首页> 外文期刊>Energy >Implementing multi objective genetic algorithm for life cycle carbon footprint and life cycle cost minimisation: A building refurbishment case study
【24h】

Implementing multi objective genetic algorithm for life cycle carbon footprint and life cycle cost minimisation: A building refurbishment case study

机译:为生命周期碳足迹和生命周期成本最小化实现多目标遗传算法:建筑翻新案例研究

获取原文
获取原文并翻译 | 示例
           

摘要

Early design decisions made by architects have been shown to significantly impact the energy performance of buildings. However, designers often lack the resources or knowledge to take informed decisions that might improve building performance. The refurbishment of existing buildings is considered to significantly contribute to the reduction of the life cycle environmental impact of buildings. Building refurbishment is also seen as the most cost-effective way of achieving this goal. In assessing the life cycle impacts of constructing and usage processes of buildings, LCA (life cycle analysis) is often used.
机译:事实证明,建筑师做出的早期设计决策会显着影响建筑物的能源性能。但是,设计人员通常缺乏做出明智决策的资源或知识,这些决策可能会改善建筑性能。现有建筑物的翻新被认为有助于减少建筑物生命周期对环境的影响。建筑翻新也被认为是实现这一目标的最经济有效的方法。在评估建筑物的建造和使用过程的生命周期影响时,经常使用LCA(生命周期分析)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号