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Strategic retrofit investment from the portfolio to the building scale: a framework for identification and evaluation of potential retrofits

机译:投资组合的战略改造投资到建筑规模:识别和评估潜在改造的框架

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Buildings account for approximately 40% of the total energy consumption and associated GHG emissions globally. Within this sector, approximately 80% of buildings in North America are more than 15 years old and in the intervening years, energy codes have been revised to require 25% less energy than buildings meeting 2000 codes. As a result, even sustainably-rated buildings over 10 years old tend to compare poorly with new buildings built to minimum code standards. Significant investment is required to bring the performance of these buildings in line with market expectations and competition for newer, more sustainable buildings. In large portfolios, the challenge is not only to identify the optimal building retrofits, but also which buildings have the most improvement potential. This paper presents a three step approach to overcome this challenge. First, the building portfolio is screened from the often limited available data and potential energy improvement potential and commercial improvement potential are ranked to identify priority buildings. Second, a series of retrofit bundles is tested on the priority buildings to calculate estimated energy savings, required capital and resultant op erating costs and qualitative indicators affecting occupant comfort to prepare a financial analysis. These estimates are refined using an energy model for the most promising retrofit bundle. Finally, portfolio- wide strategies are developed for the non-priority buildings to take advantage of 'low hanging fruit'. Four global case studies using this framework are presented, two at the portfolio scale and two at the building scale. In each case, the evaluation tools and techniques, modeling approaches and data used in this decision-making are described and resulting project recommendations are presented. Although developed primarily for commercial buildings, this approach is applicable to all buildingtypes and recommendations are offed for its adaptation across sectors.
机译:建筑物占全球能源总量和相关温室气体排放量的约40%。在这一部门,北美大约80%的建筑物超过15岁,在中期历史上,已经修改了能源代码,以便比建筑物2000个代码更低的能量减少25%。因此,甚至可持续的建筑甚至超过10岁的建筑往往与最低守则标准建造的新建筑物相比不好。需要大量投资来符合市场预期和较新的可持续建筑物的市场预期和竞争。在大型投资组合中,挑战不仅可以识别最佳建筑改造,而且还有哪种建筑物具有最大的潜力。本文介绍了三步克服这一挑战。首先,从经常有限的可用数据筛选建筑物组合,并且潜在的能量提升潜力和商业改善潜力排名为识别优先建筑物。其次,在优先建筑物上测试了一系列改造束,以计算估计的节能,所需的资金和结果运作,影响乘员舒适性的定性指标来准备财务分析。这些估计是使用最有前途改造束的能量模型来改进。最后,为非优先建筑开发了投资组合策略,以利用“低悬果”。使用此框架的四项全球案例研究呈现,两个在产品组合规模和建筑尺度上的两个。在每种情况下,描述了该决策中使用的评估工具和技术,建模方法和数据,并提出了项目建议。虽然主要用于商业建筑,但这种方法适用于所有建筑物和建议,以跨部门的适应来冒险。

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