Abstract
The distributed renewable energy system, integrating various renewable energy resources, is a significant energy supply technology within energy internet. It is an effective way to meet increasingly growing demand for energy conservation and environmental damage reduction in energy generation and energy utilization. In this paper, the life cycle assessment (LCA) method and fuzzy rough sets (FRS) theory are combined to build an environmental evaluation model for a distributed renewable energy system. The ReCiPe2016 method is selected to calculate the environmental effect scores of the distributed energy system, and the FRS is utilized to identify the crucial activities and exchanges during its life cycle from cradle to grave. The generalized evaluation method is applied to a real-world case study, a typical distributed energy system located in Yanqing District, Beijing, China, which is composed of wind power, small-scale hydropower, photovoltaic, centralized solar thermal power plant and a biogas power plant. The results show that the environmental effect of per kWh power derived from the distributed renewable energy system is 2.06 × 10−3 species disappeared per year, 9.88 × 10−3 disability-adjusted life years, and 1.75 × 10−3 USD loss on fossil resources extraction, and further in the uncertainty analysis, it is found that the environmental load can be reduced effectively and efficiently by improving life span and annual utilization hour of power generation technologies and technology upgrade for wind turbine and photovoltaic plants. The results show that the proposed evaluation method could fast evaluate the environmental effects of a distributed energy system while the uncertainty analysis with FRS successfully and effectively identifies the key element and link among its life span.
Highlights
As a dispensable resource, stable energy supply is essential for human survival and social development
An methodof ofdistributed distributedrenewable renewableenergy energy system is proposed in Anenvironmental environmental evaluation evaluation method system is proposed in this this paper based on the life cycle assessment method and fuzzy rough sets, in which the basic paper based on the life cycle assessment method and fuzzy rough sets, in which the basic environmental environmental impact assessment isthrough implemented through the method and resultisinterpretation impact assessment is implemented the LCA
In the presence of the framework of environmental impact evaluation method, power plant capacity, annual operation hours, upstream Technosphere performance were taken into account for case study in the uncertainty analysis and further resulted in interpretation with fuzzy rough sets
Summary
Stable energy supply is essential for human survival and social development. With continuous growth in industrial production and economic aggregates, energy consumption has sharply increased in China, which has imposed an extra pressure on the energy supply system and resulted in a new energy revolution [1,2,3]. The energy structure revolution of renewable energy sources coupled with traditional fossil fuels have been gradually turned into a new normal [7,8]. The construction of energy internet provides a significant solution to the current severe situation about energy supply and environmental protection. Distributed renewable energy system (DRES), which integrates various renewable energy power generation technologies, can optimize the allocation and utilization of energy, and have better environmental performance when compared to fossil energy production options, is a pretty foundation and solid support for energy internet [10]
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