Benefit-cost model for comparing data center performance from a biomimicry perspective

Kubler, Sylvain; Rondeau, Éric; Georges, Jean‐Philippe; Mutua, Phoebe Lembi; Chinnici, Marta

doi:10.1016/j.jclepro.2019.05.183

Cited by 13 publications

(7 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Until recently, no quantification tools have been regarding quantifying biomimetic performance (Terrier, Glaus, & Raufflet, 2019). Recently, however, a few interesting developments have surfaced such as the built environment sector (Hayes, Desha, & Gibbs, 2019), data center performance (Kubler, Rondeau, Georges, & Mutua, 2019) and a more generic approach trying to incorporate the life principles of Benyus as the basis for the development of 'biomiMETRIC assistance tool, the objective of which is to provide a quantification approach to each principle and a measurement indicator to assess biomimetic performance' and thus as part of a conventional design process (Terrier et al, 2019, p. 16).…”

Section: Discussionmentioning

confidence: 99%

From innovation-as-usual towards unusual innovation: using nature as an inspiration

Ulhøi

2021

J Innov Entrep

View full text Add to dashboard Cite

Innovation-as-usual employs synthetic input as the key source of inspiration to bring about innovations, whereas unusual innovation is inspired by designs in nature. The use of nature as a key stimulus for innovation represents a fundamental shift in management and business studies. It involves the translation of natural designs into cross-domain and ad hoc synthetic designs. This paper examines and discusses the phenomenon of biomimetics and different examples of its application. Efficient translation of biomimetics involves the critical processes of exploration, explanation and exploitation. This paper discusses a practical case of biomimetic translation and identifies some critical and greatly understudied translational processes. The paper proposes techniques to correct existing translational imperfections and to establish theoretical bridging points to responsible management practices. Before concluding, research and managerial implications are briefly addressed.

show abstract

Section: Discussionmentioning

confidence: 99%

From innovation-as-usual towards unusual innovation: using nature as an inspiration

Ulhøi

2021

J Innov Entrep

View full text Add to dashboard Cite

show abstract

“…Water Cruz et al, 2016;Elia et al, 2017;Junnila, 2009;Kubler et al, 2019;Lang and Kennedy, 2016;De Laurentiis et al, 2018;Martinez et al, 2018;Mendoza et al, 2019a;Nunes et al, 2018;Pajula et al, 2017;Pauliuk, 2018;Pelton and Smith, 2015;Shrake et al, 2013Shrake et al, , 2011 Gasoline/diesel In line with similar studies by Coutinho et al (2018) or Falcone et al (2019), the main method to gather primary data were two participatory workshops. They were held in December 2019 and January 2020 with a 3-week break in between to allow time for reflection, analysis and preparation by the research team, since the outcomes from workshop 1 would influence the scope of workshop 2.…”

Section: Key Resourcesmentioning

confidence: 95%

Co‐development of a framework for circular economy assessment in organisations: Learnings from the public sector

Droege

Raggi

Ramos

2021

Corp Soc Responsibility Env

View full text Add to dashboard Cite

To seize the potential of Circular Economy (CE) organisations need to evaluate and communicate their progress moving away from the non‐sustainable paradigm of ‘take‐make‐dispose’ towards circularity. Existing CE assessments for organisations focus on companies. Although the need for CE assessment is recognised in both public and private sectors, little progress has been made towards developing an approach for public sector organisations. CE assessment in public sector organisations is particularly important due to their role model, agenda setting and economic function. Therefore, this article co‐develops a CE assessment framework for public sector organisations. Portuguese public sector organisations were involved as a participatory case study. The result is a framework that covers the following components: (i) a system definition; (ii) a definition of 35 CE assessment elements; (iii) CE assessment targets; and (iv) CE indicators. The framework contributes to the understanding of circularity from a public sector perspective considering three key aspects: resources, operations and processes as well as social and employee related activities. Implications for CE assessments in the public and private sector encompass the importance for an early involvement of stakeholders to get a sector specific perspective, the need to address user‐friendliness and the requirement for continuous testing of CE assessments.

show abstract

“…Employment of the metrics aims to reveal the underlying causes of thermal-related issues within a DC IT room and to assess the overall thermal conditions of the room. A recently proposed holistic DC assessment method is based on biomimicry [23]. This integrates data on energy consumption for powering and cooling ICT equipment.…”

Section: Background and Related Workmentioning

confidence: 99%

A Machine Learning Solution for Data Center Thermal Characteristics Analysis

et al. 2020

Self Cite

View full text Add to dashboard Cite

The energy efficiency of Data Center (DC) operations heavily relies on a DC ambient temperature as well as its IT and cooling systems performance. A reliable and efficient cooling system is necessary to produce a persistent flow of cold air to cool servers that are subjected to constantly increasing computational load due to the advent of smart cloud-based applications. Consequently, the increased demand for computing power will inadvertently increase server waste heat creation in data centers. To improve a DC thermal profile which could undeniably influence energy efficiency and reliability of IT equipment, it is imperative to explore the thermal characteristics analysis of an IT room. This work encompasses the employment of an unsupervised machine learning technique for uncovering weaknesses of a DC cooling system based on real DC monitoring thermal data. The findings of the analysis result in the identification of areas for thermal management and cooling improvement that further feeds into DC recommendations. With the aim to identify overheated zones in a DC IT room and corresponding servers, we applied analyzed thermal characteristics of the IT room. Experimental dataset includes measurements of ambient air temperature in the hot aisle of the IT room in ENEA Portici research center hosting the CRESCO6 computing cluster. We use machine learning clustering techniques to identify overheated locations and categorize computing nodes based on surrounding air temperature ranges abstracted from the data. This work employs the principles and approaches replicable for the analysis of thermal characteristics of any DC, thereby fostering transferability. This paper demonstrates how best practices and guidelines could be applied for thermal analysis and profiling of a commercial DC based on real thermal monitoring data.

show abstract

Benefit-cost model for comparing data center performance from a biomimicry perspective

Cited by 13 publications

References 57 publications

From innovation-as-usual towards unusual innovation: using nature as an inspiration

From innovation-as-usual towards unusual innovation: using nature as an inspiration

Co‐development of a framework for circular economy assessment in organisations: Learnings from the public sector

A Machine Learning Solution for Data Center Thermal Characteristics Analysis

Contact Info

Product

Resources

About