Journal
RENEWABLE ENERGY
Volume 139, Issue -, Pages 1227-1240Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2019.03.027
Keywords
Multi-objective optimization; Biogas; Supply chain
Funding
- Mexican Council for Science and Technology (CONACYT)
- Council for Scientific Research (CIC) of Universidad Michoacana de San Nicolds de Hidalgo in Mexico
Ask authors/readers for more resources
This paper presents a multi-objective optimization approach for biogas supply chains based on a superstructure to satisfy the biogas and biofertilizer demands in a geographical region at the maximum profit and the minimum environmental impact. This approach accounts for the optimal location for processing and purification technologies used to produce the biogas and biofertilizer as well as to determinate if a technology should be installed or not. Two case studies were solved for a geographical region in Mexico to show the applicability of the proposed methodology. One is the sale of purified biogas exclusively and the other one involves the sale of both non-purified and purified biogas. The results show that the implementation of the proposed optimization methodology yields significant economic and environmental benefits due to the simultaneous increase in the total annual profit and greenhouse gas emission savings. (C) 2019 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available