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Flexible biogas chain simulator

Authors: Pierie, Frank; Rajagopal, Madan; Wijbrandi, Wilco;

Flexible biogas chain simulator

Abstract

Organic wastes like cooking-waste, farm-waste and manure have detrimental effect on the environment, health and hygiene of people. Within India there are possibilities to manage the available biomass in an efficient way, which can bring environmental, health and economic benefits. Through anaerobic digestion, biomass can be converted into biogas and digestate, which can be used as renewable energy source and fertilizer respectively. However, there is a lack of knowledge on how to use the available biomass and, thus, its products in a beneficial way. This leads to the main question: How to fit biogas production within the existing energy infrastructure of India? Our approach involves modelling biogas chains from production to consumption and then analyse several different options. Within the Flexigas project a flexible BioGas simulator is being created, which is capable of simulating biogas production and consumption process. The simulator takes into account the location and availability of biomass, different biomass and biogas transport, anaerobic digesters, biogas upgraders and various cost involved in the biogas production process. A multi-touch User Interface is used for simulation control and result visualization. Results from the simulator shows how feasible it is to set up the biogas chains, its advantages and increases knowledge on effective biomass use.

Keywords

Technology, Energy, People and Society, energie, biogas, Economics and Management, leveringsketen, SDG 7 - Affordable and Clean Energy, SDG 9 - Industry, Innovation, and Infrastructure, supply chain, energy

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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