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• The optimization of 10 important design parameters of a GCPV plant is introduced. • The IRR objective function includes both technical and economic aspects. • Genetic algorithm is suitable and effective to find the global optimum. • Optimal configurations are presented for six locations worldwide. • The effects of decreasing PV module costs on optimal plant design are analysed. The increasing penetration of photovoltaic (PV) technology calls for the development of an effective method for optimization of grid-connected photovoltaic power plants. This paper presents a simultaneous optimization method of ten important design parameters of a PV plant, including the module power, inverter sizing, support structure dimensions, cable losses, module orientation and row spacing. A mathematical PV performance model taking into account the important effects and losses and an economic cost model were developed and presented in detail. The objective function is the internal rate of return and the optimization is performed by a genetic algorithm. The results show that the proposed models and method are capable to optimize the grid-connected PV plant and provide reliable results after a 6–7 min calculation time. The method was demonstrated in detail for a Hungarian location, including the losses and cost structure of the optimal plant configuration. The optimization was also performed for 5 additional sites around the world to assess the effect of location and meteorology. The impact of the decreasing PV module prices on the optimal design is calculated to identify the expected future trends in PV plant design. The presented optimization method can be utilized to facilitate the optimal design of commercial PV plants and for research purposes. [ABSTRACT FROM AUTHOR]

• Environmental footprint methodology is applied to a utility-scale solar energy plant. • A case study of a grid-connected 20 MWp photovoltaic system in Hungary is presented. • Impacts on climate, human health, ecosystem and natural resources is assessed. • The environmental footprint of electricity is reduced by 75% compared to the grid mix. • A simplified life-cycle model linked to plant design parameters is validated. Balance-of-system components represent a growing share of environmental impacts in photovoltaic utility-scale solar energy systems. There are, however, no effective methods to carry out screening type life-cycle assessment during the planning phase of the power plant to minimize these impacts. This paper uses the European Commission's novel product environmental footprint methodology to explore the life-cycle impacts of a case study in Hungary and applies two life-cycle models with different system boundaries and assumptions. The first model represents a full-fledged assessment with a detailed inventory, while the other, simplified model can be directly linked to the main plant design parameters. Our results show that: a) the production of photovoltaic modules account for around half of the total aggregated environmental impacts, b) compared to the Hungarian grid mix, the new power plant reduces the environmental footprint by 75%. It is also shown that the simplified model captures the overwhelming majority of impacts, thus, it is applicable during the eco-design of similar systems. [ABSTRACT FROM AUTHOR]