Network design and technology management for waste to energy production: An integrated optimization framework under the principles of circular economy
The design of waste to bioenergy supply chains (W-BESC) is critically important for meeting the circular economy (CE) goals, whilst also ensuring environmental sustainability in the planning and operation of energy systems. This study develops a novel optimization methodology to aid sustainable desi...
Gespeichert in:
Veröffentlicht in: | Energy (Oxford) 2018-01, Vol.143, p.911-933 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | The design of waste to bioenergy supply chains (W-BESC) is critically important for meeting the circular economy (CE) goals, whilst also ensuring environmental sustainability in the planning and operation of energy systems. This study develops a novel optimization methodology to aid sustainable design and planning of W-BESC that comprise multiple technologies as well as multiple product and feedstock types. The methodology identifies the optimum supply chain configuration and plans the logistics operations in a given region to meet the energy demand of specified nodes. A scenario based fuzzy multi objective modelling approach is proposed and utilized to capture the economic and environmental sustainability aspects in the same framework. We test the proposed model using the entire West Midlands (WM) region from the United Kingdom (UK) as a case study. In this scope, a comprehensive regional supply chain is designed to meet the energy and biofertilizer demand of specific nodes considering available waste and crop type biomass in the region. Further analysis is conducted to reveal the impacts of main economic and technological parameters on the supply chain performance indicators.
•A methodology is developed to design multiple technology bioenergy supply chains.•The aim is to configure the supply chain and select the optimum technology.•The methodology captures sustainability aspects and uncertain parameters.•The methodology integrates mathematical modelling and fuzzy decision making.•The methodology is applied to a case study of West Midlands Region in the UK. |
---|---|
ISSN: | 0360-5442 1873-6785 |
DOI: | 10.1016/j.energy.2017.11.058 |