Chung Yuan Christian University

About: Chung Yuan Christian University is a education organization based out in Taoyuan City, Taiwan. It is known for research contribution in the topics: Membrane & Fuzzy logic. The organization has 9819 authors who have published 11623 publications receiving 213139 citations. The organization is also known as: Tiong-gôan-tāi-ha̍k & CYCU.

A Generalized Nash Equilibrium Model of Market Coupling in the European Power System

Abstract: “Market Coupling” is currently seen as the most advanced market design in the restructuring of the European electricity market. Market Coupling, by construction, introduces what is generally referred to as an incomplete market: it leaves several constraints out of the market and hence avoids pricing them. This may or may not have important consequences in practice depending on the case on hand. Quasi-Variational Inequality problems and the associated Generalized Nash Equilibrium can be used for representing incomplete markets. Recent papers propose methods for finding a set of solutions of Quasi-Variational Inequality problems. We apply one of these methods to a subproblem of market coupling namely the coordination of counter-trading. This problem is an illustration of a more general question encountered, for instance, in hierarchical planning in production management. We first discuss the economic interpretation of the Quasi-Variational Inequality problem. We then apply the algorithmic approach to a set of stylized case studies in order to illustrate the impact of different organizations of counter-trading. The paper emphasizes the structuring of the problem. A companion paper considers the full problem of Market Coupling and counter-trading and presents a more extensive numerical analysis.

Auto-Switch Gaussian Process Regression-Based Probabilistic Soft Sensors for Industrial Multigrade Processes with Transitions

Abstract: Prediction uncertainty has rarely been integrated into traditional soft sensors in industrial processes. In this work, a novel autoswitch probabilistic soft sensor modeling method is proposed for online quality prediction of a whole industrial multigrade process with several steady-state grades and transitional modes. It is different from traditional deterministic soft sensors. Several single Gaussian process regression (GPR) models are first constructed for each steady-state grade. A new index is proposed to evaluate each GPR-based steady-state grade model. For the online prediction of a new sample, a prediction variance-based Bayesian inference method is proposed to explore the reliability of existing GPR-based steady-state models. The prediction can be achieved using the related steady-state GPR model if its reliability using this model is large enough. Otherwise, the query sample can be treated as in transitional modes and a local GPR model in a just-in-time manner is online built. Moreover, to improve the efficiency, detailed implementation steps of the autoswitch GPR soft sensors for a whole multigrade process are developed. The superiority of the proposed method is demonstrated and compared with other soft sensors in an industrial process in Taiwan, in terms of online quality prediction.

Computational Investigation of CO Adsorption and Oxidation on Iron-Modified Cerium Oxide

Abstract: The mechanisms for the oxidation of CO catalyzed by Fe-modified CeO2 surfaces have been investigated using periodic density functional theory calculations corrected for the on-site Coulomb interaction by a Hubbard term (DFT + U). The following findings were made: (i) Fe is stable both as an adsorbed atom, Feδ+ (δ < 2), on the surface and as a dopant, Fe3+, in the surface region. (ii) The Fe dopant facilitates oxygen vacancy formation, whereas Fe adatoms might suppress oxygen vacancy formation. (iii) In addition to physisorbed CO as on the clean surface, physisorbed CO2 and chemisorbed CO (carbonate, CO32–) species are observed on the Fe-doped CeO2(111) surface. Vibrational frequency calculations were carried to characterize these species. (iv) CeO2(111) containing positively charged Fe ions, either as supported isolated Feδ+ adatoms [or small Fexδ+ (x = 2–5) clusters] or as substitutional Fe3+ ions, was found to catalyze the conversion of CO to CO2. Incorporating Fe3+ ions into the ceria lattice as substi...