scholarly journals Decision support for biogas production from the utilisation of agricultural and livestock wastes

2021 ◽  
Vol 4 (3) ◽  
pp. 235
Author(s):  
Grigorios Rekleitis ◽  
Katherine Joanne Haralambous
Keyword(s):  
Decision Support ◽  
Biogas Production

scholarly journals BIOLEACH: A New Decision Support Model for the Real-Time Management of Municipal Solid Waste Bioreactor Landfills

2020 ◽  
Vol 17 (5) ◽  
pp. 1675 ◽  
Author(s):  
Javier Rodrigo-Ilarri ◽  
María-Elena Rodrigo-Clavero ◽  
Eduardo Cassiraga
Keyword(s):  
Organic Matter ◽  
Decision Support ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Real Time ◽  
Time Management ◽  
Biogas Production ◽  
Bioreactor Landfills ◽  
Decision Support Model ◽  
The Real

This paper introduces BIOLEACH, a new decision support model for the real-time management of municipal solid waste bioreactor landfills that allows estimating the leachate and biogas production. Leachate production is estimated using an adaptation of the water balance equation which considers every hydrological component and the water consumed by anaerobic organic matter degradation to create biogas and the leachate recirculation flows pumped from the landfill pond under a bioreactor management scheme. Landfill gas production is estimated considering the leachate formation process as a coupled effect through the production or consumption of water. BIOLEACH uses waste production and climate data at monthly scale and computes leachate production accounting for the actual conditions inside the waste mass. Biogas production is computed simultaneously, considering the available water to adjust the chemical organic matter biodegradation. BIOLEACH is a valuable bioreactor managing tool as it allows calculating the recirculation volume of leachate that ensures optimal moisture conditions inside the waste mass and therefore maximizing biogas production. As an illustrative example of a BIOLEACH application, the model has been applied to a real landfill located in Murcia Region (Spain) showing the economic and environmental benefits derived from leachate superficial recirculation.

scholarly journals Environmental Decision Support System for Biogas Upgrading to Feasible Fuel

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1546 ◽  
Author(s):  
Eric Santos-Clotas ◽  
Alba Cabrera-Codony ◽  
Alba Castillo ◽  
Maria Martín ◽  
Manel Poch ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Biogas Production ◽  
Wide Spectrum ◽  
Flow Diagram ◽  
Biogas Upgrading ◽  
Environmental Criteria ◽  
Challenges And Opportunities ◽  
Environmental Decision

Biogas production is a growing market and the existing conversion technologies require different biogas quality and characteristics. In pursuance of assisting decision-makers in biogas upgrading an environmental decision support system (EDSS) was developed. Since the field is rapidly progressing, this tool is easily updatable with new data from technical and scientific literature through the knowledge acquisition level. By a thorough technology review, the diagnosis level evaluates a wide spectrum of technologies for eliminating siloxanes, H2S, and CO2 from biogas, which are scored in a supervision level based upon environmental, economic, social and technical criteria. The sensitivity of the user towards those criteria is regarded by the EDSS giving a response based on its preferences. The EDSS was validated with data from a case-study for removing siloxanes from biogas in a sewage plant. The tool described the flow diagram of treatment alternatives and estimated the performance and effluent quality, which matched the treatment currently given in the facility. Adsorption onto activated carbon was the best-ranked technology due to its great efficiency and maturity as a commercial technology. On the other hand, biological technologies obtained high scores when economic and environmental criteria were preferred. The sensitivity analysis proved to be effective allowing the identification of the challenges and opportunities for the technologies considered.

Clinical decision support

2013 ◽  
Vol 46 (2) ◽  
pp. 52
Author(s):  
CHRISTOPHER NOTTE ◽  
NEIL SKOLNIK
Keyword(s):  
Decision Support ◽  
Clinical Decision Support ◽  
Clinical Decision
Sign in / Sign up

Export Citation Format

Share Document