New energy technologies driven by the global energy transition development path construction

In the context of global energy transition, the rapid development of new energy technologies provides important support for the construction of a low-carbon and sustainable energy system. However, the planning, evaluation and optimization of new energy systems are faced with the complexity of multi-objective decision-making, and efficient decision support tools are required. In this paper, we discuss the application of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm in the field of new energy in the context of energy transition and new energy technology. Firstly, the current situation and challenges of energy transition, the development trend of new energy and its role in the energy system are analyzed. Secondly, the basic principle of TOPSIS algorithm and its advantages in multi-objective decision-making are introduced, and an evaluation and optimization framework based on TOPSIS algorithm is proposed based on the characteristics of new energy system. This paper demonstrates the application effect of TOPSIS algorithm in the site selection, technical route selection, and comprehensive evaluation of energy system of new energy projects, and verifies its effectiveness in dealing with multi-dimensional and multi-index decision-making problems. Finally, the future research directions of TOPSIS algorithm in energy transition are prospected, including the integration with other intelligent algorithms, the expansion of dynamic decision-making scenarios, and the collaborative optimization of policies and technologies. This paper provides scientific methodological support for decision-makers in the field of new energy and helps to promote the efficient promotion of energy transition.