Power plants have provided the energy required for the economic and technologi-cal development over last decade. At the same time the environmental effects of electricity generation are significant as the modern economy uses large amounts of electrical power. So power plants’ activity can have positive and negative ef-fects on the population, which must be taken into account. In many cases various kinds of power generation systems - due to the release of air pollutants, radioac-tivity, water and soil contamination (oil spills) - can have a significant adverse impact on the environment, increasing health risks and reducing the standard of living of local communities. In this paper a methodology based on fuzzy-sets is proposed to assess the impact on a local scale of the sustainability of the most important electricity power production technologies.
A fuzzy inference system to evaluate the environmental effects of electricity generation technologies
CAVALLARO, Fausto
2015-01-01
Abstract
Power plants have provided the energy required for the economic and technologi-cal development over last decade. At the same time the environmental effects of electricity generation are significant as the modern economy uses large amounts of electrical power. So power plants’ activity can have positive and negative ef-fects on the population, which must be taken into account. In many cases various kinds of power generation systems - due to the release of air pollutants, radioac-tivity, water and soil contamination (oil spills) - can have a significant adverse impact on the environment, increasing health risks and reducing the standard of living of local communities. In this paper a methodology based on fuzzy-sets is proposed to assess the impact on a local scale of the sustainability of the most important electricity power production technologies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
