bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of computer-aided design system of sensitive elements of control and automation systems
Authors: Bibikov S V , Bolshakov V O , Kalinkina M E , Korobeynikov A G , Pirozhnikova O I , Tkalich V L 
Published: November 2019

Abstract
The subject of research is the element base of devices of control and automation systems used in modern weight- and force-measuring devices, in particular, consisting of annular elastic sensitive elements. The developing of annular elastic sensitive elements is based on the analysis of existing methods for calculating elastic elements, new algorithms and modified methods for calculating. The proposed automated methods for analyzing the statics and dynamics of the element base under investigation are based both on analytical methods of the classical mechanics of elastically deformed bodies and on numerical methods for the purpose of exploiting their advantages and compensating for the weaknesses. For the development of automated design systems for annular elastic sensitive elements, mathematical modeling of deformation processes in a solid was carried out and an analysis of their characteristics was carried out using the modern ANSYS software complex on the basis of the finite element method. The mathematical model of the annular elastic sensitive element has a high degree of adequacy, low laboriousness with high productivity and low time costs. The software package is based on generating the most geometric model, as well as creating nodes and elements. When calculating the frequencies and forms of free oscillations, a modal analysis is used for linear systems. The solutions obtained were refined by means of harmonic analysis and analysis of transient processes. The article proposes a new approach to calculate and design the force-measuring membrane elastic element of the force sensor used in industrial scales with modern computer simulation methods. The reasons for the sensor error are described. The possibility of reducing the nonlinearity of the elastic characteristic and hysteresis due to the geometric nonlinearity and dry friction in the supports is considered. Rational geometric parameters of the elastic element were determined by the methods of finite element modeling, which make it possible to significantly reduce measurement errors. The research results are implemented in the practice of calculating and designing real structures. The results of the dynamic calculation were compared with the experimental data. For this purpose, were used the bar-and-pic chart of application of load of the elastic sensitive elements. The developed system of computer-aided design of sensitive elements of annular elastic elements will allow to ensure the production of modern and competitive domestic element base of automation devices.
The procedure of developing the 3D model of a small-tonnage steel ship
Authors: Vorotnyuk A O , Nesin D U 
Published: November 2019

Abstract
This article deals with issues of development and consistency of industrial digital 3D-models of ships. Such models will incorporate a volumetric digital representation of the ship, hull structures, equipment, pipelines and pipe fittings, electrical equipment, propulsion devices, hull fittings that are described as a symbiosis of geometric models and numeric or alphanumeric attributes. The article describes an analysis of typical discrepancies (collisions), which would occur in a 3D model while designing a small-tonnage ship. The article provides some recommendations for the procedure of developing the 3D model of a small-tonnage steel ship. Those recommendations will considerably enhance the quality and speed of the development by avoiding a large number of typical collisions in the 3D model, while working in parallel. The proposed recommendations and rules have been worked out based on years of experience of developing 3D models of ships in high-level CAD. The worked-out-by-the-authors rules of priorities and sequence of developing a digital 3D model of the ship allow optimization of man-hours and ensure consistency of work being performed by different disciplines within the entity-the developer of the model.
A Mathematical Model of Tornado
Authors: Gavrikov M B , Taiurskii A A 
Published: November 2019

Abstract
We propose a mathematical model of tornado in the framework of continuum mechanics. According to this model, the swirling upward air motion in a tornado can be explained even without taking into account the Coriolis force or the vertical convection of warm air. Our results show that for a tornado to appear two factors are necessary: a powerful rotational motion of air in the upper atmosphere and the growth of air pressure from the center to the periphery of an expected region of tornado. The characteristics of air flow in tornado can be found by solving a boundary value problem for a nonlinear parabolic integro-differential equation for an unknown complex-valued temperature. We formulate this problem, propose an algorithm for its numerical solution, and examine its stationary solutions by the stabilization method.
Simulation of forest fires based on a two-dimensional three-phase model
Authors: Kuleshov A A , Myshetskaya E E , Yakush S E 
Published: November 2019

Abstract
A two-dimensional three-phase mathematical model of forest fires constructed by the method of averaging over the height of the forest fuel layer is considered. The gas phase in the model is described by gas dynamics equations with the k − ε turbulence model and the eddy breakup model to describe the rate of turbulent combustion and the rate of heat generation; the solid phase is described by a system of evolution equations for the change in the volume fractions of forest fuel and solid products of their pyrolysis with kinetic formulas for the rates of chemical reactions; and the disperse phase is described by the transfer equations for the mass and energy of solid burning particles in the wind field above the forest fuel layer. For the numerical implementation of the proposed model, a parallel software package is created. The results of calculations of the forest fire propagation with consideration of the basic physical-chemical processes and mechanisms typical of the real forest wildfire propagation are presented.
Optimization of the radiation transport calculation for quasi-one-dimensional model of the ionizing gas flows
Authors: Kozlov A N , Konovalov V S 
Published: November 2019

Abstract
Algorithms were developed to solve the problem of radiation transport based on the method of long characteristics, taking into account its optimization in the framework of the quasi-one-dimensional approximation used to study the axisymmetric flows of the ionizing gas in coaxial channels of plasma accelerators. The optimization of calculations of the integral radiation parameters allowed to significantly reduce the calculation time in comparison with three-dimensional model of radiation transport. Calculations of the radiation energy density and the radiation energy flux density, based on various methods, have shown that new algorithms provide high-quality solution of the radiation transport problem.
A new MPI/OpenMP code for numerical modeling of relativistic hydrodynamics by means adaptive nested meshes
Authors: Kulikov Igor , Chernykh Igor , Sapetina Anna , Prigarin Vladimir 
Published: November 2019

Abstract
Many astrophysical phenomena are associated with gas motion at relativistic velocities. The source of such currents are active galactic nuclei, microquasars, pulsars, gamma bursts, black holes, neutron stars, and gravitational waves. To study such phenomena, it is necessary to perform simulation within the scope of special relativistic hydrodynamics. One of the difficulties of modeling relativistic flows is the different scale of processes, which requires the use of both parallel computing and adaptive meshes.
Scalability investigation of parallel algorithms for plasma dynamics problems in open magnetic traps by simulation modeling
Authors: Weins D , Boronina M , Vshivkov V , Mesyats E , Dudnikova G , Chernykh I 
Published: November 2019

Abstract
This paper describes the use of predictive simulation modeling for investigating the scalability of parallel algorithms. The study is carried out using a multiagent approach. The general principles of designing a model for the execution of a parallel algorithm on a given supercomputer architecture are described along with their application for researching this algorithm. The paper also presents the results of simulating the execution of this algorithm on more than a million cores.
Synergetic urban microclimate and energy simulation parametric workflow
Authors: Natanian Jonathan , Maiullari Daniela , Yezioro Abraham , Auer Thomas 
Published: November 2019

Abstract
Although the interrelations between urban microclimates and energy demand have been acknowledged, few workflows integrate microclimatic boundary conditions to predict energy demand in parametric morphological studies. This paper helps bridge this gap by introducing a novel workflow which brings together energy and microclimatic modelling for a synergetic assessment at the block scale. The interrelation between form, energy and urban microclimatic conditions is explored here in the climatic context of Tel Aviv by coupling Envimet and EnergyPlus. The potential of this coupling is explored in three different block typologies, each tested for four different density scenarios focusing on the cooling demand on a typical hot day. Results show the substantial increase of as high as 50% in cooling demand when the microclimatic weather data is taken into account and indicate the potential to capitalize on new computational tools which allow to quantify the interrelations between urban form, microclimate and energy performance more accurately.
Mobile Urban Micrometeorological Monitoring (MUMiM)
Authors: Mauree Dasaraden , Coccolo Silvia , Deschamps Laurent , Loesch Pierre , Becquelin Paul , Scartezzini Jean-Louis 
Published: November 2019

Abstract
To understand the urban environment from a meteorological perspective in order to design better and more sustainable neighbourhoods, an open-source and low-cost meteorological device was developed and tested at the Ecole Polytechnique Fédérale de Lausanne (EPFL). The results underlined, for example, strong temperature gradients on the campus, particularly in built-up areas with a high density of artificial surfaces. Additionally, the outdoor human comfort was evaluated for multiple locations around the campus, underlying the impact of the urban surfaces as well as the city interface and the greening design. Such studies can be seen as crucial to provide information to stakeholders in the evaluation of their planning strategies either for mitigation (such as decrease of the urban heat island effect or greenhouse gas emissions) or for the adaptation (such as improvement of outdoor spaces to face future heat waves).
Bioclimatic building design considering urban microclimate
Authors: Lauzet Nicolas , Mauree Dasaraden , Colinart Thibaut , Musy Marjorie , Lapray Karine 
Published: November 2019

Abstract
The urban context is often simplified or neglected in building energy models (BEM) due to their incapacity to consider accurately all heat fluxes provided from the environment. Simplifying too much the urban context can have consequences on the accuracy of the BEM predictions. Many approaches exist to consider the impact of the urban environment on a building’s dynamic behaviour, its heating demand as well as the thermal comfort in summer. Taking into account BEM capabilities and the way consulting agencies work, a method is tested to consider the urban microclimate at the bioclimatic design stage of a building project.
Urban greening archetypes at the European scale
Authors: Houmani Cynthia , Krafess Ismaël , Coccolo Silvia , Mauree Dasaraden , Perera A.T. Dasun , Mohajeri Nahid , Scartezzini Jean Louis 
Published: November 2019

Abstract
Urban greening has great ecological, social and economic benefits for the built environment. It also has significant impacts on the microclimate and urban energy balance. In this study, we quantify the impacts of urban greening on the ground surface temperatures and the microclimate (e.g. the air temperature and the wind speed variation) as well as the cooling demand at the European scale. Specific archetypes for seventeen European cities are generated based on each city’s geometrical and statistical data. Additionally, several greening scenarios are proposed. The results show the positive effects of urban greening on mitigating rising ambient air temperatures, decreasing annual average ground-surface temperatures, and reducing the cooling demand, mostly in South European cities.
A morphological based PV generation and energy consumption predictive model for Singapore neighbourhood
Authors: Poon Kin Ho , Kaempf Jerome 
Published: November 2019

Abstract
The Singapore government emphasises the importance of sustainable development of the country and set an ambitious target for the adoption of solar power in 2014. Though solar energy is the most promising renewable energy source for Singapore, there is insufficient space for large scale PV panels deployment and hence PV systems have to be integrated into the building environment. Urban morphology determines the effectiveness of PV panels in the urban environment and hence it is important to design the new developments carefully. However, there is a lack of tool and knowledge to estimate the solar energy potential of a new planning zone, so this study developed morphological based PV output and energy consumption predictive models to identify the urban form for effective PV systems deployment by multilinear regression. Three equations are built for predicting the building cooling energy consumption, PV generation on rooftop and façade and the R2 of these three equations are 0.33, 0.44 and 0.48 respectively. The regression equations show that the urban setting for maximizing PV generation and minimizing cooling energy consumption is different. Furthermore, the low R2 values of the three equations reflects that building the predictive models by linear regression may not be the most suitable option and other machine learning algorithms should be explored.
IoT platform and infrastructure for data-driven optimization and control of building energy system operation
Authors: Brümmendorf Erik , Ziegeldorf Jan Henrik , Fütterer Johannes Peter 
Published: November 2019

Abstract
Optimizing the operation of energy systems as typically found in buildings, plants, and districts has the potential to greatly reduce primary energy consumption and maintenance expenses. Due to the complexity and nontransparency of these systems, costs of implementing optimizations may well consume or exceed potential savings. Data-driven methods for the automatic analysis and optimization of energy systems represent a promising solution to this dilemma. In this paper, we present a real-world IoT cloud platform for automatic data-driven analysis and control of energy systems that promotes usability, scalability, and efficiency. The presented solution has been successfully developed to market maturity in agile collaboration with industry and research, and is now commercially offered by aedifion GmbH.
Electricity analysis for energy management in neighbourhoods: Case study of a large housing cooperative in Norway
Authors: Sørensen Åse Lekang , Sartori Igor , Lindberg Karen Byskov , Andresen Inger 
Published: November 2019

Abstract
As a basis for energy management in apartment blocks, this paper characterises electricity use in a Norwegian housing cooperative with 1,058 apartments. In 2018, the average specific electricity delivery to apartments and common areas is 56.7 kWh/m2 or 2,301 kWh per resident, in addition to heat delivery from district heating. Average annual electricity use in the apartments is 4,362 kWh and average maximum hourly load is 3.2 kWh/h. The electricity coincidence factor is 0.323. The study suggests a potential for shifting electricity loads in time on a neighbourhood level, where especially EV charging can be utilized as a flexible load.
Application of the open-source cloud platform FIWARE for future building energy management systems
Authors: Storek T. , Lohmöller J. , Kümpel A. , Baranski M. , Müller D. 
Published: November 2019

Abstract
The integration of volatile, decentralized energy into building energy systems requires intelligent algorithms that are capable of controlling the augmented complexity and the interactions of subsystems efficiently. Not only do the algorithms require computing capacity, but also a feasible information and communication infrastructure. One possibility to provide computing power on demand is cloud computing that forms together with an extended connectivity of physical devices the Internet of Things (IoT). We present a customizable open-source IoT platform setup using FIWARE. For the integration of existing building automation networks, we extend an OpenMUC gateway with BACnet functionality and connect it to our platform via MQTT. We successfully demonstrate the overall setup with a web-based visualization of high resolution energy monitoring and a control loop as basic requirements for the integration of more advanced control algorithms in future building energy management systems. We find our setup generally feasible for both use cases and, hence, will aim for the integration of more advanced control algorithms in the future using the presented platform components.
Multi-agent based simulation of smart building cluster for electric grid stabilization
Authors: Hall Monika , Geissler Achim , Wache Holger 
Published: November 2019

Abstract
With the increasing number of photovoltaic systems and heat pumps in buildings existing substations of the electric grid could be overloaded. A multi-agent based simulation of a building cluster studies the impact of building flexibility in regard to the residual substation load. Each building announces its available flexibility, e.g. “heat pump can be switched off/on”. A master coordinator evaluates all incoming offers and decides which offers are accepted. This reduces the residual load at the substation. This paper presents results from a study of the impact at the substation of a smart urban building cluster with different penetration scenarios of heat pumps, photovoltaic systems, batteries and electric vehicles. It is shown that a high penetration of heat pumps and photovoltaic systems violates the substation’s limits for the studied building cluster. Batteries cannot reduce the peak utilization. The master coordinator’s load shifting options are limited.
The impact of urban texture on energy system design process
Authors: Perera A.T.D. , Coccolo Silvia , Monna Sameh , Scartezzini Jean-Louis , Mauree Dasaraden 
Published: November 2019

Abstract
This study evaluates the impact of urban planning decisions regarding building stock on energy system design and operation. Three urban planning scenarios are considered for an archetype neighbourhood in Nablus in Palestine. The distinguishing difference is that they have different albedo values for the building stock. A computational platform that combines building simulation, urban climate and energy system optimization (considering Net Present Value (NPV) and Grid Integration Level) is used to assess the scenarios. The study reveals that the annual or peak energy demand is not sufficient to compare two scenarios; it is important to consider energy demand pattern and the renewable energy potential, where an energy system design tool is important. Therefore, it can be concluded that the energy system design tools will play a major role in sustainable urban planning processes.
Identifying carbon emission reduction potentials of BIPV in high-density cities in Southeast Asia
Authors: Happle Gabriel , Shi Zhongming , Hsieh Shanshan , Ong Bolie , Fonseca Jimeno A , Schlueter Arno 
Published: November 2019

Abstract
We use life cycle analysis, urban building energy simulations and urban form generation to compare the operational carbon emissions of buildings with building-integrated photovoltaics (BIPV) in locations with different grid electricity mixes in Southeast Asia. Our results show that BIPV installations can reduce operational carbon emissions of buildings by up to ∼50%. The entire roofs and ∼40-100% of the facades should be activated for solar energy harvesting, depending on the context and urban form. Additionally, we prove that it is more effective to install BIPV in countries with high carbon intensive grid electricity mixes, independent of climate and urban form.
Investigations of speed controlled heat pumps for NZEB in IEA HPT Annex 49
Authors: Rominger Lukas , Wemhoener Carsten , Buesser Simon 
Published: November 2019

Abstract
Speed controlled heat pumps are entering more and more the heat pump markets for space heating and domestic hot water (DHW) applications. In this study the design and control of speed controlled air-to-water heat pumps in net zero energy buildings are investigated by simulations of a single family house. The results confirm an increase in efficiency by using a speed controlled heat pump compared to an on/off controlled heat pump both in heating mode and in DHW mode. Further on, the correct sizing and control of a speed controlled heat pump is also important to reach a high efficiency.
Reference values of the environmental impact of building services systems
Authors: Bionda Davide , Domingo-Irigoyen Silvia , Settembrini Gianrico 
Published: November 2019

Abstract
Within the scope of the present study, reference values for embodied energy, greenhouse gas emissions and total environmental impact of heating, ventilation, sanitary and electrical systems were compiled. The focus was put on building services systems that are common and widespread in residential, administrative and school buildings. The main objective of the study was to convert the existing data into user-friendly reference values, which should allow an evaluation and optimization during the early phases of project planning of the environmental impact of building services systems.
Accelerating the diffusion of energy-efficient building technologies with policies – The case of Switzerland
Authors: Schwarz Marius , Knoeri Christof 
Published: November 2019

Abstract
The diffusion of energy-efficient building technologies is crucial for decarbonizing the building sector. However, many of these technologies diffuse slowly despite being economically superior compared to carbon-intensive alternatives. This study analyzes how combinations of different policies can effectively close this energy-efficiency gap. Applying an agent-based model that represents construction planning in Switzerland between 1995-2015, we ex-post evaluate the impact of four policies – financial incentives, mandatory building energy codes, voluntary energy labels, information campaigns – on the diffusion of three technologies – heat pumps, comfort ventilation, low-e glazing. Results indicate type and timing of policy combinations as key for successful technology diffusion.
Combined desiccant-ejector cooling system assisted by Organic Rankine Cycle for zero-power cooling and dehumidification
Authors: Heidari Amirreza , Rostamzadeh Hadi , Khovalyg Dolaana 
Published: November 2019

Abstract
This study presents a novel set-up for desiccant-based cooling and dehumidification systems. In this cycle, a solid desiccant and conventional combined cooling and power (CCP) systems, based on the ejector refrigeration cycle (ERC) and the organic Rankine cycle (ORC), are integrated to provide dehumidification and cooling, simultaneously. The ERC is integrated with the ORC for devising a self-powered design which has not been done until now. The proposed integrated system is useful for replacing the peak electricity demand with the heat demand, decreasing the pressure on the power grid in humid areas. Dynamic hourly simulation of the proposed system as well as a conventional system were performed to show the energy saving potential of the proposed system.