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Optimal selection of energy efficiency measures for energy sustainability of existing buildings

机译:为现有建筑物的能源可持续性选择最佳的节能措施

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This study is motivated by the need to increase energy efficiency in existing buildings. Around 33% of the energy used in the world is consumed in the buildings. Identifying and investing in the right energy saving technologies within a given budget helps the adoption of energy efficiency measures in existing buildings. We use a mathematical programming approach to select the right energy efficiency measures among all the available ones to optimize financial or environmental benefits subject to budgetary and other logical constraints in single- and multi-period settings. We also present a business model to offer energy efficiency measures as a service. By using a real case study of a university campus, all the relevant energy efficiency measures are identified and their effects are determined by using engineering measurements and modelling. Through numerical experiments using the case data, we investigate and quantify the effects of using environmental or financial savings as the main objective, the magnitude of benefit of using a multi-period planning approach instead of a single-period approach, and also feasibility of offering energy saving technologies as a service. We show that substantial environmental and financial savings can be obtained by using the proposed method to select and invest in technologies in a multi-period setting. We also show that offering energy efficient technologies as a service can be a win-win-win arrangement for a service provider, its client, and also for the environment. (c) 2015 Elsevier Ltd. All rights reserved.
机译:这项研究的动机是需要提高现有建筑物的能源效率。世界上大约33%的能源消耗在建筑物中。在给定的预算范围内确定和投资正确的节能技术有助于在现有建筑物中采用节能措施。我们使用数学编程方法在所有可用的方法中选择正确的能效措施,以在预算和其他逻辑约束下(单周期或多周期)优化财务或环境效益。我们还提出了一种提供节能措施即服务的业务模型。通过对大学校园的真实案例研究,可以识别所有相关的能效措施,并通过工程测量和建模来确定其效果。通过使用案例数据进行数值实验,我们调查并量化了以环境或财务节约为主要目标的效果,使用多周期计划方法而非单周期方法的收益的大小以及提供的可行性节能技术即服务。我们表明,通过使用建议的方法在多个时期内选择和投资技术,可以节省大量的环境和资金。我们还表明,提供高能效技术即服务可以为服务提供商,其客户以及环境带来双赢的安排。 (c)2015 Elsevier Ltd.保留所有权利。

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