Economic modeling of woody biomass utilization for bioenergy: a case study in West Virginia

2011 ◽  
Author(s):  
Jinzhuo Wu ◽  
Jingxin Wang ◽  
Damon Hartley ◽  
Joseph McNeel
Keyword(s):  
West Virginia ◽  
Woody Biomass ◽  
Economic Modeling ◽  
Biomass Utilization

Economic modeling of woody biomass utilization for bioenergy and its application in central Appalachia, USA

2011 ◽  
Vol 41 (1) ◽  
pp. 165-179 ◽  
Author(s):  
Jinzhuo Wu ◽  
Jingxin Wang ◽  
Joseph McNeel
Keyword(s):  
West Virginia ◽  
Programming Model ◽  
Woody Biomass ◽  
Economic Modeling ◽  
Mixed Integer ◽  
Base Case ◽  
Case Scenario ◽  
Base Case Scenario ◽  
Biomass Utilization ◽  
Price Demand

A mixed integer programming model was developed to estimate the delivered cost of woody biomass, including the costs associated with stumpage, bundling (if any), extraction, storage, loading and hauling, and chipping–grinding under different woody biomass handling systems. The model was designed to optimize a woody biomass based biofuel facility’s location with the objective of minimizing the total annual delivered cost of woody biomass under resource and operational constraints. The model was applied in the central Appalachian region within the state of West Virginia. Results showed that the optimal plant location would be at Addison or Grantsville in West Virginia, depending on the system used when daily demand is 900 tonnes of dry woody biomass. For that base-case scenario, the average delivered cost ranged from $2.30·GJ–1 to $3.02·GJ–1 across the systems. Extensive sensitivity analysis was performed under different scenarios, including biomass availability and purchase–stumpage price, demand, extraction distance, and fuel pricing. The delivered cost was mostly affected by woody biomass demand. Skidding distance had the least impact on the delivered cost. The results would be useful in facilitating the research and economic development of woody biomass utilization for bioenergy in the region.

Quantitative Comparison of Active and Passive Stormwater Infrastructure: Case Study in Beckley, West Virginia

2018 ◽  
Vol 2018 (9) ◽  
pp. 4298-4311
Author(s):  
Dayton Marchese ◽  
Jeremiah Johnson ◽  
Nicholas Akers ◽  
Matt Huffman ◽  
Viktor Hlas
Keyword(s):  
West Virginia ◽  
Quantitative Comparison

scholarly journals Decision Support for the (Inter-)Basin Management of Water Resources Using Integrated Hydro-Economic Modeling

Hydrology ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 42
Author(s):  
Gerald Norbert Souza da Silva ◽  
Márcia Maria Guedes Alcoforado de Moraes
Keyword(s):  
Decision Support ◽  
Water Resources ◽  
Water Allocation ◽  
Hydrological Modeling ◽  
Well Being ◽  
Water Transfer ◽  
Economic Modeling ◽  
Trade Offs ◽  
Study Results

The development of adequate modeling at the basin level to establish public policies has an important role in managing water resources. Hydro-economic models can measure the economic effects of structural and non-structural measures, land and water management, ecosystem services and development needs. Motivated by the need of improving water allocation using economic criteria, in this study, a Spatial Decision Support System (SDSS) with a hydro-economic optimization model (HEAL system) was developed and used for the identification and analysis of an optimal economic allocation of water resources in a case study: the sub-middle basin of the São Francisco River in Brazil. The developed SDSS (HEAL system) made the economically optimum allocation available to analyze water allocation conflicts and trade-offs. With the aim of providing a tool for integrated economic-hydrological modeling, not only for researchers but also for decision-makers and stakeholders, the HEAL system can support decision-making on the design of regulatory and economic management instruments in practice. The case study results showed, for example, that the marginal benefit function obtained for inter-basin water transfer, can contribute for supporting the design of water pricing and water transfer decisions, during periods of water scarcity, for the well-being in both basins.

scholarly journals Exploring the Feasibility of Comprehensive Uncertainty Assessment in Health Economic Modeling: A Case Study

2021 ◽  
Author(s):  
Svenja Petersohn ◽  
Sabine E. Grimm ◽  
Bram L.T. Ramaekers ◽  
Arina J. ten Cate-Hoek ◽  
Manuela A. Joore
Keyword(s):  
Health Economic ◽  
Uncertainty Assessment ◽  
Economic Modeling
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