Relevant bibliographies by topics / Building energy dynamic simulations

Academic literature on the topic 'Building energy dynamic simulations'

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Published: 14 March 2023

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Journal articles on the topic "Building energy dynamic simulations"

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Jimenez-Bescos, Carlos, and Xabat Oregi. "Implementing User Behaviour on Dynamic Building Simulations for Energy Consumption." Environmental and Climate Technologies 23, no. 3 (December 1, 2019): 308–18. http://dx.doi.org/10.2478/rtuect-2019-0097.

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Abstract User behaviour influences the energy consumption of domestic properties with different range of variations and this has an effect on the results of building simulations based on default or general values, as opposed to implementing user behaviour. The aim of this paper is to evaluate and quantify the effect of implementing user behaviour in building dynamic simulation to calculate heating and domestic how water energy consumption to reduce the performance gap. The results for space heating and domestic hot water from dynamic building simulations will be compare to actual energy bills for a general building simulation technique and a calibrated building simulation, incorporating user behaviour details. By using user behaviour details to create calibrated building simulations, a correlation to actual energy bills of over 90 % can be achieved for a dataset of 22 properties. This study has shown that by incorporating user behaviour into building simulations, a more accurate estimation of energy consumption can be achieved. More importantly, the methodology approach allows the user behaviour parameters to be collected by means of a questionnaire, providing an easy and low budget approach to incorporate user behaviour into dynamic building simulations to reduce the performance.
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Eftimie, Elena. "Energy Efficiency Analysis in Buildings using Dynamic Simulations." European Journal of Engineering Research and Science 2, no. 5 (May 2, 2017): 1. http://dx.doi.org/10.24018/ejers.2017.2.5.325.

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This paper proposes an analysis of factors that have a significant impact on energy efficiency in buildings. Thus, as a first objective proposes an analysis of the impact of rehabilitation and modernization of buildings in view of their energy performance improvement. A second followed objective consisted of the study of some production and use thermal energy systems in order to increase the thermal comfort. Based on a case study, this paper provides the opportunity for comparative analyses both among different insulation materials for buildings and among different heating systems. Determination of energy consumption for space heating and of the building comfort parameters was achieved using dynamic simulations by means of TRNSYS program; it was envisaged that the assessment of energy efficiency in buildings, the design stage or before their rehabilitation, is more economical than finding solutions in the use phase of buildings.
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Eftimie, Elena. "Energy Efficiency Analysis in Buildings using Dynamic Simulations." European Journal of Engineering and Technology Research 2, no. 5 (May 2, 2017): 1–12. http://dx.doi.org/10.24018/ejeng.2017.2.5.325.

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This paper proposes an analysis of factors that have a significant impact on energy efficiency in buildings. Thus, as a first objective proposes an analysis of the impact of rehabilitation and modernization of buildings in view of their energy performance improvement. A second followed objective consisted of the study of some production and use thermal energy systems in order to increase the thermal comfort. Based on a case study, this paper provides the opportunity for comparative analyses both among different insulation materials for buildings and among different heating systems. Determination of energy consumption for space heating and of the building comfort parameters was achieved using dynamic simulations by means of TRNSYS program; it was envisaged that the assessment of energy efficiency in buildings, the design stage or before their rehabilitation, is more economical than finding solutions in the use phase of buildings.
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Jradi, Muhyiddine, Henrik Engelbrecht Foldager, and Rasmus Camillus Jeppesen. "A tool for Danish buildings energy retrofit design and evaluation using dynamic energy simulations." E3S Web of Conferences 172 (2020): 18008. http://dx.doi.org/10.1051/e3sconf/202017218008.

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In general, static tools and simplified assessment approaches are still dominating the Danish building energy retrofit market. These static tools are generally associated with a large number of assumptions and tend to neglect the overall building dynamics. This leads to major uncertainties and substantial gaps between the predicted performance, promised before retrofitting, and the real building performance after carrying out the retrofit project. To overcome these challenges, this work presents the design, development and demonstration of DanRETRO, a tool for Danish buildings energy retrofit design and evaluation. The tool uses a large database of dynamic performance simulations employing EnergyPlus, for different building types, ages and sizes, allowing a preliminary assessment of the technical, economic and environmental impacts of various retrofit measures. In this regard, the tool provides a large selection of retrofit techniques and measures along with retrofit packages. DanRETRO is intended to be a comprehensive building energy retrofit assessment tool, but at the same time being simple to use with minimal inputs. The demonstration of the tool in an office building, a single-family house and an apartment in Denmark is presented and assessed. DanRETRO evaluation results are aimed to serve as a basis to aid energy retrofit projects decision-making.
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Yahiaoui, Azzedine. "Distributed dynamic simulations of networked control and building performance applications." SIMULATION 94, no. 2 (May 31, 2017): 145–61. http://dx.doi.org/10.1177/0037549717711269.

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The use of computer-based automation and control systems for smart sustainable buildings, often so-called Automated Buildings (ABs), has become an effective way to automatically control, optimize, and supervise a wide range of building performance applications over a network while achieving the minimum energy consumption possible, and in doing so generally refers to Building Automation and Control Systems (BACS) architecture. Instead of costly and time-consuming experiments, this paper focuses on using distributed dynamic simulations to analyze the real-time performance of network-based building control systems in ABs and improve the functions of the BACS technology. The paper also presents the development and design of a distributed dynamic simulation environment with the capability of representing the BACS architecture in simulation by run-time coupling two or more different software tools over a network. The application and capability of this new dynamic simulation environment are demonstrated by an experimental design in this paper.
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Chiesa, Giacomo, Francesca Fasano, and Paolo Grasso. "A New Tool for Building Energy Optimization: First Round of Successful Dynamic Model Simulations." Energies 14, no. 19 (October 8, 2021): 6429. http://dx.doi.org/10.3390/en14196429.

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Several tools and pieces of software support building energy modelling for optimization, certification and comparisons of different scenarios and usages. Nevertheless, the consistent rise in accessible computational power and the expansion of ICT are pushing the development of new software functionalities and tools able to support cross-disciplinary work on smart building optimization. This paper introduces a new platform (under development) that combines the EnergyPlus dynamic simulation tool with extra-functionalities and pre-defined usage scenarios based on automatic actions to manage massive simulations and correlation analyses. The tool’s utility was tested in three experiments, with goals that we consider to be fundamental requirements: comparing simple retrofit actions to reduce net energy needs; analyzing the free-running potential of a demo building and the impacts of different low-energy technologies in terms of increasing thermal comfort (shading and ventilative cooling); and comparing measured sensor data indicators with simulated ones under real weather conditions for model verification. The results demonstrate the ability of the tool to automatically generate hundreds of EnergyPlus input building models by acting on building geometry; we focused on the most common uses for parametric dynamic simulations. Additionally, the way in which the tool combines the automatic modification of the building’s design and the parallel launching of multiple simulations allows the labor to be reduced. The user can execute complex tasks without spending any time working with model editing software and aggregating the results from multiple simulations.
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Niederau, Jan, Johanna Fink, and Moritz Lauster. "Connecting Dynamic Heat Demands of Buildings with Borehole Heat Exchanger Simulations for Realistic Monitoring and Forecast." Advances in Geosciences 56 (October 6, 2021): 45–56. http://dx.doi.org/10.5194/adgeo-56-45-2021.

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Abstract. Space heating is a major contributor to the average energy consumption of private households, where the energy standard of a building is a controlling parameter for its heating energy demand. Vertical Ground Source Heat Pumps (vGSHP) present one possibility for a low-emission heating solution. In this paper, we present results of building performance simulations (BPS) coupled with vGSHP simulations for modelling the response of vGSHP-fields to varying heating power demands, i.e. different building types. Based on multi-year outdoor temperature data, our simulation results show that the cooling effect of the vGSHPs in the subsurface is about 2 K lower for retrofitted buildings. Further, a layout with one borehole heat exchanger per building can be efficiently operated over a time frame of 15 years, even if the vGSHP-field layout is parallel to regional groundwater flow in the reservoir body. Due to northward groundwater flow, thermal plumes of reduced temperatures develop at each vGSHP, showing that vGSHPs in the southern part of the model affect their northern neighbors. Considering groundwater flow in designing the layout of the vGSHP-field is conclusively important. Combining realistic estimates of the energy demand of buildings by BPS with subsurface reservoir simulations thus presents a tool for monitoring and managing the temperature field of the subsurface, affected by Borehole Heat Exchanger (BHE) installations.
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Rodríguez-Vázquez, Martin, Iván Hernández-Pérez, Jesus Xamán, Yvonne Chávez, Miguel Gijón-Rivera, and Juan M. Belman-Flores. "Coupling building energy simulation and computational fluid dynamics: An overview." Journal of Building Physics 44, no. 2 (February 2, 2020): 137–80. http://dx.doi.org/10.1177/1744259120901840.

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Building energy simulations coupled with computational fluid dynamics tools have emerged, recently, as an accurate and effective tool to improve the estimation of energy requirements and thermal comfort in buildings. Building modelers and researchers usually implement this coupling in the boundary conditions of both tools (e.g. surface temperature, ambient temperature, and conductive and convective fluxes). This work reviews how the building energy simulation–computational fluid dynamics coupling has evolved since its first implementation to the present day. Moreover, this article also summarizes and discusses the research studies in which the building energy simulation–computational fluid dynamics coupling has been used to analyze building systems, building components, and building urban configurations. Implementing a building energy simulation–computational fluid dynamics coupling brings a series of benefits when compared with the conventional building energy simulation methodology, a building energy simulation–computational fluid dynamics coupling provides an improvement that ranges between 10% and 50% for estimating the building energy requirements. Moreover, the computation time to implement computational fluid dynamics with information obtained from the building energy simulation could be reduced by as well.
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Colombo, Paola, Rossano Scoccia, Marcello Aprile, Mario Motta, and Livio Mazzarella. "Minimalist RC network for building energy simulations: a case study based on OpenBPS." E3S Web of Conferences 197 (2020): 02005. http://dx.doi.org/10.1051/e3sconf/202019702005.

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Robust and fast dynamic simulation tools are crucial for the sizing of the components of complex HVAC system and for the definition of the optimal control strategy. In this work, a first step towards the extension of OpenBPS, a new building energy performance simulation tool, to the dynamic simulation of HVAC systems is presented. In particular, the building model has been reduced to a Resistors-Capacitors (RC) network and OpenBPS has been used for the identification of the parameters of the grey-box model. Indeed, the reduction and identification of the building energy model is the fundamental step for extension of the tool to perform dynamic simulations of complex HVAC systems with the advantage of low computational load, thus suitable for parametric yearly simulations and control strategy analyses. The toolkit of identification and cross validation of a minimalist RC network is presented in this paper, discussing the results obtained for a case study building under study in the European project Heat4Cool founded by Horizon 2020 programme. The identified model demonstrated a good accuracy in the estimation of the room temperature under different tests settings representative of the actual operating conditions.
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Ferroukhi, Mohammed, Rafik Belarbi, Karim Limam, and Walter Bosschaerts. "Impact of coupled heat and moisture transfer effects on buildings energy consuption." Thermal Science 21, no. 3 (2017): 1359–68. http://dx.doi.org/10.2298/tsci150608215f.

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Coupled heat, air, and moisture transfers through building envelope have an important effect on prediction of building energy requirements. Several works were conducted in order to integrate hygrothermal transfers in dynamic buildings simulations codes. However, the incorporation of multidirectional hygrothermal transfer analysis in the envelope into building simulation tools is rarely considered. In this work, coupled heat, air, and moisture (HAM) transfer model in multilayer walls was established. Thereafter, the HAM model is coupled dynamically to a building behavior code (BES).The coupling concerns a co-simulation between COMSOL Multiphysics and TRNSYS software. Afterward, the HAM-BES co-simulation accuracy was verified. Then, HAM-BES co-simulation platform was applied to a case study with various types of climates (temperate, hot and humid, cold and humid). Three simulations cases were carried out. The first simulation case consists of the TRNSYS model without HAM transfer model. The second simulation case, 1-D HAM model for the envelope was integrated in TRNSYS code. For the third one, 1-D HAM model for the wall and 2-D HAM model for thermal bridges were coupled to the thermal building model of TRNSYS. Analysis of the results confirms the significant impact of 2-D envelope hygrothermal transfers on the indoor thermal and moisture behavior of building as well as on the energy building assessment. These conclusions are shown for different studied climates.
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Dissertations / Theses on the topic "Building energy dynamic simulations"

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SUMMA, SERENA. "Energy efficiency of buildings: Dynamic simulations and experimental analyses." Doctoral thesis, Università Politecnica delle Marche, 2022. http://hdl.handle.net/11566/299081.

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Gli studi riportati in questa tesi aggiungono all'attuale corpus di conoscenze un contributo riguardante sia i nuovi modelli di calcolo dinamico orario, utili per una valutazione affidabile del fabbisogno energetico degli edifici, sia le soluzioni costruttive innovative per migliorare l'efficienza energetica degli edifici e quindi decarbonizzare il settore delle costruzioni attualmente responsabile di circa il 40% delle emissioni globali di gas climalteranti. Vengono analizzati i nuovi modelli di calcolo contenuti nelle recenti norme pubblicate dal CEN, ovvero la EN ISO 52016-1:2017 "Fabbisogno energetico per il riscaldamento e il raffreddamento, temperature interne e carichi di calore sensibile e latente - Parte 1: Procedure di calcolo" e la relativa EN ISO 52010-1:2017 "Condizioni climatiche esterne - Parte 1: Conversione dei dati climatici per i calcoli energetici". Tali norme offrono la possibilità di valutare il fabbisogno energetico e le temperature operative con un’accuratezza simile a quella dei principali software di simulazione (come Trnsys o Energy Plus), ma in modo meno oneroso. Essendo entrambi gli standard di recente pubblicazione, non esistono in letteratura studi sufficienti ad identificare l'effettiva validità dei metodi e i campi di applicazione. Per questo motivo, utilizzando Tnsys come base, è stata effettuata un'analisi comparativa e di sensibilità, sono state individuate le principali criticità e proposti metodi di calcolo alternativi che, opportunamente integrati nelle norme, ne hanno migliorato l’accuratezza. A livello sperimentale sono state proposte soluzioni costruttive innovative per migliorare il fabbisogno energetico invernale ed estivo, rispettivamente con lo studio di un edificio iperisolato integrato ad una serra solare dotata di ventilazione meccanica controllata e con lo studio di tre diverse facciate ventilate, anch'esse integrate a ventilazione meccanica controllata, ottimizzate tramite tecniche di machine learning. Infine, è stato valutato l'impatto del cambiamento climatico sugli attuali NZEB in termini di fabbisogni e comfort, secondo due scenari proposti dall'IPCC (Intergovernmental Panel on Climate Change): RCP4.5, che prevede un'inversione delle emissioni di CO2 entro il 2070 e un aumento massimo della temperatura di 2°C, e RCP8.5, che utilizza un approccio "business-as-usual" e prevede concentrazioni di CO2 quadruple entro il 2100, con un aumento della temperatura di oltre 4°C.
The studies reported in this thesis add to the current body of knowledge a contribution concerning both new dynamic hourly calculation models, useful for a reliable assessment of the energy needs of buildings, and innovative construction solutions to improve the energy efficiency of buildings and thus decarbonise the construction sector currently responsible for about 40% of global climate-changing gas emissions. The new calculation models contained in the recent standards published by CEN are analysed, namely EN ISO 52016-1:2017 "Energy demand for heating and cooling, indoor temperatures and sensible and latent heat loads - Part 1: Calculation procedures" and the related EN ISO 52010-1:2017 "Outdoor climatic conditions - Part 1: Conversion of climate data for energy calculations". These standards offer the possibility to estimate energy requirements and operative temperatures with similar accuracy to that of major simulation software (such as Trnsys or Energy Plus), but in a less onerous way. As both standards are recently published, there are not enough studies in the literature to identify the actual validity of the methods and the fields of application. For this reason, using Tnsys as a basis, a comparative and sensitivity analysis was carried out, the main criticalities were identified and alternative calculation methods were proposed which, appropriately integrated into the standards, improved their accuracy. At an experimental level, innovative construction solutions were proposed to improve winter and summer energy requirements, respectively with the study of a hyper-insulated building integrated with a solar greenhouse equipped with controlled mechanical ventilation and with the study of three different ventilated facades, also integrated with controlled mechanical ventilation, optimised using machine learning techniques. Finally, the impact of climate change on current NZEBs in terms of needs and comfort was assessed, according to two scenarios proposed by the IPCC (Intergovernmental Panel on Climate Change): RCP4.5, which foresees a reversal of CO2 emissions by 2070 and a maximum temperature increase of 2°C, and RCP8.5, which uses a "business-as-usual" approach and foresees quadruple CO2 concentrations by 2100, with a temperature increase of more than 4°C.
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Maggiore, Pierpaolo. "Energy retrofit of an office building in Stockholm: energy performance analysis of the cooling system." Thesis, KTH, Installations- och energisystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190960.

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The increasing attention towards energy efficiency issues has triggered an important process involving the renovation of existing buildings and, at the same time, the creation of recognized certifications assuring the quality of the projects. In line with this trend, the Sweco headquarters, an office building characterized by 24700 m2 of floor area and located in Stockholm, was totally retrofitted in 2012 and obtained the Gold rating after being assessed with the Miljöbyggnad certification procedure. The HVAC system was a key element of the retrofit project since one of the final aims was to combine high indoor environment standards with efficient system performances. However, even if the quality of the design is certified, it is possible that, under real operating conditions, complex systems behave differently from the expectations and adjustments are necessary to correct the emerged gap. To achieve this goal, it is essential to identify the points of weakness of the system by carrying out an energy performance analysis, which is the core of this project. In fact, after providing an overview of the building and the retrofit, this work focuses on the analysis of the cooling system installed in the Sweco building and proves the importance of adopting a step-by-step approach to the problem. Therefore, an increasing level of detail characterizes each step of the analysis, whose final aim is to highlight potential aspects to be improved and create a baseline to test possible solutions.
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Pacillo, Valentina. "Effect of the building zoning on the energy consumption with different dynamic energy simulation tools: ALMABEST versus carnotUIBK." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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In this Thesis a comparison is presented between two software for dynamic energy simulation of buildings coupled to HVAC systems: ALMABEST and carnotUIBK, developed by University of Bologna and University of Innsbruck, respectively. These tools are both developed in MATLAB environment and work using Simulink libraries and Graphical User Interfaces (GUIs). In the first part of the work, an overview of the main commercially available software for building simulation is given and the description of ALMABEST and carnotUIBK is presented. In particular, it is explained how the user can create the building model by using a series of GUIs, what are the simulation capabilities and limitations of both tools and, finally, a comparison between them in terms of strengths and weaknesses is shown. In the second part of the Thesis, results obtained from simulations with both tools are presented, focusing on the effects of a different zoning of the same building located in three different European cities, and on how energy demand changes by using an ideal heating system or a floor heating system. Finally, the effects on the internal temperature and on the heating energy consumption is analysed based on a detailed analysis of the intended use of the building and thus of the behaviour of the occupants within it. In particular, the first floor of the building, divided into four thermal zones and equipped with a floor heating, is considered as a set of offices and the inputs of internal gains and ventilation are considered either constant or with specific hourly profiles according to the working occupation. Throughout the Thesis, the small percentage deviations of the results obtained with the two tools emphasised that they are valuable and detailed software for the dynamic simulation of buildings and HVAC systems. The comparison highlighted the strengths and weaknesses of the two tools and, in particular, possible future developments.
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Paepcke, Anne. "NANDRAD 1.4 building simulation model." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-230427.

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NANDRAD is a dynamic building energy simulation program. It calulates heating/cooling requirements and electric power consumption with respect to realistic climatic conditions and dynamic room usage. The model includes one-dimensional spatially resolved heat transport through multi-layered walls and thermal storage of solid components (room furniture/building walls). Consequently, massive constructions forms in the European area are very well represented. Further, NANDRAD calculates geometrical long radiation heat exchange inside the room. Heating systems may be modeled with a high level of geometrical detail, i.e. surface heating systems as part of the wall constructions and radiant heaters inside the room. NANDRAD can be applied for passive building simulation, energy optimization and thermal comfort analysis with respect to a very detailed building representation. In this terms, the model supports the simulation of a large number of zones and walls without need for subgrouping or other model reduction strategies.
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Lapioli, Simone. "Energy retrofit of an office building in Stockholm: feasibility analysis of an EWIS." Thesis, KTH, Installations- och energisystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190992.

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The energy retrofit of existing buildings has always been a challenging task to accomplish. The example of the Swecohuset building, proves how an integrated approach design between architectural and energetic aspects as well as the use of well-known and efficient technologies are key aspects to achieve the energy-saving goal. This work, in the first part describes the Swecohuset retrofit process, along with the reasons behind the choices which have led to the current result of a reduction by 2/3 of the energy need for space conditioning purposes. Then, in the second part, after a brief focus on the passive aspects which characterize the current energy performance of the building, it is carried out a feasibility analysis of an EWIS (external wall insulation system) by studying its interaction with a complex system as an optimization problem, with the main purpose of understanding the basis of the BPO and explore further building potentialities.
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O'Kelly, Matthew E. "Dynamic Simulation of a Superinsulated Residential Structure with a Hybrid Desiccant Cooling System." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345442100.

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Kos, Cristoffer, and Kristoffer Hermansson. "BUILDING AND SIMULATING DYNAMIC MODELS OF DISTRICT HEATING NETWORKS WITH MODELICA : Using Matlab to process data and automate modelling and simulation." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-36107.

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District heating systems are common in Nordic countries today and accounts for a great portion of the heat demand. In Sweden, total district heating end use in the last years has been around 50 TWh and district heating accounts for roughly 50 % of the total heat demand. Suppliers of district heating must balance demand and supply, often in large and complex networks. Heat propagation can be in the range of hours and it is not known in detail how the heat will propagate during transient conditions. A dynamic model has been developed in OpenModelica and a method for modeling, handling data, simulating and visualizing the results of a district heating network was developed using Matlab as core. Data from Mälarenergi AB, a district heating producer and grid operator, was used for validation of the model. Validation shows that the model works well in predicting heat propagation and temperature distribution in the network and that the model can be scaled up to a large number of heat exchangers and pipes. The model is robust and can handle bi-directional and reversing flows in complex ring structures. It was concluded that OpenModelica together with Matlab is a good combination for creating models of district heating networks, as a high degree of standardization and automation can be achieved. This, together with visualization of the heat propagation, makes it useful for the understanding of the district heating network during transient conditions.
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BELTRAMI, Alberto. "Trnsys integrated modeling support tool for a fast building-plant system design." Doctoral thesis, Università degli studi di Bergamo, 2016. http://hdl.handle.net/10446/52297.

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The present thesis stems from the benefits of the application of energy analysis in any stage of building-plant system design. The research highlights the barriers that prevent this integration and finally proposes the development of a dynamic modeling support tool able to simulate, with a reasonable workload, a very large number of integrated building-plant systems with different scales and resolutions, in order to have a guided design support for architects and HVAC designers/engineers, reducing their modeling effort and errors. The starting point is represented by a flexible and detailed model created with the calculation engine TRNSYS, which allow for the dynamic and integrated simulation of the building envelope, all the heating plant subsystems, and all the plant components related to the production of domestic hot water. The research explores then strategies and simplifications that can considerably reduce the number of necessary inputs for the simulations, thus minimizing the modeling, implementation and simulation runtime of the model, while still maintaining an acceptable degree of accuracy with respect to the computational results and real energy consumptions. Those results are achieved by defining a methodology, which consists in developing a sizing protocol and a simplification protocol and applying them to real life, complex case studies, first modeling detailed models and progressively enhancing the level of simplification. At each progressive simplification step, the comparison with the detailed model results is given in terms of building energy needs, power curves, efficiencies, modeling and simulation workloads. In particular results show that the accuracy of the most simplified model is always below the 16% with respect to the most detailed model, with a 90% modeling and simulation workload reductions, able to make the tool easy to be adopted at every stage of building-plant system design.
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BELTRAMI, Alberto. "Trnsys integrated modeling support tool for a fast building-plant system design." Doctoral thesis, Università degli studi di Bergamo, 2016. http://hdl.handle.net/10446/222107.

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The present thesis stems from the benefits of the application of energy analysis in any stage of building-plant system design. The research highlights the barriers that prevent this integration and finally proposes the development of a dynamic modeling support tool able to simulate, with a reasonable workload, a very large number of integrated building-plant systems with different scales and resolutions, in order to have a guided design support for architects and HVAC designers/engineers, reducing their modeling effort and errors. The starting point is represented by a flexible and detailed model created with the calculation engine TRNSYS, which allow for the dynamic and integrated simulation of the building envelope, all the heating plant subsystems, and all the plant components related to the production of domestic hot water. The research explores then strategies and simplifications that can considerably reduce the number of necessary inputs for the simulations, thus minimizing the modeling, implementation and simulation runtime of the model, while still maintaining an acceptable degree of accuracy with respect to the computational results and real energy consumptions. Those results are achieved by defining a methodology, which consists in developing a sizing protocol and a simplification protocol and applying them to real life, complex case studies, first modeling detailed models and progressively enhancing the level of simplification. At each progressive simplification step, the comparison with the detailed model results is given in terms of building energy needs, power curves, efficiencies, modeling and simulation workloads. In particular results show that the accuracy of the most simplified model is always below the 16% with respect to the most detailed model, with a 90% modeling and simulation workload reductions, able to make the tool easy to be adopted at every stage of building-plant system design.
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Amin, Majdi Talal. "Dynamic Modeling and Verification of an Energy-Efficient Greenhouse With an Aquaponic System Using TRNSYS." University of Dayton / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1450432214.

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Books on the topic "Building energy dynamic simulations"

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Ed, Early, University of Washington, and Washington State Energy Office, eds. Dynamic response of building components in residential homes: Final simulation report. [Seattle, WA?]: University of Washington, 1989.

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Desideri, Umberto, Giampaolo Manfrida, and Enrico Sciubba, eds. ECOS 2012. Florence: Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-322-9.

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The 8-volume set contains the Proceedings of the 25th ECOS 2012 International Conference, Perugia, Italy, June 26th to June 29th, 2012. ECOS is an acronym for Efficiency, Cost, Optimization and Simulation (of energy conversion systems and processes), summarizing the topics covered in ECOS: Thermodynamics, Heat and Mass Transfer, Exergy and Second Law Analysis, Process Integration and Heat Exchanger Networks, Fluid Dynamics and Power Plant Components, Fuel Cells, Simulation of Energy Conversion Systems, Renewable Energies, Thermo-Economic Analysis and Optimisation, Combustion, Chemical Reactors, Carbon Capture and Sequestration, Building/Urban/Complex Energy Systems, Water Desalination and Use of Water Resources, Energy Systems- Environmental and Sustainability Issues, System Operation/ Control/Diagnosis and Prognosis, Industrial Ecology.
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Meade, Douglas S., ed. In Quest of the Craft. Florence: Firenze University Press, 2015. http://dx.doi.org/10.36253/978-88-6655-820-0.

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INFORUM is a research project started more than forty five years ago by Clopper Almon. The focus is on the development of dynamic, interindustry, macroeconometric models to forecast the economy in the long run. Over the last 30 years, the Inforum approach to model building has been shared by economists in many different countries. Researchers have focused much of their efforts to developing a linked system of international interindustry models with a consistent methodology. A world-wide network of research associates use similar methods and a common software obtaining comparable results to produce studies of common interest to the group. Inforum partners have shared their research in an annual conference since 1993. The XXII Inforum World Conference was held in Alexandria, Virginia in September 2014 and this book contains a selection of papers presented during the sessions. All these contributions share an empirical and pragmatic orientation that is very useful for policymakers, business, and applied economists. Some papers are devoted to specific topics (productivity, energy, international trade, demographic changes) and some others are oriented to model building and simulations.
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Pakanen, Jouko. Prediction and fault detection of building energy consumption using multi-input, single-output dynamic model. Espoo: Technical Research Centre of Finland, 1992.

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Bardazzi, Rossella, and Leonardo Ghezzi, eds. Macroeconomic modelling for policy analysis. Florence: Firenze University Press, 2013. http://dx.doi.org/10.36253/978-88-6655-396-0.

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Over the last 30 years, the Inforum approach to macro modelling has been shared by economists worldwide. Researchers have focussed much of their efforts to developing a linked system of international interindustry models with a consistent methodology. A world-wide network of research associates use the same methods and software obtaining comparable results. The XXth Inforum World Conference was held in Florence in September 2012 and this book contains a selection of papers presented during that Conference. All these contributions are aimed at policymakers, stakeholders, and applied economists. Some papers are devoted to specific topics (total factor productivity, energy issues, external linkages, demographic changes) and some others are oriented to macro model building and simulations.
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Zocchi, Giovanni. Molecular Machines. Princeton University Press, 2018. http://dx.doi.org/10.23943/princeton/9780691173863.001.0001.

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This book presents a dynamic new approach to the physics of enzymes and DNA from the perspective of materials science. Unified around the concept of molecular deformability—how proteins and DNA stretch, fold, and change shape—the book describes the complex molecules of life from the innovative perspective of materials properties and dynamics, in contrast to structural or purely chemical approaches. It covers a wealth of topics, including nonlinear deformability of enzymes and DNA; the chemo-dynamic cycle of enzymes; supra-molecular constructions with internal stress; nano-rheology and viscoelasticity; and chemical kinetics, Brownian motion, and barrier crossing. Essential reading for researchers in materials science, engineering, and nanotechnology, the book also describes the landmark experiments that have established the materials properties and energy landscape of large biological molecules. The book gives graduate students a working knowledge of model building in statistical mechanics, making it an essential resource for tomorrow's experimentalists in this cutting-edge field. In addition, mathematical methods are introduced in the bio-molecular context. The result is a generalized approach to mathematical problem solving that enables students to apply their findings more broadly.
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Book chapters on the topic "Building energy dynamic simulations"

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Chiesa, Giacomo, Francesca Fasano, and Paolo Grasso. "Thermal Comfort and Climatic Potential of Ventilative Cooling in Italian Climates." In Innovative Renewable Energy, 423–49. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04714-5_18.

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AbstractThe chapter describes several climate-correlated variables and suitable key performance indicators (KPIs) to define the local ventilative cooling potential. Furthermore, a methodology is presented to verify potential correlations between climate KPIs and indoor comfort parameters. The latter values are calculated by adopting dynamic energy simulations (EnergyPlus) and comfort models – both Fanger (ISO 7730) and the recently updated EU adaptive comfort approach (EN 16798-1) – considering a sample building unit. Simulations are run by using a parametric-enabling tool developed by the research unit to check correlations and is part of work performed for the PRELUDE project, co-funded by the EU, Horizon 2020 research and innovation programme under grant agreement No 958345. The approach is applied to the whole Italian territory considering typical yearly (hourly defined) meteorological conditions for all municipalities (about 8000 data points). Strong connections between climate and building KPIs are underlined together with the high potential of ventilative cooling in reducing discomfort and energy needs in the Italian territory.
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Ma, Rui, Jiayu Chen, and Xiaowei Luo. "Simulating Urban Building Energy Dynamic with Inter-Building-Effects (Ibes) Linked Building Networks." In Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, 1647–54. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8892-1_115.

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Gao, Dian-Ce. "Dynamic Simulation Platform of the Studied Building Systems." In Diagnosis and Robust Control of Complex Building Central Chilling Systems for Enhanced Energy Performance, 25–35. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0698-7_2.

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Meegahapola, Lasantha, and Duane Robinson. "Dynamic Modelling, Simulation and Control of a Commercial Building Microgrid." In Smart Power Systems and Renewable Energy System Integration, 119–40. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30427-4_7.

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Shead, T. M., I. K. Tezaur, W. L. Davis IV, M. L. Carlson, D. M. Dunlavy, E. J. Parish, P. J. Blonigan, J. Tencer, F. Rizzi, and H. Kolla. "A Novel In Situ Machine Learning Framework for Intelligent Data Capture and Event Detection." In Lecture Notes in Energy, 53–87. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16248-0_3.

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AbstractWe present a novel framework for automatically detecting spatial and temporal events of interest in situ while running high performance computing (HPC) simulations. The new framework – composed from signature, measure, and decision building blocks with well-defined semantics – is tailored for parallel and distributed computing, has bounded communication and storage requirements, is generalizable to a variety of applications, and operates in an unsupervised fashion. We demonstrate the efficacy of our framework on several cases spanning scientific domains and applications of event detection: optimized input/output (I/O) in computational fluid dynamics simulations, detecting events that can lead to irreversible climate changes in simulations of polar ice sheets, and identifying optimal space-time subregions for projection-based model reduction. Additionally, we demonstrate the scalability of our framework using a HPC combustion application on the Cori supercomputer at the National Energy Research Scientific Computing Center (NERSC).
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Ramon, Delphine, Karen Allacker, Nicole P. M. van Lipzig, Frank De Troyer, and Hendrik Wouters. "Future Weather Data for Dynamic Building Energy Simulations: Overview of Available Data and Presentation of Newly Derived Data for Belgium." In Energy, Environment, and Sustainability, 111–38. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3284-5_6.

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Lucchi, Elena, and Eva Schito. "Challenges and Opportunities for the Integration of Photovoltaic Modules in Heritage Buildings Through Dynamic Building Energy Simulations." In Lecture Notes in Mechanical Engineering, 180–94. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17594-7_14.

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Tsoka, Stella. "Dynamic Simulations of High-Energy Performance Buildings: The Role of Climatic Data and the Consideration of Climate Change." In Innovative Renewable Energy, 135–64. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15218-4_7.

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Yao, Ye, and Yuebin Yu. "Dynamic Simulations with State-Space Models." In Energy and Environment Research in China, 109–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-53313-0_3.

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Wolf, Andreas, Andreas Witzig, and Daniel Moreno. "Cross-Border Education in the Field of Renewable Energies Using a Dynamic Simulation Software." In Renewable Energy and Sustainable Buildings, 771–78. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18488-9_63.

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Conference papers on the topic "Building energy dynamic simulations"

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Asdrubali, Francesco, Giorgio Baldinelli, and Francesco Bianchi. "Comparison Between Dynamic Simulations And Real Energy Consumptions of Historical Buildings." In 2015 Building Simulation Conference. IBPSA, 2015. http://dx.doi.org/10.26868/25222708.2015.2560.

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CAZEAUX, Laurena, and Marine MORAIN. "Considering Real Hypothesis In Dynamic Thermal Simulations Of Summer Comfort In Low Energy Social Housing." In 2017 Building Simulation Conference. IBPSA, 2013. http://dx.doi.org/10.26868/25222708.2013.2075.

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Eisenhower, Bryan, and Igor Mezić. "Extracting Dynamic Information From Whole-Building Energy Models." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70427.

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Whole-building energy models are used in practice to predict energy and comfort for an entire building given its architectural and built state, external stimuli from weather, and internal behavior of both the equipment and occupants of the building. There exists both open source and commercial software for simulating such cases for an entire year at sub-hourly reporting intervals. Unfortunately, the dynamics of the building are masked in assumptions included in the numerical routines that are often intertwined within the thermal physics. Because of this, control-oriented analysis is limited to performing exhaustive time-based simulations. In this paper, we describe a method to analytically extract the dynamics from a whole-building energy simulator for the purpose of control and dynamical systems analysis. In this way, the function of the energy simulator is only a user interface and a means to organize information inherent in the dynamics (capacitances, interaction between elements of the building, etc.). We provide a test case on a medium office building and illustrate some of its control-oriented dynamic properties using EnergyPlus as the simulator.
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Ajaji, Youness, and Philippe André. "Support for Energy And Comfort Management in An Office Building using Smart Electrochromic Glazing: Dynamic Simulations." In 2015 Building Simulation Conference. IBPSA, 2015. http://dx.doi.org/10.26868/25222708.2015.2240.

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Hu, Mengqi, Jin Wen, Fan Li, Moeed Haghnevis, Yasaman Khodadadegan, Luis Mejia Sanchez, Shanshan Wang, Xiaotian Zhuang, and Teresa Wu. "An Agent Based Simulation for Building Energy System Modeling." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4176.

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Extensive research has been done on the centralized building energy system modeling and simulation. However the centralized structure is limited to study and simulate the energy interaction between different buildings at different locations. This paper reviews the building energy consumption model, energy storage system and energy generation system in the Net-zero buildings. Incorporate with the real-time price rate model, this paper develops an agent based simulation framework for distributed building energy system under uncertainty. Each sub system is developed as an agent in the simulation model, and a virtual decision agent is designed to simulate the operation strategy. The energy flow between different agents can be easily monitored from the simulation. The differences between on-peak and off-peak control are demonstrated from the simulation result.
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BONTEMPS, Stephanie, Aurelie KAEMMERLEN, Geraud BLATMAN, and Laurent MORA. "Reliability Of Dynamic Simulation Models For Building Energy In The Context Of Low-energy Buildings." In 2017 Building Simulation Conference. IBPSA, 2013. http://dx.doi.org/10.26868/25222708.2013.1285.

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Hirth, Stephan, and Andreas Nicolai. "The novel dynamic building energy performance simulation tool SIM-VICUS." In 2021 Building Simulation Conference. KU Leuven, 2021. http://dx.doi.org/10.26868/25222708.2021.11116.

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TAYLOR, Simon, David ALLINSON, Steven FIRTH, and Kevin LOMAS. "Dynamic Energy Modelling Of Uk Housing: Evaluation Of Alternative Approaches." In 2017 Building Simulation Conference. IBPSA, 2013. http://dx.doi.org/10.26868/25222708.2013.2507.

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Nicolai, Andreas, Stephan Hirth, and Madjid Madjidi. "SimQuality - A novel test suite for dynamic building energy simulation tools." In 2021 Building Simulation Conference. KU Leuven, 2021. http://dx.doi.org/10.26868/25222708.2021.30766.

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Ki KIM, Young, and Hasim ALTAN. "Using Dynamic Simulation For Demonstrating The Impact Of Energy Consumption By Retrofit And Behavioural Change." In 2017 Building Simulation Conference. IBPSA, 2013. http://dx.doi.org/10.26868/25222708.2013.2322.

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Reports on the topic "Building energy dynamic simulations"

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Judkoff, R., D. Wortman, B. O'Doherty, and J. Burch. Methodology for Validating Building Energy Analysis Simulations. Office of Scientific and Technical Information (OSTI), April 2008. http://dx.doi.org/10.2172/928259.

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Subbarao, K. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring. Office of Scientific and Technical Information (OSTI), September 1988. http://dx.doi.org/10.2172/6715546.

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Kneifel, Joshua D., and Eric G. O'Rear. An Assessment of Typical Weather Year Data Impacts vs. Multi-year Weather Data on Net-Zero Energy Building Simulations. National Institute of Standards and Technology, January 2016. http://dx.doi.org/10.6028/nist.sp.1204.

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Subbarao, K. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring: A summary. Office of Scientific and Technical Information (OSTI), September 1988. http://dx.doi.org/10.2172/6715518.

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Halford, Alison. Building Capacity: HEED Slills Audit and Recommendations. Coventry University, March 2021. http://dx.doi.org/10.18552/heed/2021/0002.

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This report aims to explore how HEED approached and delivered capacity building for the research team, project partners and the communities the team worked within Rwanda and Nepal. This report's purpose is threefold: first, to be evidential on how HEED planned, delivered and captured impact around capacity building so similar projects can develop best practice when skills development is a key deliverable. Second, to encourage other energy projects to document the impact produced by researchers and practitioners' involvement while working with communities. Therefore, to recognise the tacit and dynamic aspects of knowledge production, not only the more explicit aspects. Third, suggest recommendations to support a skills-led approach to capacity building that provides personal and professional development opportunities to deepen knowledge production and impact.
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Guidati, Gianfranco, and Domenico Giardini. Joint synthesis “Geothermal Energy” of the NRP “Energy”. Swiss National Science Foundation (SNSF), February 2020. http://dx.doi.org/10.46446/publication_nrp70_nrp71.2020.4.en.

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Near-to-surface geothermal energy with heat pumps is state of the art and is already widespread in Switzerland. In the future energy system, medium-deep to deep geothermal energy (1 to 6 kilometres) will, in addition, play an important role. To the forefront is the supply of heat for buildings and industrial processes. This form of geothermal energy utilisation requires a highly permeable underground area that allows a fluid – usually water – to absorb the naturally existing rock heat and then transport it to the surface. Sedimentary rocks are usually permeable by nature, whereas for granites and gneisses permeability must be artificially induced by injecting water. The heat gained in this way increases in line with the drilling depth: at a depth of 1 kilometre, the underground temperature is approximately 40°C, while at a depth of 3 kilometres it is around 100°C. To drive a steam turbine for the production of electricity, temperatures of over 100°C are required. As this requires greater depths of 3 to 6 kilometres, the risk of seismicity induced by the drilling also increases. Underground zones are also suitable for storing heat and gases, such as hydrogen or methane, and for the definitive storage of CO2. For this purpose, such zones need to fulfil similar requirements to those applicable to heat generation. In addition, however, a dense top layer is required above the reservoir so that the gas cannot escape. The joint project “Hydropower and geo-energy” of the NRP “Energy” focused on the question of where suitable ground layers can be found in Switzerland that optimally meet the requirements for the various uses. A second research priority concerned measures to reduce seismicity induced by deep drilling and the resulting damage to buildings. Models and simulations were also developed which contribute to a better understanding of the underground processes involved in the development and use of geothermal resources. In summary, the research results show that there are good conditions in Switzerland for the use of medium-deep geothermal energy (1 to 3 kilometres) – both for the building stock and for industrial processes. There are also grounds for optimism concerning the seasonal storage of heat and gases. In contrast, the potential for the definitive storage of CO2 in relevant quantities is rather limited. With respect to electricity production using deep geothermal energy (> 3 kilometres), the extent to which there is potential to exploit the underground economically is still not absolutely certain. In this regard, industrially operated demonstration plants are urgently needed in order to boost acceptance among the population and investors.
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Wu, Yingjie, Selim Gunay, and Khalid Mosalam. Hybrid Simulations for the Seismic Evaluation of Resilient Highway Bridge Systems. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, November 2020. http://dx.doi.org/10.55461/ytgv8834.

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Bridges often serve as key links in local and national transportation networks. Bridge closures can result in severe costs, not only in the form of repair or replacement, but also in the form of economic losses related to medium- and long-term interruption of businesses and disruption to surrounding communities. In addition, continuous functionality of bridges is very important after any seismic event for emergency response and recovery purposes. Considering the importance of these structures, the associated structural design philosophy is shifting from collapse prevention to maintaining functionality in the aftermath of moderate to strong earthquakes, referred to as “resiliency” in earthquake engineering research. Moreover, the associated construction philosophy is being modernized with the utilization of accelerated bridge construction (ABC) techniques, which strive to reduce the impact of construction on traffic, society, economy and on-site safety. This report presents two bridge systems that target the aforementioned issues. A study that combined numerical and experimental research was undertaken to characterize the seismic performance of these bridge systems. The first part of the study focuses on the structural system-level response of highway bridges that incorporate a class of innovative connecting devices called the “V-connector,”, which can be used to connect two components in a structural system, e.g., the column and the bridge deck, or the column and its foundation. This device, designed by ACII, Inc., results in an isolation surface at the connection plane via a connector rod placed in a V-shaped tube that is embedded into the concrete. Energy dissipation is provided by friction between a special washer located around the V-shaped tube and a top plate. Because of the period elongation due to the isolation layer and the limited amount of force transferred by the relatively flexible connector rod, bridge columns are protected from experiencing damage, thus leading to improved seismic behavior. The V-connector system also facilitates the ABC by allowing on-site assembly of prefabricated structural parts including those of the V-connector. A single-column, two-span highway bridge located in Northern California was used for the proof-of-concept of the proposed V-connector protective system. The V-connector was designed to result in an elastic bridge response based on nonlinear dynamic analyses of the bridge model with the V-connector. Accordingly, a one-third scale V-connector was fabricated based on a set of selected design parameters. A quasi-static cyclic test was first conducted to characterize the force-displacement relationship of the V-connector, followed by a hybrid simulation (HS) test in the longitudinal direction of the bridge to verify the intended linear elastic response of the bridge system. In the HS test, all bridge components were analytically modeled except for the V-connector, which was simulated as the experimental substructure in a specially designed and constructed test setup. Linear elastic bridge response was confirmed according to the HS results. The response of the bridge with the V-connector was compared against that of the as-built bridge without the V-connector, which experienced significant column damage. These results justified the effectiveness of this innovative device. The second part of the study presents the HS test conducted on a one-third scale two-column bridge bent with self-centering columns (broadly defined as “resilient columns” in this study) to reduce (or ultimately eliminate) any residual drifts. The comparison of the HS test with a previously conducted shaking table test on an identical bridge bent is one of the highlights of this study. The concept of resiliency was incorporated in the design of the bridge bent columns characterized by a well-balanced combination of self-centering, rocking, and energy-dissipating mechanisms. This combination is expected to lead to minimum damage and low levels of residual drifts. The ABC is achieved by utilizing precast columns and end members (cap beam and foundation) through an innovative socket connection. In order to conduct the HS test, a new hybrid simulation system (HSS) was developed, utilizing commonly available software and hardware components in most structural laboratories including: a computational platform using Matlab/Simulink [MathWorks 2015], an interface hardware/software platform dSPACE [2017], and MTS controllers and data acquisition (DAQ) system for the utilized actuators and sensors. Proper operation of the HSS was verified using a trial run without the test specimen before the actual HS test. In the conducted HS test, the two-column bridge bent was simulated as the experimental substructure while modeling the horizontal and vertical inertia masses and corresponding mass proportional damping in the computer. The same ground motions from the shaking table test, consisting of one horizontal component and the vertical component, were applied as input excitations to the equations of motion in the HS. Good matching was obtained between the shaking table and the HS test results, demonstrating the appropriateness of the defined governing equations of motion and the employed damping model, in addition to the reliability of the developed HSS with minimum simulation errors. The small residual drifts and the minimum level of structural damage at large peak drift levels demonstrated the superior seismic response of the innovative design of the bridge bent with self-centering columns. The reliability of the developed HS approach motivated performing a follow-up HS study focusing on the transverse direction of the bridge, where the entire two-span bridge deck and its abutments represented the computational substructure, while the two-column bridge bent was the physical substructure. This investigation was effective in shedding light on the system-level performance of the entire bridge system that incorporated innovative bridge bent design beyond what can be achieved via shaking table tests, which are usually limited by large-scale bridge system testing capacities.
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Duque, Earl, Steve Legensky, Brad Whitlock, David Rogers, Andrew Bauer, Scott Imlay, David Thompson, and Seiji Tsutsumi. Summary of the SciTech 2020 Technical Panel on In Situ/In Transit Computational Environments for Visualization and Data Analysis. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40887.

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At the AIAA SciTech 2020 conference, the Meshing, Visualization and Computational Environments Technical Committee hosted a special technical panel on In Situ/In Transit Computational Environments for Visualization and Data Analytics. The panel brought together leading experts from industry, software vendors, Department of Energy, Department of Defense and the Japan Aerospace Exploration Agency (JAXA). In situ and in transit methodologies enable Computational Fluid Dynamic (CFD) simulations to avoid the excessive overhead associated with data I/O at large scales especially as simulations scale to millions of processors. These methods either share the data analysis/visualization pipelines with the memory space of the solver or efficiently off load the workload to alternate processors. Using these methods, simulations can scale and have the promise of enabling the community to satisfy the Knowledge Extraction milestones as envisioned by the CFD Vision 2030 study for "on demand analysis/visualization of a 100 Billion point unsteady CFD simulation". This paper summarizes the presentations providing a discussion point of how the community can achieve the goals set forth in the CFD Vision 2030.
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Investigation on Design and Analysis of Passenger Car Body Crash-Worthiness in Frontal Impact Using Radioss. SAE International, September 2020. http://dx.doi.org/10.4271/2020-28-0498.

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Increasing advancement in automotive technologies ensures that many more lightweight metals become added to the automotive components for the purpose of light weighting and passenger safety. The accidents are unexpected incidents most drivers cannot be avoided that trouble situation. Crash studies are among the most essential methods for enhancing automobile safety features. Crash simulations are attempting to replicate the circumstances of the initial crash. Frontal crashes are responsible for occupant injuries and fatalities 42% of accidents occur on frontal crash. This paper aims at studying the frontal collision of a passenger car frame for frontal crashes based on numerical simulation of a 35 MPH. The structure has been designed to replicate a frontal collision into some kind of inflexible shield at a speed of 15.6 m/s (56 km/h). The vehicle’s exterior body is designed by CATIA V5 R20 along with two material properties to our design. The existing Aluminum alloy 6061 series is compared with carbon fiber IM8 material. The simulation is being carried out by us in the “Radioss” available in “Hyper mesh 17.0” software. The energy conservation and momentum energy absorption are carried out from this dynamic structural analysis.
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