Energy

A. Power Sector:
The use of GIS, information can be better organized on a computer system linking the database to map. A GIS as well can make the information easily updatable and accurate and hence can cater to the needs of maintaining large power infrastructure. GIS can effectively manage information on the distribution of electricity to customers and information describing the attributes of each customer such as location and electricity use. GIS in the field of electric power is used for the study and analysis for electrical distribution system, analysis and design, applications are also being developed for tackling problem of designing the electrical supply system for new residential development, for process automation in order to provide their customers with high quality attendance, to rebuild the design of work procedures in electric utilities. GIS and GPS are also integrated for mapping and analysis of electric distribution circuits.
  1. GIS Integration

Integrates the spatial data with various utility applications (customer information, assets management, outage management and billing System). The GIS must display now the particular network element and their attributes. The Customer Information

System provides information of the consumer and the network map leading to the source from which the consumer is supplied electricity. This information can be used for Energy Audit, Load Management, Network Planning and analysis.

  1. Optimizing Electrical Lines Routing

The transmission line routing is highly complex, and people are concerned about health issues due to the electric and magnetic fields, especially from high voltage transmission lines. GIS is used in transmission line routing as a technical tool. GIS can be used to analyze the selection of suitable areas for transmission lines, so that there is minimal environmental disruption.

  1. Load Forecasting

To perform spatial load forecasting techniques GIS technology provides an excellent platform which merge distribution system data with land-use and development data. Load forecasting is consisting of whole power, classified loads, load curve, and load distribution. To forecast the demand and the distribution of the load in power domain total power supply area should be divided into several sufficiently small areas based on the Geographic location which includes a number of demand points that indicate different customer loads.

  1. Disaster Management and Locating Fault

GIS enhance visualization of power systems by associating spatial data with transmission assets, such as animation, making them attractive platforms for displaying geographically referenced real time power system data such as the voltage and line loading monitoring. GIS information is stored in geographical map layers making it easy to relate transmission network conditions with other relevant information such as weather, vegetation growth, and road networks. Real-time weather data integrated in GIS increases the operator’s situational awareness.

B. Renewable Energy
Renewable Energy (RE) is becoming more and more important for the supply of the increasing global energy demand, especially in conjunction with decisions to abandon nuclear energy in some countries. GIS can support the process of RE integration in many ways, such as finding potential areas for solar, biomass, and wind power plants; estimating the RE potential at macro- and micro scales integrating physical modeling; and analyzing the technical, economic, and social impact of RE projects.
The aim of this special issue is to publish original research or review papers in order to stimulate further discussion on the spatial-temporal analysis of RE deployment and integration. It is my pleasure to encourage both theoretical and application-oriented papers on the matter with the support of the International Society for Photogrammetry and Remote Sensing, promoting an advanced forum for the science and technology of geographic information.

  • Evaluation of Renewable Energy Potential Using GIS Decision Support System.
  • Renewable Energy Modelling.
  • Computer Aided Analysis of the Integration of Renewable-Energy Systems in Remote Areas Using a Geographical-Information System.
  • Initial Grid Connection Assessment of Renewable Generation
  • Geographic Information Systems to Rural Electrification with Renewable Energy Sources.
  • GIS-Based Modeling System for Evaluating the Potential Costs and Supplies of Biomass for Biomass Crops