Integrating data centres into demand-response management: A local case study

Berl, Andreas; Klingert, Sonja; Beck, Michael Till; Meer, Hermann de

doi:10.1109/iecon.2013.6699905

Cited by 12 publications

(7 citation statements)

References 7 publications

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“…In this project the authors proposed a collaborative environment that, based on service level agreements, is able to foster the power adaptation (increase/decrease) between energy providers and consumers. The ALL4Green architecture divides the DR system into two subsystems: the first subsystem, Energy Provider-Data center, governed by Green Supply Demand Agreements (Green SDAs) [27], [28], meanwhile the second subsystem, Data center -ICT consumer, is based on agreements defined as Green Service Level Agreements (Green SLAs) [5].…”

Section: B Demand-response Approaches and Architecturesmentioning

confidence: 99%

NFV/SDN Enabled Architecture for Efficient Adaptive Management of Renewable and Non-Renewable Energy

Tipantuña

Hesselbach

2020

IEEE Open J. Commun. Soc.

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Ever-increasing energy consumption, the depletion of non-renewable resources, the climate impact associated with energy generation, and finite energy-production capacity are important concerns that drive the urgent creation of new solutions for energy management. In this regard, by leveraging the massive connectivity provided by emerging 5G communications, this paper proposes a long-term sustainable Demand-Response (DR) architecture for the efficient management of available energy consumption for Internet of Things (IoT) infrastructures. The proposal uses Network Functions Virtualization (NFV) and Software Defined Networking (SDN) technologies as enablers and promotes the primary use of energy from renewable sources. Associated with architecture, this paper presents a novel consumption model conditioned on availability and in which the consumers are part of the management process. To efficiently use the energy from renewable and non-renewable sources, several management strategies are herein proposed, such as prioritization of the energy supply and workload scheduling using time-shifting capabilities. The complexity of the proposal is analyzed in order to present an appropriate architectural framework. The energy management solution is modeled as an Integer Linear Programming (ILP) and, to verify the improvements in energy utilization, an algorithmic solution and its evaluation are presented. Finally, open research problems and application scenarios are discussed.

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Section: B Demand-response Approaches and Architecturesmentioning

confidence: 99%

NFV/SDN Enabled Architecture for Efficient Adaptive Management of Renewable and Non-Renewable Energy

Tipantuña

Hesselbach

2020

IEEE Open J. Commun. Soc.

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“…Also at that stage, the trial results were quite preliminary; in the current paper we present mature evaluation results. In [8] the presented approach is put into the context of a case study, using grid data of a German ES as well as the energy consumption and cost information of a small German DC. It could be shown that with only 6 small DCs all peaks in 2011 could have been avoided.…”

Section: Related Workmentioning

confidence: 99%

Making Data Centers Fit for Demand Response: Introducing GreenSDA and GreenSLA Contracts

Basmadjian

Botero

Giuliani

et al. 2018

IEEE Trans. Smart Grid

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Abstract-The power grid has become a critical infrastructure, which modern society cannot do without. It has always been a challenge to keep power supply and demand in balance; the more so with the recent rise of intermittent renewable energy sources. Demand response schemes are one of the counter measures, traditionally employed with large industrial plants. This paper suggests to consider data centres as candidates for demand response as they are large energy consumers and as they are able to adapt their power profile sufficiently well. To unlock this potential, we suggest a system of contracts that regulate collaboration and economic incentives between the data centre and its energy supplier (GreenSDA) as well as between the data centre and its customers (GreenSLA). Several presented use cases serve to validate the suitability of data centers for demand response schemes.

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“…This is one among several publications dealing with the carbon emissions or renewables in relation to DCs. In particular, the literature is rich with new algorithms for optimizing workload distribution among data centres [21][22][23][24][25][26][27][28][29] and server electricity demand optimization [30,31]. Some publications have also highlighted the role of geographic location or siting in carbon emissions and energy use optimization [32][33][34].…”

Section: Introductionmentioning

confidence: 99%

The Water Footprint of Data Centers

2015

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Abstract:The internet and associated Information and Communications Technologies (ICT) are diffusing at an astounding pace. As data centers (DCs) proliferate to accommodate this rising demand, their environmental impacts grow too. While the energy efficiency of DCs has been researched extensively, their water footprint (WF) has so far received little to no attention. This article conducts a preliminary WF accounting for cooling and energy consumption in DCs. The WF of DCs is estimated to be between 1047 and 151,061 m 3 /TJ. Outbound DC data traffic generates a WF of 1-205 liters per gigabyte (roughly equal to the WF of 1 kg of tomatos at the higher end). It is found that, typically, energy consumption constitues by far the greatest share of DC WF, but the level of uncertainty associated with the WF of different energy sources used by DCs makes a comprehensive assessment of DCs' water use efficiency very challenging. Much better understanding of DC WF is urgently needed if a meaningful evaluation of this rapidly spreading service technology is to be gleaned and response measures are to be put into effect.

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Integrating data centres into demand-response management: A local case study

Cited by 12 publications

References 7 publications

NFV/SDN Enabled Architecture for Efficient Adaptive Management of Renewable and Non-Renewable Energy

NFV/SDN Enabled Architecture for Efficient Adaptive Management of Renewable and Non-Renewable Energy

Making Data Centers Fit for Demand Response: Introducing GreenSDA and GreenSLA Contracts

The Water Footprint of Data Centers

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