On Efficiency of the OpenFOAM-based Parallel Solver for the Heat Transfer in Electrical Power Cables

Proceedings of: First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014). Porto (Portugal), August 27-28, 2014.In this work, we study the efficiency of the OpenFOAM-based parallel solver for the heat conduction in electrical power cables. The 2D benchmark problem with three cables is used for our numerical tests. We study and compare the efficiency of conjugate gradient solver with diagonal incomplete Cholesky (DIC) preconditioner and generalized geometric algebraic multigrid solver (GAMG), which is available in Open- FOAM. The convergence and parallel scalability of the solvers are presented and analyzed. Parallel numerical tests are performed on the cluster of multicore computers.The work of authors was supported by Eureka project E!6799 POWEROPT "Mathematical modelling and optimization of electrical power cables for an improvement of their design rules". The work presented in this paper has been partially supported by EU under the COST programme Action IC1305, ’Network for Sustainable Ultrascale Computing (NESUS)’

The analysis of parallel OpenFOAM solver for the heat transfer in electrical power cables

Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016) Timisoara, Romania. February 8-11, 2016.Here we present the part of results obtained in PhD thesis “The investigation of efficiency of physical phenomena modelling using differential equations on distributed systems” by Andrej Bugajev. This work is dedicated to development of mathematical modelling software. While applying a numerical method it is important to take into account the limited computer resources, the architecture of these resources and how do methods affect software robustness. Three main aspects of this investigation are that software implementation must be efficient, robust and be able to utilize specific hardware resources. The hardware specificity in this work is related to distributed computations. The investigation is done for FVM method usage to implement efficient calculations of a very specific heat transferring problem. That lets to create technological components that make a software implementation robust and efficient. OpenFOAM open source software is selected as a basis for implementation of calculations and a few algorithms to solve efficiency issues are proposed. The FVM parallel solver is implemented and analyzed, it is adapted to heterogeneous cluster Vilkas.European Cooperation in Science and Technology. COSTThe paper was supported by NESUS project Winter School & PhD Symposium 2016

Distributed Parallel Computing for Visual Cryptography Algorithms

Proceedings of: Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015). Krakow (Poland), September 10-11, 2015.The recent activities to construct exascale and ultrascale distributed computational systems are opening a possibility to apply parallel and distributed computing techniques for applied problems which previously were considered as not solvable with the standard computational resources. In this paper we consider one global optimization problem where a set of feasible solutions is discrete and very large. There is no possibility to apply some apriori estimation techniques to exclude an essential part of these elements from the computational analysis, e.g. applying branch and bound type methods. Thus a full search is required in order to solve such global optimization problems. The considered problem describes visual cryptography algorithms. The main goal is to find optimal perfect gratings, which can guarantee high quality and security of the visual cryptography method. The full search parallel algorithm is based on master-slave paradigm. We present a library of C++ templates that allow the developer to implement parallel master-slave algorithms for his application without any parallel programming and knowledge of parallel programming API. These templates automatically give parallel solvers tailored for clusters of computers using MPI API and distributed computing applications using BOINC API. Results of some computational experiments are presented.The work presented in this paper has been partially supported by EU under the COST programme Action IC1305, ’Network for Sustainable Ultrascale Computing (NESUS)’

SUSTAINABLE DEVELOPMENT MANAGEMENT AND TRANSFRORMATION OF PLANNED ECONOMY TO MARKET ECONOMY

In the article the main requirements for sustainable economic development management system were formed using theoretical approach. According to the collected theoretical material, approaches of sustainable management of economic systems from the viewpoint of principles of sustainability are reviewed. The article evaluates the content and issues related to the environmental indicators, including the environmental space and the ecological footprint concepts, applied in sustainability measurement, as well

The negative externalities of the electricity industry and sustainability

This article offers an estimation of negative externalities and possibilities of achieving sustainable development in the energy sector. The authors analyse the concept of negative externalities in the energy sector as well as their estimation and internalisation in terms of the principles of sustainable development and environmental economics

PERSPECTIVES OF ECOLOGICAL AGRICULTURE IN LITHUANIA AS A FACTOR FOR SUSTAINABLE DEYELOPMENT

Sustainable agriculture synthesizes a variety of concepts associated with agricultural practices and their socio-economic impact. In general, it can be argued that sustainable agriculture must be ecologically sound, economically viable, and socially responsible [Ikerd, 1994], In this article some aspects of the development of sustainable agriculture in Lithuania are analysed within the framework of ecological economics. First, an outline of the problem is presented. Then the concept of sustainable development is shortly discussed. Finally, sustainable agriculture is discussed within the context of environmental economics and reąuirements for the development of sustainable agriculture in Lithuania are elaborated

An Assessment of Impact of Income Inequality on Sustainable Economic Growth in the Context of Saving

Income inequality projects a different impact on economic growth as it can both stimulate and slow down economic growth. The stimulating effect of income inequality is revealed via saving. Specifically, wealthy social classes dispose the capability to save more and devote a larger portion of their saving to investments and technological developments. However, environmental and social perspectives shall be taken into consideration when aiming for a sustainable development. This paper considers the effects of income inequality on sustainable economic growth in the context of saving for the EU-25 countries during the period of 2005–2013. The empirical research of this study is done using open code software package Gretl and working with panel data. Based on the relationship between income inequality ratio, economic growth and GDP per capita, countries have been divided into 4 clusters. Empirical results support impact of reciprocal action among income inequality, savings, economic growth, spending on social security to domestic material consumption, renewable energy in gross final energy consumption, municipal waste generation, municipal waste recycling, ammonia and greenhouse gas emissions to be insignificant in all four country cluster groups. Reciprocal action among income inequality, savings, economic growth, and spending on social security was estimated to increase emission of sulfur dioxides and nitrogen oxides, but reduced the amount of gross domestic energy consumption. The reciprocal action is estimated to increase emission of nitrogen oxides in the country cluster groups with relatively low income level and different relationship between income and economic growth levels

ENVIRONMENTAL KUZNETS CURVES: ECONOMIC IMPLICATIONS

The results of empirical studies on Kuznets environmental curves are discussed in the article as well as economic implications of findings of these studies. The relationship of economic growth and environmental impact has spurred fierce debates between growth optimists referring to the phenomenon of the environmental Kuznets curve, and pessimists referring to the limits to growth. The article draws some hints from a critical assessment of the literature on the environmental Kuznets curve. In particular it is argued that the optimistic implications of this literature on the sustainability management are not granted. However, environmental Kuznets curves analysis allows clarification of a few basic conditions to achieve pollution reduction with economic growth. These conditions can be met by implementing a systematic and strict environmental policy strategy aimed at shifting Kuznets relations downward

Applications for Ultrascale Computing

Studies of complex physical and engineering systems, represented by multi-scale and multi-physics computer simulations have an increasing demand for computing power, especially when the simulations of realistic problems are considered. This demand is driven by the increasing size and complexity of the studied systems or the time constraints. Ultrascale computing systems offer a possible solution to this problem. Future ultrascale systems will be large-scale complex computing systems combining technologies from high performance computing, distributed systems, big data, and cloud computing. Thus, the challenge of developing and programming complex algorithms on these systems is twofold. Firstly, the complex algorithms have to be either developed from scratch, or redesigned in order to yield high performance, while retaining correct functional behaviour. Secondly, ultrascale computing systems impose a number of non-functional cross-cutting concerns, such as fault tolerance or energy consumption, which can significantly impact the deployment of applications on large complex systems. This article discusses the state-of-the-art of programming for current and future large scale systems with an emphasis on complex applications. We derive a number of programming and execution support requirements by studying several computing applications that the authors are currently developing and discuss their potential and necessary upgrades for ultrascale execution.<br/