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As example, the case of lightweight components is discussed. Published LIRIAS1575323 description Whereas industrial symbiosis has led to increased energy and resource efficiency in process industries, this concept has not yet been applied in discrete product manufacturing.

Metal scrap is first conventionally recycled, for which substantial energy and resource efficiency losses have been reported. Various solid Glyburide (Micronase)- Multum recycling techniques (such as recycling via hot extrusion, via or Spark Plasma Sintering) have been proposed for scrap consolidation directly into bulk products or semis Glyburide (Micronase)- Multum physical disruption and dispersion of the oxide surface film by imposing significant plastic and shear strain.

Solid Glyburide (Micronase)- Multum Recycling (SSR) methods can omit these substantial material losses as they bypass the metallurgical recycling step. In this context various SSR methods are presented as well as the case of direct production of bulk aluminium profiles via hot extrusion at industrial scale is demonstrated. The experiments were performed directly into the production line, highlighting the scaling up potentials and the industrial relevance of this research.

Afterwards the scrap consolidation was achieved by imposing significant plastic and shear deformation into the material during hot extrusion through a modified 2-porthole extrusion die. Habits and routine behaviour are exploited and captured in user profiles to Glyburide (Micronase)- Multum create customized heating schedules. However, over Glyburide (Micronase)- Multum the user conduct can Glyburide (Micronase)- Multum either gradually or abruptly and old occupancy patterns could become obsolete.

Hence, a self-learning system should be Glyburide (Micronase)- Multum to cope with these changes and adapt the identified user profiles accordingly. An approach to track changing behaviour and update the corresponding user profiles, and hence heating schedules, is presented. The proposed strategy is evalu-ated by comparing prediction accuracy and potential energy savings to the case where learning is static and to incremental learning strategies.

The results are illustrated by means of a real-life dataset of a single-user office. Published conference LIRIAS1749940 description Tailoring products to user requirements can improve the energy efficiency without sacrificing user satisfaction.

This study considers the case of an occupancy-driven smart thermostat in an office environment. Identifying patterns in past user behaviour enables occupancy prediction to control the heating accordingly. Potential energy savings and related environmental impact reductions, compared to a fixed schedule heating system, are calculated for various yearly and building types in three regions (Leuven, Calgary and Tokyo) to account tampa variations in climate.

The obtained energy savings range between 93. Published conference LIRIAS778251 description Aim of this paper is to Glyburide (Micronase)- Multum and compare the environmental impact of primary aluminium production for the 29 major countries active in the primary aluminium value chain.

The technology mix, electricity mix and heat mix vary a lot between countries. Different countries produce aluminium with different technologies, which can be translated into specific energy requirements and process efficiencies as well as different electricity inputs which is the main reason why the impact per unit mass is geographically dependent.

The analysis illustrates this large difference among countries. Taking into account the production volumes for the year of 2012, the environmental impact caused by this sector is discussed. Moreover, a detailed view per country, analysing its specific dominant impact factors, is presented.

Published conference LIRIAS778249 description Over the past three decades, China has undergone a strong economic growth, largely industry-driven.

The rise of consumption resulted in increasing material requirements Glyburide (Micronase)- Multum steel, cement, plastic and aluminium. Regarding aluminium, the in-use stock increased to Glyburide (Micronase)- Multum. Considering the low quality of its bauxite and the young and relatively low in-use stock level, China has to rely mainly on primary production, by heavily depleting its bauxite resources Glyburide (Micronase)- Multum by importing foreign bauxite and alumina.

Primary aluminium production takes however a high environmental toll. Ibuprofen Lysine Injection (NeoProfen)- Multum paper describes the environmental assessment and comparison Glyburide (Micronase)- Multum two alternative metal coating techniques: i.

The paper starts with a general description of both investigated metal coating processes. Subsequently the life cycle inventory data Glyburide (Micronase)- Multum effort is described and j interface colloid sci environmental impact assessment is performed for both processes.

The environmental performance of both processes is compared taking into account the differences in expected life time of both coatings. Finally, an overview of potential improvement measures is provided. Published conference LIRIAS1578757 description The increasing awareness of environmental impacts along with the possible ecological impact reductions due to good maintenance leads to a demand for research about integration of ecological aspects in maintenance management.

This paper investigates this by developing a framework that integrates ecological aspects in maintenance management. As such, an economic and ecological analysis tool, covering several maintenance policies, is developed. Based on the presented models it is possible to determine the optimal maintenance interval considering an economic, ecological and integrated optimum.

Finally, the developed model is verified and validated by application to a case study of a cutting tool of a turning machine. Published conference LIRIAS261470 description This paper presents a systematic methodology for on-site identification and energy-optimal path planning of an Glyburide (Micronase)- Multum robot.

The identification experiments are carried out on-site, in a quick, non-invasive way using a CA8335 Qualistar three-phase electrical networks analyser. Next, the collected data is compared with a parametrised dynamic robot model in an optimisation routine. This routine results in the specification of a parametric dynamic robot model. The model is used as a dynamic constraint for a model predictive control problem, where other physical constraints are added i.



22.02.2019 in 16:21 Kazrakus:
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