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Der Ohnemus
Your question has a simple answer: As per my knowledge, the only software out of the +200 MCDM in existence that can do that, is Linear Programming (LP), and in reality, it is a very simple procedure.
Think that whatever your target, you need to work with resources, that is, you need to adequate your demands, as everything in life, with your possibilities to reach the target.
Think, that if your target is to purchase a Mercedes Benz there is no way you can do that if you do not have a resource: Money to pay for it.
If a power house is delivering 400 MWh you can pretend that it delivers 500 MWh.
If you are producing product that produce contamination, above the legal limits, you cannot fabricate them
If you want to minimize costs of whatever good, you cannot pretend to have a cost less that necessary to produce the good
This means that you necessitate making comparisons between what you wish and the means or resources to reach that wish.
There is only one way to make this comparison and it is using linear inequations instead of linear equations, and only LP does this.
In addition, the LP algorithm gives you two values: The mathematical value for each criterion that corresponds to the result using the values in the corresponding criterion and from the initial matrix, and the wishes value. Then you can compare and even, for each criterion, determine in which extent your objective has been reached. For this, you need SIMUS.
Contact me if more information is needed
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I am working on estimating peak power demand for buildings. This might involve Solar cells. If it involves solar cells then mostly it would be advisable for me to go with TRANSYS . But I am interested in the general scenario of estimating peak power demand. Generally which out of two EnergyPlus or TRANSYS softwares is good to go??
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Hey there Aymmugan Aynkaran! When it comes to estimating peak power demand for buildings, both EnergyPlus and TRANSYS are powerful tools, but they serve different purposes.
EnergyPlus is primarily used for whole building energy simulation. It considers factors like HVAC systems, lighting, and other energy-consuming components. It's robust for assessing the overall energy performance of a building under various conditions.
On the other hand, TRANSYS, as you Aymmugan Aynkaran mentioned, is often associated with solar energy systems. If your focus is on incorporating solar cells and analyzing their impact on peak power demand, TRANSYS might be more tailored to your specific needs in that regard.
In the general scenario of estimating peak power demand for a building, especially if you're looking at a holistic view of energy consumption, EnergyPlus could be a more comprehensive choice. It takes into account a wide range of building systems and components.
However, if your emphasis is on the integration of solar cells and optimizing for renewable energy sources, TRANSYS might provide more detailed insights into that aspect of the building's energy profile.
Ultimately, the choice depends on the specific requirements of your project and the aspects you prioritize. Both tools have their strengths, so consider the key factors influencing your analysis to make the most suitable decision.
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Dear All
Does any body help me who to add to create multi-nodes in one zone in Type 56 in TRNSYS?
Many thanks in advance
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You welcome. I wish you the best in your building model.
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What are the applications of digital twins in conjunction with artificial intelligence, Big Data Analytics and other Industry 4.0 technologies in creating simulations of digital models of complex macroprocesses?
The technology of digital twins is used, among other things, to simulate production, logistics processes in business entities, i.e. in the microeconomic field. The creation of digital twins for specific economic and financial processes carried out in economic entities supports the management of these entities. Computer simulations of e.g. production processes, offering of services, supply and procurement logistics, distribution logistics, marketing communication with customers, etc. save time and money, as possible errors in decisions generate much smaller negative effects if they are realised not within the framework of real processes and a kind of experimentation on a functioning enterprise, company, corporation, institution, etc., but within the framework of computer simulation. but within the framework of a computer simulation in which various alternative variants of the development of the economic and financial situation of a company are considered and compared with each other as forecasts of specific processes defined for the following days, weeks, months, quarters or years. Therefore, since the pandemic, many companies and enterprises in Poland have been investing in the creation of IT systems equipped with digital twin technologies, within which it is possible to create multi-criteria, multi-faceted, complex simulation models of specific economic and other processes realised within the company, and/or simulation of processes realised at the level of the company's relations with the environment, with business partners, customers, cooperators, etc.
On the other hand, the possibilities of creating simulations for macroprocesses, i.e. e.g. macroeconomic processes, natural processes, technological processes, geological processes, social processes, long-term climate change, cosmological processes, etc., through the use of digital twin technologies and also other Industry 4.0 technologies, including learning machines, deep learning, artificial intelligence, analytics carried out on Big Data Analytics platforms, are a matter of debate. Year on year, due to technological advances in ICT, including the use of new generations of microprocessors characterised by ever-increasing computing power, the possibilities for increasingly efficient, multi-criteria processing of large collections of data and information are growing. Artificial intelligence can be particularly useful in the field of selective and precise search for specific, defined types of information and data extracted from many selected types of websites and real-time transfer and processing of these data in database systems organised in cloud computing on Big Data Analytics platforms, which would be accessed by a system managing a built and updated model of a specific macro-process using digital twin technologies.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What are the applications of digital twins in conjunction with Artificial Intelligence, Big Data Analytics and other Industry 4.0 technologies for creating simulated digital models of complex macroprocesses?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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The combination of digital twins with AI, Big Data Analytics, and other Industry 4.0 technologies has the potential to revolutionize the way we model and simulate complex macroprocesses. The applications of such technologies can range from predicting and optimizing macroeconomic outcomes to predicting and mitigating the impact of natural disasters. One potential application is in the field of climate modeling, where digital twins can be used to simulate the effects of various policy interventions and technological developments on long-term climate change. Another potential application is in the field of urban planning, where digital twins can be used to simulate the impact of various transportation and land-use policies on the environment and human well-being.
However, there are also ethical concerns that need to be addressed in the development and use of these technologies. For example, there may be unintended consequences or biases in the data used to train AI models, which could lead to inaccurate or unfair simulations. Additionally, the use of these technologies may exacerbate existing inequalities if they are only accessible to certain groups or if their implementation is not carefully planned and monitored. Therefore, it is important to consider the potential ethical implications of these technologies and to develop guidelines and best practices for their responsible use.
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Dear All,
I want to model a horizontal automated slat (motorized Louvers) on TRNSYS to simulate the daylight and heat gain/radiation through the window with the slats.
I am wondering how can I incorporate the shading device i.e. the horizontal slats on my model. Is it possible to draw the slats on google sketchup TRNSYS 3d plugin and do the trnsys calculation of daylighting and thermal radiation?
Is it possible to model these slats and change the tilt angle of the horizontal slats?
Thank you in advance.
Best regards,
Ashmin Aryal
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Dear Mr.Ashmin
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I would like to know whether there is a direct relationship between quantum computer technology and artificial intelligence. Can you provide your explanation with examples for more understanding?
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Yes definitely .
Quantum Computing and Artificial intelligence( Computing) are directly related to each other similar to Physics and Quantum Mechanics( Physics).
Quantum Computing development definitely would support to make more intelligent to machine ( Artificial Intelligence ).
Quantum computing conjures many myriads but one meaning is so fast computing that could not be countable in time.
Recognition of a person among the millions of people without taking time or thinking is quantum computing intelligence of humans that could be implemented in machines.
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I'm going to analyze wind flow in an urban area and the results of the velocity field are important. Envi-met looks good in thermal analysis and temperature measurement but minimizes the level of detail of buildings (which I do not know how much it affects the results). UrbaWind is another option I'm familiar with. Do you have any idea about it?
What about Ansys? Envi-met has the ability to get geometry from Google Maps, but I think importing geometry to Ansys could be difficult.
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After a long investigation, I myself recommend SimScale. the other suggestion would be Urbawind.
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Ansys 19.2 R2 and 2020 R1 versions of Additive Manufacturing Workbench is convenient for powder-based Additive Manufacturing processing. However, in this workbench, there is a machine parameter setting dialogue box and this parameter setting dialogue box has not included the laser power parameter. Without laser power, the powder material will not melt. So, how to add laser power in the machine parameter setting?
Thank you very much for your cooperation
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In Ansys Additive Manufacturing System there is no provision for setting laser power, the scan strategy also can not be controlled. The system adds material and heat all at once for each element layer i.e., instead of applying heat flux, the system sets the entire layer to the melt temperature.
For controlling the laser power and scan strategy you can use element death and birth technique in ansys workbench and apply heat flux on the elements for specific time depending on your scanning speed.
Thanks,
Ankit
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Good morning, everyone. To make simulations of a building what are the differences and common points between the following software: (Energy plus, Codyrun, Radiance).
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Use Revit plugged into insight 360 as one of the best tool for building simulation and modeling (BIM), it’s better than other software programs!
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Hello,
I'm about to start a project about designing an optimal heating algorithm for outdoor pools and hot tubs. The algorithm we are aiming for should take into consideration not only the current water and air temperature, relative humidity, pool surface and volume but also the predicted temperature in the next 24h in order to minimize the necessary heating needed to attain and keep a given water temperature (ex: 27 deg) in a certain time (like in 6h when people will bathe at 13h00).
I would be looking for the following two kind of advice:
1) Papers or reports about predictive control design methodology on energy efficiency
What appears different with our project is the fact that the required heating will be influenced by much later acquired solar heat during the day. How best to take such long term effect into account?
2) Tutorials and first hand experience with OpenFoam or TRNSYS on this kind of modeling problem:
I have a strong mathematical and programming background but no experience with either software or FEM/CFD. Any suggestion about which tool might be easier to model and experiment with for this problem?
Regards,
Bruno
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I would prefer to use the TRNSYS software. TRNSYS is a transient systems simulation program with a modular structure. It recognizes a system description language in which the user specifies the components that constitute the system and the manner in which they are connected. The TRNSYS library includes many of the components commonly found in thermal and electrical energy systems, as well as component routines to handle input of weather data or other time-dependent forcing functions and output of simulation results. The modular nature of TRNSYS gives the program tremendous flexibility, and facilitates the addition to the program of mathematical models not included in the standard TRNSYS library. TRNSYS is well suited to detailed analyses of any system whose behaviour is dependent on the passage of time. TRNSYS has become reference software for researchers and engineers around the world. Main applications include: solar systems (solar thermal and photovoltaic systems), low energy buildings and HVAC systems, renewable energy systems, cogeneration, fuel cells.
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Hi there,
I am looking for tips and tricks on how to model a cooling coil
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I would like to perform building simulation under future climate. The time interval of the most detailed GCMs is every six hours. Is it possible to derive hourly weather data from GCMs using RCM (RegCM)? Thank you.
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Morteza Babaei Thank you very much for the information. It is very helpful.
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I need someone to help me write the Physics for Simulation using Cosmol Multi Physics:
Fresh air is introduced into the coil at the inlet which is the left hand side of the coil. The shell consists of hot flue gas passing through it to heat the coil and the Air passes out through the outlet at the right hand side.
I want to simulate the temperature at the outlet over a period of 5 hours.
The focus of the Simulation is shown in the attached file below based on the error report from the COSMOL Simulation result. I need help to write
the Physics for Cosmol addresss the error.
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Kindly visit..
Intro to Modeling Heat Transfer with COMSOL Multiphysics.
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I am working on a study that needs to assess thermal comfort at the interior spaces of buildings as well as their surrounding urban space. As far as I know, Envi-met is the most suitable software for this goal, while most simulation tools analyze thermal comfort particularly on indoor or outdoor spaces. I was wondering if there's any tool that simultaneously analyzes thermal comfort in both types of space.
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To the extent of my knowledge, there is not a single tool or common workflow for this purpose, but you can build up your own workflow with a custom Rhino>Grasshopper algorithm using Dragonfly(probably the legacy version for the ENVI-MET calculations) and Honeybee, both from https://Ladybug.tools.
I recommend you to start building this workflow and/or ask your questions on https://discourse.ladybug.tools. there are main developers as well as professional users from both sides (indoor/outdoor) who can help you with the technical issues of this interesting project of yours.
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As i know , if we can realize the DNA structure , we can simulate it in computer . then we can try to rebuild it if possible .
so Given the technological progress, is it possible in the future?
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Compared to various living organisms characterized by a much lower level of organization and body structure, the human body has limited regenerative abilities. However, along with technological advances, in medicine, genetics, microbiological tests, etc., the possibilities of transplanting various organs, limbs, growing specific types of tissues and rebuilding certain parts of the human body are gradually increasing. One of the most difficult and perhaps impossible to implement in the future is the rebuilding of the central nervous system, including the human brain. Similarly, it will be extremely difficult in the future to build artificial awareness in artificial neural network systems as a continuation of the progress made in the development of artificial intelligence.
Best regards,
Dariusz Prokopowicz
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Regarding energy measurements in building sector I am using energy plus to simulate energy consumption in buildings. I am thinking how to evaluate and prove that my simulations are worthy?
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I agree with Jaqueline Litardo and would add that the more granular your actual data is, the more confidence you would have in the model if the differences are not significant according to ASHRAE 14. Granularity can be defined in terms of time (e.g., daily vs. monthly data), space (e.g., building level or per floor), and end-use distinction (e.g., HVAC vs. lighting). This level of information can be very helpful when calibrating your model too.
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I am making a LAMMPS simulation for a surface grinding procedure for my final year Mechanical Engineering project. Does anyone know where I could find the parameters (Epsilon and Sigma) for the Lennard Jones interaction?
Maybe eam too but I want to keep the model as basic as I could.
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It would be better to use a (modified) EAM potential for this or something that better reproduces angular dependence. See https://www.ctcms.nist.gov/potentials/system/Ta/ for a lot of examples.
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Dear all,
I have modeled a building in TRNSYS. I am cooling the building using the radiant panel on the roof integrated with simple cooling coil and other heat recovery devices (like enthalpy wheel, round around coil), for representing the radiant room.
I wanted to see the change in cooling load with a change in building aspect ratio the aspect ratio of the building from 1:1 to 4:1. The building with a 1:1 aspect ratio is 20m * 20 m * 3m and the building with a 4:1 aspect ratio is 40m *10m * 3m.  On doing so the cooling load of the building increased by around 4%. In my opinion, the cooling load of the building with an aspect ratio of 4:1 from 1:1 should increase more. Why is it just 4%?
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This work could help you to optimize the roof cooling:
Nisrine Laghmich, Ahmed Khouya, Zaid Romani, Abdeslam Draoui
The reduction of energy requirement by adapting the mosques building envelope for the six climatic zones of Morocco, December 2018, AIP Conference Proceedings, DOI:10.1063/1.5084989
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Hello everyone, im currently running a simulatión of pyrolysis of waste tyres, and I have been trying to estimate the amount of electricity that the crusher requires to reduce the particle size.
However, the following error appears.
DUTY NOT CALCULATED BY UOS BLOCK ,
UTILITY RATE NOT CALCULATED FOR UTILITY E
I honestly dont know what to do. It would be great if anyone could help out.
Im attaching the simulation file, in case anyone wants to see it. I´d be thankful for any advice on how to improve the simulation as well.
Thanks in advance
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I've just checked your file. You've specified a utility, but you failed to define the method to estimate power. Since you specify an outlet PSD, I would suggest you finding values to apply a communition law to estimate power demand, for which you might be able to test it yourself or find values in the literature. The Aspen help proposes values between 9-14 kWh/USTon for medium hardness materials (Bond's law). Other options are available, but they might require that you define parameters which you may not have available.
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In building E+ weather file, three types of Irradiance data are requested: GHI (Global Horizontal Irradiation), DHI (Diffuse Horizontal Irradiation) and DNI (Direct Normal Irradiation). With an usual weather station only GHI data are available, so is necessary to calculate the other components. Several model to calculate DHI starting from GHI were tried (UNI 8477, Iqbal, etc), but results are not satisfactory to calculate a reliable DNI data set.
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Giuseppe
I have encountered a similar problem. I use MERRA-2 datasets to produce DNI and DHI from 'surface incoming shortwave flux' (aka GHI) obtained from MERRA-2 data to create weather files for the NREL SAM tool. I use the DISC DNI model - http://rredc.nrel.gov/solar/models/DISC/ - and NREL DNI-GHI to DHI Calculator - https://sam.nrel.gov/sites/sam.nrel.gov/files/content/documents/xls/DNI-GHI_to_DHI_Calculator.xlsx . Both these calculators are Excel spreadsheets (I have converted them to Python. See https://github.com/ozsolarwind/siren/blob/master/sammodels.py).
Kind regards
Angus
PS: Thanks for the heads up Simon. pvlib wasn't around when I started my work. I may take a look at it.
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I was trying to understand the resistance model of the "integrated Model for Chilled Ceiling Panels" in TRNSYS 17. For that, I am reading and studying the "TRNSYS 17 manual volume-5", "Multizone Building modeling with Type56 and TRNBuild". I want to build up a thorough understanding of this model. I do not find any reference for this model.
It would be great if anyone can refer me to literature for this model, a research paper, or something.
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It is a correct procedure that suggests Saeed Rayegan . I completely agree with him.
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I am trying to simulate solar cell in AMPS .
But for simulation it needs material property like Relative Permittivity, Bandgap Eg (ev), Density of states in conduction band Nc (cm-3), Electron mobility μn (cm2/v/s), Hole mobility μp (cm2/v/s), Donor concentration Nd (cm-3), Acceptor concentration Na (cm-3), Affinity etc.
is there any easy way to get all the property of a individual material in a particular website or resource.
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The Energy plus documentation (input/output) specifies that for typical commercial buildings in the USA, a reasonable default value for ground temperature: building surface is 2 degC less than the average indoor space temperature. And a practician in 2011 mentions that he has seen many simulations doing simplified method:
- using the last month's mean temperature, less 1 degree.
Similar to the Energy+ O/I documentation and Aside from applying:
  • Auxiliary programs that can be simulated independent of the IDF file and determine detailed ground heat exchange ------ Ground heat transfer modeling " with "kiva"
  • Ground Temperature Calculation through a Basement\slab Calibration process.
- What is the best and easiest (more abstract) method, to input reasonable default values as a ground monthly temperature for small/large residential building models?
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thank you so much for your kind information@ Adel Boumerzoug
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I am modelling a building in TRNSYS with radiant cooling panel equipped with DOAS(Dedicated Outdoor air system) .
I need to calculate the cooling load. I calculated the cooling load by using "mcdt", the sensible heat taken by the cooling water in the radiant panel. And the rest is taken by the DOAS(Cooling coil) which is mcdt for sensible load and mLdt for the cooling load.
I want to check the heat gain from the building envelope, the occupants, lighting and the equipment and compare it with the cooling load i calculated.
Can you please suggest me how to find the gain from the walls, occupants,equipments and lighting by using the "built in output Q" in TRNBuild.
Can you kindly suggest me what "Q" value should i use from the TRNBuild output file of Type 56?
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B4_QWGAIN is an additional gain that can be defined within TRNBUILD. It can be used to simulate a heat flow on the inside of the wall. B4_QSOLAIR is the "convective energy gain of airnode due transmitted solar radiation through external windows which is transformed immediately into a convective heat flow", you can define it in TRNBUILD by a so called solar-to-air-factor (fraction of solar heat entering an airnode that is "immediately transferred as a convective gain to the internal air. This fraction depends on the quantity of internal items with very low thermal capacity such as furniture."
So, I think you don't need to define this values for you simulation. As you don't use it, B4_QWGAIN and B4_QSOLAIR are zero. The heat loss through the building envelope by heat transmission through walls, windows, roof etc. is B4_QTRANS. But you have also losses or gains by ventilation and infiltration, B4_QINF and B4_QVENT. But these values can also contain your heating energy if you heat the zones by ventilation for example. So, as mentioned before it depends also on the way you put the energy in the zones.
Best regards
Danny
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Exploring the context of urban form and energy integration shall help as an efficient measures beyond the building scale in improving the energy performance of buildings in urban areas.. Many energy models and techniques have been developed for this purpose in recent years. However, these models usually adopt the perspective of the building designer: they tend to consider buildings as self-defined entities, neglecting the importance of phenomena that occur at the urban scale. Urban geometry affects urban microclimate.. As noted by Givoni‘‘The outdoor temperature, wind speed and solar radiation to which an individual building is exposed is not the regional ‘synoptic’ climate, but the local microclimate as modified by the ‘structure’ of the city, mainly of the neighbourhood where the building is located’’. These changes in the urban environment result in modified energy consumption. Also, air pollution and noise are dependent on urban form, thus affecting the potential for natural ventilation via a behavioural mechanism. Despite the evident relationship between urban geometry and energy consumption, this link is generally neglected, possibly because of the complexity of the environmental processes involved. Most software for building simulation tends to concentrate on building performance ie, at the level of architectural and systems design, while neglecting urban environment.
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Hello,
I agree Envi-Met is a very solid software for urban microclimate simulations.
Other software you can try are UMI for Rhinoceros http://web.mit.edu/sustainabledesignlab/projects/umi/index.html though this one deals mostly with daylight, operational energy and embodied energy so with large group of buildings performance and little about urban comfort with the possibility to assess the walkability of the urban area.
Using Rhinoceros and the parametric design software Grasshopper then you have a large quantity of building performance also at district scale and urban comfort simulations using the tools of the group Ladybug Tools https://www.ladybug.tools/ that perform urban microclimate analysis through different validated simulation software.
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Hi, I have used Design Builder for basic building simulations but the limitation with Design Builder is that it cannot simulate a green wall, even though green roof can be modelled on it. I have heard Envi Met can be used for the purpose but haven't used it. Looking for some guidance.
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I used Envi-met for green roof simulations. You could explore the free version.
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to integrate with building simulation
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It depends a bit on resources available. For recording window opening-closing behavior, you could use sensors - which keep track if a circuit is connected or broken - to keep track if a window is open or not, you could be physically present in the room during your survey and keep track of it, you could use recorded footage to track opening frequency too. However, please have a look at the existing literature carefully first since there exist some quite nice models on window behavior which have also been at times implement in building performance simulation too. At the same time, even a very accurate model of the behavior may not be what is required. I would advise to carefully decide on what exactly you want to work towards and then decide what is fit for your purpose.
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Free updated weather files for building simulation (EPW, TMY, ...)
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Thanks i lot Ms Bekhta Mansour for your consideration. I do appreciate it.
Could you please send me the file ?
Sincerely,
Mouatassim CHARAI
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I have several factors like temperature, humidity, radiation and natural ventilation (wind speed) that affect thermal comfort in my CFD model. Now, I need the thermal comfort results (PMV) for my office model in Ansys Fluent. I don't know how to use the abovementioned factors to get it.
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Thank you Mr Asit Mishra
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I am creating a building multizone with TRNBuild /TRNSYS (Version 16)
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Enlightening.
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I am using 2RC Equivalent circuit battery model (time domain) to fit  26650 LFP cell data at 25,50,0 °C. When I simulate, the RMSE (Root mean square error in mV) value is high at low and high SOCs. What is the reason ?
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As you certainly know, the equations modelling the electro-thermal-chemical behaviour of Lithium-ion batteries are non linear ones.
So the derived electrical or electro-thermal models usually have their parameters as nonlinear function of SOC and temperaure. The relation of the open circuit voltage as a function of SOC is strongly non-linear near low and high SOC values. See for example Fig. 6 of the following reference:
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Does anybody know of a source for internal and external values for hc that could be used for building modelling?
hc woun’t be a static figure as it is a time-variant function of ΔT, velocity of fluid concerned and surface properties of the solid material, so for instance EnergyPlus software calculates hc dynamically. However I wonder if a source exists that gives average static values for material surfaces of various description?
Thanks
M royapoor
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Good morning. I recently finished the advise of a master student who wanted to verify the origin of that coefficients. Her work is in Portuguese, available by e-mail if you want. Pay attention that 1) hc usually contain linearized radiation components 2) hc reflect a possible interest of equipment manufacturers to super estimate heat losses. 
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AMY- is Actual Meterological year or year to year hourly climatic data. This can be effectively used in building simulation for building performance evaluation.
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Thank you!
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i gave my first cell height is 0.0020 accordingly with roughness measurements (0.0019) Ks< first cell height. Can i run this model in LES. ( Model height is 0.7 , width is 0.15m and Domain height is 1.8 m all are accordingly with wind tunnel test section). 
Its is possible to run a terrain profiles simulation in ANSYS Fluent, accordingly with roughness parameters limitation (Ks< first cell height) in LES?
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Could you expand your question with the details of your problem? Why are you working with LES in such a problem?
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I came across a few new Python packages related to EnergyPlus IDF file manipulation: 
Are there any other new examples out there?
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TEASER - Tool for Energy Analysis and Simulation for Efficient Retrofit:
It can generate Modelica models for simulation of city districts (thermal building performance, ). The respective Modelica library with basic simulation models we develop is called AixLib (like the french "Aix la Chapelle" for the city we are located). It is based on the Annex 60 Modelica library (a world wide collaboration for building simulation models for building and HVAC simulations.)
A bit off topic maybe: Pymola is a python library that can parse part of the Modelica language and transfer it into python. There you can make use of Sympy, for example, to analyse/optimize the model. Very cool stuff, but at the moment probably not able to handle complex models with media and discontinuities that we use for building simulation.
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How to install over 1.8m colorbond wall?
Dear Sir/Madam,
I would like to instal colorbond to cover our site. However, according to wind speed, it is not available to build over 1.8m height. we pland to have a 2.4m colorbond but to do that, we need some kind of support or material which won't have demage even if wind is strong.
1. is there any calculation or formula that i need to use to calculate colobond maximum height?
2. what other material i can use to make 2.4m height?
best reagrds,
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I would like to optimize the inspection and maintenance process in buildings, taking into account the future effects of climate change in their degradation. I mean, I would like to decrease the costs of them procedures, apply the suitable techniques in the accurate time, and increase the lifespan of the elements of the building rehabilitated.
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Dear Katharine,
I am very grateful for your collaboration. Thank you very much!.
Kind regards,
Pablo.
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I want to calibrate my building energy model using measured temperature data, I know it can be done using measured heating/cooling energy consumption of building as mentioned in ASHRAE guidelines, but can we do it with temperatures also ?
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Does anybody know the best validated method for dynamically calculating the CHTC for a concrete ceiling inside a building? I know that great variations are reported (below are two good sources), but just wondered if anybody has a source that gives the best results for a naturally-induced scenario.
1- Review of external convective heat transfer coefficient models in building energy simulation programs: Implementation and uncertainty
2- Variability and impact of internal surfaces convective heat transfer coefficients in the thermal evaluation of office buildings
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Did you try with the estimation of convective heat transfer based on Raleigh number for free convection as it is described in literature like "fundamentals of heat Transfer". It will cause some time to model but my experience with These empirical Solutions was always very good. And very important, if you have heat exchange between surfaces do not forget the radiation. In systems with free convection and radiation the heat transfer via radiation usually is higher than the transfer via convection. 
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I have been looking in the literature for Benchmaring methods and I found many methods for that purpose. 
Could anybody advise about a start point (good reference) and what is the best method that can be used?
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Hi Samah,
It's true there are many methods and approaches to benchmarking, but what the 'best method to use is' depends largely upon what you are trying to do.  For example are you intending to compare the predictions from building performance simulations or actual monitored data gathered from a real building.  
In the UK we often compare a building's energetic performance to what a 'notional building' built to the current Building Regulations (Part L) might  achieve. We also compare to advanced performance (or best practice) standards such as the international Passivhaus standard or near Zero Energy Building performance standards when assessing whether a building is energy efficient or not.
When you are benchmarking anything one of the important things is to make sure you are comparing 'apples with apples'. By that I mean making sure that you have normalised as many of the uncertainties and assumptions as possible, as most standards and software tools use different assumptions and methodologies, making intermodel comparisons difficult.  
None of the above standards really consider wider sustainability issues however, so if you want to consider these factors in your benchmarking you might want to look at the various BREEAM and LEED standards etc. or even develop your own. 
For more information on some of the above issues in practice you might like to read my paper 'An investigation into recent proposals for a revised definition of zero carbon homes in the UK' - available from either of the links below:
Hope that helps
Rob
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we currently have found some old aqueduct under the site of 22 stories building. it cost very much to excavate and improve soil, because as GPR shows, aqueduct developed about 10 m in depth !! origin soil is very hard marl.
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Drill and pressure grout
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I want to study the free oscillations of a 7-storey structure. Apply a displacement to external nodes of the tree by running "initial x disp" but nothing happens. I would like to deform the structure and let her go back to the equilibrium position but nothing happens. Can you tell me where I'm wrong? Maybe I should not use the initial command?
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Thanks to both for the answers. I'll try to follow these solutions.
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I was trying to model a 3D building in the SeismoStruct platform. The actual RC building has staircase in a corner region. Now my question is how can I model that staircase or can account the effect of the staircase during my analysis. Since I will be modelling only the stair slab so, I hope the element class will be same as regular slab. Note that the slab in this case will be inclined. Thanks in advance for all those who are going to contribute by answering my question.
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Thank you very much for your reply. In case of SeismoStruct the slab elements are modeled as rigid diaphragm and "shell elements" are not explicitly available in SeismoStruct. However, what if I would like to ignore the presence of stair case for the simplification of the model? Is there any way to compensate the effect of having a stair case?
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We are undertaking a literature review task on positive and negative impacts that have resulted from simulated and actual insulation of residential and commercial buildings in Hot climates and Hot & Humid climates.
Aspects we are trying to consider include: 
1. Thermal comfort
2. When insulated, do the buildings store more heat
3. Condensation risk
4. Built fabric issues (i.e. durability)
Any referenced journal articles, peer reviewed conference papers or reports would be appreciated. 
Thanks, mark
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Dear Mark Dewsbury,
If you are using insulation then the building should be air tight as defined by ASHRAE standard. One of the previous answers rightly said that insulation is more advantageous for colder climates. Again applying insulation define whether you are using thermal mass of the building envelope or excluding it. One this is clear that if you apply insulation from inside then you are eliminating thermal mass effect of the building envelope. In this case there is chance of formation of cold-bridge if insulation is not done carefully. Also unwanted infiltration will be a problem because it will lead to large fluctuation in indoor temperature.
To test the effect of insulation (when applied from inside) in a naturally ventilated building in warm and humid climate I carried out simulations in TRNSYS. I found that there are huge fluctuations in indoor room temperature compared to base case without insulation.
Thermal comfort will deteriorate if there are huge fluctuation in indoor temperature so in warm and hot climate it is always advisable to play with thermal mass (thermal capacitance). Only concentration with U or R value will not solve the problem.
you can find following paper in my profile. If you wish you can read. If you have further question about the study I will be happy to answer.
Design Optimization of Vernacular Building in Warm and Humid Climate of North-East India, PLEA-2014.
Regards,
Manoj
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I am simulating a building whose cooling load is 40 tons. I am using double effect absorption chiller type 697. I need to know how can I modify the external files according to my requirement. I need to know heat energy required from hot water to get the 40 tons of cooling. Can anybody help me with that?
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Thank you madam
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simulation of solid desiccant cooling system
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Hi Dilip Jani
In TRNSYS, and generally in BES ventilation rate is given (input), it can be measured or estimated by other tools (e.g.CFD)
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During checking simulation result from EnergyPlus, i found that result value of Fan Coil Heating Rate is different from Heating Coil Heating Rate. The target building in the model is equipped with FCU and Gas boilers, which means that hot water circulates through each Heating coil in FCU. so i thought that heating rate of Fan Coil and Heating Coil must have same value. But they don't. i cannot understand why it happened. Please explain why it happens if anybody know the reason. T^T
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I don't know Energyplus, but the difference between heating coil and fan coil is that air is forced through fan coils, while it goes by natural convection throug heating coils. Therefore, for the same coil and same temperature difference, the heat exchange rate is much larger in fan coils than in coils withhout fans.
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Using any advanced interface of Energyplus( Designbuilder etc.)
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I'm validate and simulate Trombe wall in plus energy
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I am simulating a building which has about 48 tons cooling load. When I try to connect cooling coil type 697 with absorption chiller type 677, I get the following error message.
"TRNSYS Message 118 : The subroutine SAT of the utility routine PSYCHROMETRICS, which calculates the thermodynamic properties of moist air, has been called with a temperature below absolute zero (-273 C) Please check the type routine which calls the psychrometrics routine for possible sources of errors.
Reported information : Error 118"
If i reduce the cooling capacity of the cooling coil, the error message vanishes but chilled water temperature approches to 500 C.
Can anybody help me with this?
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Please go through the following link for further details of simulation
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The valid standard ISO 10211 do not consider this possibility, and ignores this thermal flux which may increase LTT by 15% (see following publication with DOI: 10.13140/2.1.4451.8726).
In my opinion, inclusion of this heat flow is physically and technically reasoned, because the floor heating is often an integral part of the structure (floor, ceiling, etc.). This approach would however lead to pressure on the more precise solution of thermal bridges in such structures.
Would it be useful?
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Yes it would be useful. You are right - inclusion of this heat flow is physically and technically reasoned.
This will have a significant impact, if we do not take into account the structural detail for example - around the peripheral wall edge missing "strip" and similar... (in connection of the peripheral wall and floor).  This impact should also be taken into account in the calculation - and perhaps even at today's effort to minimize heat loss and gets the category of "passive" houses.
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I would like to deepen a set of qualitative indicators for assessing (and monitoring) building vulnerability to earthquake when the information commonly used in literature are not available. In my case study the qualitative assessment of the building stock is too difficult do to the information about the project of the structural system are not available, building maps are not updated and the main construction elements are not visible. The building stock is a set of government buildings that could be strategic for managing the impacts of the earthquake.
With my research unit, we consider the building as a system and organized the element at risk in three classes: human life, building operation, information and data stored in the building. We posit that building vulnerability depends on three main conditions (sub-systems): structural capacity; use typology (including users number and typology); morphology and distribution of the space (indoor and out door). For each of that we prepare an inspection formt containing a set of potential indicators of the sub-system vulnerability.
Before of advancing in defining the assessment method, I would like to have a check with the scientific community about our first approach.
Suggests concerning the assessment method are welcome as well.
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Hi Marina,
That's a very interesting topic. With regards to the structural capacity assessment, I would follow an issue tree, i.e. a non-linear condition assessment methodology with branches expressing mutually exclusive and jointly exhaustive cases. You can start by asking whether the structural system info is available or not. If it is available, what is it? Say, it is a masonry building, then the qualitative assessment indicators should, among other things, include overall structural integrity, the current level of preservation (a very vague term - you need to define your criteria clearly for each class), what type of masonry it is (single/multi leaf, is there any metal connectors etc), structural system/condition of the roof, structural cracks and which action these might be an indication of, condition of the joints to evaluate the integrity of masonry, any tilted walls or visible deformations in the arches/vaults (if any) or sagging in the slabs etc. You may want to integrate slightly more quantitative parameters such as wall thickness and size of window/door openings in proportion to the whole wall or facade here - but of course it all depends on what level of detail you target, budget available for this survey work etc. 
If you do not know what the structural system is, then you can base your logic flow on the existing damage and maybe size of the structural members (if any) and wall thicknesses. 
There are many such research papers focusing on masonry that I am sure you are aware of. Each structural system has its own potential problems intrinsic to it (in the concrete buildings the design codes’ criteria can be somewhat reflected in your forms in non-quantitative terms, for timber buildings connections are crucial etc.), but I think the best way to handle this is to proceed as a logic tree and the level of information you have for each building should be somehow reflected in your final evaluation (maybe in the form of a coefficient expressing level of confidence).
On the other hand, the last two sub-systems, i.e. use typology, and morphology and distribution of space, are not completely clear to me. I understand that the function of a building can be used to generate an importance factor, similar to the ones that we find in the codes, but it seems what you have in mind is more than that. With regards to the latter, the only thing that I can think of is the plan and mass regularity and how it relates to adjacent buildings, which are surely parameters that need to be considered, but what else?
Hope these thoughts help.
yase
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Dear experts,
I am doing a building simulation using TRNSYS. I already validated the thermal property of my base model.
Now I am going to simulate the building using the weather data of urban climate simulation. I am wondering that how could I determine the air infiltration rate for my simulation. I know that the air infiltration rate is strongly influenced by the wind direction, wind speed, the size of window, etc... but wind direction and wind speed seem to be the domain factors.
My question here is how to relate the wind conditions with the air infiltration rate?
Thank you very much for your nice answers!
Best regards,
NGUYEN Huy Tung
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Yesterday was the 70th anniversary of the bombing of your city.  My heartfelt condolences.
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Lighting consumes about 30% to 40% of the total electricity use in large buildings in University. Commonly in building simulations, static time schedules for typical weekdays, weekends and holidays are assumed to represent the dynamics of lighting energy use. Lighting energy use, which can be influenced by occupant behavior in buildings. What is the better solution (low cost and high efficiency) to energy saving of lighting consumption in university? If we don't consider the solution involve any kinds of sensors. Any contribution is greatly appreciated.  
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If the building is designed to use daylighting, the contribution of artificial lighting will be reduced. Best solution is to adopt task lighting so that lighting levels are obtained efficiently.(Lumens/watt). Refer to CIBSE and SLL lighting codes.
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I am trying to find the total cooling load of building in TRNSYS. I get the output for sensible load but latent load is always zero. What could be the cause of this error?
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Thank you sir
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[EnergyPlus building simulation] It's a technical question. I'm looking for a way of reporting transferred heat through specified surfaces of a building. I understand it seems not available in the current version of EnergyPlus. So, I'm gonna utilize other useful output variables, but I find the "Opaque Surface Inside Face Conduction" not listed in .rdd. I'd appreciate if someone could help me. Many thanks!
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Thanks Judkoff, but now I've got an answer. I should have created an "Output:Diagnostics" object in my idf file.
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I'm working on a simulation in TRNSYS 17 and whenever i try using type 62 to export the data to an excel file something goes wrong.
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You can use online plotter with a file (Type 65). Then you have to link one blank excel file to it. after simulation is complete you will find that the displayed result data is saved in excel file. Please be careful do not use ".xlsx" instead use ".xls".
Regards,
Manoj
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Building simulation models for a solar combined cooling heating and power system with control optimization based on exergetic analysis parameters. Was hoping to receive articles on similar work.  
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The following information may be useful for your research
Abstract: in this paper,combined  solar heating and power system is analyzed by exergy method; 
Ref: Exergy Analysis of Concentrated Solar CHP System for Building Scale Utilizationl
Yan Min Han et al., 2014, Advanced Materials Research, 1008-1009, 35-39
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Kindly tell me which function or code would be used to stop the working of a water heating system, built in TRANSYS, for 3-4 months. The system will remain in working condition for the remaining months.
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Dear Aamir,
If you want to imitate case when system is off because of some abnormal situation (blackout, fault, human interruption etc.) I would recommend to do following. In TRNSYS 1-on & 0-off control function is used and controllers typically give 1 or 0 as an output signal. Create a txt external file with 0 for the off situation and 1 for all the rest simulation period. Link this file with TRNSYS and multiply values with output from controllers. This will give you normal operation with off period when you want.
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this question is asked in order to do a research for evaluating the effect of significant factors in ventilation system of building.
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Why not use Energy Plus (Energy +) simulation engine for detail analysis?
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Any article, journal, or any publication will assist tremendously.
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Building Energy is a very wide field which is affected by a variety of factors on many scales. the highest impact on energy consumption is caused by heating and cooling loads, and some of these factors are :
1- Site of the building, and the exposure of the building to the sun and how much this affects the heating and cooling loads.
2- the regional climate in which the building exists, and its influence on wind speed and direction, temperature, humidity levels and so on . and this is important to calculate the thermal comfort zone for the building which if exceeded, the users of the building will use more energy to feel comfort again.
3- Light design also affects the use of energy. would you design the building to benefit from natural light or you will depend on artificial lights ?
4- Also the material of the building highly affects the energy consumption, it is good to use recycled materials and high performance ones with high capacity which able to isolate the building interior from the outside in hot ad cold climates.
and here is a good helpful book entitled : Sun, Wind and Light which explaines in detail all the factors .
good luck
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Is anyone using a solar envelope in topical areas? Is there any software to assist in calculations? I used to build this manually, but was wondering if there is anything anyone can suggest.
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Dear Claude-Alain Roulet,
The first term of Solar envelope was issued by Ralph L. Knowles, at his book : Solar Envelope concepts he mentions that The solar envelope is a space-time construct. Its spatial limits are defined by the parameters of land parcel size, shape, orientation, topography, latitude, and the urban context. Its time limits are defined by the hours of each day and season for which solar access is provided to neighboring land parcels, and the time interval will vary according to land use and community attitudes toward the value of solar irradiation.
I've been doing several experiment for this solar envelope compile with urban form and massing parameter such as building coverage, floor area ration and ratio of space between building using autoCAD and sketch-up. but, somehow i haven't find the exact clue for building density and distribution
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I'm using gromacs and both all atom and coarse grained forcefields are necessary.
Regards.
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In this case, you need a field describing the thermodynamic properties, like AMBER-ii, TraPPE, OPLS.
However, if the phase separation is in aqueous solution, none of them does not help. Perhaps then it is better to use AMBER-i. This is previous unpublished version of AMBER-ii. In it is a more realistic interaction of alkanes with water.
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Many studies show significant discrepancies between simulated and measured energy use in buildings.
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Do not mix the accuracy of the model (i.e the series of algorithms that handle input data to predict the energy use of the building) and the accuracy of input data.
Several studies have shown that, when input data are acurate enough, (i.e. those measured for the modelled building), the predicted energy use is very close to the measured one for most models available and used since some time. These models have been the object of a so-called validation procedure, checking that for a set of measured (i.e actual) input data, they give the same output as the measured one. If this procedure is completely and carefully followed, the model should have no error at all.
The main factors for the discrepancy can be sorted in two families:
1) the errors made by the model user himself. In the frame of the COMIS project, we asked several persons to compute, using COMIS, the airflow rates in two buildings. One of these was very accurately described in very details. All input data was given, the users had only to provide these data into the programme. It was found that several peiople dide some input mistakes, leadfing of course to erroneous results.
2) The input data are never all known accurately, The user has to estimate their value or to pick them in tables that give average or common values, but certainly not those that exactly correspond to the modelled building. The building modelled this way is an "average" or "commonly agreed" building, but not the building that uses the measured amount of energy.
I will end with two examples: Measurements of energy use of series of identical homes in several countries have shown that the energy uses is distributed in a bell-shaped distribution, spread between 50% and 150% of the mean value. This is generally attributed to the inhabitant behaviour. When models are used an average inhabitnat is used as input, and it is very difficult to get input data corredponding to teh behaviuour of a given person.
If you run a few hundreds of time a model with the inpuit data of a given building, changing at eeach run all input vasriables at random but remaining within a reasonable range (e.g. dimensions ± 0.1%, U-values ± 10%, airflow rates ± 20
%, etc.) you get hundreds of results that are also distributed within a pretty large range. The lowest the energy use of the buildign, the largest the range is. This test is a so-called MonteCarlo sensitivity analysis. Other techniques for the sensitivity analysis can give the effect of the variation of each variables or combination of variables on the result.
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I'm interested in developing effective interventions in building sector energy policies. Are certifications and energy labels well structured? Is it different to use dynamic simulation or simplified evaluations (under the point of view of the energy level or class obtained)? In some countries energy labels can be obtained by using both strategies, but simplified processes are commonly used. Will it be better to request dynamic simulation for each new construction or renovation?
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I think your question can be divided in two:
Labeling are important for a number a reasons, One being the information and awareness it produces. In that sense, it has a major role in facing climate change. Of course that the certification itself doesn´t produce any reduction on energy consumption. However, the increasing strigent regulations in thermal performance in buildings are already producing a significant reduction of consumption in building services. In my point of view, it is still too focused in new construction.
We have a pretty well structured certification scheme in Portugal. I think you can see more information about the different schemes here: http://www.epbd-ca.eu/.
In my point of view, dynamic simulations are more accurate and take in account a number of factors that simplified calculations obvioulsly not, but it is not feasible from the technical or economic point of view to produce dynamic simulations for every building being constructed or renovated. That being said, I believe that in some cases, energy performance are being over simplified and could result in higher classes obtained. In my opinion, you have to ask yourself: What is the purpose of energy certification in buildings? It is really worthy it to be that accurate? Or simplified calculations serve the purpose?
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In the design phases, several passive strategies are typically considered based on climate analysis, building type, etc. I'm looking for specific examples in which such passive strategies identified are incorporated into the design, where their effects are quantified and/or optimized using simulation tools or otherwise.
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Hi, check out my paper attached. It might be interesting