A dynamic model to optimize a regional energy system with waste and crops as energy resources for greenhouse gases mitigation

Han Song, Erik Dotzauer, Eva Thorin, Bozena Guziana, Tuomas Huopana and Jinyue Yan

Energy, 2012, vol. 46, issue 1, 522-532

Abstract: A dynamic model of a regional energy system has been developed to support sustainable waste treatment with greenhouse gases (GHG) mitigation, addressing the possibility for development towards a regional fossil fuel-free society between 2011 and 2030. The model is based on conventional mixed integer linear programming (MILP) techniques to minimize the total cost of regional energy systems. The CO2 emission component in the developed model includes both fossil and biogenic origins when considering waste, fossil fuels and other renewable sources for energy production. A case study for the county of Västmanland in central Sweden is performed to demonstrate the applicability of the developed MILP model in five distinct scenarios. The results show significant potential for mitigating CO2 emission by gradually replacing fossil fuels with different renewable energy sources. The MILP model can be useful for providing strategies for treating wastes sustainably and mitigating GHG emissions in a regional energy system, which can function as decision bases for formulating GHG reduction policies and assessing the associated economic implications.

Keywords: Waste; Regional energy system; Dynamic; Mixed integer linear programming; Fossil-fuel-free; Sustainable (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544212006093
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:46:y:2012:i:1:p:522-532

DOI: 10.1016/j.energy.2012.07.060

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().