The future of modernist housing estates: the “Replace vs Refurbish” dilemma in the context of future urban densification
The future of modernist housing estates: the “Replace vs Refurbish” dilemma in the context of future urban densification
复制标题
现代主义住宅区的未来：未来城市致密化背景下的“替换与翻新”困境
DOI：
--
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
A. Tepavcevic
中科院分区：
文献类型：
--
作者：
A. Tepavcevic
本文的目的是介绍作者在论文主题中开展的部分研究，该主题涉及大型现代主义住宅区的未来。本论文的核心问题是调查当前的主导趋势（更换或翻新）会降低能源消耗，并在未来城市致密化的背景下提供更可持续的自然资源利用。所提出的工作流程结合了围绕上述困境构建的研究方法的第一步中包含的操作。它探讨了各种城市形式和致密化方案的太阳能收集潜力，在主要的“翻新”和“替换”方法中提出，包括保留和拆除位于德国法兰克福 Nordweststadt 住宅区的现有建筑群的选择。所有场景均根据最大密度率进行测试，确保现场可再生能源提供足够的运行能源，以实现零能耗建筑 (ZEB) 标准。本文的预期结果给出了两种方法所提出的致密化方案中哪种方案在给定边界条件下产生最高密度率的见解，并比较了相同密度水平下两种方法中最佳性能方案之间的能量平衡。
The aim of this paper is to present a part of the research developed inside the author’s dissertation topic which deals with the future of large modernist housing estates. The central question of the dissertation investigates which of the currently dominating tendencies - their replacement or refurbishment - result in lower energy consumption and provides more sustainable use of natural resources within the context of future urban densification. The presented workflow combines actions contained in the first step of the research methodology built around the abovementioned dilemma. It explores the solar energy harvesting potential of various urban forms and densification scenarios, proposed inside the main “refurbishment” and “replacement” approaches, including both retain and demolition options of the existing building stock located in the Nordweststadt housing estate in Frankfurt, Germany. All scenarios are tested against maximal density rate which secures enough operational energy from on-site renewable energy sources for the achievement of the zero energy building (ZEB) standard. The expected outcome of this paper gives an insight which of the proposed densification scenarios from both approaches generate the highest density rate in respect to the given boundary conditions, and compares the energy balance between the best performing scenarios in both approaches at the same density level.