Application of Digital Built Environment Model in Structure’s Energy Efficiency Modelling (Energija 3D)

Project no.: PP54/208

Project description:

The energy efficiency of buildings is one of the biggest problems in Lithuanian energy and construction industries because the largest part of existing buildings is not energy efficient. To improve energy efficiency buildings are renovated. Installation possibilities of renewable energy sources (RES) are often considered during the preparation of renovation. The application of solar energy technology is rapidly developing, but the efficiency of the usage can be limited by orientation and geometry and the effect of contiguity – nearby structures and vegetation. The technology, capable of quickly and conveniently evaluating the structural parameters of the specific building and the influence of nearby objects on technological solutions for energy supply, could be a useful tool for renovation project designers; it could be applied in the evaluation of habitable territories during the preparation of municipalities specific plans for energy supply. During this project, the accurate 3D model of a specific area with known dimensions, orientation, and coordinates of the objects in the model, will be reconstructed by photogrammetry from a large number of photo fixations (photographs with positioning data). Because the 3D model recreates the natural environment it allows for simulating sunlight during different times of the day in every season.

Project funding:

KTU Research and Innovation Fund


Project results:

A method has been prepared and tested for the case of a real built environment object, which allows for an accurate assessment of specific characteristics of the building (its structure, orientation of facades) and its surroundings (shadows)
for the evaluation of electricity production by solar panels.

Period of project implementation: 2020-04-06 - 2020-12-31

Project partners: Lithuanian Energy Institute

Head:
Darius Pupeikis

Duration:
2020 - 2020

Department:
Centre for Smart Cities and Infrastructure (CSCI), Faculty of Civil Engineering and Architecture