TVD Simulation model

TVD is a simulation-based tool for the real estate and construction industries. It provides decision-makers with the information they need to make better decisions at all stages of a building’s life cycle.

In a construction project, you will traditionally gain more knowledge as the project progresses. However, the possibilities to strategically manage the project and influence the outcome is greatest at the beginning of the project and decreases as the project progresses. The simulation model provides the information needed to make the right decisions right from the start of the project.

When you start using the simulation model, just enter the software the basic information of your project such as:

  • desired functions for the property
  • zoning regulations
  • lot conditions

Based on the given data, the program simulates the building with all the necessary spaces and provides detailed estimates of the costs of the projects, total area and carbon footprint. The simulation takes into account all work steps from design to final cleaning as well as the necessary building components and technical systems.

Detailed information
about the property

The simulation model can also be used in property management. Property simulations can be done in just as detailed as necessary. With the help of a simulation, it is possible to evaluate the properties, plan a building’s life-cycle and future renovations and set goals for the maintenance of the property without complicated and time-consuming processing of huge data sets.

With the help of the simulation model, you have as much information as possible about your properties when you can still influence the final results. You will also be able to easily compare the effects of different options and identify potential change needs at an early stage of the project. In this case, you can focus on the essentials and find the right measures for the purposeful management of your real estate property or new construction projects.

How it works

In the simulation model, all building components and tasks are simulated at the early stage of the project. In this way, the goal is clear to the entire project team right from the beginning. The project is also easier to start with simulated data. The design and plans are immediately comparable to the simulated goal and, if necessary, replaceable by an alternative solution. In this way, the direct and indirect effects of the decisions can be made transparent through simulation. The goals and objective of the project are kept up to date and the undesirable results can be prevented.

Accurate modeling is created using algorithms


100 000



Algorithms connected like a neural network


Combined with an up-to-date price list database

The simulation model seeks to describe the building as it would be designed by designers and constructed by builders. The operation of the simulation model is based on nearly 100,000 measuring algorithms that are interconnected like a neural network. A single measuring algorithm calculates the result using the results of the previous algorithms as input data and thus further provides its result to the next measuring algorithms. Neural network modeling of interdependencies means that any part of the simulation can be modified, making the rest of the simulation to adapt to the changes made.

When the result of the simulation, e.g. a constructive description of the property, is priced using massive price list and carbon footprint registers, the most important key figures of the property can be calculated automatically, and a separate evaluation of the results is not required. In this case, separate evaluation tasks of key figures can be performed by describing the property itself. When prices change, there is no need to change the whole description of the property, but the price list and carbon footprint registers can be updated separately.


Information for better decisions at the right time

By entering the data of the different options into the simulation model, it is possible to compare different options quickly. The simulation model therefore provides important information to support decisions at an early stage of the project, when it’s still easy to influence the outcome. In the case of a new construction project, the simulation of the building makes it easy to check whether the planned solutions lead to the desired results and the achievement of the goals set for the project. For example, a new office building can be simulated even before the actual design phase begins by entering information about the purpose of the building, the desired spaces and, for example, the qualities of the lot into the simulation model. The simulation model estimates the cost of the project, the total surface area and the carbon footprint, taking into account all stages of construction. In addition, the simulation model also makes it easy to model the cost impact of an individual decision, such as a facade material.

A common vision for all parties of the project

When it comes to a construction project, the simulation model also provides a common vision for all parties involved in the project. The simulation model translates the needs of the client and the user into the language of the construction industry, so that all the experts involved in the project understand the common target and objections from the very beginning. That way, everyone is working towards the same direction and the project is more likely to achieve its goals.

Data to support investment decisions

The simulation model can also be used to evaluate existing properties and manage large real estate assets. By entering property data into the simulation model, the tool calculates the profitability, land value, carbon footprint and the property’s estimated life cycle with the repair program. When managing a large number of properties, information about the profitability of each building is easily and quickly available from the simulation model. In addition, it makes it easy to identify potential investment risks, properties that are less profitable, or properties that next require large investments. Thanks to the information obtained with the help of the simulation model, it is easy to make informed decisions regarding real estate assets as well. Want to hear more about how the simulation model works? Request a demo!