Optimizing the total energy consumption and CO2 emissions by distributing computational workload among worldwide dispersed data centers

Frank T. Van Schie; Vojtěch Zavřel; J. Ignacio Torrens; T. F.W. Hundertmark; Jan L.M. Hensen

Optimizing the total energy consumption and CO₂ emissions by distributing computational workload among worldwide dispersed data centers

Frank T. Van Schie, Vojtěch Zavřel, J. Ignacio Torrens, T. F.W. Hundertmark, Jan L.M. Hensen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Major internet service providers have built and are currently building the world's largest data centres (DCs), which has already resulted in significant global energy consumption. Energy saving measures, from chip to building level, have been introduced gradually in recent decades. However, there is further potential for savings by assessing the performance of different DCs on a wider scale and evaluating information technology (IT) workload distribution strategies among these DCs. This paper proposes a methodology to optimize the electricity consumption and CO₂ emissions by distributing IT workload across multiple imaginary DCs. The DCs are modelled and controlled in a virtual test environment based on a building energy simulation (BES) tool (TRNSYS). A controller tool (Matlab) is used to support testing and tuning of the optimization algorithm. A case study, consisting of the distribution of IT workload across four different types of data centers in multiple locations with different climate conditions, is presented. The case study will illustrate.

Original language	English
Title of host publication	14th International Conference of IBPSA - Building Simulation 2015, BS 2015, Conference Proceedings
Editors	Jyotirmay Mathur, Vishal Garg
Publisher	International Building Performance Simulation Association (IBPSA)
Pages	1118-1125
Number of pages	8
ISBN (Print)	978-93-5230-118-8
Publication status	Published - 1 Dec 2015
Event	14th Conference of International Building Performance Simulation Association, BS 2015 - Hyderabad, India Duration: 7 Dec 2015 → 9 Dec 2015

Conference

Conference	14th Conference of International Building Performance Simulation Association, BS 2015
Country/Territory	India
City	Hyderabad
Period	7/12/15 → 9/12/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

Van Schie, F. T., Zavřel, V., Torrens, J. I., Hundertmark, T. F. W., & Hensen, J. L. M. (2015). Optimizing the total energy consumption and CO₂ emissions by distributing computational workload among worldwide dispersed data centers. In J. Mathur, & V. Garg (Eds.), 14th International Conference of IBPSA - Building Simulation 2015, BS 2015, Conference Proceedings (pp. 1118-1125). Article 2396 International Building Performance Simulation Association (IBPSA).

Van Schie, Frank T. ; Zavřel, Vojtěch ; Torrens, J. Ignacio et al. / Optimizing the total energy consumption and CO₂ emissions by distributing computational workload among worldwide dispersed data centers. 14th International Conference of IBPSA - Building Simulation 2015, BS 2015, Conference Proceedings. editor / Jyotirmay Mathur ; Vishal Garg. International Building Performance Simulation Association (IBPSA), 2015. pp. 1118-1125

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abstract = "Major internet service providers have built and are currently building the world's largest data centres (DCs), which has already resulted in significant global energy consumption. Energy saving measures, from chip to building level, have been introduced gradually in recent decades. However, there is further potential for savings by assessing the performance of different DCs on a wider scale and evaluating information technology (IT) workload distribution strategies among these DCs. This paper proposes a methodology to optimize the electricity consumption and CO2 emissions by distributing IT workload across multiple imaginary DCs. The DCs are modelled and controlled in a virtual test environment based on a building energy simulation (BES) tool (TRNSYS). A controller tool (Matlab) is used to support testing and tuning of the optimization algorithm. A case study, consisting of the distribution of IT workload across four different types of data centers in multiple locations with different climate conditions, is presented. The case study will illustrate.",

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Van Schie, FT, Zavřel, V, Torrens, JI, Hundertmark, TFW & Hensen, JLM 2015, Optimizing the total energy consumption and CO₂ emissions by distributing computational workload among worldwide dispersed data centers. in J Mathur & V Garg (eds), 14th International Conference of IBPSA - Building Simulation 2015, BS 2015, Conference Proceedings., 2396, International Building Performance Simulation Association (IBPSA), pp. 1118-1125, 14th Conference of International Building Performance Simulation Association, BS 2015, Hyderabad, India, 7/12/15.

Optimizing the total energy consumption and CO₂ emissions by distributing computational workload among worldwide dispersed data centers. / Van Schie, Frank T.; Zavřel, Vojtěch; Torrens, J. Ignacio et al.
14th International Conference of IBPSA - Building Simulation 2015, BS 2015, Conference Proceedings. ed. / Jyotirmay Mathur; Vishal Garg. International Building Performance Simulation Association (IBPSA), 2015. p. 1118-1125 2396.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Van Schie FT, Zavřel V, Torrens JI, Hundertmark TFW, Hensen JLM. Optimizing the total energy consumption and CO₂ emissions by distributing computational workload among worldwide dispersed data centers. In Mathur J, Garg V, editors, 14th International Conference of IBPSA - Building Simulation 2015, BS 2015, Conference Proceedings. International Building Performance Simulation Association (IBPSA). 2015. p. 1118-1125. 2396