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Renewable electricity trading through SLAs

Georgios Methenitis, Michael Kaisers, Han La Poutré
2018 Energy Informatics  
However, if not traded the electricity might need to be curtailed, foregoing potential benefits for both supply and demand sides.  ...  We propose to adopt service level agreements (SLAs) that comprise quantity, reliability, and price, for electricity trading in settings where supply depends on volatile power sources.  ...  Availability of data and materials Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.  ... 
doi:10.1186/s42162-018-0062-y fatcat:yzgftkyvfnfyhmwowqlebuien4

Assisted Energy Management in Smart Microgrids [article]

Andrea Monacchi, Wilfried Elmenreich
2016 arXiv   pre-print
To solve this issue we investigate on the use of forward contracts, i.e., service level agreements priced to reflect the expectation of future supply and demand curves.  ...  However, the strictly competitive mechanism can result in service interruption in presence of competing demand.  ...  This work differentiates from previous studies, by addressing the stringent requirements and high volatility in power supply and demand typical of microgrids.  ... 
arXiv:1606.01949v1 fatcat:736z2w5blrbnrgfcdilxjiq55y

Novel Energy Saving Opportunities in Smart Grids Using a Secure Social Networking Layer

Florian Skopik, Christian Wagner
2012 2012 IEEE 36th Annual Computer Software and Applications Conference  
For instance, in case of rolling blackouts, the power supply of critical infrastructures such as hospitals or traffic lights, can be prioritized immediately over private households and the grid's structure  ...  Online platforms enable a plethora of novel application use cases, such as energy saving campaigns and competitions, utilization of friends' solar power, and coordination and sharing of energy consumption  ...  ACKNOWLEDGMENTS This work is considerably based on previous joint research with Daniel Schall and Harald Psaier.  ... 
doi:10.1109/compsac.2012.75 dblp:conf/compsac/SkopikW12 fatcat:w7tg2hepqjdf5jogfw3aemqkny

Take a Break: Cloud Scheduling Optimized for Real-Time Electricity Pricing

Draen Lucanin, Ivona Brandic
2013 2013 International Conference on Cloud and Green Computing  
Taking a more informed view of the electrical grid by analysing real-time electricity prices, we set the foundations of a grid-conscious cloud.  ...  Data centers constitute 1.1-1.5% of total electricity usage in the world.  ...  Acknowledgements -The work described in this paper was done through the HALEY project (Holistic Energy Efficient Management of Hybrid Clouds), funded by the Vienna University of Technology.  ... 
doi:10.1109/cgc.2013.25 dblp:conf/cgc/LucaninB13 fatcat:brjpmkpfdjb4pj2kdvyqqhfiai

Increasing Energy Efficiency by Reducing Losses and Promoting Value Propositions [chapter]

Rune Gustavsson, Leif Marcusson
2015 Energy Efficiency Improvements in Smart Grid Components  
Acknowledgements We gratefully acknowledge the cooperation in the eTransit project with our colleagues from the School of Business and Economics at Linneaus University in Sweden and Institute for Advanced  ...  Electricity demand also varies during the day in ways that the supply from wind and solar generation may not match, so even if renewable forms of energy have the same levelised cost as conventional ones  ...  Main references are Power Quality Indices in Liberalized markets [23] , A Conceptual View of Power Quality Regulation Using Market Driven Mechanism [25] and Quality of Electricity Supply as a Service  ... 
doi:10.5772/59343 fatcat:j5gxxanxdjhcdanlcak7c62noq

Market-Oriented Computing and Global Grids: An Introduction [chapter]

Rajkumar Buyya, Srikumar Venugopal
2009 Market-Oriented Grid and Utility Computing  
We would also like to thank Chee Shin Yeo for his comments on this chapter.  ...  ACKNOWLEDGMENTS This chapter is partially derived from the authors' past work, especially from the PhD thesis [1] of the first author.  ...  supply and demand of the available resources.  ... 
doi:10.1002/9780470455432.ch1 fatcat:a4kdbmvjdvfg7lextslnimpmde

Energy Efficient Cloud Control and Pricing in Geographically Distributed Data Centers [article]

Dražen Lučanin
2018 arXiv   pre-print
In this thesis, we propose a pervasive cloud control approach consisting of multiple methods for dynamic resource reallocation and hardware configuration adapted to volatile geotemporal inputs.  ...  We evaluate our methods empirically and in a number of simulations using historical traces of electricity prices, temperatures, workloads and other data.  ...  granted under the Vienna University of Technology research award; (2) several international meeting and training school grants by COST Action IC804 "Energy efficiency in large scale distributed systems  ... 
arXiv:1809.05853v1 fatcat:tcz67rvylfbbxblqamyb7otc4e

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

Robert Basmadjian, Juan Felipe Botero, Giovanni Giuliani, Xavier Hesselbach, Sonja Klingert, Hermann De Meer
2018 IEEE Transactions on Smart Grid  
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.  ...  Several presented use cases serve to validate the suitability of data centers for demand response schemes.  ...  , volatile power supply or through unexpected demand spikes from big energy consumers like a data centre.  ... 
doi:10.1109/tsg.2016.2632526 fatcat:p4ms2vtnurfmfocuwcq6gb3f6y

Stratus: Load Balancing the Cloud for Carbon Emissions Control

Joseph Doyle, Robert Shorten, Donal O'Mahony
2013 IEEE Transactions on Cloud Computing  
The cost of electricity will vary among the power plants and each will emit different amounts of carbon for a given amount of energy generated.  ...  It is desirable, for latency purposes, to route the traffic to the data centre that is closest in terms of geographical distance, costs the least to power and emits the smallest amount of carbon for a  ...  The demand for electricity changes over the course of a day and electricity suppliers turn power plants on and off to react to the changes in the demand.  ... 
doi:10.1109/tcc.2013.4 fatcat:rwmnpuuoq5buxkl4i7c53fakyq

Data Centers Optimized Integration with Multi-Energy Grids: Test Cases and Results in Operational Environment

Tudor Cioara, Marcel Antal, Claudia Daniela Antal (Pop), Ionut Anghel, Massimo Bertoncini, Diego Arnone, Marilena Lazzaro, Marzia Mammina, Terpsichori-Helen Velivassaki, Artemis Voulkidis, Yoann Ricordel, Nicolas Sainthérant (+2 others)
2020 Sustainability  
RES to increase the amount of energy flexibility by finding a trade-off between the flexibility level, IT load Quality of Service (QoS), and the RES production level.  ...  Innovative scenarios are defined for exploiting the DCs electrical, thermal, and workload flexibility as a commodity and Information and Communication Technologies (ICT) are proposed and used as enablers  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su12239893 fatcat:c3oo7znvknd2bj2gvc5msx7fq4

Unifying Futures and Spot Market: Overbooking-Enabled Resource Trading in Mobile Edge Networks [article]

Minghui Liwang, Ruitao Chen, Xianbin Wang, Xuemin Shen
2021 arXiv   pre-print
Securing necessary resources for edge computing processes via effective resource trading becomes a critical technique in supporting computation-intensive mobile applications.  ...  of dynamic resources.  ...  Consequently, designing an energy-efficient trading mechanism is considered to be urgent and critical.  ... 
arXiv:2108.07226v1 fatcat:qc2owhpbarc63okrvwhbp7jpeu

Towards a Systematic Survey for Carbon Neutral Data Centers [article]

Zhiwei Cao, Xin Zhou, Han Hu, Zhi Wang, Yonggang Wen
2022 arXiv   pre-print
Data centers are carbon-intensive enterprises due to their massive energy consumption, and it is estimated that data center industry will account for 8\% of global carbon emissions by 2030.  ...  However, both technological and policy instruments for reducing or even neutralizing data center carbon emissions have not been thoroughly investigated.  ...  and volatile property of renewable energy.  ... 
arXiv:2110.09284v3 fatcat:gwlgrioigbedzauyeaopdlxngu

Modelling generator maintenance scheduling costs in deregulated power markets

Keshav Dahal, Khalid Al-Arfaj, Krishna Paudyal
2015 European Journal of Operational Research  
Generating companies use the maintenance cost function as the sole or main objective for creating the maintenance schedule of power generators.  ...  The loss of firm's reputation and selection of loyalty model are also considered using the Analytic Hierarchy Process (AHP) within an opportunity cost model.  ...  The power system is operated by an ISO to balance supply and demand of electricity in real-time.  ... 
doi:10.1016/j.ejor.2014.07.008 fatcat:lwrqpkzeqvdsxj4pwyxc6imvqa

Challenges And Practices Identification Via A Systematic Literature Review In The Adoption Of Green Cloud Computing: Client's Side Approach

Ashfaq Ahmad, Siffat Ullah Khan, Habib Ullah Khan, Ghulam Murtaza Khan, Muhammad Ilyas
2021 IEEE Access  
However, cloud providers face severe issues about sustaining the environment because big data centers are responsible for consuming a vast amount of energy and producing a carbon footprint.  ...  This research focuses on identifying the challenges faced by client organizations in adopting the green cloud and the associated practices for addressing the challenges.  ...  Demand volatility could result in a service level agreement (SLA) breach and build-up of elasticity debt [33] .  ... 
doi:10.1109/access.2021.3085707 fatcat:xzdpvonew5alffj6h4o3xaxf4m

Not All Doom and Gloom: How Energy-Intensive and Temporally Flexible Data Center Applications May Actually Promote Renewable Energy Sources

Gilbert Fridgen, Marc-Fabian Körner, Steffen Walters, Martin Weibelzahl
2021 Business & Information Systems Engineering  
Correspondingly, increasingly volatile and even negative electricity prices question the economic viability of RES-plants.  ...  To gain applicable knowledge, this paper evaluates the developed model by means of two use-cases with real-world data, namely AWS computing instances for training Machine Learning algorithms and Bitcoin  ...  Acknowledgements We gratefully acknowledge the Luxembourg National Research Fund (FNR) and PayPal for their support of the PEARL Project ''P17/IS/13342933/PayPal-FNR/Chair in DFS/Gilbert Fridgen'' that  ... 
doi:10.1007/s12599-021-00686-z fatcat:6snzln5ylrhhvk7efhw7w7yu6m
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