Initial carbon quota allocation methods of power sectors: a China case study

2016 ◽  
Vol 84 (2) ◽  
pp. 1075-1089 ◽  
Author(s):  
Ru Li ◽  
Bao-Jun Tang
2005 ◽  
Vol 5 (3-4) ◽  
pp. 9-16
Author(s):  
C. Kim ◽  
D. Han

The primary objective of this study is to improve the methodology for water allocation focused on efficiency and risk aspects. To attain the primary objective, this study sets up an objective function to maximize social expected benefits, and considers three types of allocation methods. Three types of allocation methods are optimal, proportional, and fixed allocation between regions and service sectors. The results of case study area shows that the fixed allocation method is preferred to the proportional allocation in most cases except that the variance of flow is small with respect to efficiency. Also, efficient and less-risky allocation is simultaneously obtained in some cases, while efficiency and risk show the relation of trade-off in other cases.


2011 ◽  
Vol 55 (11) ◽  
pp. 1070-1077 ◽  
Author(s):  
Francesco Cherubini ◽  
Anders Hammer Strømman ◽  
Sergio Ulgiati

2019 ◽  
Vol 34 (5) ◽  
pp. 1027
Author(s):  
Ming-lei DING ◽  
Yu-xiang LI ◽  
Rong-qin ZHAO ◽  
Zhan-ping ZHANG ◽  
Li-peng HOU ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Ning Liu ◽  
Yaorong Cheng

This paper is going to study the shipper collaboration cost allocation problem in pickup and delivery (SCAPPD), which includes two crucial aspects, namely, the optimal redistribution of transport requests for minimization of the total cost of the alliance and equitable allocation of the shipper’s cost for keeping the stability of the alliance. We focus on the second issue and use core concept from cooperative game theory to develop an allocation methods, called Location Cost Allocation Model (LCAM), which take geographical location factor into account. As the goal of this study is to design an allocation tool that will be accepted in practice, we use the criteria of stability, consistency, and robustness to evaluate the LCAM, Shapley, Nucleolus, and the equal profit method (EPM). All four allocation methods are applied to both a case study and randomly generated instances. Our computational results show that the stability of the LCAM is as good as the nucleolus and EPM. In terms of consistency the LCAM performs best. LCAM also performs well in terms of robustness.


2012 ◽  
Vol 430-432 ◽  
pp. 1910-1913
Author(s):  
Dong Zhou ◽  
Chuan Lv ◽  
Yong Xiang Li

The maintenance allocation methods are important in the design and maintenance of product. However, these methods have lots of deficiencies in practical application, which is inconsistent with the purpose of the maintenance allocation. To allocate the system MTTR (Mean Time to Repair) to the subsystems more precisely and reasonably, a better model is needed. The aim of this paper is to develop a maintenance allocation model which can improve the applicability and operability, and solve the residue problem which exists in maintenance allocation. A simple case study is used to demonstrate how the model can be applied in a real case.


2020 ◽  
Vol 26 (6) ◽  
pp. 490-512
Author(s):  
Hassanean S.H. Jassim ◽  
Jan Krantz ◽  
Weizhuo Lu ◽  
Thomas Olofsson

Meeting increasingly ambitious carbon regulations in the construction industry is particularly challenging for earthmoving operations due to the extensive use of heavy-duty diesel equipment. Better planning of operations and balancing of competing demands linked to environmental concerns, costs, and duration is needed. However, existing approaches (theoretical and practical) rarely address all of these demands simultaneously, and are often limited to parts of the process, such as earth allocation methods or equipment allocation methods based on practitioners’ past experience or goals. Thus, this study proposes a method that can integrate multiple planning techniques to maximize mitigation of project impacts cost-effectively, including the noted approaches together with others developed to facilitate effective decision-making. The model is adapted for planners and contractors to optimize mass flows and allocate earthmoving equipment configurations with respect to tradeoffs between duration, cost, CO2 emissions, and energy use. Three equipment allocation approaches are proposed and demonstrated in a case study. A rule-based approach that allocates equipment configurations according to hauling distances provided the best-performing approach in terms of costs, CO2 emissions, energy use and simplicity (which facilitates practical application at construction sites). The study also indicates that trucks are major contributors to earthmoving operations’ costs and environmental impacts.


2018 ◽  
Vol 52 (5) ◽  
pp. 371-381 ◽  
Author(s):  
A. Nikitenko ◽  
E. Lavendelis ◽  
M. Ekmanis ◽  
R. Rumba

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