## 5 Key Solutions
### Research Methodology  
1. In response to the current status and trends of ZCB research both domestically and internationally, a combined approach of literature analysis, questionnaire surveys, and expert interviews is employed. Given the absence of a unified definition for ZCB, the integration of questionnaire surveys and expert interviews aims to gain a profound understanding of the tropical climate characteristics and architectural functional needs on Hainan Island. Through this research, the specific requirements for TIZCB are identified. The main bottlenecks in the development of TIZCB are analyzed, highlighting challenges such as the lack of unified standard definitions, incomplete system integration, and suboptimal quantification methods. Simultaneously, a literature analysis systematically explores the current state of research in areas such as energy-efficient building systems, parametric design, and multi-objective optimization of design solutions, summarizing common issues to provide a directional foundation for the study of ZCB systems in tropical island regions. 2. Concerning the theoretical framework for the study of energy conservation, energy production, and intelligent systems in TIZCB, analytical methods from systems theory, control theory, and collaborative theory are introduced. At the current stage of ZCB development, there is no universally accepted technical system reference. Constructing a scientific theoretical framework for ZCB research is a prerequisite for studying the mechanisms and intelligent optimization of ZCB systems. For the technical system of TIZCB, systems theory divides the technical system into several subsystems, providing a foundation for building system integration. Collaborative theory analyzes the functional relationships within ZCB systems on tropical islands, supporting the coupling of building systems. Control theory investigates the quantifiable laws of ZCB systems on tropical islands, offering data for building system regulation. The approaches of systems theory, collaborative theory, and control theory provide a fresh perspective for the integration of ZCB systems on tropical islands. 3. Regarding the system modeling issues in the study of energy conservation, energy production, and intelligent systems in TIZCB, a parametric design method guided by building performance simulation is proposed. The key foundation for quantitative analysis of ZCB is the modeling of building systems. For the system modeling of TIZCB, the parametric design method allows designers to explore different design solutions by defining variable parameters, achieving carbon emissions \(\leq 0\) during the building operation process. In the quantification process of ZCB  
Figure 3: Research approach. systems, the parametric design method can precisely control and adjust various factors influencing building performance. Performance simulation can predict key indicators of building performance during the design phase, while parametric design solutions enable batch simulation, providing a data foundation for large-scale data analysis and exploration of impact patterns on building performance. Addressing the predictive issues in the study of energy conservation, energy production, and intelligent systems in TIZCB, a multi-output regression fusion algorithm based on machine learning is proposed. The core task of quantitative analysis of ZCB is system prediction, and investigating the relationship between system design parameters and building performance is a key link in the analysis of the quantitative mechanism of TIZCB. For the prediction of TIZCB systems, model fusion significantly enhances prediction accuracy. On one hand, based on a multi-output regression prediction model, multiple models with outstanding performance are selected through evaluation indicators to form an integrated model.