Services
Dashboards for investor decision making
The dashboard at hand goes beyond intuitive data visualization: we link model-based and data-based information on a customized control panel to compare different scenarios, as needed. Depending on the construction, the input data can be modified on both the service provider’s and on the customer’s side, with changes trackable in real time. Automated processes ensure an in-depth analysis of the dashboard. The model-based connection means that the cost side can be linked to the revenues from the early stages of the investment to operation, all with adjustable parameters and dynamic change monitoring.
Model based energy concepts
The operational and cost implications of different energy concepts are determined by simulations from an early investment stage. We analyze different standards and determine the appropriate energy system within the given investment structure, whether it is at the level of a building or even a city.
ESG services by Energy Quick Scan (EQS)
EQS is a machine learning tool designed to analyze and compare energyretrofit solutions applicable on a specific building. A large number of pre-specified building improvements are rehearsed on a simplified 3D model of the building, and the results are analyzed by energy class, cost and complexity. Output data, including energy efficiency class, energyconsumption, retrofit cost, is dynamically recalculated. The output is revised by experienced architects and engineers to adjust to the technicalities of the specific building.
Area optimization
In the case of urban-scale real estate development, maximizing investor profit is mainly determined by the development concept and site geometry. With our unique approach, it is possible to compare a large number of versions for land division, identifying the building block that maximizes regulatory parameters. The service also helps identify the differences between various building regulations, which can determine the potential increase in value due to a regulatory change.
Automated flatmix
The automated flat mix allocation is fine-tuned by the priorities of the real estate developer. It reduces planning time and determines the ideal flat layout in the building block. The system can automatically determine sales target numbers at the beginning of the master planning stage, based on investor preferences. Generative algorithms enable the software to swiftly create a large number of appropriate apartment allocation options, as well as determining the optimal layout, following algorithmic testing.
Urban scale simulations
In the course of urban-scale simulations, spatial analyses of the installation can be performed. Testing helps to improve public space comfort and to identify main public spaces, façade surfaces, and the most valuable estates. The simulations can make propositions for a building that fits ideally into the urban context, for the optimized ground floor plans and function mix as well.
Building scale simulations
Building-level simulations can improve the efficiency of a building and ensure compliance with building certification systems (BREEAM, WELL, LEED) and regulatory requirements. In addition to conducting the simulations, we also provide recommendations for architectural and technical solutions to increase user comfort or help relevant building compliance. Operational and sales profits are maximized by solutions based on the simulations.
Digital twin support and monitoring
The digital twin is a three-dimensional digital database created from the building, suitable for storing and querying information. It enables radically more efficient investment planning, implementation, and operation. Automated processes based on the digital twin can accelerate and optimize implementation, improve cash flow planning accuracy, and achieve a more energy-efficient and better organized operation. Our goal is to serve the entire life cycle of the building by creating the most efficient digital twin models.
Automated design support
We believe that the future of design is automated. We are constantly researching tools that can reduce the number of repetitive tasks and speed up the design process. In addition to increasing productivity with the same resources, programmed algorithms also help reduce errors. With the appropriate project structure and work method, we connect parameters to the model, making it easy to track design changes quickly and simply.
Model based quality assurance
We approach the BIM model created for the building with a management mindset and use it as a quality assurance tool. Automated checking processes can reduce the number of design errors. In addition to geometric checks, information content and compliance checks are also within our range of possibility. By compiling BIM requirements and auditing models, we support our partners to receive the highest quality plans.
Model based budgeting
Model-based reports go beyond listing the quantities of applied materials. In addition to reliable and fast quantitative data reporting, we have connected regional building data related to the building's function and character (considering the level of development of the model), thus enabling us to compile analyses from the early stages of design. In addition to the expenditure side, the model is also related to revenue-generating items, allowing the execution simulation and continuous monitoring of the return on investment of construction projects.
Construction data management
The preparation, design, and operation phases repeat cyclically throughout the building lifecycle. In the new construction environment, it is important to establish a proper data structure to avoid information loss. The available data will help optimize CAPEX and OPEX plans.
Research and development projects
Our common future matters and we function as a knowledge community. In addition to our market-based projects, we run specialized development projects to achieve our long-term goals. The highlighted area of our research work is the design of space habitats and ground support buildings for the space industry.
HeatScape Resolve
HeatScape Resolve project is developed jointly by Paulinyi&Partners cPlc. and Envirosense Hungary Ltd. to provide a solution using satellite earth observation imagery to map urban heat island effects aiming to improve the effectiveness of existing predictive simulations. It makes use of EO data as input parameters for microclimate simulations for large scale urban developments.
Minimizing the urban heat island effect offers a major opportunity to reduce carbon emissions from the construction industry. With the impact of climate change, cooling warming cities with current technology could produce up to 60 percent more carbon emissions than heating by 2050. Urban heat island intensity in Europe varies between 1-16°C, with higher intensity in the summer and in cities with warmer climates. In Budapest, for example, a heat island can increase temperatures by up to 6°C. This has a significant impact on the heating and cooling demand of buildings and it increases the consumption associated with cooling to a greater extent
Paulinyi & Partners looks to solve this problem with HeatScape Resolve, a service which will be based on data from the joint project with ESA. This solution will provide designers with a problem map, help in analysis of plans to mitigate urban heat island effects and aid in tracking results. The service will be complementary to the energy simulation models used to improve the energy efficiency of buildings and city districts and increase the value of investments.
The R&D activity is performed under a programme of, and funded by, the European Space Agency and is carried out under the ARTES BASS programme.
The view expressed in this publication can in no way be taken to reflect the official opinion of the European Space Agency.
