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Implementation of Spreadsheet Modeling to Compare the Annual Energy Performance and Cost of Microgeneration Systems

Journal of Energy and Power Engineering 2014年第5期8卷 826-835页

作者： Andrew Putrayudha Soesanto Evgueniy Entchev Eun Chul Kang euy joon lee Renewable Energy Engineering University of Science and Technology Daejeon 305-350 Korea Renewables and Integrated Energy Systems Laboratory Canmet Energy Research Centre Ottawa K1A 0E4 Canada Energy Efficiency Department Korea Institute of Energy Research Daejeon 305-343 Korea

This paper presents the investigation of energy and cost saving of microgeneration systems which consist of conventional, load sharing, renewable energy and hybrid-renewable energy systems application featuring single detached house and office buildings by implementing spreadsheet modeling. Microsoft excel is employed as the spreadsheet application in this study. The system performance of each case is calculated under typical weather of ottawa, canada. These cases are calculated and analyzed in terms of thermal/cooling load （building demand） and natural gas/electricity consumption （energy supply） as well as the financial part by involving several parameters which are initial cost, annual energy consumption cost, annual operational and maintenance cost, inflation rate, and return on investment. Moreover, a house and an office have the same geometry of 200 mE. Total of seven cases modeling are developed; Case-1- a house with boiler and chiller, Case-2- an office with boiler and chiller, Case-3-a simple sum of Case l and Case 2, Case-4- a load-sharing model, Case-5- a load-sharing with GSHP （ground source heat pump）, Case-6- a load-sharing with ground source heat pump-fuel cell hybrid system （FC-GSHP）and Case-7- a load-sharing with GSHP--photovoltaic hybrid system （PVT-GSHP）. As the results, it will be observed the efficiency of the load-sharing, renewable energy, hybrid-renewable energy implementation comparing to the conventional system.

关键词： Spreadsheet GSHP FC PVT microgeneration.

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Optimizing GSHP Performance with ICT and RETScreen Plus

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Journal of Energy and Power Engineering 2014年第4期8卷 677-681页

作者： euy-joon lee Andrew Putrayudha Eun-Cheol Kang Ivor Francis Da Cuha New and Renewable Energy Division Renewable Energy Department KIER (Korea Institute of Energy Research) Daejeo 305-343 Korea LeapFrog Energy Technologies Inc. Mississauga L4Y2M8 Ontario Canada

Under the RHO （renewable heat obligation）, public buildings in the Republic of Korea must achieve an 11% overall reduction to thermal energy consumption in buildings more than 10,0O0 m^2. RETScreen Plus is a freely available software tool developed by the Canadian Government which can be used to develop energy baselines of clean energy technologies. Using curve-fitting and statistical methods like CUSUM, the software can combine actual energy performance with near real time weather information from NASA. We developed a method to simulate the performance of a GSHP （ground source heat pump）. The three distinct energy zones involve heating, no-energy, and cooling. RETScreen Plus methodology is used to develop curve fits for each distinct zone as it builds a correlation with NASA satellite data. The model then factors the impact of ICT （information and control technologies） as a means to improve and lower the building＇s energy consumption. Two values of COP （coefficient of performance） are used--the first is a standard ICT COP, while the second is an improved ICT COP with a smart controller. This methodology can then be expanded to incorporate current and future smart meter technologies, time of use rates, energy price signals, demand response and electricity storage options. In summary, this methodology enables a building owner or energy conservation official to quickly and accurately determine the baseline energy for a building and the potential impacts of smart ICT technologies, especially for buildings equipped with GSHP technologies.

关键词： RETScreen energy modeling GSHP ICT hybrid optimization methodology.

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Thermoresponsive Al^(3+)-crosslinked poly(N-isopropylacrylamide)/alginate composite for green recovery of lithium from Li-spiked seawater

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Green Energy & Environment 2022年第2期7卷 334-344页

作者： Sung Ho Park Sang joon lee Department of Mechanical Engineering Pohang University of Science and Technology(POSTECH)Pohang790-784South Korea

With the rapid increase in the demand for lithium as an energy-critical element,the recovery of Li+ions from seawater is a worldwide challenging ***,we propose a new facile and fast selective recovery approach of Li+using an Al^(3+)-crosslinked poly(N-isopropylacrylamide)(PNIPAAm)/alginate(Alg)(PNP/Alg(Al)) *** in situ TEM images indicate that Alg-Al^(3+)coordination is reorganized via the rearrangement of PNIPAAm and Alg networks,as the temperature *** reorganization eventually leads to the formation of polycrystalline *** in situ FTIR results exhibit that PNP/Alg(Al) composite has peculiar phase transitions,which includes a retrogressive phase change from hydrophobic to *** synergetic effect of the strong repulsion force of Al^(3+) ions and the attractive force of negatively charged polymeric chains enables the efficient adsorption of Li+ions with a low affinity from Li-spiked seawater.7.3% of Li+ions are recovered from Li-spiked seawater although the concentration of Li-spiked seawater is very *** addition,Li+ions can be extracted from PNP/Alg(Al) composite with the use of a small thermal *** proposed thermoresponsive IPN gel provides a strong potential in practical applications for Li+recovery as an innovative energy-material strategy.

关键词： structure seawater lithium

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Adhesion and Suction Functions of the Tip Region of a Nectar-drinking Butterfly Proboscis

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Journal of Bionic Engineering 2017年第4期14卷 600-606页

作者： Seung Chul lee Jun Ho Kim Sang joon lee Department of Mechanical Engineering Pohang University of Science and Technology Pohang 37673 Gyeongbuk Republic of Korea Center for Biofluid and Biomimic Research Pohang University of Science and Technology Pohang 37673 Gyeongbuk Republic of Korea

In this study, we investigated the dynamic functions of the tip region of the butterfly proboscis through which liquid is sucked during liquid feeding. The microstructures and flow patterns in the tip region of the proboscis were in vivo analyzed. The tip region can be divided into two functional sections： namely adhesion and suction sections. The liquid adheres to the adhesion section during liquid suction. Although the tip region has numerous slits connected to food canal of the proboscis, liquid is mainly sucked through the suction section, which section is submerged in the fluid pulled by the adhesion section and then successfully imbibes liquid. To check the dynamic functions of the tip region, we fabricated a suction tip model having adhesion and suction parts. The in vitro model experiments show that the hydrophilicity of the adhesion part and the existence of the suction inlet improve the liquid uptake driven by a suction pump. This study may provide insights for the biomimetic design of nectar-feeding butterflies.

关键词： butterfly proboscis nectar-feeding strategy suction

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Dynamic observation of dendrite growth on lithium metal anode during battery charging/discharging cycles

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npj Computational Materials 2022年第1期8卷 960-972页

作者： Hae Gon lee Se Young Kim joon Sang lee Next Generation Battery Research Center Korea Electrotechnology Research Institute(KERI)12Jeongiui-gilSeongsan-guChangwon-siGyeongsangnam-do51543Republic of Korea Department of Mechanical Engineering Yonsei University50 Yonsei-roSeodaemun-guSeoul03722Republic of Korea

Lithium metal is considered one of the most promising anode materials for application in next-generation ***,despite decades of research,practical application of lithium metal batteries has not yet been achieved because the fundamental interfacial mechanism of lithium dendrite growth is not yet fully *** this study,a series of reactive molecular dynamics (MD) simulations was performed to investigate the electrochemical dynamic reactions at the electrode/electrolyte *** allows quantitative characterization of morphological phenomena and real-time interfacial visualization of the dynamic growth of dead lithium and dendrites during repeated *** computational protocol was utilized to investigate the dendrite mitigation mechanism when an electrolyte additive (hydrogen fluoride) is dissolved in an organic ethylene carbonate (EC) electrolyte *** was confirmed that beneficial decomposition reactions between electrolyte components form a protective film on the anode surface,suppressing large interphase volume changes and unnecessary degradation reactions.

关键词： battery lithium electrolyte

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Ultra-low concentration of total organic carbon in ultrapure water using ion-exchange resin embedding silanized magnetic nanoparticles

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Journal of Environmental Sciences 2020年第6期32卷 11-17页

作者： Jung joon lee Jihyeon Park Bo-Hyun Kim Sunjong lee Department of Advanced Materials Science and Engineering Sungkyunkwan UniversitySuwon 16419South Korea Korea Institute of Industrial Technology 89 Yangdaegiro-gilIpjang-myeonCheonan-si 31056South Korea

Regeneration of pure water is an important issue not only for the healthy life but also for the fine control of precise processes in various *** important issue in ultrahigh purified water is to reduce the amount of total organic carbon(TOC).Herein,we introduce a new approach to reduce the TOC using the surface silanized nanoparticles,in which the magnetic nanoparticles(mNPs)are silanized and then complexed with ion exchange resin(IER)*** Fe3O4 mNPs are surface modified by using high concentrated vinyltrimethoxysilane(VTMS)and then adhered on the surface of IER *** surface modified mNPs have a thick-shell of polysiloxane layer varying from 5 to 22 nm depending on the amount of VTMS used,which leads the significant increase of specific surface *** IER beads embedding VTMS-silanized mNPs achieves about 7μg/L of the TOC level in ultrapure water system,which is two orders less than 228μg/L of the feeding water and one order less than 96μg/L from the system using pristine IER *** result is mainly attributed to the polysiloxane layer forming broccoli-like surface structure and some part by the vinyl group of VTMS exposed to the amines in the water.

关键词： Total organic carbon Ultrapure water Magnetic nanoparticle Ion-exchange resin Hybrid structure

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Arabidopsis TOR signaling is essential forsugar-regulated callus formation

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Journal of Integrative Plant Biology 2017年第10期59卷 742-746页

作者： Kyounghee lee Pil joon Seo Department of Biological Sciences Sungkyunkwan University Suwon 16419 Korea

Dedifferentiation is a remarkable process that produces pluripotent stem cells from differentiated somatic cells to ensure developmental *** have evolved the ability of cellular dedifferentiation,and signaling cascades related to auxin and cytokinin-dependent callus formation have been extensively ***,the molecular mechanism underlying sugar-dependent callus format:ion remains ***,we show that sugar-dependent callus formation is mainly regulated by the TOR-E;Fa module in ***-activated TOR kinase phosphorylates and stabilizes E;Fa proteins to transcriptionally activate S-phase genes during callus *** parallel,E;Fa is transcriptionally regulated by the ARF-LBD transcription ***:i-layered regulation of E;Fa by sugar and auxin is likely to shape balanced cellular dedifferentiation capability in Arabidopsis.

关键词： TOR Figure CIM LBD

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How the physical inactivity is affected by social-, economic- and physical-environmental factors: an exploratory study using the machine learning approach

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International Journal of Digital Earth 2023年第1期16卷 2503-2521页

作者： Kangjae lee Jue Wang joon Heo Department of Location-Based Information System Kyungpook National UniversitySangju-siGyeongsangbukdoRepublic of Korea Department of Geography Geomatics and EnvironmentUniversity of Toronto MississaugaMississaugaCanada Department of Civil and Environmental Engineering Yonsei UniversitySeoulRepublic of Korea

Previous studies have utilized regression models to investigate the impact of environmental factors on physical ***,such approaches are inadequate for data-driven analysis seeking to identify robust associations from the intricate and multi-variable interactions between physical activity and environmental *** the emergence of the concept of the exposome,which encompasses the totality of exposures,this paper explores machine learning models for predicting the percentage of physical inactivity in ***,while considering 28 social-,economic-,and physical-environmental *** aim of this study is to address the research gap and gain insight into the complex associations between environmental exposures and physical *** machine learning models were tested,and the performances were compared to select the best classifier for further *** study used data from the Behavioral Risk Factor Surveillance System(BRFSS)of the Centers for Disease Control and *** mean population of all counties was 102,841,and the mean percentage of population below 18 years was 22.3%.The partial dependence plot analysis indicated that only one feature–bachelor’s degree–exhibited a close-to-linear relationship with physical ***-vehicle crash death rate and mean temperature showed nonlinear and non-monotonic relationships with the predicted percentage of physical inactivity.

关键词： Physical inactivity environmental effects machine learning GIS

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A metallic anti-biofouling surface with a hierarchical topography containing nanostructures on curved micro-riblets

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Microsystems & Nanoengineering 2022年第1期8卷 83-96页

作者： Taekyung Kim Sunmok Kwon Jeehyeon lee joon Sang lee Shinill Kang National Center for Optically-assisted high precision Mechanical Systems Yonsei UniversitySeoul 03722Korea School of Mechanical Engineering Yonsei University50 Yonsei-roSeodaemun-guSeoul 03722Korea

Metallic surface finishes have been used in the anti-biofouling,but it is very difficult to produce surfaces with hierarchically ordered *** the present study,anti-biofouling metallic surfaces with nanostructures superimposed on curved micro-riblets were produced via top-down *** to the attachment theory,these surfaces feature few attachment points for organisms,the nanostructures prevent the attachment of bacteria and algal zoospores,while the micro-riblets prohibit the settlement of *** oxidation was performed to induce *** forms a hydration layer on the surface,which physically blocks foulant adsorption along with the anti-biofouling *** characterized the surfaces via scanning electron and atomic force microscopy,contact-angle measurement,and wear-resistance *** contact angle of the hierarchical structures was less than 1°.Laboratory settlement assays verified that bacterial attachment was dramatically reduced by the nanostructures and/or the hydration layer,attributable to *** micro-riblets prohibited the settlement of *** 77 days of static immersion in the sea during summer,the metallic surface showed significantly less biofouling compared to a surface painted with an anticorrosive coating.

关键词： Anti-biofouling Superhydrophilic Hierarchical topography Metallic engineered surface Nanoimprinting,static immersion test,field trials

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Prediction of NFT Sale Price Fluctuations on OpenSea Using Machine Learning Approaches

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Computers, Materials & Continua 2023年第5期75卷 2443-2459页

作者： Zixiong Wang Qiuying Chen Sang-joon lee Interdisciplinary Program of Digital Future Convergence Service Chonnam National UniversityGwangju61186Korea

The rapid expansion of the non-fungible token(NFT)market has attracted many ***,studies on the NFT price fluctuations have been relatively *** date,the machine learning approach has not been used to demonstrate a specific error in NFT sale price fluctuation *** aim of this study was to develop a prediction model for NFT price fluctuations using the NFT trading information obtained from OpenSea,the world’s largest NFT *** used Python programs to collect data and summarized them as:NFT information,collection information,and related account *** and Random Forest(RF)algorithms were employed to predict the sale price and price fluctuation of NFTs using regression and classification models,*** found that the NFT related account information,especially the number of favorites and activity status of creators,confer a good predictive power to both the *** in the regression model had more accurate predictions,the root mean square error(RMSE)in predicting NFT sale price was *** predicting NFT sale price fluctuations,RF performed better,which the area under the curve(AUC)reached *** suggest that investors should pay more attention to the information of NFT *** anticipate that these prediction models will reduce the number of investment failures for the investors.

关键词： NFT sale price fluctuation OpenSea AdaBoost Random forest

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