Modeling and optimal resources allocation of a novel tri-distributed generation system based on sustainable energy resources

Soheyli, Saman; Mehrjoo, Mehri; Mayam, Mohamad Hossein Shafiei

doi:10.1016/j.enconman.2017.03.058

Cited by 18 publications

(6 citation statements)

References 43 publications

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“…Through analysis, we can see that the proportion of existing reasons from large to small is as follows: teachers' insufficient utilization of teaching resources, lack of necessary funds, school leaders' neglect of teaching resources, lack of teaching resource administrators, and other reasons. In order to improve the lack of teaching resources, this paper optimizes teaching resources in English teaching through the SMART model [25], as shown in Figure 8. In this paper, we use the SMART model to optimize teaching resources in English teaching, where S represents concreteness, M represents measurable lines, A represents realizability, R represents relevance, and T represents timeliness.…”

Section: Teachers' Cognition Of English Teaching Resourcesmentioning

confidence: 99%

Research on the Optimization and Allocation Management of Teaching Resources for English Teaching

Min

Wang

2022

Wireless Communications and Mobile Computing

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Nowadays, in the era of Internet of Things, there are many kinds of teaching resources and ways to inquire. However, there are many problems in the selection, allocation, and management of teaching resources, and there is insufficient utilization of resources. Through the management of curriculum allocation and teacher resource allocation of teaching resources, this paper knows that since 2005 to 2011, the number of college-level English excellent courses and municipal-level English excellent courses has increased greatly, but the number of national-level English excellent courses is small. In order to strengthen the allocation and management of English teaching resources, the number of national excellent courses should be increased. According to the comparison ratio between the number of students and the number of English teachers in a university, which is 152 : 1, the number of English teachers is small. Among the 67 English teachers, senior titles accounted for 29.9%. Teachers with postgraduate degrees accounted for 22.4%. Ordinary teachers account for 47.7%. In order to improve the allocation of English teachers, ordinary teachers should be trained to improve the allocation of English teachers. By comparing 9-year-old teachers, 5-year-old teachers, and 1-year-old teachers, it is found that most teachers are more inclined to use teaching materials, teaching aids, and multimedia in choosing English teaching resources. And through the SMART teaching resource optimization model to the English teaching resources exist in the lack of funds, lack of administrators, school leaders do not pay attention to, and insufficient use of resources and other reasons for optimization. By comparing the SMART model with general English teaching, the UTAUT model and SICAS model, it can be seen that the model proposed in this paper has greatly improved students’ English school ability. Through the analysis of general English teaching and the SMART optimization model, UTAUT model, SICAS model precision, recall rate, F1, AUC, accuracy, and other performance, we know that the SMART model proposed in this paper has the best performance and has a good effect on the optimization of teaching resources in English teaching.

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Section: Teachers' Cognition Of English Teaching Resourcesmentioning

confidence: 99%

Research on the Optimization and Allocation Management of Teaching Resources for English Teaching

Min

Wang

2022

Wireless Communications and Mobile Computing

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“…Single-objective analysis, parametric analysis [4], [5] & [6] and comparative analysis [7], [8], [9] & [10] are the most commonly used approaches. For multiobjective analysis, evolutionary algorithms are applied to solve sizing [11], [12] & [13] and operation strategy [14], [15] & [16] problems. However, the subjective weight of different objectives applied in these works is largely influenced by the knowledge and experience of designers.…”

Section: Introductionmentioning

confidence: 99%

A Novel Design of a Solid Oxide Fuel Cell-Based Combined Cooling, Heat and Power Residential System in the U.K.

Yuan

Liu

Bucknall

2021

IEEE Trans. on Ind. Applicat.

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This paper details the use of objective sizing techniques for a novel design of a residential solid oxide fuel cell (SOFC) combined cooling, heat and electrical power (CCHP) for UK market. The aim of the research is to determine the objective sizing of parameters taking into account the aspects of efficiency, economic and environmental impacts by the entropyweighting approach and grey relationship analysis. The combination of these two approaches helps designers objectively maximise efficiency of energy utilization and minimise emissions and costs of the system that is examined. It is envisaged that electrical demand is met by the fuel cell stacks while the most efficient use is made of heat that is generated by the fuel cell through waste heat recovery to satisfy domestic hot water, freezers, space heating and space cooling. The demand of conventional electric freezers is innovatively designed to be fulfilled by heat exchangers and absorption chillers to further increase the efficiency of heat use. Due to the particularity of the energy demand of the domestic sector in the UK, the proposed system structure, sizing values and control strategiessupported by MATLAB R2018a/Simulink-are suited to the residential energy demands of a single household.

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“…Due to the complexity of the system, the waste heat recovery system was not modelled and the relationship between the CCHP system's heat output and that of the SOFC output was linearised. Optimisation-based operation strategies can deal with nonlinear energy dispatch problems and the genetic algorithm [18] [19] approach has been applied to search for sizing values while unit commitment optimisation was used to obtain the optimal operation strategies. [20] used a multi-objective optimiser developed by the Laboratory of Industrial Energy Systems [21] to minimise the costs and CO2 emissions and the daily operation was optimised by a linear programming method.…”

Section: Introductionmentioning

confidence: 99%

Optimised MOPSO with the grey relationship analysis for the multi-criteria objective energy dispatch of a novel SOFC-solar hybrid CCHP residential system in the UK

Yuan

Liu

Bucknall

2021

Energy Conversion and Management

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Modeling and optimal resources allocation of a novel tri-distributed generation system based on sustainable energy resources

Cited by 18 publications

References 43 publications

Research on the Optimization and Allocation Management of Teaching Resources for English Teaching

Research on the Optimization and Allocation Management of Teaching Resources for English Teaching

A Novel Design of a Solid Oxide Fuel Cell-Based Combined Cooling, Heat and Power Residential System in the U.K.

Optimised MOPSO with the grey relationship analysis for the multi-criteria objective energy dispatch of a novel SOFC-solar hybrid CCHP residential system in the UK

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