Designing a sustainable stochastic electricity generation network with hybrid production strategies

This paper aims to design a sustainable stochastic electricity production network where fossil fuels-based, biomass-based, and co-firing-based production strategies are simultaneously considered in order to take advantage of all the three production strategies. A multi-objective stochastic mixed int...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of production research Jg. 57; H. 8; S. 2304 - 2326
Hauptverfasser: Gonela, Vinay, Salazar, Dalila, Zhang, Jun, Osmani, Atif, Awudu, Iddrisu, Altman, Barbara
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Taylor & Francis 18.04.2019
Taylor & Francis LLC
Schlagworte:
Economic analysis
Economic models
Electricity
electricity generation network
Fossil fuels
Hybrid production strategy
improved augmented -constraint method
Integer programming
Linear programming
Mixed integer
multi-objective stochastic mixed integer linear programming
Renewable energy
Social factors
sustainability
ISSN:0020-7543, 1366-588X
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper aims to design a sustainable stochastic electricity production network where fossil fuels-based, biomass-based, and co-firing-based production strategies are simultaneously considered in order to take advantage of all the three production strategies. A multi-objective stochastic mixed integer linear programming model is proposed to achieve economic feasibility, as well as environmental and social benefits under multiple uncertainties. The model is solved by using the improved augmented epsilon constraint method. A case study is used to illustrate the effectiveness of the proposed model. Pareto optimal analysis is conducted to understand the trade-off between economic, environmental, and social aspects of sustainability.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0020-7543
1366-588X
DOI:10.1080/00207543.2018.1516900