Multi-scale system modelling under circular bioeconomy

2018 ◽  
pp. 833-838 ◽  
Author(s):  
Miao Guo
Keyword(s):  
System Modelling ◽  
Multi Scale

Multi-Scale, Multi-Dimensional Modelling of Future Energy Systems

2015 ◽  
pp. 113-135 ◽  
Author(s):  
Catalina Spataru ◽  
Andreas Koch ◽  
Pierrick Bouffaron
Keyword(s):  
Material Science ◽  
Control Strategies ◽  
Energy Systems ◽  
Simulation Models ◽  
Energy System ◽  
System Modelling ◽  
Multi Scale ◽  
Future Challenges ◽  
Urban Energy ◽  
Power System Engineering

This chapter provides a discussion of current multi-scale energy systems expressed by a multitude of data and simulation models, and how these modelling approaches can be (re)designed or combined to improve the representation of such system. It aims to address the knowledge gap in energy system modelling in order to better understand its existing and future challenges. The frontiers between operational algorithms embedded in hardware and modelling control strategies are becoming fuzzier: therefore the paradigm of modelling intelligent urban energy systems for the future has to be constantly evolving. The chapter concludes on the need to build a holistic, multi-dimensional and multi-scale framework in order to address tomorrow's urban energy challenges. Advances in multi-scale methods applied to material science, chemistry, fluid dynamics, and biology have not been transferred to the full extend to power system engineering. New tools are therefore necessary to describe dynamics of coupled energy systems with optimal control.

Multi-scale enhancement fusion for underwater sea cucumber images based on human visual system modelling

2020 ◽  
Vol 175 ◽  
pp. 105608
Author(s):  
Pengfei Guo ◽  
Delu Zeng ◽  
Yunbo Tian ◽  
Shuangyin Liu ◽  
Hantao Liu ◽  
...  
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Sea Cucumber ◽  
System Modelling ◽  
Multi Scale

Efficiency considerations in triangular adaptive mesh refinement

2009 ◽  
Vol 367 (1907) ◽  
pp. 4577-4589 ◽  
Author(s):  
Jörn Behrens ◽  
Michael Bader
Keyword(s):  
Data Structures ◽  
Adaptive Mesh Refinement ◽  
Adaptive Mesh ◽  
System Modelling ◽  
Complex Data ◽  
Lower Efficiency ◽  
Multi Scale ◽  
Classical Mathematics ◽  
Refined Meshes ◽  
Computational Sciences

Locally or adaptively refined meshes have been successfully applied to simulation applications involving multi-scale phenomena in the geosciences. In particular, for situations with complex geometries or domain boundaries, meshes with triangular or tetrahedral cells demonstrate their superior ability to accurately represent relevant realistic features. On the other hand, these methods require more complex data structures and are therefore less easily implemented, maintained and optimized. Acceptance in the Earth-system modelling community is still low. One of the major drawbacks is posed by indirect addressing due to unstructured or dynamically changing data structures and correspondingly lower efficiency of the related computations. In this paper, we will derive several strategies to circumvent the mentioned efficiency constraint. In particular, we will apply recent computational sciences methods in combination with results of classical mathematics (space-filling curves) in order to linearize the complex data and access structure.

Quantifying the value proposition for white clover persistence on a New Zealand summer-dry hill-country farm

2020 ◽  
Vol 82 ◽  
pp. 199-209
Author(s):  
Mike B. Dodd ◽  
Katherine N. Tozer ◽  
Iris Vogeler ◽  
Rose Greenfield ◽  
David R. Stevens ◽  
...  
Keyword(s):  
White Clover ◽  
Net Present Value ◽  
Moisture Stress ◽  
Simulation Modelling ◽  
Low Fertility ◽  
System Modelling ◽  
Value Proposition ◽  
Hill Country ◽  
The North ◽  
Farm System

The improvement in forage quality and quantity of summer-dry hill country pasture resulting from the introduction of clover is well recognised. However, ensuring the persistence of the commonly availablecultivars is challenging, in the face of seasonal moisture stress, intensive grazing, competition from established well-adapted pasture species, low soil fertility and low soil pH – conditions typical of the East Coast of the North Island. Here we quantify the value proposition associated with the introduction of white clover into a case study on a Gisborne sheep and beef farm, using a six-step process. A topographically explicit approach is taken, using an understanding of the underlying spatial variability, based on a combination of soil and pasture measurements, APSIM simulation modelling of pasture growth and farm system modelling of enterprise performance. We show that from a baseline of a typical low-fertility, diverse species hill country pasture, white clover introduction can increase spring and summer forage consumption by 17%, enabling inclusion of an additional 6-month bull finishing enterprise generating a 32% greater carcass weight production and leading to a 49% improvement in farm system EBIT. This represents a positive net present value of over $360,000 for the original investment in white clover establishment into existing pastures.

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