Evaluating impact level of different factors in environmental impact assessment for incinerator plants using GM (1, N) model

Pai, Tzu‐Yi; Chiou, Ren-Jie; Wen, Hongbo

doi:10.1016/j.wasman.2007.08.010

Cited by 39 publications

(12 citation statements)

References 10 publications

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“…Grey theory includes systems analysis, data processing, modeling, prediction, decision-making, and control, and Grey prediction models have been used in many applications [44,45,46]. In contrast to statistical methods, the original series in the time series grey model, called the GM (1,1) mode, has greater potency.…”

Section: Resultsmentioning

confidence: 99%

Evaluation and Analysis of Eco-Security in Environmentally Sensitive Areas Using an Emergy Ecological Footprint

Chen

2017

IJERPH

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In this paper, the overall ecological and environmental sustainability in the Cing-Jing region in Taiwan is examined. As land use and cover change has been found to be an important analysis method, an emergy ecological footprint model was applied and the eco-security assessed to ensure authorities maintain a balance between ecological preservation and tourism development. While the ecological environment in the Cing-Jing region from 2008 to 2014 was found to be within safe levels, all related indices had increased considerably. A Grey model was used to predict the 2015–2024 ecological carrying capacities, from which it was found that there is expected to be a large increase in per capita ecological footprints (EFs), meaning that in the future there is going to be a larger ecological deficit and a higher ecological pressure index (EFI), with the eco-security predicted to reach a Grade 2 intermediate level in 2022. As the Cing-Jing region is predicted to become ecologically unsustainable, local, regional, and national governments need to implement regulations to strictly control the land use in the Cing-Jing region. This study demonstrated that emergy EF (EEF) theory application can give objective guidance to decision-makers to ensure that recreational non-urban eco-security can be maintained at a safe level.

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Section: Resultsmentioning

confidence: 99%

Evaluation and Analysis of Eco-Security in Environmentally Sensitive Areas Using an Emergy Ecological Footprint

Chen

2017

IJERPH

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“…Research on incineration addresses various issues such as how to improve energy recovery performance and control pollution (Pai et al 2008), how to select most appropriate location for incineration plants (Alçada-Almeida et al 2009;Eiselt and Marianov 2015) and derive compensation package for effected people (Chang et al 2002), and what extent the recycling volume would change following the introduction of an incineration tax (Sahlin et al 2007). These facilitate analysing feasibility of incineration plants.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring incineration plants’ performance using combined data envelopment analysis, goal programming and mixed integer linear programming

Petridis

Dey

2018

Ann Oper Res

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Incineration plants produce heat and power from waste, reduce waste disposal to landfills, and discharge harmful emissions and bottom ash. The objective of the incineration plant is to maximize desirable outputs (heat and power) and minimize undesirable outputs (emissions and bottom ash). Therefore, studying the overall impact of incineration plants in a region so as to maximize the benefits and minimize the environmental impact is significant. Majority of prior works focus on plant specific decision making issues including performance analysis. This study proposes a hybrid data envelopment analysis (DEA), goal programming (GP) and mixed integer linear programming (MILP) model to assess the performance of incineration plants, in a specific region, to enhance overall power production, consumption of waste and reduction of emissions. This model not only helps the plant operators to evaluate the effectiveness of incineration but also facilitates the policy makers to plan for overall waste management of the region through decision-making on adding and closing plants on the basis of their efficiency. Majority of prior studies on incineration plants emphasize on how to improve their performance on heat and power production and neglect the waste management aspects. Additionally, optimizing benefits and minimizing negative outputs through fixing targets in order to make decision on shutting down the suboptimal plants has not been modeled in prior research. This research combines both the aspects and addresses the overall performance enhancement of incineration plants within a region from both policy makers and plant operators' perspectives. The proposed combined DEA, GP and MILP model enables to optimize incineration plants performance within a region by deriving efficiency of each plant and identifying plants to close down on the basis of their performance. The B Prasanta Kumar Dey

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“…So that some scholars believe the accuracy of grey forecasting model can not be improved gradually by introducing system information gradually, and even doubt the principle of grey modeling (see [17], [18]). …”

Section: Introductionmentioning

confidence: 99%

Multivariate Discrete Grey Model base on Dummy Drivers

Zhang

Pinpin

2015

2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)

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A multivariate discrete grey forecasting model is proposed to solve the problem that the qualitative relative factors can't be employed in traditional models. Firstly, a new model is constructed though introducing dummy drivers. Then, the parameters estimation method and recursive function of the model are discussed. Furthermore, dummy driver setting, pre and posttest methods of dummy drivers are proposed. At last, the per capita income forecasting of rural residents in Henan province of China is solved with the proposed model. The results are compared with other grey forecasting models, and prove that proposed model has not only high accuracy, but also clear physical meaning.Keywordgrey system; multivariate model; dummy driver; forecasting 978-1-4799-8375-9/15/$31.00 ©20 15 IEEE 266

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Evaluating impact level of different factors in environmental impact assessment for incinerator plants using GM (1, N) model

Cited by 39 publications

References 10 publications

Evaluation and Analysis of Eco-Security in Environmentally Sensitive Areas Using an Emergy Ecological Footprint

Evaluation and Analysis of Eco-Security in Environmentally Sensitive Areas Using an Emergy Ecological Footprint

Measuring incineration plants’ performance using combined data envelopment analysis, goal programming and mixed integer linear programming

Multivariate Discrete Grey Model base on Dummy Drivers

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