Abstract

The recent diffusion of RES (Renewable Energy Sources), considering the electric energy produced by photovoltaic and wind plants, brought to light the problem of the unpredictable nature of wind and solar energy. P2G (Power to Gas) implementation seems to be the right solution, transforming curtailed energy in hydrogen. The choice of the settlement of P2G plants is linked to many factors like the distances between the gas grid and the settlement of RES plants, the transportation networks, the energy production, and population distribution. In light of this, the implementation of a Multi-Criteria Analysis (MCA) into a Geographic Information System (GIS) processing represents a good strategy to achieve the goal in a specific territorial asset. In this work, this method has been applied to the case of study of Sicily (Italy). The paper shows in detail the geomatic semi-automated processing that allows to find the set of possible solutions and further to choose the best localization for new P2G plants, connected to a Relational Database Management System (RDBMS) and integrated with a WebGIS visualization for real-time analysis. This system is useful for the management, the development, and the study of hydrogen technologies, in order to link the electrical network and the gas network datasets with economical and infrastructural assets through GIS processing. In the future new factors will join in the process as policies on hydrogen take shape.

Highlights

  • The last few years have been characterized by the definition of strategic policies aimed at saving future generations and at solving global pollution

  • The implementation of a Multi-Criteria Analysis (MCA) into a Geographic Information System (GIS) processing represents a good strategy to achieve the goal in a specific territorial asset

  • The paper shows in detail the geomatic semi-automated processing that allows to find the set of possible solutions and further to choose the best localization for new P2G plants, connected to a Relational Database Management System (RDBMS) and integrated with a WebGIS visualization for real-time analysis

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Summary

Introduction

The last few years have been characterized by the definition of strategic policies aimed at saving future generations and at solving global pollution. The implementation of MCA analysis to define a proper optimization model is required, considering the necessary criteria that allow to choose the best localization of new power plant installations. This approach, which combines GIS-based models and MCA analysis, has been tested in recent years for wind power plant site selections [12], and to find the best localization of solid waste incineration power plants [13] and solar PV power plants [14]. The last paragraph shows the conclusions and the possible future research developments in this field

GIS-Based Processing for Localization of Power Plants
Semi-Automated GIS Processing
Final Results
Full Text
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