scholarly journals Improving Resource Efficiency of Container-Instance Clusters on Clouds

2017 ◽  
Author(s):  
Uchechukwu Awada ◽  
Adam Barker
Keyword(s):  
Resource Efficiency

Resource efficiency in deinked pulp production: a review

TAPPI Journal ◽  
2014 ◽  
Vol 13 (11) ◽  
pp. 37-43 ◽  
Author(s):  
LIISA KOTANEN ◽  
MIKA KÖRKKÖ ◽  
ARI ÄMMÄLÄ ◽  
JOUKO NIINIMÄKI
Keyword(s):  
Waste Disposal ◽  
Resource Efficiency ◽  
Raw Material ◽  
Ecological Strategy ◽  
Recycled Paper ◽  
Paper Production ◽  
Recycled Pulp ◽  
Current State ◽  
The Cost ◽  
Pulp Production

The use of recovered paper as a raw material for paper production is by far the most economical and ecological strategy for the disposal of waste paper. However, paper production from recovered paper furnish generates a great amount of residues, and the higher the demand requirements for the end product, the higher the amount of rejected material. The reason for this is that the selectivity of the deinking process is limited; therefore, some valuable components are also lost in reject streams. The rejection of usable components affects the economics of recycled paper production. As the cost of waste disposal continues to increase, this issue is becoming more and more severe. This paper summarizes the current state of the resource efficiency in recycled pulp production and provides information on the volumes of rejected streams and the usable material within them. Various means to use these reject streams are also discussed, including the main findings of a recent thesis by the main author. This review summarizes current internal and external use of reject streams generated in the deinking operations.

scholarly journals Mining Eco-Efficiency Measurement and Driving Factors Identification Based on Meta-US-SBM in Guangxi Province, China

2021 ◽  
Vol 18 (10) ◽  
pp. 5397
Author(s):  
Yonglin Li ◽  
Zhili Zuo ◽  
Deyi Xu ◽  
Yi Wei
Keyword(s):  
Economic Efficiency ◽  
Mining Industry ◽  
Resource Efficiency ◽  
Efficiency Measurement ◽  
Environmental Efficiency ◽  
External Factors ◽  
Beibu Gulf ◽  
Government Control ◽  
The Sustainable Development ◽  
Internal And External Factors

The mining industry is one of the pillar industries of Guangxi’s economic and social development. The output value of mining and related industries accounts for 27% of the whole district’s total industrial output value. Therefore, the mining eco-efficiency measurement in Guangxi can be of great significance for the sustainable development of Guangxi’s mining industry. This study adopted Meta-US-SBM to measure the mining eco-efficiency in Guangxi from 2008 to 2018, including economic efficiency, resource efficiency, and environmental efficiency. It used the standard deviation ellipse model to simulate the migration trend of four efficiencies in Guangxi and used GeoDetector and Tobit models to explore the internal and external factors that affect the mining eco-efficiency. The four efficiencies in Guangxi show large temporal and spatial heterogeneity, and the internal and external factors that affect the mining eco-efficiency are different. The following conclusions can be drawn. (1) Environmental efficiency and mining eco-efficiency are improving, while economic efficiency and resource efficiency are deteriorating. Cities bordering other provinces have a significantly better mining eco-efficiency than non-bordering cities. (2) The development center in Guangxi has migrated to the Beibu Gulf Economic Zone. (3) Natural resources index and mining economic scale have a great impact on the mining eco-efficiency, and with the increase of the mining economic scale, the mining eco-efficiency showed a typical “U-shaped” curve. Finally, this study put forward corresponding policy recommendations to improve the mining eco-efficiency in Guangxi from four aspects: opening-up, technological progress, regional coordination, and government control.

Using multiple input, multiple output formal control to maximize resource efficiency in architectures

2016 ◽  
Vol 44 (3) ◽  
pp. 658-670
Author(s):  
Raghavendra Pradyumna Pothukuchi ◽  
Amin Ansari ◽  
Petros Voulgaris ◽  
Josep Torrellas
Keyword(s):  
Multiple Input Multiple Output ◽  
Resource Efficiency ◽  
Formal Control ◽  
Multiple Input ◽  
Input Multiple Output

scholarly journals METHOD FOR IDENTIFYING SUITABLE COMPONENTS FOR FUNCTIONAL INTEGRATION – FOCUSING ON GEOMETRIC CHARACTERISTICS

2021 ◽  
Vol 1 ◽  
pp. 2047-2056
Author(s):  
Michael P. Voigt ◽  
Dominik Klaiber ◽  
Patrick Hommel ◽  
Daniel Roth ◽  
Hansgeorg Binz ◽  
...  
Keyword(s):  
Lightweight Design ◽  
Functional Integration ◽  
Resource Efficiency ◽  
Installation Space ◽  
Geometric Properties ◽  
Geometric Characteristics ◽  
Step Procedure ◽  
Cad Models ◽  
Selection Of

AbstractThe approach of functional integration has the potential to solve challenges regarding lightweight design and resource efficiency since the number of parts and therefore the weight and needed installation space can be reduced. One important step in developing integrative concepts is the pre-selection of suitable functions or components. Previous methods of pre-selection take various aspects into account. However, pre-selection based on these methods usually requires additional tables and forms, whose preparation and editing quickly becomes time-consuming. At the same time, most of the development engineers are working on CAD models. However, their use in the selection of suitable integration partners is not yet supported sufficiently. The development of more than 80 concepts on five different vehicles has shown that the consideration of geometric properties (position, orientation, size) is effective, as they can be identified with minimal analysis effort while working on CAD. In this paper a four-step procedure is presented how integration partners can be identified directly on the basis of CAD models. A following evaluation with development engineers in practice completes the research.

scholarly journals Impact of Cycle Time and Payload of an Industrial Robot on Resource Efficiency

Robotics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 33
Author(s):  
Florian Stuhlenmiller ◽  
Steffi Weyand ◽  
Jens Jungblut ◽  
Liselotte Schebek ◽  
Debora Clever ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Resource Efficiency ◽  
Life Cycle Costs ◽  
Gas Emissions ◽  
Cycle Times ◽  
The Individual

Modern industry benefits from the automation capabilities and flexibility of robots. Consequently, the performance depends on the individual task, robot and trajectory, while application periods of several years lead to a significant impact of the use phase on the resource efficiency. In this work, simulation models predicting a robot’s energy consumption are extended by an estimation of the reliability, enabling the consideration of maintenance to enhance the assessment of the application’s life cycle costs. Furthermore, a life cycle assessment yields the greenhouse gas emissions for the individual application. Potential benefits of the combination of motion simulation and cost analysis are highlighted by the application to an exemplary system. For the selected application, the consumed energy has a distinct impact on greenhouse gas emissions, while acquisition costs govern life cycle costs. Low cycle times result in reduced costs per workpiece, however, for short cycle times and higher payloads, the probability of required spare parts distinctly increases for two critical robotic joints. Hence, the analysis of energy consumption and reliability, in combination with maintenance, life cycle costing and life cycle assessment, can provide additional information to improve the resource efficiency.

scholarly journals Analgesia and/or anaesthesia during piglet castration – part II: practicability of farm protocols, resource efficiency and economic implications

2021 ◽  
Vol 20 (1) ◽  
pp. 472-478
Author(s):  
Annalisa Scollo ◽  
Maria Costanza Galli ◽  
Barbara Contiero ◽  
Giulia Maria De Benedictis ◽  
Beatrice Orlandi ◽  
...  
Keyword(s):  
Resource Efficiency ◽  
Economic Implications
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