绿色建筑项目全要素造价成本控制方法优化 -工程造价专业

摘要

随着全球可持续发展理念的深入，绿色建筑作为推动建筑业低碳转型的重要途径，其全要素造价成本控制方法成为研究热点。然而，传统造价管理方法在应对绿色建筑复杂性与动态性时存在局限性，难以满足全生命周期成本优化的需求。本研究旨在通过系统分析绿色建筑项目的成本构成及影响因素，提出一种基于多维度协同优化的全要素造价成本控制方法。研究采用理论建模与实证分析相结合的方式，首先构建了涵盖直接成本、间接成本、环境成本及社会成本的全要素成本框架，随后引入大数据分析与机器学习技术，开发了一种动态预测与优化模型，以实现对项目各阶段成本的精准管控。通过对多个实际案例的数据验证，结果表明该方法能够显著提升成本预测精度，并有效降低全生命周期总成本约10%-15%。此外，研究创新性地将环境与社会效益量化纳入成本控制体系，为决策者提供了更为全面的评估依据。最终结论显示，所提出的优化方法不仅增强了绿色建筑项目的经济可行性，还为行业标准制定提供了科学参考，从而推动了绿色建筑领域的可持续发展。

关键词：绿色建筑；全要素造价成本控制；多维度协同优化；动态预测与优化模型；环境与社会效益量化

ABSTRACT

With the deepening of the global sustainable development concept, green buildings, as an essential approach to promoting the low-carbon transformation of the construction industry, have drawn significant attention to their whole-element cost control methods. However, traditional cost management approaches exhibit limitations in addressing the complexity and dynamism of green building projects, failing to meet the requirements for optimizing lifecycle costs. This study aims to propose a whole-element cost control method based on multidimensional collaborative optimization by systematically analyzing the cost composition and influencing factors of green building projects. By integrating theoretical modeling with empirical analysis, a comprehensive cost fr amework was developed, encompassing direct costs, indirect costs, environmental costs, and social costs. Subsequently, big data analytics and machine learning technologies were incorporated to develop a dynamic prediction and optimization model, enabling precise cost control across all project phases. Data validation through multiple real-world case studies demonstrated that this method significantly improves cost prediction accuracy and effectively reduces the total lifecycle cost by approximately 10%-15%. Additionally, this research innovatively integrates the quantification of environmental and social benefits into the cost control system, providing decision-makers with a more comprehensive evaluation basis. The final conclusion indicates that the proposed optimization method not only enhances the economic feasibility of green building projects but also offers scientific references for industry standard formulation, thereby advancing the sustainable development of the green building sector.

Keywords: Green Building; Full-factor Cost Control; Multi-dimensional Collaborative Optimization; Dynamic Prediction and Optimization Model; Quantification of Environmental and Social Benefits