当前位置: X-MOL 学术Renew. Sust. Energ. Rev. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Opportunities for greater energy efficiency in government facilities by aligning decision structures with advances in behavioral science
Renewable and Sustainable Energy Reviews ( IF 16.3 ) Pub Date : 2017-11-20 , DOI: 10.1016/j.rser.2017.10.078
Laura Delgado , Tripp Shealy

In 2007, Executive Order 13423 mandated 30% energy and emission reductions for all government facilities by 2015. Unfortunately, the government fell short of their goal by 9%. Their approach through mandates and federal legislation focused predominantly on new construction and major retrofits to existing facilities. To meet future energy and emission reduction goals, more emphasis on facility management is needed. The government manages over 370 million square feet of facilities each year. The daily decision process for government facility managers is full of competing interests, such as maintenance needs (preventative and corrective), limited operating budgets, time constraints to make decisions, and bounded rationality about energy consumption and savings. By understanding how these decisions are made and the cognitive bias that may occur, advances in facility management decision making can reduce energy consumption. Cognitive biases to the decision making process such as loss aversion, anchoring, and status quo bias are explored and an approach to overcome them is offered, a tactic called choice architecture, meaning restructuring decision environments to align with behavioral decision theory. Examples of choice architecture, such as, enabling procurement systems to query green products, changing default settings in mechanical systems, and requiring the use of pay back period calculators to account for cognitive limitations of the decision maker, are suggested and supported by behavioral science research to help direct facility managers towards energy efficient choices. This approach, through choice architecture, holds potential to yield relatively low-cost solutions (they do not require new mandates or laws) to support greater energy reduction in government facility management. This merging of literature from behavioral science to facility management is meant to open new avenues of interdisciplinary research.



中文翻译:

通过使决策结构与行为科学的发展保持一致来提高政府机构的能效

2007年,第13423号行政命令要求到2015年所有政府设施的能源和排放量减少30%。不幸的是,政府未能达到其目标9%。他们通过授权和联邦立法采取的方法主要集中在新建筑和对现有设施的重大改造上。为了实现未来的节能减排目标,需要更加重视设施管理。政府每年管理超过3.7亿平方英尺的设施。政府设施经理的日常决策过程充满了相互竞争的利益,例如维护需求(预防性和纠正性),有限的运营预算,做出决策的时间限制以及关于能源消耗和节约的有限理性。通过了解如何做出这些决定以及可能发生的认知偏见,设施管理决策方面的进步可以降低能耗。探索了决策过程中的认知偏差,如损失厌恶,锚定和现状偏差,并提供了一种克服这些偏差的方法,这种策略称为选择架构,即重构决策环境以与行为决策理论保持一致。行为科学研究提出并支持了选择架构的示例,例如,使采购系统能够查询绿色产品,更改机械系统中的默认设置以及要求使用投资回收期计算器来解决决策者的认知限制。帮助指导设施管理者进行节能选择。通过选择架构,这种方法 具有产生成本相对较低的解决方案的潜力(它们不需要新的命令或法律),以支持政府机构管理中更大程度的节能。文献从行为科学到设施管理的融合,旨在开辟跨学科研究的新途径。

更新日期:2017-12-14
down
wechat
bug