Simulation Scenario Analysis of Operational Day to Day Storage System of Biomass Supply Chain for a Power Plant Case Study Based on Logistic Cost and Transportation Emissions

2021 ◽  
Author(s):  
Seyed Mojib Zahraee ◽  
Nirajan Shiwakoti ◽  
Peter Stasinopoulos
Keyword(s):  
Supply Chain ◽  
Power Plant ◽  
Scenario Analysis ◽  
Storage System ◽  
Biomass Supply ◽  
Transportation Emissions ◽  
Simulation Scenario ◽  
Logistic Cost

scholarly journals Optimal Design of a Forest-Based Biomass Supply Chain Based on the Decision maker’s Viewpoint Towards Risk

2019 ◽  
Vol 66 (4) ◽  
pp. 509-519 ◽  
Author(s):  
Shaghaygh Akhtari ◽  
Taraneh Sowlati ◽  
Verena C Griess
Keyword(s):  
Supply Chain ◽  
Decision Maker ◽  
Decision Rules ◽  
Energy Prices ◽  
Biomass Supply ◽  
Management Literature ◽  
Future Events ◽  
Uncertain Future ◽  
Biomass Availability

Abstract Economic viability is one of the main considerations in bioenergy and biofuel projects and is impacted by uncertainty in biomass availability, cost, and quality, and bioenergy and biofuel demand and prices. One important aspect of decisionmaking under uncertainty is the viewpoint of the decision maker towards risk, which is overlooked in the biomass supply chain management literature. In this paper, we address this gap by evaluating alternative supply chain designs taking into account uncertain future conditions resulting from changes in biomass availability and cost, and bioproduct and energy prices. Three decision rules, maximax, minimax regret, and maximin, representing, respectively, optimistic, opportunistic, and pessimistic perspectives, are used for evaluation. It is assumed that the decision maker has knowledge about the potential future events, but the likelihood of their occurrence is unknown. According to the results of the case study, investment in bioenergy and biofuel conversion facilities was recommended based on optimistic and opportunistic viewpoints. Production of both bienergy and biofuels would not be profitable under pessimistic conditions. Therefore, investment in only bienergy facilities was prescribed under pessimistic conditions.

A Biomass Supply Chain Optimization Framework With Linear Approximation of Biomass Yield Distributions for Improved Land Use

2019 ◽  
Author(s):  
Nathanial Cooper ◽  
Anna Panteli ◽  
Nilay Shah
Keyword(s):  
Supply Chain ◽  
Biomass Yield ◽  
Supply Chain Optimization ◽  
Optimization Framework ◽  
Biomass Supply ◽  
Yield Information ◽  
Supply Chain Optimisation ◽  
The Impact

Abstract Biomass and the bio-economy have strong potential to help shift dependency away from petroleum. Supply chain optimisation (SCO) has been used to help other industries and can be used to boost biomass industry viability. Biomass supply chain models frequently average the biomass yield of large tracts of land in their calculations. However, there can be large variation in the biomass yield within those tracts, losing useful information. This work presents a biomass SCO framework which approximates the available quality of land by piecewise linearly approximation of the biomass yield distribution, and incorporates this information into the optimisation. The linear estimates of the biomass yield distributions allow the SCO model to make more informed decisions about quantity and location of biomass growth operations, affecting all downstream decisions. A case study of mainland Great Britain has been examined using the framework to illustrate the impact of retaining biomass yield information in the optimisation, versus averaging the yield across tracts of land. The case study found that using biomass yield linear estimates reduced the overall land usage by 10%. Further, it improved biomass output, which increased the quantity of bio-products produced. All of this led to an increase in the overall profit.

scholarly journals Transport in the biomass supply chain for a power plant

2019 ◽  
Vol 4 (3) ◽  
pp. 17-27
Author(s):  
Konrad Michalski ◽  
Mykolas Navickas ◽  
Marcin Rabe
Keyword(s):  
Supply Chain ◽  
Power Plant ◽  
Biomass Supply

scholarly journals Overview of MPC applications in supply chains: Potential use and benefits in the management of forest-based supply chains

2015 ◽  
Vol 24 (3) ◽  
pp. e039 ◽  
Author(s):  
Tatiana M. Pinho ◽  
A. Paulo Moreira ◽  
Germano Veiga ◽  
José Boaventura-Cunha
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Prediction Models ◽  
Management Tool ◽  
Dynamic Interactions ◽  
Biomass Supply ◽  
Model Predictive Controllers ◽  
Forest Supply Chain ◽  
Potential Use

<p><em>Aim of study</em>: This work aims to provide an overview of Model Predictive Controllers (MPC) applications in supply chains, to describe the forest-based supply chain and to analyse the potential use and benefits of MPC in a case study concerning a biomass supply chain.</p><p><em>Area of study</em>: The proposed methods are being applied to a company located in Finland.</p><p><em>Material and methods</em>: Supply chains are complex systems where actions and partners’ coordination influence the whole system performance. The increase of competitiveness and need of quick responses to the costumers implies the use of efficient management techniques. The control theory, particularly MPC, has been successfully used as a supply chain management tool. MPC is able to deal with dynamic interactions between the partners and to globally optimize the supply chain performance in the presence of disturbances. However, as far as is authors’ knowledge, there are no applications of this methodology in the forest-based supply chains. This work proposes a control architecture to improve the performance of the forest supply chain. The controller is based on prediction models which are able to simulate the system and deal with disturbances.</p><p><em>Main results</em>: The preliminary results enable to evaluate the impacts of disturbances in the supply chain. Thus, it is possible to react beforehand, controlling the schedules and tasks’ allocation, or alert the planning level in order to generate a new plan.</p><p><em>Research highlights</em>:   Overview of MPC applications in supply chains; forest-based supply chain description; case study presentation: wood biomass supply chain for energy production; MPC architecture proposal to decrease the operation times.</p><p><strong>Keywords</strong>: biomass; forest; Model Predictive Control; planning; supply chain.</p>

Sign in / Sign up

Export Citation Format

Share Document