Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

40
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
40
Modeling and Similitude01:12

Modeling and Similitude

245
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
245
Levels of Use of a GIS01:29

Levels of Use of a GIS

44
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
44
Typical Model Studies01:30

Typical Model Studies

340
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
340

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

MicroRNA-126 functions as a tumor suppressor in colorectal cancer cells by targeting CXCR4 via the AKT and ERK1/2 signaling pathways.

International journal of oncology·2013
Same author

Position-sensitive spectral splitting with a plasmonic nanowire on silicon chip.

Scientific reports·2013
Same author

Preparation and pharmacokinetic study of aprepitant-sulfobutyl ether-β-cyclodextrin complex.

AAPS PharmSciTech·2013
Same author

Ghrelin but not nesfatin-1 affects certain forms of learning and memory in both rats and mice.

Brain research·2013
Same author

[Application of efficient synthetic techniques in drug research].

Yao xue xue bao = Acta pharmaceutica Sinica·2013
Same author

[Computational chemistry in structure-based drug design].

Yao xue xue bao = Acta pharmaceutica Sinica·2013

Related Experiment Video

Updated: Jun 7, 2025

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

12.1K

A comprehensive quantitative lifecycle cost and environmental impact analysis model for computing infrastructure.

Kezhuo Ma1, Yu Zhou2,3,1

  • 1Faculty of Engineering and Information Technology, the University of Melbourne, VIC 3010, Australia.

Methodsx
|November 11, 2024
PubMed
Summary

This study introduces a quantitative model to assess lifecycle costs and environmental impacts of computing infrastructure, like internet data centers (IDCs) and high-performance computing (HPC) facilities.

Keywords:
A quantitative model for cost and environmental impact of computing infrastructureComputing infrastructureEmission factor methodGreenhouse gas emissionLifecycle cost analysis

More Related Videos

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.0K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

487

Related Experiment Videos

Last Updated: Jun 7, 2025

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

12.1K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.0K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

487

Area of Science:

  • Environmental Science
  • Computer Engineering
  • Sustainable Development

Background:

  • Computing infrastructure, including internet data centers (IDCs) and high-performance computing (HPC) facilities, has significant lifecycle costs and environmental impacts.
  • Accurate assessment of these factors is crucial for sustainable decision-making in infrastructure development.
  • Existing models may not fully integrate interdisciplinary cost and carbon emission evaluations.

Purpose of the Study:

  • To develop a comprehensive quantitative model for assessing the lifecycle costs and environmental impacts of computing infrastructure.
  • To integrate interdisciplinary cost evaluation and carbon emission methods into a unified framework.
  • To provide a detailed understanding of cost structures and environmental footprints for sustainable development.

Main Methods:

  • Lifecycle Cost Analysis (LCCA) and Analogous Estimating Method for cost assessment across construction and operation phases.
  • Emission Factor Method for quantifying environmental impact, considering regional energy mix and power usage effectiveness (PUE).
  • Case study analysis focusing on internet data centers (IDCs).

Main Results:

  • The developed framework enables calculation of total costs, electricity expenses, and greenhouse gas emissions throughout the infrastructure lifecycle.
  • Clarified the intricate cost structure of IDCs, including equipment procurement, energy usage, land acquisition, and operational expenses.
  • Highlighted the importance of regional energy mix and PUE in environmental impact assessment.

Conclusions:

  • The quantitative model provides an in-depth understanding of the cost structure and environmental impact of computing infrastructure.
  • The framework supports sustainable decision-making in the development and operation of IDCs and HPC facilities.
  • Integration of cost and carbon emission assessments is key to advancing sustainable computing infrastructure.