a result of hydroxide ion diffusion occurring during CA operation, leading to rapid increase in electrochemical overpotential. In this study, selective chemical conversion technique was developed to solve the delamination issue. Their effectiveness was proved by applying the same concept to a wide range of PFSA membrane.

본 연구는 역삼투 해수담수화 플랜트의 실 데이터 분석을 통해 에너지 소모를 줄이는 방안을 제안한다. 이를 위해 10,000m3/d 이상의 플랜트를 대상으로 70여개의 데이터를 수집하고 분석하였다. 역삼투 해수담수화 플랜트의 에너지 소모는 에너지회수장치 발전으로 인해 크게 감소하였으나 각 요인에 따라 다른 값을 보였다. 에너지 소모는 유입수 수질에 영향을 받고, 높은 수질의 생산수를 얻기 위해선 더 많은 에너지가 소모됨을 확인하였다. 또한, 플랜트 규모가 커지면 에너지 소모가 줄어든다고 알려져 있으나 반드시 그런 것은 아니며, 역삼투시스템 운영 시 에너지 소모가 최소가 되는 회수율이 있음을 알아냈다. 마지막으로 에너지 소모와 관련된 요인을 정리하고 이를 바탕으로 저에너지 소모를 위한 3가지 방안을 제시한다.

Saline water electrolysis (SWE) is an electrochemical technology to directly generate valued chemicals such as chlorine gas (Cl2), hydrogen (H2), and sodium hydroxide (NaOH) by applying electric energy. The key materials in SWE are cation exchange membranes with high selectivity to sodium ions under chemically harsh SWE conditions. The representative SWE membranes are perfluorinated double layered membranes composed of perfluorinated sulfonic acid layer and carboxylic acid layer to transport sodium ions rapidly and to prevent the passage of hydroxide ions, respectively. The commercially available membranes are, however, suffering from delamination issues occurring in their interface. In this presentation, delamination-free membrane fabrication processes will be addressed.

In this study, we utilize the cross and partial correlation analyses in order to investigate the dependence of power energy consumption on the temperature. To this end, we use a time series data that consists of three attributes : an hourly measured electric power consumption, temperature, and humidity. We, in particular, divide the yearly data into monthly base, and estimate the cross correlation coefficients between all possible pairs of attributes for each monthly based data. We found that temperature and power consumption are negatively correlated in the winter; positively correlated in the summer. A similar trend was found between humid and power consumption. This implies that when temperature or humidity is relatively high or low, the power consumption increases due to the cooling and heating system at work. In contrast, the correlation between temperature and humid behaves differently from those between temperature and power consumption. These results can be used to effectively manage the power system.

In this paper, we propose an Elman recurrent neural network to predict and analyze a time series of gas energy consumption in an air handling unit. To this end, we consider the volatility of the time series and demonstrate that there exists a correlation in the time series of the volatilities, which suggests that the gas consumption time series contain a non-negligible amount of the non-linear correlation. Based on this finding, we adopt the Elman recurrent neural network as the model for the prediction of the gas consumption. As the simplest form of the recurrent network, the Elman network is designed to learn sequential or time-varying pattern and could predict learned series of values. The Elman network has a layer of “context units” in addition to a standard feedforward network. By adjusting two parameters in the model and performing the cross validation, we demonstrated that the proposed model predicts the gas consumption with the relative errors and the average errors in the range of 2%~5% and 3kWh~8kWh, respectively. The results of this study can be used to the energy management system in terms of the effective control of the cross usage of the electric and the gas energies.

분리막은 최초 개발 이후 소비자의 요구에 부합하기 위해 지속적으로 개발되어 왔으며 그 과정 중 혁신적인 기술 개발에 의해 상업적 적용과 패러다임의 변화가 이루어져 왔다. Roeb & Sourirajan의 비대칭막 개발 및 Cadotte의 복합막 개발, Yamamoto 의 침지막의 개발은 기존 분리막의 틀을 넘어서 상업적 적용과 대량생산을 가능하게 하는 계기가 되었다. 현재 분리막 시장은 분리막에 소모품의 개념을 넘어 내구재의 특성을 요구하고 있으며, 생산기술은 이러한 요구에 부합하기 위해 NIPS와 TIPS개념을 넘어 다양한 융합기술로 끊임없이 진화하고 있다. 이에 우리는 평막의 안정성과 중공사의 집적도를 갖으며, 세라믹막의 내구성과 안정성을 대체함과 동시에 고분자막의 장점을 잃지 않는 플라워 & 클로버 멤브레인의 개발을 통해 분리막에 새로운 패러다임 제시하고자 한다. 플라워 멤브레인은 융합생산기술을 통해 MF/UF/PV 등 다양한 분야에 적용 가능하다.