An interval-valued fuzzy-stochastic programming approach and its application to municipal solid waste management

Wang, Shuo; Huang, Guohe; Yang, Boting

doi:10.1016/j.envsoft.2011.10.007

Cited by 57 publications

(29 citation statements)

References 34 publications

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“…Neglecting or incorrectly estimating uncertainties will result in ineffective and misleading decisions. Uncertainty analysis in environmental decision making has triggered much attention, and various methods have been developed to represent and handle uncertainty information in optimization models for reliable decisions (Zhang et al, 2009;Wang et al, 2012;Housh et al, 2013).…”

Section: G R a P H I C A L Abstractmentioning

confidence: 99%

Reliability-oriented multi-objective optimal decision-making approach for uncertainty-based watershed load reduction

Dong

Liu

et al. 2015

Science of The Total Environment

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Section: G R a P H I C A L Abstractmentioning

confidence: 99%

Reliability-oriented multi-objective optimal decision-making approach for uncertainty-based watershed load reduction

Dong

Liu

et al. 2015

Science of The Total Environment

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“…In comparison with similar approaches already reported in the literature [8,[10][11][12], the proposed EMS presents an alternative to generating scenarios for a stochastic programming approach, and focuses on solving the problem of determining the probability of occurrence of each scenario. The main drawbacks of stochastic programming arises from the use of probability density functions (p.d.f) of variables whose p.d.f is not completely known.…”

Section: Generation Of Scenariosmentioning

confidence: 99%

A Novel Stochastic-Programming-Based Energy Management System to Promote Self-Consumption in Industrial Processes

2018

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Abstract:The introduction of non-conventional energy sources (NCES) to industrial processes is a viable alternative to reducing the energy consumed from the grid. However, a robust coordination of the local energy resources with the power imported from the distribution grid is still an open issue, especially in countries that do not allow selling energy surpluses to the main grid. In this paper, we propose a stochastic-programming-based energy management system (EMS) focused on self-consumption that provides robustness to both sudden NCES or load variations, while preventing power injection to the main grid. The approach is based on a finite number of scenarios that combines a deterministic structure based on spectral analysis and a stochastic model that represents variability. The parameters to generate these scenarios are updated when new information arrives. We tested the proposed approach with data from a copper extraction mining process. It was compared to a traditional EMS with perfect prediction, i.e., a best case scenario. Test results show that the proposed EMS is comparable to the EMS with perfect prediction in terms of energy imported from the grid (slightly higher), but with less power changes in the distribution side and enhanced dynamic response to transients of wind power and load. This improvement is achieved with a non-significant computational time overload.

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“…This eliminates the need to consistently reorder products and can give [17] 4. Recycle: Recycling acts as a last resort for companies, allowing them to send away materials, they cannot use to be made into something else.…”

Section: Reusementioning

confidence: 99%

TREATMENT OF INDUSTRIAL WASTES: ISSUES, CHALLENGES & SOLUTIONS

Kumar¹

2017

WJPR

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Industrial wastes have done distress to the environment and human health. Industrial wastes can be organic wastes or inorganic wastes based on their components; solid wastes, semi-solid wastes and liquid (gaseous) wastes based on their species; hazardous wastes and common wastes depending on pollution characteristics. Every year, large quantities of industrial wastes are generated from the growing industries and have become a major source of pollution and serious health concerns. Developing countries face a major challenge in management and disposal of industrial waste and they specially need to confront the adequate treatment, disposal facilities and training of qualified personnel. In this review, we have highlighted the important aspects, challenges and solutions for waste generated from dairy, pulp and paper industries and very importantly we have discussed the problem and concerns of solid waste management. Keeping in mind, the problems being faced in management of industrial waste, this review could help design strategies and solution to industrial waste management.

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An interval-valued fuzzy-stochastic programming approach and its application to municipal solid waste management

Cited by 57 publications

References 34 publications

Reliability-oriented multi-objective optimal decision-making approach for uncertainty-based watershed load reduction

Reliability-oriented multi-objective optimal decision-making approach for uncertainty-based watershed load reduction

A Novel Stochastic-Programming-Based Energy Management System to Promote Self-Consumption in Industrial Processes

TREATMENT OF INDUSTRIAL WASTES: ISSUES, CHALLENGES & SOLUTIONS

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