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MS-HEMs: An On-line Management System for High-Energy Molecules at ADD and BMDRC in Korea
이성광,조수경,박재성,김광연,노경태 대한화학회 2012 Bulletin of the Korean Chemical Society Vol.33 No.3
A pioneering version of an on-line management system for high-energy molecules (MS-HEMs) was developed by the ADD and BMDRC in Korea. The current system can manage the physicochemical and explosive properties of virtual and existing HEMs. The on-line MS-HEMs consist of three main routines: management, calculation, and search. The management routine contains a user-friendly interface to store and manage molecular structures and other properties of the new HEMs. The calculation routine automatically calculates a number of compositional and topological molecular descriptors when a new HEM is stored in the MS-HEMs. Physical properties, such as the heat of formation and density, can also be calculated using group additivity methods. In addition, the calculation routine for the impact sensitivity can be used to obtain the safety nature of new HEMs. The impact sensitivity was estimated in a knowledge-based manner using in-house neural network code. The search routine enables general users to find an exact HEM and its properties by sketching a 2D chemical structure, or to retrieve HEMs and their properties by giving a range of properties. These on-line MS-HEMs are expected be powerful tool for deriving novel promising HEMs.
MS-HEMs: An On-line Management System for High-Energy Molecules at ADD and BMDRC in Korea
Lee, Sung-Kwang,Cho, Soo-Gyeong,Park, Jae-Sung,Kim, Kwang-Yeon,No, Kyoung-Tae Korean Chemical Society 2012 Bulletin of the Korean Chemical Society Vol.33 No.3
A pioneering version of an on-line management system for high-energy molecules (MS-HEMs) was developed by the ADD and BMDRC in Korea. The current system can manage the physicochemical and explosive properties of virtual and existing HEMs. The on-line MS-HEMs consist of three main routines: management, calculation, and search. The management routine contains a user-friendly interface to store and manage molecular structures and other properties of the new HEMs. The calculation routine automatically calculates a number of compositional and topological molecular descriptors when a new HEM is stored in the MS-HEMs. Physical properties, such as the heat of formation and density, can also be calculated using group additivity methods. In addition, the calculation routine for the impact sensitivity can be used to obtain the safety nature of new HEMs. The impact sensitivity was estimated in a knowledge-based manner using in-house neural network code. The search routine enables general users to find an exact HEM and its properties by sketching a 2D chemical structure, or to retrieve HEMs and their properties by giving a range of properties. These on-line MS-HEMs are expected be powerful tool for deriving novel promising HEMs.
비절전 가전기기를 위한 에너지 관리 시스템의 뉴로-퍼지 기반 지능형 추론 알고리즘 설계
최인환(In-Hwan Choi),유성현(Sung-Hyun Yoo),정준호(Jun-Ho Jung),임묘택(Myo-Taeg Lim),오정준(Jung-Jun Oh),송문규(Moon-Kyou Song),안춘기(Choon-Ki Ahn) 대한전기학회 2015 전기학회논문지 Vol.64 No.5
Recently, home energy management system (HEMS) for power consumption reduction has been widely used and studied. The HEMS performs electric power consumption control for the indoor electric device connected to the HEMS. However, a traditional HEMS is used for passive control method using some particular power saving devices. Disadvantages with this traditional HEMS is that these power saving devices should be newly installed to build HEMS environment instead of existing home appliances. Therefore, an HEMS, which performs with existing home appliances, is needed to prevent additional expenses due to the purchase of state-of-the-art devices. In this paper, an intelligent inference algorithm for EMS at home for non-power saving electronic equipment, called legacy devices, is proposed. The algorithm is based on the adaptive network fuzzy inference system (ANFIS) and has a subsystem that notifies retraining schedule to the ANFIS to increase the inference performance. This paper discusses the overview and the architecture of the system, especially in terms of the retraining schedule. In addition, the comparison results show that the proposed algorithm is more accurate than the classic ANFIS-based EMS system.
A framework for sensitivity analysis of data errors on home energy management system
Choi, D.H.,Xie, L. Pergamon Press 2016 ENERGY Vol.117 No.1
This paper investigates the impact of data errors on home energy management systems (HEMSs) that reduce energy cost and maintain comfort for residential consumers. In particular, we conduct a sensitivity analysis of HEMS subject to various types of input data such as the predicted energy consumption, the forecasted outdoor temperature, the consumers' comfort settings, static and dynamic operation constraints for home appliances, and the demand response (DR) signal. Using the perturbed Karush-Kuhn-Tucker (KKT) condition equations from the HEMS optimization formulation, we develop a linear sensitivity matrix to assess the impact of data on optimal solutions for: (1) electricity cost; (2) consumer's dissatisfaction cost; (3) the energy consumption for home appliances; and (4) the indoor temperature. The results of a simulation study using the developed sensitivity matrix provide HEMS operators with unique insight into factors that account for the relationships of HEMS operations to the change in the various data. Furthermore, these results can be used to provide insights for residential consumers and to evaluate the security risks of HEMS to cyber attacks through data manipulation.
Ganesh Kumar Chellamani,Premanand Venkatesh Chandramani 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.2
Home energy management system (HEMS) is a section of demand response (DR), that plays an imperative role in the residential areas towards appliance management for the enhancement of energy efciency and grid stability. In this article, a methodical home energy management system (Methodical-HEMS) was proposed based upon K-means, a machine learning algorithm and satin bowerbird optimization (SBO) algorithm to optimize the scheduling of appliances within a 24-h period. The K-means algorithm is used for defning the discrete comfort window (DCW) for schedulable appliance, while SBO algorithm is used for defning the suitable time slots for the schedulable appliance to operate within the DCW. MethodicalHEMS is considered for a single home with the day ahead time of use pricing, to minimize the overall electricity bill (EB) and to satisfy the consumer’s comfort. The performance of Methodical-HEMS is evaluated with other heuristic algorithms, including a particle swarm optimization algorithm, grey wolf optimization algorithm, artifcial bee colony algorithm and genetic algorithm. The simulation outcomes demonstrate that, the SBO based HEMS algorithm efectually reduces the overall EB from ₹ 29.14/day to ₹ 22.84/day, minimizes the peak-to-average ratio by 10.28% and remains uncompromising on the consumer’s comfort.
발전소전원상실사고시 고압비상충수계통의 종합효과시험에 대한 MARS-KS 코드 검증 해석
이선일(Sunil Lee),류성욱(Sung Uk Ryu),이성재(Sung-Jae Yi) 대한기계학회 2019 대한기계학회 춘추학술대회 Vol.2019 No.11
This paper reports the validation of the injection performance of Hybrid Safety Injection Tank (HSIT) using a integral effect test facility (ATLAS-HSIT) in Korea Atomic Energy Research Institute (KAERI). The concept of Hybrid Safety Injection Tank (Hybrid SIT) has been introduced for the purpose of application to the Advanced Power Reactor Plus (APR+). The Hybrid SIT is a passive safety injection system that enables the safety injection water to be injected into the reactor pressure vessel under the condition of high pressure by connecting the top of the SIT and the pressurizer (PZR). In this study, the SBO situation of the APR+ was analyzed by using the ATLAS Facility in order to evaluate whether the operation of the Hybrid SIT has an effect on the cooling performance of the Reactor Coolant System (RCS). After injection of the HSIT, it was found that the height of core and downcomer were maintained constant and peak cladding temperature was maintained under 350℃. It means that HEMS can contribute to effectively cool down the reactor coolant system during an SBO transient in both the experimental data and the MARS-KS calculation. In addition, the MARS-KS code analysis results proved to have the sufficient capability to quantitatively predict the SBO transient with the operation of the HSIT.
Choi, Hyun Duck,Lee, Soon Woo,Pae, Dong Sung,You, Sung Hyun,Lim, Myo Taeg The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.2
In this paper, we propose a new load forecasting method for smart air conditioning (A/C) based on the modified thermodynamics of indoor temperature and the unbiased finite memory estimator (UFME). Based on modified first-order thermodynamics, the dynamic behavior of indoor temperature can be described by the time-domain state-space model, and an accurate estimate of indoor temperature can be achieved by the proposed UFME. In addition, a reliable A/C load forecast can be obtained using the proposed method. Our study involves the experimental validation of the proposed A/C load forecasting method and communication construction between DR server and HEMS in a test bed. Through experimental data sets, the effectiveness of the proposed estimation method is validated.
Hyun Duck Choi,Soon Woo Lee,Dong Sung Pae,Sung Hyun You,Myo Taeg Lim 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.2
In this paper, we propose a new load forecasting method for smart air conditioning (A/C) based on the modified thermodynamics of indoor temperature and the unbiased finite memory estimator (UFME). Based on modified first-order thermodynamics, the dynamic behavior of indoor temperature can be described by the time-domain state-space model, and an accurate estimate of indoor temperature can be achieved by the proposed UFME. In addition, a reliable A/C load forecast can be obtained using the proposed method. Our study involves the experimental validation of the proposed A/C load forecasting method and communication construction between DR server and HEMS in a test bed. Through experimental data sets, the effectiveness of the proposed estimation method is validated.
2P-543 Synthesis of polynitropyrazole derivatives via nitrodeiodination
김남태,이윤재,김한울,김영규 한국공업화학회 2017 한국공업화학회 연구논문 초록집 Vol.2017 No.1
Polynitropyrazoles have been extensively studied for their high thermal stability, insensitivity and excellent explosive performance. 3,4,5-trinitropyrazole (TNP) and 2,4,5-trinitroimidazole (TNI) are representative azole-based molecular explosives. Many synthetic methods for introducing nitro groups have been reported. Nitrodeiodination is an efficient method which can introduce nitro groups into the structure with iodine introduced. Herein, we will introduce experimental results for introducing nitro groups into polyiodopyrazoles via nitrodeiodination. Our group synthesized polynitropyrazole derivatives as precursors of HEMs through the nitrodeiodination reaction of polyiodopyrazoles.