Academic literature on the topic 'TRNSYS modeling'

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Journal articles on the topic "TRNSYS modeling"

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Ruan, Ying Jun, and Jie Dong Yang. "A TRNSYS Component Modeling Method for a New Kind of Solution Dehumidifier." Advanced Materials Research 860-863 (December 2013): 1628–32. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.1628.

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This paper introduces a way to build a model for a new kind of solution dehumidifier, and discusses the way to construct TRNSYS components for different kinds of solution dehumidifiers, and the factors that have the most important influence on the precision of the component have been presented. This paper contribute to the component library of TRNSYS, which will make TRNSYS capable to simulate THIC system.
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Casimiro, Sérgio, João Cardoso, Diego-César Alarcón-Padilla, Craig Turchi, Christos Ioakimidis, and João Farinha Mendes. "Modeling Multi Effect Distillation Powered by CSP in TRNSYS." Energy Procedia 49 (2014): 2241–50. http://dx.doi.org/10.1016/j.egypro.2014.03.237.

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Ahmadu, T. O., C. O. Folayan, and F. O. Anafi. "Modeling, Simulation and Optimization of a Solar Absorption Air Conditioning System for an Office Block in Zaria, Nigeria." International Journal of Air-Conditioning and Refrigeration 24, no. 02 (June 2016): 1650012. http://dx.doi.org/10.1142/s2010132516500127.

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In this study, a solar absorption air conditioning system has been modeled simulated and optimized for an office block covering a total floor area of 90[Formula: see text]m2using the TRNSYS 16 software. Meteorological data over a period of a typical year for Zaria in Nigeria where the office block is located was used in the simulation and optimization. The hourly cooling energy demand of the office block for the whole year was simulated using the TRNSYS sub program TRNbuild. The peak cooling energy demand was used to size the components of the solar absorption air conditioning system. Based on the initial sizes, a TRNSYS model of the air conditioning system was developed. The simulation and optimization process was done by employing a monthly average data approach in which the TRNSYS software was combined with Microsoft excel. The simulation was done on an hourly time step, optimization was done by studying effect of varying system component sizes on performance indices: coefficient of performance (COP), solar coefficient of performance (SCOP) and solar fraction (SF). Results indicate that the system is capable of attaining an average annual SF of 0.79 in the given location.
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Shrivastava, R. L., Vinod Kumar, and S. P. Untawale. "Modeling and simulation of solar water heater: A TRNSYS perspective." Renewable and Sustainable Energy Reviews 67 (January 2017): 126–43. http://dx.doi.org/10.1016/j.rser.2016.09.005.

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Chargui, R., H. Sammouda, and A. Farhat. "Geothermal heat pump in heating mode: Modeling and simulation on TRNSYS." International Journal of Refrigeration 35, no. 7 (November 2012): 1824–32. http://dx.doi.org/10.1016/j.ijrefrig.2012.06.002.

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Beckman, William A., Lars Broman, Alex Fiksel, Sanford A. Klein, Eva Lindberg, Mattias Schuler, and Jeff Thornton. "TRNSYS The most complete solar energy system modeling and simulation software." Renewable Energy 5, no. 1-4 (August 1994): 486–88. http://dx.doi.org/10.1016/0960-1481(94)90420-0.

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Šikula, Ondřej, Pavel Charvát, Lahouari Adjlout, and Omar Ladjedel. "Modeling of Radiators with Mass Flow Control." Applied Mechanics and Materials 887 (January 2019): 667–75. http://dx.doi.org/10.4028/www.scientific.net/amm.887.667.

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The topic of the contribution can be included in computer modeling of the thermal behavior of radiators for heating of buildings. Control of heaters leads to dynamic phenomena affecting the final thermal state of the heated room and heating energy consumption. The paper focuses on modeling of radiator quantitative control method using thermostatic valve. The objective of the paper is to show a quality of controlling and to compare an energy consumption when various thermostatic radiator valves time delay are set. The models of control, radiator, and a room are implemented in software TRNSYS. The results show significant differences in energy consumption.
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Geetha, R., M. M. Vijayalakshmi, and E. Natarajan. "Modeling and Simulation Assessment of Solar Photovoltaic/Thermal Hybrid Liquid System Using TRNSYS." Applied Mechanics and Materials 813-814 (November 2015): 700–706. http://dx.doi.org/10.4028/www.scientific.net/amm.813-814.700.

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The PV/T hybrid system is a combined system consisting of PV panel behind which heat exchanger with fins are embedded. The PV/T system consists of PV panels with a battery bank, inverter etc., and the thermal system consists of a hot water storage tank, pump and differential thermostats. In the present work, the modeling and simulation of a Solar Photovoltaic/Thermal (PV/T) hybrid system is carried out for 5 kWp using TRNSYS for electrical energy and thermal energy for domestic hot water applications. The prominent parameters used for determining the electrical efficiency, thermal efficiency, overall thermal efficiency, electrical thermal efficiency and exergy efficiency are the solar radiation, voltage, current, ambient temperature, mass flow rate of water, area of the PV module etc. The simulated results of the Solar PV/T hybrid system are analyzed for the optimum water flow rate of 25 kg/hr. The electrical efficiency, thermal efficiency, overall thermal efficiency, equivalent thermal efficiency, exergy efficiency are found to be 10%, 34%, 60%, 35% and 13% respectively. The average tank temperature is found to be 50°C.
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Jonas, Danny, Manuel Lämmle, Danjana Theis, Sebastian Schneider, and Georg Frey. "Performance modeling of PVT collectors: Implementation, validation and parameter identification approach using TRNSYS." Solar Energy 193 (November 2019): 51–64. http://dx.doi.org/10.1016/j.solener.2019.09.047.

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Perini, Katia, Ata Chokhachian, Sen Dong, and Thomas Auer. "Modeling and simulating urban outdoor comfort: Coupling ENVI-Met and TRNSYS by grasshopper." Energy and Buildings 152 (October 2017): 373–84. http://dx.doi.org/10.1016/j.enbuild.2017.07.061.

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Dissertations / Theses on the topic "TRNSYS modeling"

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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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Hand, Theodore Wayne. "Hydrogen Production Using Geothermal Energy." DigitalCommons@USU, 2008. https://digitalcommons.usu.edu/etd/39.

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With an ever-increasing need to find alternative fuels to curb the use of oil in the world, many sources have been identified as alternative fuels. One of these sources is hydrogen. Hydrogen can be produced through an electro-chemical process. The objective of this report is to model an electrochemical process and determine gains and or losses in efficiency of the process by increasing or decreasing the temperature of the feed water. In order to make the process environmentally conscience, electricity from a geothermal plant will be used to power the electrolyzer. Using the renewable energy makes the process of producing hydrogen carbon free. Water considerations and a model of a geothermal plant were incorporated to achieve the objectives. The data show that there are optimal operating characteristics for electrolyzers. There is a 17% increase in efficiency by increasing the temperature from 20ºC to 80ºC. The greater the temperature the higher the efficiencies, but there are trade-offs with the required currents.
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Bouvenot, Jean-Baptiste. "Etudes expérimentales et numériques de systèmes de micro cogénération couplés aux bâtiments d’habitation et au réseau électrique." Thesis, Strasbourg, 2015. http://www.theses.fr/2015STRAD044/document.

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La micro cogénération désigne la génération simultanée de deux types d’énergie à faible puissance. En énergétique, ce terme désigne en pratique la production simultanée d’électricité et de chaleur : le principe reposant sur la récupération de la chaleur fatale induite par la production électrique. Deux bancs d’essais ont d’abord été réalisés sur deux prototypes de micro cogénérateurs : un moteur Stirling à gaz et un moteur à vapeur à granulés de bois. Une campagne expérimentale a été menée pour caractériser chaque système au niveau énergétique et environnemental. Les résultats expérimentaux ont abouti sur deux modèles numériques dynamiques et semi-physiques de micro cogénérateurs programmés dans l’environnement numérique TRNSYS où une plateforme numérique de simulation a été développée. Celle-ci intègre principalement des modèles de systèmes de stockage d’énergie, des générateurs stochastiques de fichiers de besoins énergétiques et des stratégies innovantes de pilotage des systèmes et des charges selon des critères de précision et de réalisme.Cette plateforme a permis d’évaluer la pertinence énergétique, environnementale et économique de micro cogénérateurs couplés aux bâtiments d’habitation et au réseau électrique selon différentes configurations
Micro combined heat and power (µCHP) or cogeneration means the simultaneous generation of two energy types. In energetic fields, this term refers usually to the simultaneous production of electricity and heat: the principle being based on the recovering of the fatal heat induced by the electricity production processes.Firstly, two test benches were carried out on two µCHP prototypes: a gas Stirling engine and a wood pellets steam engine. Experimental investigations were conducted to characterize each system at energy and environmental levels. The experimental results led two dynamic and semi physical numerical models of µCHP systems programmed in the numerical tool TRNSYS where a numerical platform has been developed. This platform integrates mainly energy storage systems models, stochastic energy needs file generators and innovative management strategy of systems and energy loads according to precision and realism criteria.This platform allows assessing realistic energy, environmental and economic relevance of µCHP systems coupled with dwelling buildings and the power grid according to different configurations
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Ericsson, Mattias. "Solar assisted ground source heat pump system - modelling and simulation." Thesis, KTH, Tillämpad termodynamik och kylteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-173508.

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The influence of control strategies and storage tank sizes on the system performance of a solar thermal assisted ground source heat pump(SAGSHP) installation has been investigated. The system investigated is in the design stage and will be implemented in the project Slottsholmen in Västervik, Sweden during 2015. Using the simulation software TRNSYS the suggested system has been modelled in its entirety and the response of the system for different control strategies and storage tank size configurations have been investigated.The system is designed with a dual tank configuration where solar heat can either be used for direct domestic hot water(DHW) production(in a high grade tank) or utilized as additional source for the heat pumps(in a low grade tank) with the purpose of increasing evaporation temperatures of the heat pumps. Four different control strategies have been investigated. Two strategies where either tank is prioritized, one where the two tanks are run in series and heat can be delivered at two temperature levels simultaneously and one strategy where the low grade storage tank is by-passed and heat is only utilized directly for DHW production. For each control strategy a series of different tank size configurations have been tested. Results show that the influence of control strategies dominate the effect of different storage tank size configurations. Solar fraction for the system varies between 0.10 and 0.13 between control strategies while variations between storage tank sizes are close to negligible. The electricity use of the SAGHSP system has been compared to a reference system where the solar collectors are switched off. The results show that fractional energy savings of the SAGSHP system ranges from 0.066 to 0.099 between control strategies. Interestingly the fractional energy savings increases for cases with lower solar fraction. For control strategies which prioritize DHW production the temperature level in the solar collector loop increased thus leading to lower solar collector efficiency and less collected heat. However, solar heat used directly for DHW production leads to a higher electricity savings than using the heat as source for the heat pumps which explains the decoupling of fractional energy savings from solar fraction. An attempt to quantify the value of the harvested solar collected heat is done by introducing a performance figure named ''Solar Savings Efficiency'' which is the ratio of the electricity savings compared to the reference system to the collected solar heat. The Solar Savings Efficiency ranges from 0.23 to 0.46 with the higher value registered for strategies which prioritize DHW production.
Inverkan av strategier för styrning och ackumuleringsvolymer på systemprestandan hos en solkollektorassisterad bergvärmeinstallation har undersökts. Det undersökta systemet är i projekteringsstadiet och kommer att byggas i projektet Slottsholmen i Västervik under 2015. Genom att använda simuleringsmjukvaran TRNSYS har systemet modellerats i sin helhet och systemets respons på olika styrstrategier och konfiguration av ackumulatortankar har undersökts. Systemet är designat med två ackumuleringstankar för solkollektorkretsen där solvärme antingen kan användas för direkt beredning av varmvatten(en varm tank) eller som värmekälla för systemets värmepumpar(en kall tank) med syftet att då höja värmepumparnas förångningstemperatur. Fyra olika styrstrategier har undersökts. Två strategier där antingen den varma eller den kalla tanken är prioriterad, en strategi där båda tankarna är i serie och värme kan lämnas vid båda temperaturnivåer samtidigt samt en fjärde strategi där den kalla tanken alltid förbigås och solvärmen endast används för direkt beredning av varmvatten. För varje styrstrategi har en rad olika konfigurationer på ackumuleringstankarna testats. Resultatet visar att inverkan av styrstrategier dominerar över den effekt som olika ackumuleringsvolymer har. Andelen av systemets värmelast som betjänas av solvärme varierar mellan 0.10 och 0.13 mellan olika styrstrategier medan variation mellan olika ackumuleringsvolymer är nära försumbar. Elanvändningen i systemet har jämförts mot ett referenssystem där solkollektorerna är avstängda. Resultaten visar att besparingen i elektricitet relativt referenssystemet varierar mellan 6.6 % och 9.9 % mellan olika styrstrategier. Intressant är att elbesparingen är högre för fall med lägre andel solvärme. För styrstrategier som prioriterar varmvattenberedning ökar temperaturnivån i solkollektorkretsen vilket leder till lägre verkningsgrad för solkollektorerna och därmed lägre andel solvärme som förs in i systemet. Dock visas att solvärme som används direkt för varmvattenberedning leder till högre elbesparing än solvärme som används som källa för värmepumparna vilket förklarar den lägre elanvändningen vid lägre andel solvärme. Ett försök att kvantifiera värdet av den skördade solvärmen har utförts genom att introducera ett nyckeltal kallat ''Solbesparingsverkningsgrad (Solar Savings Efficiency)''. Nyckeltalet är definierat som kvoten av elbesparingen för en viss strategi/konfiguration jämfört med referenssystemet och total mängd solenergi som skördats. Solbesparingsverkningsgraden varierar mellan 0.23 och 0.46 med det högre värdet för strategier som prioriterar direkt varmvattenberedning.
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Lind, Philip. "A study of modelling the energy system of an ice rink sports facility : Modelling the heating and cooling of ABB arena syd and implementation of renewable energy sources using TRNSYS." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-40054.

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Environmental issues are important challenges for today’s society. Lots of the energy used by humans comes from fossil energy sources resulting in the environmental threats. A considerable amount of this energy is used in the building sector. Industrial buildings and sports facilities are large users of energy and thus becomes very interesting in an optimization point of view. Modelling of the systems allows for cheap and effective optimizing of the energy usage and effectivity measures can be investigated and implemented. This study creates a model of the indoor ice rink arena of ABB arena syd in Västerås using TRNSYS as the main software for simulation. Focus is placed on the heating of the arena through heat pumps and district heating, and cooling of the ice in the arena using cooling machines. The effect of PV as well as a battery storage in the arena is also investigated as an effectiveness scenario. The results from the study revealed that it is possible to simulate the heating demand for the arena, accurately identifying the normal demand as well as the instances when the demand peaks and the magnitude of the peaks. It is also possible to simulate the cooling demand for the ice over extended time periods. However, this study could not identify the peaks for cooling demand. It is also beneficial for the system to install PV, but not a battery storage. With current price levels for electricity it is however not a very beneficial deal. With higher electricity prices the investment is preferable. The study also concludes that TRNSYS can be used for modelling an ice rink sports arena, however it leaves room for improvement on that aspect.
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McDowell, Alastair Kieran Joel. "Thermal modelling and optimisation of building-integrated photo-voltaic thermal systems." Thesis, University of Canterbury. Electrical & Computer Engineering, 2015. http://hdl.handle.net/10092/11079.

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This Masters project has involved detailed thermal analysis of a unique renewable energies building. A TRNSYS model of this building has been developed and validated by real measurements and has shown to be capable of accurately predicting room temperatures and total heat gain from a solar-thermal roofing system. Supporting experiments were conducted experimentally and numerically. An experimental solar thermal testing unit constructed for the purpose of validating the solar-thermal roof concept. This experimental apparatus has been used to evaluate the effect of various operating procedures on the total heat gain from the system under a range of meteorological conditions. The validated thermal building model is used to conduct long-term simulations to provide a measure of year-round thermal performance of the building and estimated gains from renewable energy systems. Similar techniques are used to assist in the design and optimisation of a new transportable sustainable building concept in association with StoneWood Homes. It was found that a 4.5kW BIVP/T system could supply the small building with 100% of the yearly electrical energy and space heating requirements.
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Oravec, Jakub. "Dynamika otopných ploch." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2019. http://www.nusl.cz/ntk/nusl-392042.

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The diploma thesis is focused on the research of dynamics of selected heating surfaces behavior. The aim of the thesis is to determine the dynamics of heating and cooling and to determine the effect of these characteristics on energy consumption of the building. The project part deals with the design of a heating solution for a residential building in three variants. An Energetic simulation is made for the designed variants, that compares the consumption of thermal energy during one year. The next simulation research the dynamics of selected large-scale heating surfaces. For each construction, nonstationary models of heating up and cooling were made, which are compared in terms of the thermal inertia.
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Massaguer, Colomer Eduard. "Advances in the modelling of thermoelectric energy harvesters in waste heat recovery applications." Doctoral thesis, Universitat de Girona, 2016. http://hdl.handle.net/10803/398612.

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In this work, we investigate harvesting thermoelectric energy from wasted heat in fluid networks and propose a generic tool for the simulation and sizing of thermoelectric energy harvesters, that can be used in industrial applications to convert expended heat energy into electricity. Current models found in the literature are often based on very specific applications or are too general in nature to truly explore the optimization of a wide range of potential thermoelectric applications. The model developed in this work is highly customizable permitting the optimization of a large number of varying systems. We develop a theoretical model to accurately estimate the recovered energy considering the nonlinearities of the thermoelectricity and heat transfer equations. Taking into account that a real thermoelectric energy harvester always comprises multiple thermoelectric modules placed with respect to the flow direction, both thermal and electrical series-parallel configurations have also been considered. The new model has been analysed and validated under steady and transient states with experimental data. The proposed energy harvesting system is easily scalable, to cater to a variety of applications with different requirements, while improving the energy recovery and operational lifetime of energy sources. On the other hand, this new model is coded in the TRNSYS environment, hence it can be used in design, performance optimization and further application of thermoelectric energy harvesters. The programmed module will serve as the key component of the software package that will predict the performance of the thermoelectric heat recovery unit used in common thermal systems
En aquest treball s’investiga la recuperació termoelèctrica en xarxes de fluids i es proposa una eina genèrica per a la simulació i dimensionament de recuperadors termoelèctrics, els quals, poden ser utilitzats en aplicacions industrials per convertir l'energia tèrmica residual en electricitat. Els models actuals que es troben en la literatura es basen sovint en aplicacions molt específiques o són massa generals per analitzar realment el comportament de recuperadors en aplicacions reals. El model desenvolupat en aquest treball és altament adaptable pel que permet estudiar un gran nombre de sistemes diferents. S’ha desenvolupat un model teòric per estimar amb precisió l'energia recuperada tenint en compte les no linealitats de les equacions termoelèctriques i de transferència de calor. Tenint en compte que un recuperador termoelèctric comprèn sempre múltiples mòduls termoelèctrics col·locats en respecte a la direcció de flux, ambdues configuracions sèrie-paral·lel tant la tèrmica com l’elèctrica s'han considerat. El nou model ha estat analitzat i validat sota diversos estats estacionaris i transitoris a partir de dades experimentals. El model de recuperador proposat s’ha codificat per tal de treballar en l’entorn TRNSYS, de manera que pot ser utilitzat en el disseny i optimització de recuperadors termoelèctrics, és fàcilment escalable, permet atendre a una gran varietat d'aplicacions i requisits i, per tant, ajudar a la seva implantació en aplicacions reals. Aquest mòdul servirà per predir el comportament de recuperadors de calor termoelèctrics aplicats en sistemes tèrmics convencionals
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Kanan, Safwan. "Modelling of a solar pond as a combined heat source and store to drive an absorption cooling system for a building in Iraq." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/modelling-of-a-solar-pond-as-a-combined-heat-source-and-store-to-drive-an-absorption-cooling-system-for-a-building-in-iraq(1d356a21-e8ab-4491-9ebb-3be2caf0f092).html.

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This research studies the performance of a salinity gradient solar pond driving an absorption cooling system, as an alternative to a conventional electrically powered cooling system, to provide cool air for a modern single family house in the hot dry climate of Baghdad, Iraq. The system comprises a salinity gradient solar pond, a hot-water-fired absorption water chiller, a chilled-water cooling coil which cools the air in the house, and a cooling tower which rejects heat to the ambient air. Hot brine from the pond circulates through a heat exchanger, where it heats water that is then pumped to the chiller. This arrangement protects the chiller from the corrosive brine. The system is controlled on-off by a room thermostat in the house. The system performance is modelled by dynamic thermal simulation using TMY2 hourly typical weather data. TRNSYS software is used for the main simulation, coupled to a MATLAB model of heat and mass transfer in the pond and the ground beneath it. The model of the pond and the ground is one-dimensional (only vertical transfers are considered). Radiation, convection, conduction, evaporation and diffusion are considered; the ground water at some depth below the pond is treated as being at a fixed temperature. All input data and parameter values in the simulation are based on published, standard or manufacturer's data. Temperature profiles in the pond were calculated and found to be in good agreement with published experimental results. It was found that a pond area of approximately 400 m2 was required to provide satisfactory cooling for a non-insulated house of approximately 125 m2 floor area. It was found that varying the pond area, ground conditions and pond layer thicknesses affected the system performance. The optimum site is one that has soil with low thermal conductivity, low moisture content and a deep water table. It is concluded that Iraq's climate has a potential for solar-pond-powered thermal cooling systems. It is feasible to use a solar-pond-powered cooling system to meet the space cooling load for a single family house in the summer season. Improving the thermal performance of the house by insulation could reduce the required solar pond area.
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Burkholder, Frank. "TRNSYS modeling of a hybrid lighting system energy savings and colorimetry analysis /." 2004. http://catalog.hathitrust.org/api/volumes/oclc/56131138.html.

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Thesis (M.S.)--University of Wisconsin--Madison, 2004.
Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (p. 175-177).
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Book chapters on the topic "TRNSYS modeling"

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Bellos, E., C. Tzivanidis, A. Prassas, and K. A. Antonopoulos. "Modelling of a Solar Assisted Floor Heating System with TRNSYS." In Energy, Transportation and Global Warming, 355–69. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30127-3_28.

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Yang, Siliang, Francesco Fiorito, Deo Prasad, and Alistair Sproul. "Numerical Simulation Modelling of Building-Integrated Photovoltaic Double-Skin Facades." In Recent Advances on Numerical Simulations [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97171.

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Building-integrated photovoltaic (BIPV) replaces building envelope materials and provides electric power generator, which has aroused great interest for those in the fields of energy conservation and building design. Double-skin façade (DSF) has attracted significant attention over the last three decades due to its bi-layer structure, which improves thermal and acoustic insulation and therefore increases the energy efficiency and thermal comfort of buildings. It is hypothesised that the integration of BIPV and DSF (BIPV-DSF) would help buildings in reducing energy consumption and improving indoor thermal comfort concurrently. However, the prototype of the BIPV-DSF has not been well explored. Thus, the investigations of the BIPV-DSF are worthwhile. Numerical simulation is a cost and time effective measure for the design and analysis of buildings. This chapter spells out a comprehensive method of numerical simulation modelling of the novel BIPV-DSF system in buildings, which is carried out by using a graphically based design tool – TRNSYS and its plugins. TRNSYS has been validated and widely used in both the BIPV and building related research activities, which are capable in analysing the effects of BIPV-DSF on building performance such as energy consumption and indoor thermal condition.
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Conference papers on the topic "TRNSYS modeling"

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Giraud, Loic, Cedric Paulus, and Roland Baviere. "Modeling of Solar District Heating: A Comparison Between TRNSYS and MODELICA." In EuroSun 2014. Freiburg, Germany: International Solar Energy Society, 2015. http://dx.doi.org/10.18086/eurosun.2014.19.06.

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Raza, Hamza Ahmad, Sara Sultan, Shomaz ul Haq, Abid Hussain, Abdul Kashif Janjua, and Abeer Bashir. "Modeling of 1 MW solar thermal tower power plant using TRNSYS." In 2018 1st International Conference on Power, Energy and Smart Grid (ICPESG). IEEE, 2018. http://dx.doi.org/10.1109/icpesg.2018.8384499.

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Annis, Nicole C., and Stuart W. Baur. "Experimental and Modeling Comparison of Modular Photovoltaic-Thermal Solar Panels." In ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54491.

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The scope of the project included two steps. Step one was to create three prototype photovoltaic-thermal panels and test them. Step two was to model all photovoltaic-thermal panels using TRNSYS 16. The three different photovoltaic-thermal panels were tested simultaneously using the same inlet water source. The first two panels (Panel A & B) consisted of a highly conductive thermal sheeting and different sized copper tubing. The third panel (Panel C) consisted of copper tubing with an aluminum fin. Thermal images were used to verify the heat transfer across the panels and compare the amount of heat radiating off the back of the photovoltaic-thermal panels versus the standard photovoltaic panel. The purpose of this experiment was to create a modular photovoltaic-thermal panel, which would be easily implemented and maintained by the average consumer. A TRNSYS model was created for each photovoltaic-thermal panel to gather approximate year-round efficiency. The thermal efficiencies of photovoltaic-thermal panels A, B and C at 1.9 lpm (0.5 gpm) were 33.6%, 26.4% and 28.7%, respectively. Panels A, B and C at 1.9 lpm (0.5 gpm) had thermal gain plus electrical output equivalents of 394.0, 363.2 and 422.9 watts, respectively. The TRNSYS models of the prototype photovoltaic-thermal (Panels A, B and C) proved to be a poor representation of the actual texted panels.
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4

Jones, Scott A., Robert Pitz-Paal, Peter Schwarzboezl, Nathan Blair, and Robert Cable. "TRNSYS Modeling of the SEGS VI Parabolic Trough Solar Electric Generating System." In ASME 2001 Solar Engineering: International Solar Energy Conference (FORUM 2001: Solar Energy — The Power to Choose). American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/sed2001-152.

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Abstract A detailed performance model of the 30 MWe SEGS VI parabolic trough plant was created in the TRNSYS simulation environment using the Solar Thermal Electric Component model library. Both solar and power cycle performance were modeled, but natural gas-fired hybrid operation was not. Good agreement between model predictions and plant measurements was found, with errors usually less than 10%, and transient effects such as startup, shutdown, and cloud response were adequately modeled. While the model could be improved, it demonstrates the capability to perform detailed analysis and is useful for such things as evaluating proposed trough storage systems.
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5

Marion, Flore, Fred Betz, and David Archer. "Cogeneration System Modeling Based on Experimental Results." In ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90184.

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A 25 kWe cogeneration system has been installed by the School of Architecture of Carnegie Mellon University that provides steam and hot water to its Intelligent Workplace, the IW. This cogeneration system comprises a biodiesel fueled engine generator, a steam generator that operates on its exhaust, a hot water heat exchanger that operates on its engine coolant, and a steam driven absorption chiller. The steam and hot water are thus used for cooling, heating, and ventilation air dehumidification in the IW. This cogeneration system is a primary component of an overall energy supply system that halves the consumption of primary energy required to operate the IW. This cogeneration system was completed in September 2007, and extensive tests have been carried out on its performance over a broad range of power and heat outputs with Diesel and biodiesel fuels. In parallel, a detailed systems performance model of the engine generator, its heat recovery exchangers, the steam driven absorption chiller, a ventilation and air dehumidification unit, and multiple fan coil cooling/heating units has been programmed making use of TRNSYS to evaluate the utilization of the heat from the unit in the IW. In this model the distribution of heat from the engine to the exhaust, to the coolant, and directly to the surroundings has been based on an ASHRAE model. While a computational model was created, its complexity made calculation of annual performance excessively time consuming and a simplified model based on experimental data was created. The testing of the cogeneration system at 6, 12, 18 and 25 kWe is now completed and a wealth of data on flow rates, temperatures, pressures throughout the system were collected. These data have been organized in look up tables to create a simplified empirical TRNSYS component for the cogeneration system in order to allow representative evaluation of annual performance of the system for three different mode of operation. Using the look up table, a simple TRNSYS module for the cogeneration system was developed that equates fuel flow to electricity generation, hot water generation via the coolant heat exchanger, and steam production via the steam generator. The different modes of operation for this cogeneration system can be design load: 25 kWe, following the thermal — heating or cooling — load, following the ventilation regeneration load. The calculated annual efficiency for the different mode is respectively 66% 68% and 65%. This cogeneration installation was sized to provide guidance on future cogeneration plant design for small commercial buildings. The new cogeneration TRNSYS component has been created to be applicable in the design of various buildings where a similar cogeneration system could be implemented. It will assist in selection of equipment and of operating conditions to realize an efficient and economic cogeneration system.
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6

Marion, Flore A., Sophie V. Masson, Frederik J. Betz, and David H. Archer. "Cogeneration System Performance Modeling." In ASME 2008 2nd International Conference on Energy Sustainability collocated with the Heat Transfer, Fluids Engineering, and 3rd Energy Nanotechnology Conferences. ASMEDC, 2008. http://dx.doi.org/10.1115/es2008-54256.

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A bioDiesel fueled engine generator with heat recovery from the exhaust as steam and from the coolant as hot water has been installed in the Intelligent Workplace, the IW, of Carnegie Mellon’s School of Architecture. The steam and hot water are to be used for cooling, heating, and ventilation air dehumidification in the IW. This cogeneration equipment is a primary component of an energy supply system that will halve the consumption of primary energy required to operate the IW. This component was installed in September 2007, and commissioning is now underway. In parallel, a systems performance model of the engine generator, its heat recovery exchangers, a steam driven absorption chiller, a ventilation unit, fan coil cooling/heating units has been programmed making use of TRNSYS transient simulation software. This model has now been used to estimate the energy recoverable by the system operating in the IW for different characteristic periods, throughout a typical year in Pittsburgh, PA. In the initial stages of this modeling, the engine parameters have been set at its design load, 27 kW, delivering up to 17 kW of steam and 22 kW of hot water according to calculation. The steam is used in the absorption chiller during the summer and in hot water production during the winter. Hot water is used in desiccant regeneration for air dehumidification during the summer, in IW heating during the winter, and in domestic hot water product year around. Systems controls in the TRNSYS simulation direct the steam and hot water produced in the operation of the engine generator system to meet the IW’s hourly loads throughout seasons.
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7

Lawless, Sean, and Ravi Gorthala. "Comprehensive Energy Modeling of Tri-Sol: A Three-in-One Solar Concentrating BIPV/Thermal/Daylighting System." In ASME 2018 Power Conference collocated with the ASME 2018 12th International Conference on Energy Sustainability and the ASME 2018 Nuclear Forum. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/power2018-7213.

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A numerical model was developed in the TRNSYS environment (a transient simulation software) for Tri-Sol, a novel three-in-one solar energy system that produces electricity, hot water, and daylight for commercial buildings, to simulate its annual performance in terms of the three useful energy streams. Even though this model was developed for Tri-Sol, it can also be used for calculating the annual performance of similar concentrating PV/thermal (PV/T) and daylighting systems for various geographical locations. The model simultaneously calculates the codependent electrical and thermal performances, and calculates the useful daylight harvested by the building. The model is versatile and flexible in that any configuration of the modeled system can be properly designed using by changing parameters and inputs inside of TRNSYS. This model was used to predict the annual performance a single Tri-Sol PV/T module and a single Tri-Sol unit with five such modules as a function of its tilt and geographical location. Then, this model was used to compute the monthly performance of a Tri-Sol array for a 10,000 ft.2 building for varying geographical locations at a fixed tilt angle. These results show the utility and the power of the model for designing combined PV/T-daylighting solar technologies such as Tri-Sol.
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Muren, Russell, Diego Arias, Daniel Chapman, Luke Erickson, and Antonio Gavilan. "Coupled Transient System Analysis: A New Method of Passive Thermal Energy Storage Modeling for High Temperature Concentrated Solar Power Systems." In ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54111.

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A comprehensive analysis of passive storage systems was developed consisting of sizing, transient performance and cost models. The sizing model is described in an earlier paper. The transient model, written in TRNSYS, was developed to predict the performance of each storage system when coupled with a realistic solar field and powerblock. This effort includes the creation of a time and space discretized numerical, adaptive grid model and a suite of controllers. The model in TRNSYS was implemented to provide hourly or sub-hourly performance data for an entire CSP plant with passive storage. During the course of the work passive phase change material storage was the focus; although purely sensible passive storage systems, such as concrete and ceramic, were also considered. It was found that previous sizing model methodology developed in both industry and academia is insufficiently robust and does not produce trust-worthy sizing information when used to cost passive storage systems. Furthermore, it was found that, especially for passive TES systems, transient coupled system modeling is a requirement for correct size and cost calculations. Finally, it was found that the current figures of merit, namely cost per kWh LSC, are ineffective means of capturing the real comparative cost of a storage system. In the course of the work a new storage control paradigm for passive systems has been developed. Additionally, new modeling methodology, figures of merit, and performance sizing criteria are presented.
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Amin, Majdi T., and J. Kelly Kissock. "Dynamic Modeling and Verification of an Energy-Efficient Greenhouse With Aquaponics." In ASME 2016 10th International Conference on Energy Sustainability collocated with the ASME 2016 Power Conference and the ASME 2016 14th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/es2016-59180.

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This paper describes the application of ‘passive house’ design principles to greenhouses, in order to provide the required thermal environment for fish and plant growth while eliminating the need for conventional cooling and heating systems. To do so, an experimental energy-efficient greenhouse with water-filled tanks that mimic an aquaponic system was designed and constructed using the ‘passive house’ design principles. The greenhouse was extensively instrumented and resulting data were used to verify and calibrate a TRNSYS dynamic simulation model of the greenhouse. The calibrated simulation model was utilized to design commercial-scale greenhouses with aquaponic systems in multiple climates. After relatively minor design and control modifications, the simulations indicate that these designs can provide the required thermal environment for fish and plant growth, while eliminating the need for conventional cooling and heating systems. The work demonstrates that the passive house standard can be applied to improve conventional greenhouse energy efficiency, and that it can be easily adapted to provide excellent performance in diverse climates.
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Masson, Sophie V., Ming Qu, and David H. Archer. "Performance Modeling of a Solar Thermal System for Cooling and Heating in Carnegie Mellon University’s Intelligent Workplace." In ASME 2007 Energy Sustainability Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/es2007-36053.

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The Robert L. Preger Intelligent Workplace (IW) is a 650 m2 living laboratory of office space at Carnegie Mellon University (Pittsburgh, PA). The IW has received the first commercially available solar absorption system for air-conditioning with integrated controls as a donation from BROAD in August 2006. The IW is now testing this solar thermal system. A TRNSYS model has been developed and used to assist the design of the system, evaluate its performance throughout an entire year, and optimize its initial configuration. The components of the system are a 52 m2 parabolic trough high temperature solar array, a 16 kW hot water and gas fired absorption chiller, and an overall control system. This model predicts the energy required to cool and heat the south part of the IW (around 10 MWh in winter, 15 MWh in summer) and the fraction of that energy that can be provided by solar energy. The effects of significant system parameters — orientation of the receivers, volume of hot/chilled water thermal storage and insulation thicknesses on the piping and tank — on the fraction of solar provided energy have been calculated by the model. This study emphasizes on two significant aspects: - the impact of system integration during the preliminary building design on the energy performance, - the importance of the energy modeling to assist and optimize the design of the system and its operation but also to reduce the investment and operation costs.
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