Search results

1 – 3 of 3
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 13 September 2011

Buying Wen, Zhongbin Bai and Fushuan Wen

The efficiency of the emission trading system (ETS) may help to control the total emission amount. The purpose of this paper is to investigate the generating cost issue in…

508

Abstract

Purpose

The efficiency of the emission trading system (ETS) may help to control the total emission amount. The purpose of this paper is to investigate the generating cost issue in environmental/economic power dispatch, under the premise that the ETS has already been established.

Design/methodology/approach

The emission benefit and price level factors are introduced for transforming the bi‐objective optimization problem with the fuel cost and emission cost minimization into a single objective. In the developed mathematical model, both the total emission amount from all units and the permitted emission amount from each generating unit are taken into account. The successive linear programming method is employed to solve the optimization problem.

Findings

Simulation results of the IEEE 30‐bus test system show that a proper trading mechanism of emission permits is very important for generation companies to control the total emission amount and to reduce the overall generation cost.

Research limitations/implications

Further research is needed to find out the impact on the generating cost caused by trading price fluctuation and the coping strategies.

Originality/value

The results can help to meet the requirements of current generating optimal dispatch.

Details

International Journal of Energy Sector Management, vol. 5 no. 3
Type: Research Article
ISSN: 1750-6220

Keywords

Access Restricted. View access options
Article
Publication date: 13 February 2025

Yingbo Gao, Bo Yan, Hanxu Yang, Mao Deng, Zhongbin Lv, Bo Zhang and Guanghui Liu

A transmission tower usually experiences bolt loosening under long-term alternating cyclic load, which may lead to collapse of the tower in extreme operating conditions. The paper…

23

Abstract

Purpose

A transmission tower usually experiences bolt loosening under long-term alternating cyclic load, which may lead to collapse of the tower in extreme operating conditions. The paper aims to propose a data-driven identification method for bolt looseness of complicated tower structures based on reduced-order models and numerical simulations to perceive and evaluate the health state of a tower in operation.

Design/methodology/approach

The equivalent stiffnesses of three types of bolt joints under various loosening scenarios are numerically determined by three-dimensional finite element (FE) simulations. The order of the FE model of a tower structure with bolt loosening is reduced by means of the component modal synthesis method, and the dynamic responses of the reducer-order model under calibration loads are simulated and used to create the dataset. An identification model for bolt looseness of the tower structure based on convolutional neural networks driven by the acceleration sensors is constructed.

Findings

An identification model for bolt looseness of the tower structure based on convolutional neural networks driven by the acceleration sensors is constructed and the applicability of the model is investigated. It is shown that the proposed method has a high identification accuracy and strong robustness to data noise and data missing. Meanwhile, the method is less dependent on the number and location of sensors and is easier to apply in real transmission lines.

Originality/value

This paper proposes a data-driven identification method for bolt looseness of a complicated tower structure based on reduced-order models and numerical simulations. Non-linear relationships between equivalent stiffness of bolted joints and bolt preload depicting looseness are obtained and reduced-order model of tower structure with bolt looseness is established. Finally, this paper investigates applicability of identification model for bolt looseness.

Details

Engineering Computations, vol. 42 no. 2
Type: Research Article
ISSN: 0264-4401

Keywords

Access Restricted. View access options
Article
Publication date: 27 September 2021

Michele Ciotti, Giampaolo Campana and Mattia Mele

This paper aims to present a survey concerning the accuracy of thermoplastic polymeric parts fabricated by additive manufacturing (AM). Based on the scientific literature, the aim…

408

Abstract

Purpose

This paper aims to present a survey concerning the accuracy of thermoplastic polymeric parts fabricated by additive manufacturing (AM). Based on the scientific literature, the aim is to provide an updated map of trends and gaps in this relevant research field. Several technologies and investigation methods are examined, thus giving an overview and analysis of the growing body of research.

Design/methodology/approach

Permutations of keywords, which concern materials, technologies and the accuracy of thermoplastic polymeric parts fabricated by AM, are used for a systematic search in peer-review databases. The selected articles are screened and ranked to identify those that are more relevant. A bibliometric analysis is performed based on investigated materials and applied technologies of published papers. Finally, each paper is categorised and discussed by considering the implemented research methods.

Findings

The interest in the accuracy of additively manufactured thermoplastics is increasing. The principal sources of inaccuracies are those shrinkages occurring during part solidification. The analysis of the research methods shows a predominance of empirical approaches. Due to the experimental context, those achievements have consequently limited applicability. Analytical and numerical models, which generally require huge computational costs when applied to complex products, are also numerous and are investigated in detail. Several articles deal with artificial intelligence tools and are gaining more and more attention.

Originality/value

The cross-technology survey on the accuracy issue highlights the common critical aspects of thermoplastics transformed by AM. An updated map of the recent research literature is achieved. The analysis shows the advantages and limitations of different research methods in this field, providing an overview of research trends and gaps.

Details

Rapid Prototyping Journal, vol. 28 no. 2
Type: Research Article
ISSN: 1355-2546

Keywords

Access

Year

All dates (3)

Content type

1 – 3 of 3
Per page
102050