2019 CSCE Annual Conference - Laval (Greater Montreal) Conference
Ms. Roshanak Eftekharirad, Concordia University (Presenter)
One of the primary needs of humans and different industries is accessing to the adequate freshwater. Recently, due to the global population growth and the limitation in of freshwater resources, desalination of seawater has become increasingly important in order to provide water supplies.
In the desalination of seawater, one of the most significant factors is production cost of freshwater which is related to several parameters, such as input water quality, technology type, plant capacity, and energy consumption. The energy factor which is usually produced by fossil fuels can have a significant economic impact on the construction of desalination plants.
Recently, the energy consumption trend has been dramatically increased, especially in developing countries. For instance, Iran has the energy consumption that is higher than the global average. In fact, low-cost fossil fuels will be slowly but surely limited in the near future. Therefore, to preserve these valuable sources for future generations, to prevent environmental damages, and to provide the demanded energy, there is no approach to the use of clean and renewable energies, such as wind and solar energy.
Using solar energy can be the best approach to a power supply. For this purpose, finding the best location to build power plants is necessary because their locations have effects on the cost of production and transmission of energy. Makran Coastal Range has various problems related to providing the electricity demand and growing the population. However, Makran Coastal Range has a high potential to use the solar energy as a renewable energy. This study aims to find the best locations for constructing the desalination plants that use the solar energy based on two sets of parameters: (1) desalination plant construction parameters, and (2) solar power plant construction parameters.
In this paper, the initial information related to each province in Makran Coastal Range is determined by the Fuzzy Analytical Hierarchy Process (FAHP) and the Analytical Hierarchy Process (AHP) decision-making system. Then, the information, locations, and effective parameters to find the best locations for building the solar desalination plants are analyzed using ArcGIS 10.3 software. The results are mapped in the format of a position model. To validate the data and information for statistical studies of various areas, several decision-making methods are used and then the results are compared with each other.
Keywords: Solar Power, Desalination Plant, Location Positioning, Decision Making, Geographic Information System (GIS)