<p>With the rapid development of digitalization, network security algorithms, as a key technology for maintaining the security of cyberspace, have become increasingly important. Traditional network security algorithms, such as symmetric and asymmetric encryption algorithms, are gradually revealing their vulnerabilities, and the demand for new types of network security algorithms is extremely urgent. With the acceleration of urbanization, the importance of street landscape design in enhancing the ecological functions of cities and improving the quality of life for residents is also increasing day by day. This study aims to explore new methods of integrating advanced network security algorithms with street VR landscape design, proposes an intelligent simulation system for street VR landscapes based on virtual reality, constructs the overall framework of the system and conducts detailed module division. This system optimizes the visual expression effect and user interaction experience through image transformation algorithms, calculates heat loss and analyzes the cycle performance of heat exchangers based on the solar thermal cycle mode and thermochemical energy storage model, in order to achieve precise energy consumption control and optimization design. The research results show that the network security algorithm proposed in this paper performs well in ensuring the security of data transmission and storage for street VR landscape design, effectively preventing design ideas from being stolen or tampered with. In the optimization design of energy consumption control, the overall energy efficiency of the system has been significantly enhanced through an intelligent simulation system, making urban street design not only more visually attractive but also more sustainable in terms of energy consumption. Intelligent design based on the recycling of thermal energy resources enhances the interactivity and immersion of street VR landscapes, providing new ideas and methods for urban energy consumption control.</p>