Conference,

INTEGRATION OF DETAILED SPATIAL DATA IN THE CALCULATION AND GRAPHICAL PRESENTATION OF E AND B

, , , and .
(2013)

Abstract

In Slovenia, precautionary legislation regarding electromagnetic fields (EMF) in the natural and living environment was adopted in 1996. To assess the environmental siting acceptability for new and reconstructed electric power facilities it must be checked that the compulsory EMF limit values are not exceeded. The compulsory EMF limit values are usually converted into distances obtained by calculation modelling, the precision of which depends on its complexity and data availability. Due to the rapid development of information technology, it is possible to obtain more accurate spatial information in a digital format that can serve as input data for the calculation of E and B. This enables the improvement of the approach for calculating and visualising of EMF, since the calculation aims to achieve more accurate predictive assessment of E and B. Good visualisation of the field on appropriate spatial data layers is also important for the presentation of results. The following paper presents the calculation assessment and graphical presentation of electric and magnetic field for overhead electric power lines with the integration of detailed spatial data by using commercially available software. It is not very reasonable to carry out such a detailed analysis for the complete line. A detailed analysis is implemented only on micro locations. These micro location analyses are made for plots and buildings with higher non-ionising radiation protection level in the approximate corridor. The approximate corridor's width is determined on the basis of general calculations of EMF for the "worst case" scenario and it defines the area of potential excesses of the EMF limit values. The completion of the general calculations of EMF for "worst case" scenarios with calculations of EMF on micro locations, including all available spatial data, reduces the area of the potential excesses to a smaller area which is closer to the area of actual excesses. The purpose of involving more detailed spatial data is achieving greater calculation precision, faster automation of processes and lower possibility of errors generation during data entry and data processing, as well as a more plastic visualisation of fields on micro locations. The results of such a detailed visualisation can also be used for public presentations.

Tags

Users

  • @chkokalis
  • @ceps

Comments and Reviews