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A screening method for lowering customer acquisition cost in small commercial building energy efficiency projects
Energy Efficiency ( IF 3.1 ) Pub Date : 2020-09-04 , DOI: 10.1007/s12053-020-09899-9
Mahsa Safari , Somayeh Asadi

The retrofit of buildings to improve energy efficiency represents a vast opportunity in the construction market with the potential to reduce energy demand, create jobs, and achieve environmental benefits. Multiple challenges need to be overcome to unleash this potential and realize the benefits of investments in building energy retrofit projects. Small-/medium-sized commercial buildings are typically underserved by the energy retrofit industry due to the lack of owners’ ability to manage and finance energy efficiency improvements. In the case of energy-intensive and low-margin types of commercial buildings such as restaurants, the potential for energy savings is high, but the favorable conditions that enable retrofits, such as a pending renovation, propensity of clients to conserve energy, and willingness to take time for a retrofit, are scarce. In this research, the development of small energy efficiency projects is examined by proposing a screening method to find prospective candidates for financed energy efficiency projects in a targeted region. This method enables the co-creators of energy retrofit projects to predict the decision-making behavior of business owners and their willingness to invest in energy retrofit based on their restaurants’ attributes in social media. As part of a current initiative, supported by the Pennsylvania Department of Environmental Protection, a series of design, development, and delivery of retrofit projects in the context of food services was closely studied. The initial focus was on the Philadelphia region as a model for broader statewide applications. Restaurant owners were surveyed, and information was collected about their buildings’ energy systems, utility bills, and their willingness and/or capacity to invest in energy efficiency upgrades. A “Philadelphia restaurants” dataset was then scraped from the Yelp website. The data includes information about restaurant ratings, number of reviewers, price range, working hours, and ambiance. A methodology was developed to analyze the data and to find patterns and criteria that could possibly influence the owner’s decision for investing in energy performance improvement. To identify patterns, two methods were employed: (1) several focus groups over program period with team members who played roles in project development phase and (2) statistical analysis to identify the factors contributing to successful projects. Using these screening questions from focus groups and the results from statistical analysis, the retrofit likelihood can be estimated for each individual project. This methodology can be applied to larger datasets and would enable the investigators to screen the whole market and prioritize the targets for business recruitment.



中文翻译:

小型商业建筑节能项目中降低客户获取成本的筛选方法

对建筑物进行改造以提高能效在建筑市场中代表着巨大的机遇,具有减少能源需求,创造就业机会和实现环境效益的潜力。为了释放这种潜力并实现建筑节能改造项目投资的利益,需要克服多个挑战。由于业主缺乏管理和资助能效改进的能力,因此,中小型商业建筑通常无法满足能源改造行业的需求。对于高能耗和低利润率的商业建筑(例如餐厅),节能潜力很高,但是有利的条件可以进行改造,例如即将进行的翻新,客户节约能源的意愿以及意愿。花时间进行翻新,数量很少。在这项研究中,通过提出一种筛选方法来寻找小型节能项目的开发,以找到目标地区资助的节能项目的潜在候选人。这种方法使能源改造项目的共同创建者能够根据企业在社交媒体中的餐厅属性,预测企业所有者的决策行为以及他们投资于能源改造的意愿。作为当前计划的一部分,在宾夕法尼亚州环境保护局的支持下,对食品服务方面的一系列改造项目的设计,开发和交付进行了深入研究。最初的重点是费城地区,作为更广泛的全州应用程序的模型。对餐厅业主进行了调查,并收集了有关其建筑物能源系统的信息,水电费账单,以及它们对提高能效进行投资的意愿和/或能力。然后从Yelp网站上抓取了“费城餐馆”数据集。数据包括有关餐厅评级,评论者数量,价格范围,工作时间和氛围的信息。开发了一种方法来分析数据并找到可能影响所有者对能源绩效改善进行投资的决策的模式和标准。为了确定模式,采用了两种方法:(1)在计划期间与小组成员一起在项目开发阶段中扮演角色的几个焦点小组;(2)进行统计分析以识别促成成功项目的因素。利用焦点小组的这些筛选问题和统计分析的结果,可以为每个单独的项目估算改造可能性。这种方法可以应用于更大的数据集,并使研究人员能够筛选整个市场并确定企业招募目标的优先级。

更新日期:2020-09-05
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