文献类型：期刊文献

英文题名：A Dynamic Carbon Pricing-Integrated Multi-Objective Optimization Framework for Pareto-Efficient Building Decarbonization

作者：Yue, Lyu[1,2,3]; Zhongqing, Chen[1,2,3]

机构：[1] School of Civil Engineering, Shaoxing University, Zhejiang Province, Shaoxing, 312000, China; [2] School of Architecture & Environment, Sichuan University, Sichuan, Sichuan Province, Chengdu, 610065, China; [3] Huahui Engineering Design Group Co., Ltd., Zhejiang, Zhejiang Province, Shaoxing, 312000, China

年份：2025

外文期刊名：SSRN

收录：EI(收录号：20250240133)

语种：英文

外文关键词：Architectural design - Budget control - Carbon - Carbon cycle - Carbon Economy - Construction industry - Cost benefit analysis - Economic analysis - Economic and social effects - Investments - Life cycle - Life cycle assessment - Multiobjective optimization - Pareto principle - Sensitivity analysis - Sustainable building - Sustainable development - Taxation

外文摘要：The building sector represents 39% of global CO2 emissions (28% operational, 11% embodied), necessitating urgent decarbonization to comply with the IPCC’s remaining carbon budget (380 ± 60 GtCO2 for 1.5°C pathways). This study introduces a novel multi-objective optimization (MOO) framework that synergistically integrates dynamic carbon pricing, lifecycle assessment (LCA), and global sensitivity analysis to resolve the critical sustainability-economic feasibility trade-off in building design. The framework advances the field through three methodological innovations: (1) time-variant carbon pricing calibrated to IPCC AR6’s social cost of carbon projections ($185 ± 24/tonne by 2030), (2) phase-differentiated tax allocation (construction: 52 ± 3%; operation: 41 ± 2%; demolition: 7 ± 1%; error ? 2025, The Authors. All rights reserved.