A dynamic decision model for the optimal use of forest biomass for energy production

2016 ◽  
Vol 7 (4) ◽  
pp. 615-635 ◽  
Author(s):  
Francesco Frombo ◽  
Riccardo Minciardi ◽  
Michela Robba ◽  
Fulvia Rosso ◽  
Roberto Sacile
Keyword(s):  
Energy Production ◽  
Decision Model ◽  
Forest Biomass ◽  
Dynamic Decision Model ◽  
Biomass For Energy

scholarly journals EVOLUTION OF THE PRODUCTION AND PRICE OF FOREST BIOMASS FOR ENERGY

FLORESTA ◽  
2018 ◽  
Vol 49 (1) ◽  
pp. 011
Author(s):  
Thiago Manoel Sozinho ◽  
David Alexandre Buratto ◽  
Anadalvo Juazeiro Dos Santos ◽  
João Carlos Garzel Leodoro da Silva ◽  
José Roberto Frega
Keyword(s):  
Energy Production ◽  
Demand Curve ◽  
Supply And Demand ◽  
Forest Biomass ◽  
The State ◽  
Planted Forests ◽  
Native Forests ◽  
Demand Curves ◽  
The Right ◽  
Biomass For Energy

This study aimed to analyze the evolution of the production and price of biomass from native and planted forests of the state of Paraná (Brazil), between 1998 and 2015, based on the behavior of the prices of the products, according to variations of their supply or demand. The annual rates for growth of the price and quantity produced were calculated and related to the displacements of the supply and demand curves of the products. The results indicated a decrease in the quantity and an increase in the biomass price for native forests, which caused a shift in the supply curve to the left. For the biomass of planted forests, the demand curve shifted to the right due to the demand increase of this product for energy production. The behavior of both curves indicated a substitution of the biomass from native forests to biomass from planted forests due to factors related to the increase of environmental protection regarding the native forests located in the state of Paraná

AN OPTIMAL DYNAMIC DECISION MODEL FOR FOREST BIOMASS EXPLOITATION

2002 ◽  
Vol 35 (1) ◽  
pp. 77-82
Author(s):  
Davide Freppaz ◽  
Riccardo Minciardi ◽  
Michela Robba ◽  
Roberto Sacile
Keyword(s):  
Decision Model ◽  
Forest Biomass ◽  
Optimal Dynamic ◽  
Dynamic Decision Model

A Dynamic Decision Model for the Real-Time Control of Hybrid Renewable Energy Production Systems

2010 ◽  
Vol 4 (3) ◽  
pp. 323-333 ◽  
Author(s):  
Hanane Dagdougui ◽  
Riccardo Minciardi ◽  
Ahmed Ouammi ◽  
Michela Robba ◽  
Roberto Sacile
Keyword(s):  
Renewable Energy ◽  
Real Time ◽  
Energy Production ◽  
Decision Model ◽  
Production Systems ◽  
Real Time Control ◽  
Time Control ◽  
Renewable Energy Production ◽  
Hybrid Renewable Energy ◽  
Dynamic Decision Model

scholarly journals Biogenic vs. geologic carbon emissions and forest biomass energy production

GCB Bioenergy ◽  
2011 ◽  
Vol 4 (3) ◽  
pp. 239-242 ◽  
Author(s):  
John S. Gunn ◽  
David J. Ganz ◽  
William S. Keeton
Keyword(s):  
Carbon Emissions ◽  
Energy Production ◽  
Forest Biomass ◽  
Biomass Energy

Bayesian dynamic programming

1975 ◽  
Vol 7 (2) ◽  
pp. 330-348 ◽  
Author(s):  
Ulrich Rieder
Keyword(s):  
Dynamic Programming ◽  
Weak Convergence ◽  
Decision Model ◽  
Transition Probabilities ◽  
General State ◽  
Parameter Spaces ◽  
State Action ◽  
Total Rewards ◽  
Bayesian Dynamic Programming ◽  
Dynamic Decision Model

We consider a non-stationary Bayesian dynamic decision model with general state, action and parameter spaces. It is shown that this model can be reduced to a non-Markovian (resp. Markovian) decision model with completely known transition probabilities. Under rather weak convergence assumptions on the expected total rewards some general results are presented concerning the restriction on deterministic generalized Markov policies, the criteria of optimality and the existence of Bayes policies. These facts are based on the above transformations and on results of Hindererand Schäl.

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