English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Amidst the climate crisis, the massive introduction of renewable energysources has brought tremendous challenges to both the power grid and itssurrounding markets. As datacenters have become ever-larger and more powerful,they play an increasingly significant role in the energy arena. With theirunique characteristics, datacenters have been proved to be well-suited forregulating the power grid yet currently provide little, if any, such activeresponse. This problem is due to issues such as unsuitability of the marketdesign, high complexity of the currently proposed solutions, as well as thepotential risks thereof. This work aims to provide individual datacenters withinsights on the feasibility and profitability of directly participating in theenergy market. By modelling the power system of datacenters, and by conductingsimulations on real-world datacenter traces, we demonstrate the substantialfinancial incentive for individual datacenters to directly participate in boththe day-ahead and the balancing markets. In turn, we suggest a new short-term,direct scheme of market participation for individual datacenters in place ofthe current long-term, inactive participation. Furthermore, we develop a novelproactive DVFS scheduling algorithm that can both reduce energy consumption andsave energy costs during the market participation of datacenters. Also, indeveloping this scheduler, we propose an innovative combination of machinelearning methods and the DVFS technology that can provide the power grid withindirect demand response (DR). Our experimental results strongly support thatindividual datacenters can and should directly participate in the energy marketboth to save their energy costs and to curb their energy consumption, whilstproviding the power grid with indirect DR.

How Can Datacenters Join the Smart Grid to Address the Climate Crisis?  Using simulation to explore power and cost effects of direct participation in  the energy market