Model-size reduction techniques for large-scale biomass production and supply networks

Energy

Volumn 36, Issue 8, 2011, Pages 4599-4608

  Lam, Hon Loong ^a,b   Klemeš, Jiří Jaromír ^b   Kravanja, Zdravko ^a  

^a UNIVERSITY OF MARIBOR   (Slovenia)

^b UNIVERSITY OF PANNONIA   (Hungary)

Author keywords

Biomass supply chain; MILP; Model size reduction techniques

Indexed keywords

BIOMASS; LINEAR SYSTEMS; SUPPLY CHAIN MANAGEMENT; SUPPLY CHAINS;

BIOMASS PRODUCTIONS; BIOMASS SUPPLY CHAIN; COMPUTATIONAL TIME; LINEAR SYSTEM SOLUTION; MILP; MODEL-SIZE REDUCTION TECHNIQUES; NUMBER OF COMPONENTS; REDUCTION TECHNIQUES; SUPPLY CHAIN MODELS; SUPPLY NETWORKS; TIME REDUCTION;

SIZE DETERMINATION;

BIOMASS; COMPUTER SIMULATION; LINEARITY; MAGNITUDE; NUMERICAL MODEL; RENEWABLE RESOURCE;

EID: 79961028724     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2011.03.036     Document Type: Article

References (14)

1. Lund H., Østergaard P.A., Stadler I. Towards 100% renewable energy systems. Applied Energy 2010, 88(2):419-421.
2. Segurado R., Krajačić G., Duić N., Alves L. Increasing the penetration of renewable energy resources in S. Vicente, Cape Verde. Applied Energy 2010, 88(2):466-472.
3. Lam H.L., Varbanov P., Klemeš J. Optimisation of regional energy supply chains including renewables: P-graph approach. Computers and Chemical Engineering 2010, 34:782-792.
4. Junginger M., Faaij A., Van den Brock R., Koopmans A., Hulscher W. Fuel supply strategies for large-scale bio-energy projects in developing countries. Electricity generation from agricultural and forest residues in northeastern Thailand. Biomass and Bioenergy 2001, 21:259-275.
5. Raven R.P.J.M., Gregersen H.H. Biogas plants in Denmark: successes and setbacks. Renewable and Sustainable Energy Reviews 2007, 11:116-132.
6. Lam H.L., Varbanov P., Klemeš J. Development of a graphical analysis method for renewable energy supply chain. Energy for sustainable future 2008, 209-218. University of Pannonia Library Archives, UoP Press 2008/50, Veszprém, Hungary. P. Varbanov, J. Klemeš, I. Bulatov (Eds.).
7. Čuček L., Lam H.L., Klemeš J., Varbanov P., Kravanja Z. Synthesis of regional networks for the production and supply of bioenergy and food. Clean Technologies and Environmental Policy 2010, 12:635-645.
8. Khazraee S.M., Jahanmiri A.H., Ghorayshi S.A. Model reduction and optimization of reactive batch distillation based on the adaptive neuro-fuzzy inference system and differential evolution. Neural Computer & Application 2011, 10.1007/s00521-010-0364-x.
9. Barrio E.P.D., Lefebvre G., Behar P., Bailly N. Using model size reduction techniques for thermal control applications in buildings. Energy and Buildings 2000, 33(1):1-14.
10. Friedler F., Tarjan K., Huang Y.W., Fan L.T. Graph-theoretical approach to process synthesis: axioms and theorems. Chemical Engineering Science 1992, 47:1972-1988.
11. Holló C., Imreh B., Imreh C. Reduction techniques for the PNS problems: a novel technique and a review. Optimisation Engineering 2009, 10:351-361.
12. Varbanov P., Friedler F. P-graph methodology for cost-effective reduction of carbon emissions involving fuel cell combined cycles. Applied Thermal Engineering 2008, 28(16):2020-2029.
13. Dreher D.B., Harley R.A. A fuel based inventory for heavy duty diesel truck emissions. Journal of the Air and Waste Management Association 1998, 48:352-358.
14. GoodYear, Factors affecting truck fuel economy, [accessed 01.12.2010]. http://www.goodyear.com/truck/support/fuel_econ.html.