Stochastic techno-economic evaluation model for biomass supply chain: A biomass gasification case study with supply chain uncertainties

2021 ◽  
Vol 152 ◽  
pp. 111644
Author(s):  
Shirleen Lee Yuen Lo ◽  
Bing Shen How ◽  
Sin Yong Teng ◽  
Hon Loong Lam ◽  
Chun Hsion Lim ◽  
...  
2011 ◽  
Vol 71-78 ◽  
pp. 451-455
Author(s):  
Yi Fang Zhao

Based on the build-and-run cycle of the energy-conservation building, this paper studied from the perspective of building energy-saving. It analyzed the amount of increased investment through the analysis of build-and-run cycle cost and economic benefits of the energy-conservation building throughout the life cycle.Finally it establishes an economic evaluation model for the energy-saving building.


2012 ◽  
Vol 472-475 ◽  
pp. 2670-2673
Author(s):  
Zhao Long Xu ◽  
Su Mei Xiao ◽  
Yu Qiang Shi

With the shortening of product life cycle, and the constant increasing of End-of-life Electromechanical Products, the processing of waste products appears especially important and urgent. This paper, based on an existing recycle model, has established an economic evaluation model of end-of-life electromechanical products. Based on the collection of a large amount of data and tests, the research and evaluation of the engine has proved it is suitability for remanufacturing.


2019 ◽  
Vol 66 (4) ◽  
pp. 509-519 ◽  
Author(s):  
Shaghaygh Akhtari ◽  
Taraneh Sowlati ◽  
Verena C Griess

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.


2012 ◽  
Vol 15 (7) ◽  
pp. A446 ◽  
Author(s):  
X. Wang ◽  
N. Bansback ◽  
A. Anis ◽  
A.D. Joshi ◽  
S. Rao ◽  
...  

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