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Technology radars for energy-efficient data centers: A transdisciplinary approach to technology identification, analysis and evaluation


Abstract and Figures

Data centers are responsible for a constantly growing demand for energy and resources. Numerous studies show that there is still considerable potential for improving the energy and resource efficiency of data centers. Against this background, it is of great importance that existing efficiency technologies be applied to a greater extent and new technologies put into practice. One instrument to support this development is a technology radar for energy efficiency technologies in data centers. A technology radar is an instrument for monitoring technology that supports the identification, evaluation and observation of relevant technologies in specific areas. This paper describes how such technology radars are developed in a transdisciplinary process and presents current and future efficiency technologies for data centers.
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Technology radars for energy-efficient data centers
A transdisciplinary approach to technology identification, analysis and evaluation
Ralph Hintemann
Borderstep Institute for Innovation and Sustainability
Simon Hinterholzer
Borderstep Institute for Innovation and Sustainability
Abstract Data centers are responsible for a constantly growing
demand for energy and resources. Numerous studies show that
there is still considerable potential for improving the energy and
resource efficiency of data centers. Against this background, it is
of great importance that existing efficiency technologies be applied
to a greater extent and new technologies put into practice. One
instrument to support this development is a technology radar for
energy efficiency technologies in data centers. A technology radar
is an instrument for monitoring technology that supports the
identification, evaluation and observation of relevant technologies
in specific areas. This paper describes how such technology radars
are developed in a transdisciplinary process and presents current
and future efficiency technologies for data centers.
Keywords- data center, energy efficiency, technology radar,
transdisciplinary approach, energy, cooling, power supply, IT
The advancing digitalization of economy and society means
that in business, science and public authorities, but also in all
other areas of social life, ever larger amounts of data are being
transported, stored, managed and made available for various
services. Scientific studies on the worldwide energy
requirements of data centers assume a magnitude of between 300
and 400 billion kWh [1][4], some studies even expect it to rise
to some 1.000 billion kWh until 2025 [5]. This means that data
centers are responsible for about 1.5% of the world's electric
power consumption. The demand for computing and storage
capacity in data centers is predicted to increase significantly in
the future. Cisco expects global data center IP traffic to triple to
20.6 zettabytes per year between 2016 and 2021, with server
workloads increasing by a factor of 2.3 to 567 million installed
workloads over the same period. In connection with this
development, the global energy requirements of data centers will
continue to rise significantly in the future, despite existing
efficiency advances in IT and data center infrastructure [1], [4],
[6], [7].
To illustrate the increasing energy demands of data centers,
a current development is briefly presented. According to current
calculations, energy requirements due to bitcoin mining alone
are increasing very strongly [8], [9]. Forecasts assume that the
energy requirements of bitcoin mining could reach more than
eight gigawatts in the course of 2018 [10]. This is equivalent to
the average annual power demand for all of Austria or about one-
fifth of annual data center power consumption worldwide [11].
Against the background of the increasing energy demand of
data centers, it is of great importance that energy efficiency
technologies are used in data centers. This applies both to
existing technologies and to new approaches that are still in the
research stage. As numerous studies show (e.g., [4], [12][16],
up to 50% of the current energy requirements of data centers
could be saved if available efficiency technologies were used
across the board. However, new energy-efficient and
environmentally-friendly technologies often do not become
established as quickly as is desirable from an environmental
policy perspective [17], [18]. Data center operators, in particular,
often fear that a new technology may have a negative effect on
the availability of the data center.
This is where the technology radars for energy-efficient data
centers presented in this paper come in. In a transdisciplinary
process, current and future efficiency technologies for data
centers are identified, evaluated and communicated within the
data center expert community. The transdisciplinary approach is
particularly well suited to the sustainability-oriented problem
with its high degree of uncertainty and different values [19],
Section 2 explains the methods by which the technology
radars were created. In 2.1 the background of the investigation
is described, in 2.2 the transdisciplinary approach is considered
and in 2.3 the graphical structure of the technology radars is
A. Project background
The technology radars presented in this article were
developed within the research project "Total Energy
Management for Professional Data Centers" (TEMPRO), which
is funded by the German Federal Ministry of Economics and
Energy. The overriding goal of TEMPRO is holistic increase in
the energy and raw material efficiency of data centers in
Germany, taking into account the upstream and downstream
stages of the value chain. TEMPRO has two complementary
project priorities for achieving this goal:
On the one hand, a basis for evaluating the holistic energy
and raw material efficiency of data centers should be created,
and the necessary information about the energy and raw material
requirements of data centers should be compiled. TEMPRO
analyses and documents the entire life cycle of the infrastructure
elements (information technology, power supply, cooling and air
conditioning) using selected data centers as examples. On this
basis, suitable key figures and processes can be jointly
developed that enable the energy and raw material efficiency of
data centers to be holistically evaluated.
Secondly, new efficiency technologies in data centers, which
lead to considerable energy savings, should be examined, and
confidence in their reliability strengthened. To this end,
information on new technological approaches to improving the
holistic efficiency of energy and raw materials should be
gathered and communicated to the professional public. Selected,
promising energy efficiency technologies are prototypically
developed by the participating companies in cooperation with
research institutes.
B. The Bordersstep transdisciplinary approach to the
development of technology radars
As an independent and non-profit research institution,
Borderstep is active in the field of application-oriented
innovation and entrepreneurship research and is committed to
the guiding principle of sustainable development. The research
projects are characterized by their close relationship to real-
world practice. The majority of the projects are cooperative
projects with partners in the business world, as is the case with
TEMPRO. One focus of the work of the Borderstep Institute is
the identification, analysis and evaluation of new sustainable
technologies and the support of their implementation. For this
purpose, a transdisciplinary approach developed and applied at
the Institute is followed.
Transdisciplinarity is a methodological approach that
combines scientific and practical knowledge. The use of such
transdisciplinary approaches is driven by the need to solve
complex problems in the real world, taking into account the
diversity of scientific and social perspectives on these problems.
Since the end of the 20th century, more and more
transdisciplinary orientations have prevailed in science and the
knowledge society [19].
The transdisciplinary approach developed at the Borderstep
Institute involves experts from science and society in the
identification, analysis and evaluation of new sustainable
technologies in a stepwise process. Transdisciplinary research is
particularly suitable for problems where there is a high degree of
uncertainty and where different values come into play [21], [22].
Transdisciplinary research approaches are especially valuable in
sustainability issues [20], [23][25].
Transdisciplinary research primarily addresses three
different kinds of knowledge: systems knowledge, target
knowledge and transformation knowledge. System knowledge
refers to questions about the origin and possible development of
a problem field and about interpretations of problems in the real
world. Target knowledge includes knowledge about the
determination and explanation of practice-oriented targets, and
transformation knowledge refers to the development of
pragmatic means and possibilities for transforming existing
systems [26]. These three types of knowledge are also addressed
in the technology analysis of the Borderstep Institute. On the one
hand, new technologies are analyzed and described in a
combination of knowledge from research and practical
application (system knowledge). Secondly, the technologies are
evaluated with regard to sustainability goals (target knowledge).
Thirdly, the knowledge gained is transferred and the
technologies identified as promising (transformation
knowledge) are promoted in cooperation with business partners.
In this specific case, the transdisciplinary approach was
applied to support the development of technology radars for
energy-efficient data center technologies. A technology radar is
an instrument for technology monitoring, and supports the
identification, evaluation and observation of relevant
technologies [27]. The approach is based on the typical three
phases of a transdisciplinary project: the problem identification
and structuring phase, the problem research phase and the
implementation phase [26], [28].
A total of about 50 data center experts from science and
industry were involved in the process. These included
representatives from industry such as data center operators, data
center service providers (planners and consultants) and data
center suppliers (manufacturers of IT hardware and software,
air-conditioning technology, energy technology, measurement
and control technology). In addition, scientists from six different
disciplines (computer science, air conditioning, economics,
materials science, environmental technology and energy
management) were involved in the process.
Within the scope of problem identification, the topic area of
holistic energy and resource efficiency was first processed and
the fields of technology to be investigated were structured.
Based on analyses of the German data center structure, the
following technology areas were identified as essential for
energy requirements:
Cooling/air conditioning/ventilation
Electric power supply/generation
IT and IT management
In 2015, 59% of the energy requirements of data centers in
Germany were accounted for by IT, 25% by cooling/air
conditioning/ventilation and 14% by electric power supply [29],
[30]. This covers the essential areas in which energy is needed
in the data center. This distinction also takes into account that
competencies in data center operations and in the planning and
implementation of data centers are almost always differentiated
in terms of facility management and IT management. In the field
of facility management, it makes sense to distinguish between
cooling/air conditioning/ventilation and power
supply/generation, because the technologies and systems used
here are largely independent of one another. In the area of IT
hardware and IT management, a distinction could be made
between server, storage and network. However, because there
are more and more solutions, especially for future technologies,
in which the boundaries between these areas become blurred, a
subdivision was dispensed with.
Based on extensive technology research, an interdisciplinary
team of Borderstep scientists developed the first drafts for three
technology radars in the above technology fields within the
problem research phase. The sources used were trade journals
for data center technologies such as dcd, IT Business,
Technology Review and the following online portals: Data
Identify applicable sponsor/s here. (sponsors)
Center Knowledge, Network World from IDG, The Datacenter
Journal, Data Centre Dynamics, Data Center Week, DataCenter-
Insider by Vogel IT-Medien and LANline. Interviews were also
conducted with experts on individual technologies. In addition,
the winners of recent data center awards such as the DCD
Award, the Datacloud Award, the Datacenter Week Award and
the German Data Center Award were analyzed. The analyses
and technology forecasts of market analysts such as IDC and
Gartner, e.g. Gartner Hype Cycles, were also included in the
The technology radars developed in this way were presented
to experts from business and science at an internal TEMPRO
workshop in Berlin on October 11, 2017. A six-week
commentary phase followed, during which the technology
radars were further developed and supplemented. The interim
results were then presented to external experts at an innovation
workshop in Berlin on December 5, 2017. A total of 15 experts
took part in the workshop. These included representatives of
major international IT manufacturers, international
manufacturers of air-conditioning and power supply
infrastructure, data center consultants and representatives of
various scientific disciplines at universities. In the course of the
workshop, the innovation radars were slightly supplemented and
adapted once again. In addition, a joint prioritization of the
particularly important energy efficiency technologies was
carried out.
The implementation phase of the transdisciplinary project
has been under way since March 2018. First results and excerpts
from the technology radars were presented at a non-public
technical workshop at the Future Thinking conference (April
2018). In addition, the technology radars were presented and
discussed at a meeting of the working group "Computer Center"
of the German digital association Bitkom (June 2018). The
members of the working group confirmed the basic contents and
provided some additional information. The international
publication of the results in this paper is another important step.
The technology radars will be made available to large sections
of the expert public later, in a coordinated process with industry
partners through lectures, publications in journals, blog articles
and the like.
C. Basic structure of the Borderstep technology radars
Figure 1 shows the basic structure of a technology radar used
in TEMPRO. With the help of this instrument, energy efficiency
technologies can be presented clearly and communicated
effectively. The technology radar currently distinguishes
between solutions already in use in data centers (Technology A),
solutions for which there is already a niche market (Technology
B), solutions that are in the pilot stage of application
(Technology C) and solutions that are still in the research stage
(Technology D). The technologies are further differentiated
according to whether they are currently already intended for use
in data centers or whether they come from other areas of
application (Technology E or Technology F).
Figure 1. Basic structure of the Borderstep technology radars
The technology radars are presented in a very short form in
the following chapter. The chapter is divided into the three
technology fields cooling/air conditioning/ventilation, energy
supply and generation and IT and IT management. For each
technology radar, three technologies identified by experts as
relevant are briefly presented. Technology radar for cooling/air
conditioning/ventilation in data centers plus a short description
of three relevant technologies
A. Technology radar for cooling, air conditioning and
ventilation in data centers
Figure 2 shows the technology radar for energy efficient
cooling, air conditioning and ventilation technologies in data
Figure 2. Technology radar for cooling/air conditioning/ventilation
In the area of cooling, air conditioning and ventilation, 21
different energy efficiency technologies were identified and
analysed in detail. For each of the technologies mentioned in the
technology radars, a one-page fact sheet was prepared together
with the experts. The solutions range from established
technologies such as Direct Free Cooling to the research projects
like use of Phase Change Materials (PCM) for refrigeration in
data centers. Cooling solutions from other industries, which have
not yet been used in data centers, were also considered. These
are, for example, cold storage solutions with ice.
In the innovation workshop (December 2017), described in
section II.B, experts voted on the significance of the various
technologies. The top three technologies are highlighted in the
radar above and a short description of each can be found below.
Water cooling of entire servers: Water cooling of entire
servers is a server cooling method where all relevant
components of a server are thermally conduced to a water
drained system. To do this, an individually shaped metal body
connected to water pipes collects all the heat from the
components. As this concept uses only one inlet and one outlet,
the risk of leakage is minimized.
This system can improve energy efficiency by reducing the
mass flow of the coolant as a result of the higher heat capacity
of water (compared with air). In addition, water cooling
improves capacity for waste-heat-recovery enormously as it
binds the heat in a more compact way and allows higher
operational temperatures.
Waste heat recovery: The entire electric energy that supplies
all the data center equipment (e.g., IT, UPS, lighting) is
ultimately transformed into thermal energy. This low-
temperature heat can be recovered for secondary appliances
through the use of various technologies.
A direct method of heat recovery is the use of the heat to
supply the rooms of the data center with heat, for example to
regulate the temperature in offices during the winter. In addition,
some secondary appliances can be supplied with low
temperature heat; for example, greenhouses or swimming pools.
Indirect heat recovery can be carried out with a heat pump
system that supplies a thermal load at a higher temperature. If
the heat needs to be transported over some distance, it is
mandatory to transfer the heat to fluids with much higher heat
capacity than air -- for example water.
To improve effectiveness and temperature level, heat
recovery can be combined with direct fluid cooling of
components for example through immersion cooling or water
cooling of entire systems.
Data center without refrigeration: The operation of
refrigeration systems in data centers depends mainly on two
temperatures, the maximum permissible temperature of the heat
source (IT hardware, UPS) and the temperature of the heat sink.
As long the temperature of the heat sink is lower than the
maximum permissible inlet temperature for the cooling cycle
(plus a ΔT for a heat exchanger) the cooling can be provided
without refrigeration.
B. Technology radar for electric power supply/generation in
data centers
The second field targets new technologies and innovations
that improve the efficiency of the electric power supply in data
centers. Figure 3 shows the technology radar for energy supply
and generation.
A total of 14 different energy efficiency technologies were
identified in the area of power supply/generation. Solutions were
discussed and analyzed in detail that are already being used in
data centers today, but whose use should also be further
promoted, such as modular UPSs. But also solutions that are still
in the state of research, such as the e48V POL technology, in
which the power is supplied with 48V without its own server
power supply to the point of load (POL).
Figure 3. Technology radar for electric power supply/generation
The following technologies (marked yellow) were selected
by the experts in the innovation workshop (December 2017) as
the most significant innovations:
Flexibility for the smart grid: The components of a data
center, especially uninterruptible power supply and a diesel
generator can supply the electricity system with flexible power.
Depending on local technical and market regulations (e.g.,
government, grid operator, energy market) it can be possible and
profitable to use those facilities to provide flexibility in the
electric grid.
Direct current (DC) power supply: Almost every data center
is supplied with AC power from an electric grid. Depending on
the power architecture, this AC power from the grid is
transformed a small number of times through the UPS (AC to
DC to AC) as well as inside the servers to low voltage DC power
(e.g. 12 V, 5 V) to provide energy to the electronic components.
A central DC supply at the input and DC power distribution
reduces the electric conversion losses and makes the overall
electricity supply more efficient.
Software-defined power: New server technologies integrate
all components of local power conversion from servers and racks
into the data center management. This can help to optimize the
whole power supply and adapt it to the current workload. The
adaptation of voltage can also ensure more stable operation in
connection with aging IT equipment [31], [32].
C. Technology radar for IT and IT management in data
The third field of efficiency technologies in data centers
focuses on technologies within IT and IT-management itself. It
includes energy-efficient computing technologies as well as
management tools that improve the overall efficiency of IT
hardware in data centers. Figure 4 shows the technology radar
for this field.
Figure 4. Technology radar for IT and IT management
In the area of IT and IT management, a total of 21 different
technologies were identified and analyzed that are suitable for
further increasing the energy efficiency of data centers in the
future. The range of technologies extends from existing
solutions such as All Flash solutions to quantum computers.
The following technologies were identified as highly
significant for the energy efficiency of data centers in the
innovation workshop in December 2017:
Enterprise resource planning (ERP) for data centers: ERP
optimizes overall operations in a business such as a data center.
Modern implementations use software tool to monitor and adjust
operating processes. Through this constant optimization, a data
center can operate at maximum efficiency in both economic and
also ecological terms.
Analytics for energy efficiency: Modern data centers are
equipped with high numbers of sensors as well es meters that
constantly monitor processes relevant to energy consumption.
Raw data having varying structure is complex and hard to
interpret. Data analytics can improve the value of such sensor
data for making decisions leading to greater energy efficiency.
Neuromorphic computing: Neuromorphic computing is an
approach which involves imitating the function of the central
nervous system within complex circuits through a combination
of digital and analogue components. Most artificial intelligence
(AI) algorithms still only simulate neuronal networks, but these
functions can be directly integrated into silicon. This is called a
“neuromorphic chip.” These chips carry out specific tasks much
faster and with greater energy efficiency compared with
traditional chips, and are able to improve the overall efficiency
of ICT [33].
The transdisciplinary method has the potential to accelerate
the diffusion of technologies that improve the overall efficiency
of data centers. The graphical elements of technology radar help
to illustrate the stage of development for each individual
technology. In addition to the technology radars, a standardized
form for analyzing each technology is currently in development.
The form includes a short description of each technology, the
main use of the technology, facilitators and restraints, the
targeted type of data center, a forecast of market availability and,
of course, potential to improve efficiency.
To ensure an up-to-date overview of current trends in
technologies that enhance energy efficiency in data centers it is
necessary to have a comprehensive view which also involves
adjacent technological fields, and a constant feed of information
on new innovations. The technology radars as well as the
standardized forms for analysis will be updated on the basis of
another expert workshop in the summer of 2019.
This contribution is a result of the project TEMPRO - Total
Energy Management for professional data centers, which is
funded by the German Federal Ministry of Economics and
Energy. We would like to thank all project partners and
especially the project manager Alexandra Pehlken for the
constructive and excellent cooperation. We would also like to
thank the working group “data center” of the German digital
association Bitkom for their constructive criticism and further
input on the individual technology radars.
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... Further improvements to IT hardware, energyefficient software, and efficient software deployment models such as virtualization and container technology offer opportunities for optimization. Completely new technologies such as neuromorphic processors or the use of artificial intelligence to improve efficiency in data centers also offer high potential [18]. ...
... The example of Sweden in particular shows that it is possible to use the waste heat from data centers under appropriate conditions [52], [53]. In view of the increasing energy consumption of data centers, the topic of waste heat utilization will play a cen-tral role in the future [18]. Innovative new solutions must be implemented here. ...
... This means that intelligent use of fluctuating wind and solar power in data centers is becoming increasingly important. Here, too, there are promising technological approaches [18], [54], [55]. ...
Conference Paper
Full-text available
The increasing digitalization of the economy and society is leading to a dynamic increase in the amount of data that is processed and stored in data centers. Some scientific studies assume that this growth will also lead to a significant increase in the energy consumption of data centers worldwide. This article deals with the questions of whether and to what extent the energy consumption of data centers have increased in the past and what future developments can be expected. In addition, future challenges to sustainable data center operation will be analyzed. The article deals in particular with the topics of improving the energy efficiency of IT hardware and software, the use of regenerative electricity for the operation of data centers, and the use of waste heat from data centers.
... Third, required hardware capacities should be adapted according to the current demand [18], allowing software products to manage and control the hardware capacities they occupy, e.g., by setting parts of the network infrastructure into sleep mode at low utilization rates. In data centers, IT management software can foster minimal energy and resource demand by improving overall processes (Enterprise Resource Planning) and energy consumption (energy analytics) and by implementing the principle of neuromorphic computation [120]. ...
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ICT hold significant potential to increase resource and energy efficiencies and contribute to a circular economy. Yet unresolved is whether the aggregated net effect of ICT overall mitigates or aggravates environmental burdens. While the savings potentials have been explored, drivers that prevent these and possible counter measures have not been researched thoroughly. The concept digital sufficiency constitutes a basis to understand how ICT can become part of the essential environmental transformation. Digital sufficiency consists of four dimensions, each suggesting a set of strategies and policy proposals: (a) hardware sufficiency, which aims for fewer devices needing to be produced and their absolute energy demand being kept to the lowest level possible to perform the desired tasks; (b) software sufficiency, which covers ensuring that data traffic and hardware utilization during application are kept as low as possible; (c) user sufficiency, which strives for users applying digital devices frugally and using ICT in a way that promotes sustainable lifestyles; and (d) economic sufficiency, which aspires to digitalization supporting a transition to an economy characterized not by economic growth as the primary goal but by sufficient production and consumption within planetary boundaries. The policies for hardware and software sufficiency are relatively easily conceivable and executable. Policies for user and economic sufficiency are politically more difficult to implement and relate strongly to policies for environmental transformation in general. This article argues for comprehensive policies for digital sufficiency, which are indispensible if ICT are to play a beneficial role in overall environmental transformation.
... For data centres, however, the assessment in efficiency classes is still in its infancy. Factors such as waste heat utilisation, type of cooling technology or server utilisation are decisive when assessing the energy efficiency of data centres (Hintemann/Hinterholzer 2018), and initial methods for calculating the energy efficiency of data centres have been developed (Schödwell et al. 2018). ...
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High energy consumption and data traffic, critical production conditions and proprietary software ensure that the production and use of digital technologies and applications have so far been environmentally and socially problematic. We present basic approaches and policy measures for a sustainable design of hardware and software.
Technical Report
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Auch im Jahr 2018 ist der Strombedarf der Rechen-zentren in Deutschland wieder deutlich angestiegen. Im Vergleich zum Vorjahr erhöhte sich der Bedarf an elektrischer Energie durch Server und Rechenzentren um 6% auf 14 Mrd. kWh. Für dieses Wachstum ist vor allem der starke Ausbau von Cloud Computing Kapazitäten in Deutschland verantwortlich. Insbesondere im Großraum Frankfurt, aber auch an anderen Standorten in Deutschland, wurden erhebliche neue Rechenzentrumskapazitäten aufgebaut. Auch für die Zukunft ist damit zu rechnen, dass sich diese Entwicklung fortsetzt. Trends wie Edge Computing und Künstliche Intelligenz werden voraussichtlich zu einem deutlichen Ausbau der Rechenzentrumsinfrastrukturen in Deutschland, Europa und auch weltweit führen. Wenn es nicht gelingt, die vorhandenen Effizienzpotenziale zu realisieren, wird der Energiebedarf der Rechenzenren weiter deutlich ansteigen.
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The electricity that is expended in the process of mining Bitcoin has become a topic of heavy debate over the past few years. It is a process that makes Bitcoin extremely energy-hungry by design, as the currency requires a huge amount of hash calculations for its ultimate goal of processing financial transactions without intermediaries (peer-to-peer). The primary fuel for each of these calculations is electricity. The Bitcoin network can be estimated to consume at least 2.55 gigawatts of electricity currently, and potentially 7.67 gigawatts in the future, making it comparable with countries such as Ireland (3.1 gigawatts) and Austria (8.2 gigawatts). Economic models tell us that Bitcoin’s electricity consumption will gravitate toward the latter number. A look at Bitcoin miner production estimates suggests that this number could already be reached in 2018.
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This presentation outlines an estimation of the global electricity usage that can be ascribed to Communication Technology (CT) in the coming decade. The scope is two scenarios for use and production of consumer devices, communication networks and data centers. Two different scenarios— best and expected—are set up, which include annual numbers of sold devices, data traffic and electricity intensities/efficiencies. For the first time AR and VR devices will be included in a CT power trend analysis. I will emphasize the potential development of total Global Data Center IP Traffic and data center electric power consumption. The effect of 5G adaption rate on the total CT power consumption will also be addressed. The likely share of CT of the total global electric power consumption will be discussed in the light of CTs potential to reduce consumption.
Technical Report
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Rechenzentren sind wie Stromversorgung und Verkehrswege heute eine notwendige Infrastruktur für Wirtschaft, Verwaltung und Forschung. Zwischen 2003 und 2013 ist die IT-Fläche in deutschen Rechenzentren um 42 % auf ca. 1,8 Millionen m2 gewachsen. Von Rechenzentren sind gegenwärtig ca. 200.000 Vollzeit-Arbeitsplätze abhängig. Davon werden rund 120.000 Beschäftigte für den reinen Betrieb der Rechenzentren eingesetzt. Weitere 80.000 Personen sind direkt von Rechenzentren abhängig. Sie arbeiten in Systemhäusern, Baufirmen und spezialisierten Dienstleistern sowie im Handwerk ausschließlich für Rechenzentren. Jährlich werden ca. 8 Mrd. € in Rechenzentren investiert.
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There is a growing consensus about the urgent necessity to green the economy and to decouple economic growth from environmental pressure. Against this background, the article explores three questions: (1) What are key factors influencing diffusion dynamics of sustainable product and service innovations? (2) To what extent do diffusion processes of sustainable product and service innovations differ from each other, and can different groups of diffusion processes be identified? (3) Which factors, actors, and institutional settings are characteristic of different groups of diffusion processes? While diffusion research on sustainable innovation so far has been limited to case studies with just one or a small number of cases or has been focused on individual sectors, the empirical data presented here cover a large number of cases from a broad variety of product fields. This allows for generalizations as well as relevant insights and conclusions for sustainability, environmental and innovation policies. The empirical investigation of 100 sustainable product and service innovations revealed that diffusion processes of sustainable innovations differ substantially: The cluster analysis showed that five groups of sustainable innovations can be differentiated which differ significantly in terms of the factors influencing the diffusion process. The empirical results thus both support the assumption that different types of diffusion paths do in fact exist and also permit characterization of the various types of diffusion paths. The evolutionary concept of diffusion paths develops significant explanatory power on the basis of which faster or slower cases of diffusion and the success or failure of sustainable innovations can be better understood.
Technical Report
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This report estimates historical data center electricity consumption back to 2000, relying on previous studies and historical shipment data, and forecasts consumption out to 2020 based on new trends and the most recent data available. In 2014, data centers in the U.S. consumed an estimated 70 billion kWh, representing about 1.8% of total U.S. electricity consumption. This report shows that data center electricity consumption increased by about 4% from 2010-2014, a large shift from the 24% percent increase estimated from 2005-2010 and the nearly 90% increase estimated from 2000-2005. Energy use is expected to continue slightly increasing in the near future, increasing 4% from 2014-2020, the same rate as the past five years. Based on current trend estimates, U.S. data centers are projected to consume approximately 73 billion kWh in 2020. A combination of efficiency trends has resulted in a relatively steady U.S data center electricity demand over the past 5 years, with little growth expected for the remainder of this decade. Along with the energy efficiency resource already achieved, there are additional energy efficiency strategies and technologies that could significantly reduce data center electricity use below the approximately 73 billion kWh demand projected in 2020. Many of these efficiency strategies are already successfully employed in some data centers while others are emerging technologies that will be commercially available in the near future. The potential impact from an adoption of additional energy efficiency strategies is explored, which estimate an annual saving in 2020 up to 33 billion kWh, representing a 45% reduction in electricity demand when compared to current efficiency trends. Full text is available at:
Das neue Forschungsprogramm des Potsdamer Institute for Advanced Sustainability Studies widmet sich der Integration von Transformationsforschung und transformativer Forschung .
Conference Paper
The advancing digitization of all areas of the economy and society is generating significantly increasing demand for processing power. More and more data centers of ever larger size are being built worldwide, and their electricity consumption is constantly on the rise. Forecasts project a significant increase in the global electricity consumption of data centers in the next five years. The presentation discusses the development of data centers' energy consumption and energy efficiency, using the example of Germany. A recent study by Borderstep and Fraunhofer IZM for the Federal Ministry for Economic Affairs and Energy shows that the electricity consumption of data centers in Germany grew by 15% to 12 billion kilowatt hours from 2010 to 2015. This was the case in spite of considerable efficiency gains in IT hardware and data center infrastructure. If the current trends in IT usage continue, German data centers' energy consumption will increase further and exceed 14 billion kWh in 2020. Reasons for this growth are in particular the increasing number of internet-enabled end-user devices and networked sensors. In addition, more and more processing is being shifted from end-user devices to data centers.
Conference Paper
Cloud computing is an efficient way to provide IT capacity. From an ecological perspective, the use of cloud computing is usually assumed to entail lower consumption of energy and materials. However, it is difficult to assess whether this assumption is true. Cloud computing means shifting processing power from workplace computer solutions or the company server to the Internet. Yet it is comparatively difficult to determine resource consumption in the cloud. Previous studies have arrived at different results concerning the ecological benefits of cloud computing depending on the type of application. New cloud applications also cause additional resource consumption. Even today, cloud applications account for more than half of data centers' workloads. This share is expected to increase to more than four-fifths by the end of the decade. It is therefore doubtful whether IT energy and resource consumption can be reduced in the future. The present contribution considers this question and presents current research findings on the energy consumption of data centers, networks and end-user devices in Germany today and through 2025. It projects the findings from Germany to the global development and discusses the ecological effects of shifting processing power to networks and data centers through cloud computing.
Few will still doubt that our modern technological culture has reached a turning point, and that it must change drastically if we are to manage our environmental problems. It may not yet be as widely appreciated that science, hitherto the mainspring of that technological progress, must also change. From now on its central task must be concerned with the patholo-gies of our industrial System; and this imposes new problems and requires new methods. These are the subject our of study.