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Title: Dynamic performance analysis of two regional Nuclear Hybrid Energy Systems

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Journal Article: Publisher's Accepted Manuscript
Journal Name:
Energy (Oxford)
Additional Journal Information:
Journal Name: Energy (Oxford); Journal Volume: 107; Journal Issue: C; Related Information: CHORUS Timestamp: 2017-10-04 16:11:15; Journal ID: ISSN 0360-5442
Country of Publication:
United Kingdom

Citation Formats

Garcia, Humberto E., Chen, Jun, Kim, Jong S., Vilim, Richard B., Binder, William R., Bragg Sitton, Shannon M., Boardman, Richard D., McKellar, Michael G., and Paredis, Christiaan J. J.. Dynamic performance analysis of two regional Nuclear Hybrid Energy Systems. United Kingdom: N. p., 2016. Web. doi:10.1016/
Garcia, Humberto E., Chen, Jun, Kim, Jong S., Vilim, Richard B., Binder, William R., Bragg Sitton, Shannon M., Boardman, Richard D., McKellar, Michael G., & Paredis, Christiaan J. J.. Dynamic performance analysis of two regional Nuclear Hybrid Energy Systems. United Kingdom. doi:10.1016/
Garcia, Humberto E., Chen, Jun, Kim, Jong S., Vilim, Richard B., Binder, William R., Bragg Sitton, Shannon M., Boardman, Richard D., McKellar, Michael G., and Paredis, Christiaan J. J.. 2016. "Dynamic performance analysis of two regional Nuclear Hybrid Energy Systems". United Kingdom. doi:10.1016/
title = {Dynamic performance analysis of two regional Nuclear Hybrid Energy Systems},
author = {Garcia, Humberto E. and Chen, Jun and Kim, Jong S. and Vilim, Richard B. and Binder, William R. and Bragg Sitton, Shannon M. and Boardman, Richard D. and McKellar, Michael G. and Paredis, Christiaan J. J.},
abstractNote = {},
doi = {10.1016/},
journal = {Energy (Oxford)},
number = C,
volume = 107,
place = {United Kingdom},
year = 2016,
month = 7

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1016/

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Cited by: 14works
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  • An RO (reverse osmosis) desalination plant is proposed as an effective, FLR (flexible load resource) to be integrated into HES (hybrid energy systems) to support various types of ancillary services to the electric grid, under variable operating conditions. To study the dynamic (transient) analysis of such system, among the various unit operations within HES, special attention is given here to the detailed dynamic modeling and control design of RO desalination process with a spiral-wound membrane module. The model incorporates key physical phenomena that have been investigated individually into a dynamic integrated model framework. In particular, the solution-diffusion model modified withmore » the concentration polarization theory is applied to predict RO performance over a large range of operating conditions. Simulation results involving several case studies suggest that an RO desalination plant, acting as a FLR, can provide operational flexibility to participate in energy management at the utility scale by dynamically optimizing the use of excess electrical energy. Here, the incorporation of additional commodity (fresh water) produced from a FLR allows a broader range of HES operations for maximizing overall system performance and profitability. For the purpose of assessing the incorporation of health assessment into process operations, an online condition monitoring approach for RO membrane fouling supervision is addressed in the case study presented.« less
  • The Wisconsin Regional Energy Model was designed to bring systems analysis into the complex issues of energy decision making. The simulation model (WISE), including considerations of demand, conversion, transport, and environmental impact of the energy system in their economic and technological context, relates the system to the characteristics of its region. Wisconsin and other states have made wide application of the model to analyze alternative energy options, such as long-range electricity demand and possibilities for energy conservation. Socio-economic factors, effects of external supplies and prices, end-use demands, conversion and supply, and environmental impacts are the five major submodel components linkedmore » by a FORTRAN-based command language named WISconsin SIMulation (WISSIM). (DCK)« less
  • The paper presents a mathematical model developed to simply analyze a hybrid hollow-core-floor-slab-wall-air-collector system with passive discharge to the rooms above and below the slab. It is based on a one-dimensional (longitudinal) detailed thermal analysis of the basic module, that is comprised of two parts (one along the cores with incoming air, and the other along those with outgoing air). The model accounts, in addition to the exact heat exchange along the module, for transverse heat exchange between the two parts within the module, transverse heat exchange with the adjacent modules, and heat exchange with the surrounding air at everymore » point along the system. It incorporates thus the relevant heat transfer mechanisms associated with all the physical factors of the system that require optimization, while avoiding the time consuming complete 3-D thermal analysis required for a thorough and totally accurate analysis. The field equations consist of four second order partial differential equations, with four unknowns, at every point along the system. The numerical solution was accomplished by means of a finite difference scheme, that yielded a banded coefficients matrix. The integration was performed for 1 h time steps by means of a computer program (DEKOLTA - Decke-Kollektor-Thermal-Analysis) developed specifically for the purpose. 7 refs., 13 figs., 2 tabs.« less
  • In this paper, the authors develop a methodology to analyze decision problems which contain fuzziness, taking into account the decision maker's judgement on subjective probabilities and subjective weights of additive utility functions. Also, they propose two methods (..cap alpha..-cut method and centroid method) to evaluate alternatives by using fuzzy expected utility curves calculated from fuzzy probabilities and fuzzy utilities. Next, they apply the above methods to a fuzzy decision analysis on the development of a Centralized Regional Energy Control System in Tobata Ward of Kitakyushu City.