Optimization of a gas turbine in the methanol process, using the NLP model

Kralj, Anita Kovač; Glavič, Peter

doi:10.1016/j.applthermaleng.2007.01.005

Cited by 13 publications

(9 citation statements)

References 10 publications

(11 reference statements)

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“…They focused on analysing input and output values of energy production nodes to minimize production costs. "Optimization of a gas turbine in the methanol process, using the NLP model" [15] study is foced on non-linear programming of electricity and heat production, simultaneously. Model result states that, simultaneous heat and electricity optimization sallows 1.7 million Euro benefit, annualy.…”

Section: Literature Reviewmentioning

confidence: 99%

Interactive energy demand, production and usage optimization in manufacturing

Kunt

Kayakutlu

Selcuk

2015

2015 Portland International Conference on Management of Engineering and Technology (PICMET)

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Renewable energy resources and improvements in energy generation and usage are critical policies of energy dependent countries. 2012 BP report states that 48 % of both electricity and natural gas consumptions are realized by industrial usage. In developing countries manufacturing sites are increasing at least 4% a year. Cogeneration is a good solution for the efficiency improvement since it reduces costs about 30%-50% compared to the individual usages. In the whole Globe, only 9% of the energy demand is responded by cogeneration systems. One of the barriers of cogeneration implementation is the visionary difference among the production groups and the energy management groups. Researches state that, defining requirements per turbine and planning the load capacity provides incremental benefits. Energy generation plans for trading energy with the grid allow further economic advantages. This paper is one of the rare studies on integrating the energy load plans and the production plans. The combined plans can be updated interactively either by the energy management or by the manufacturing sites. The proposed mixed integer-programming (MIP) model allows using scenarios, which would allow considering energy costs per unit of product. The objective of the study is to reduce energy costs in parallel with the production costs. The proposed system is constructed for the stock-based production type where energy costs have an important share in the operational costs. The system can be used both with a single fuel resource or hybrid renewable resources.

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Section: Literature Reviewmentioning

confidence: 99%

Interactive energy demand, production and usage optimization in manufacturing

Kunt

Kayakutlu

Selcuk

2015

2015 Portland International Conference on Management of Engineering and Technology (PICMET)

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“…However, the main negative effect of such engines is lower efficiency and large energy losses from the exhaust gas. The efficiency of the gas turbine is about 40% [16,17].…”

Section: Introductionmentioning

confidence: 99%

Methanol Production in the Brayton Cycle

et al. 2022

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This article presents the concept of renewable methanol production in the gas turbine cycle. As part of the work, an analysis was performed, including the impact of changing the parameters in the methanol reactor on the obtained values of power, yield and efficiency of the reactor, and chemical conversion. The aim of this research was to investigate the possibility of integrating the system for the production of renewable methanol and additional production of electricity in the system. The efficiency of the chemical conversion process and the efficiency of the methanol reactor increases with increasing pressure and decreasing temperature. The highest efficiency values, respectively η = 0.4388 and ηR = 0.3649, are obtained for parameters in the reactor equal to 160 °C and 14 MPa. The amount of heat exchanged in all exchangers reached the highest value for 14 MPa and 160 °C and amounted to Q˙ = 2.28 kW. Additionally, it has been calculated that if an additional exchanger is used before the expander (heating the medium to 560 °C), the expander’s power will cover the compressor’s electricity demand.

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“…Some written languages like Chinese, Japanese and Thai do not have single-word boundaries, so any significant text parsing in these languages requiring the identification of word boundaries is often a non-trivial task [4,5].…”

Section: Introductionmentioning

confidence: 99%

Extracting clinical information from free-text of pathology and operation notes via Chinese natural language processing

Zeng

Zhang

et al. 2010

2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)

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Many of surgical records containing the clinical information are in electronic forms, but a lot of them are still in free-text format in China. In this paper, we have an attempt to extract information with the Nature Language Processing (NLP) approach. The procedure of NLP is made up of three steps. First, given 36 free-text of operation notes, a physician manually annotates the information which he is interested in. Second, we extract the features of the annotated information. Third, several logistic regression models are built. Totally, 14 clinical data are extracted. The NLP tool was tested 364 operation notes. The accuracy of extraction is between 67.3%-96.7%. Our results indicate that the performance of the features we used to build the machine learningis good in extracting useful information from free-text Chinese operation notes for liver cancer. In the future, these features would explored on more broader clinical settings.

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Optimization of a gas turbine in the methanol process, using the NLP model

Cited by 13 publications

References 10 publications

Interactive energy demand, production and usage optimization in manufacturing

Interactive energy demand, production and usage optimization in manufacturing

Methanol Production in the Brayton Cycle

Extracting clinical information from free-text of pathology and operation notes via Chinese natural language processing

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