Urban Public Art as the Renewable Energy Hub: Integrating Aesthetics and Functional Design to Create Sustainable Cities
Abstract
To address the conflict between aesthetic expression and functional efficiency faced by renewable energy facilities in urban spaces, this study proposes a public art installation design framework that integrates interdisciplinary technologies. A multi-source data fusion module integrates geographic context and regional cultural symbols to jointly guide the parametric optimization of device morphology and the layout of energy harvesting components. Complementing this, an improved MPPT (Maximum Power Point Tracking) algorithm—enhanced by a Kalman filter-based dynamic allocation strategy—ensures robust power extraction under the complex irradiance fluctuations induced by the artistic form. Meanwhile, a parametric aesthetic generation algorithm based on genetic algorithm morphological optimization and CycleGAN (Cycle-Consistent Generative Adversarial Network) texture fusion is developed to achieve the dual goals of urban public art as a renewable energy hub. Structural strength verification and interactive experience design ensure safety and public engagement, respectively. Experimental results demonstrate that the proposed scheme achieves a power generation efficiency of 93.4% of the theoretical value under sunny conditions, with a high public satisfaction rate of 85%. A measured annual internal rate of return of 10.6% verifies its environmental and economic benefits. This research provides an innovative paradigm for the synergy between aesthetics and functionality for sustainable urban development.
Fields of Study & Subjects
Public Spaces through Art
Art
Technology
and Culture
Photovoltaic System Optimization Techniques
Publication details
- Journal / source
- Annals of Emerging Technologies in Computing
- Volume
- 10
- Issue
- 1
- Pages
- 1–1
- Publication date
- 1 January 2026