dc4cities: following the patterns of renewable power in a smart city
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Page 1SONJA KLINGERT – UNIVERSITY OF MANNHEIMDataCloud Europe 2015
DC4Cities: Following the Patterns of Renewable Power in
a Smart City
SONJA KL INGERT
D C 4 C I T I E S g r o u p
Follow us! @ D C 4 C I T I E S
Page 2SONJA KLINGERT – UNIVERSITY OF MANNHEIMDataCloud Europe 2015
General Approach
Data centres in the cityLack of locally produced renewable energy due to
space limitations. -> minimize energy consumption and adhere to constraints based on renewable energy supply
Page 4SONJA KLINGERT – UNIVERSITY OF MANNHEIM
Power Planner Component
Renewables(local source)
Pow
er
Scaled powerproportional to grid ren%
Final power plan, including Renewables
Pow
er
Pow
er
+
DataCloud Europe 2015
- =
Page 5SONJA KLINGERT – UNIVERSITY OF MANNHEIM
Energy Adaptation within a DC
Multi-level API for IaaS, PaaS and SaaS
DataCloud Europe 2015
Page 6SONJA KLINGERT – UNIVERSITY OF MANNHEIM
Results – HP and Trento
Batch jobs: Producing 4320 reports per dayPercentage of renewable energy in the Italian grid
varies between 29,21% and 49,18% (avg. 37,16)Data from HP experiment
Uniform workload distribution over 24 hours Workload concentrated at grid max RenPerc
37,16% 42,20%
DataCloud Europe 2015
Page 7SONJA KLINGERT – UNIVERSITY OF MANNHEIM
Results –HP and Trento (cont.)
When adding 8 local solar panels (max 250Wh) to the previous setting, the RenPercent rises to 79,41%
Local Solar Energy Production
DataCloud Europe 2015
Page 8SONJA KLINGERT – UNIVERSITY OF MANNHEIM
DC4Cities Business Issues
Benefit !> CostBenefit
Energy budget currently no incentives Marketing/CSR/CRM doubtful
Cost: mostly flexibility, e.g business model
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Page 9SONJA KLINGERT – UNIVERSITY OF MANNHEIM
Flexibility in a DC
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SLAGreenSLA
RenEnergy Contracts/Incentives
Technical flexibility, e.g apps., infrastr.
Customer flexibility: customization
Political framework and boundaries
Page 10SONJA KLINGERT – UNIVERSITY OF MANNHEIM
Starting Point: Smart Cities
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London 7.074Madrid 3.265Paris 2.212Barcelona 1.620Cologne 1.007Amsterdam 780Helsinki 589Frankfurt 680Copenhagen
542
Brussels 156Smart Cities’ Data Centres: 68 Smart Cities with 43
Mio peopleAdd: Weather/Climate Conditions
Page 12SONJA KLINGERT – UNIVERSITY OF MANNHEIM
Conclusions
Increasing share of renewables by following patterns of renewable supply is technically feasible, but highly dependent on power infrastructure and flexibilities of applications
Economic incentives increase scopeDC4Cities can be used to tune the most
efficient infrastructure for on-site generationTrials: results are best when variability of
renewables in the grid is high – because then there are more opportunities to adapt
Business Perspectives: South Europe SC, BCN?
DataCloud Europe 2015
Page 13
QUESTIONS?
Thank you!
K L I N G E R T @ I N F O R M AT I K . U N I -M A N N H E I M . D E
W W W. D C 4 C I T I E S . E U
D C 4 C I T I E S g r o u p
Follow us! @ D C 4 C I T I E S
Contact us!
Page 14SONJA KLINGERT – UNIVERSITY OF MANNHEIM
The DC4Cities Architecture
1. DC4cities process controller retrieves the next 24 hours energy forecasts for each EP of the DC through the ERDS handler
2. The Max/Ideal power plan is computed3. The power plan is split into different plans, one for each service hosted by the DC
4. Multiple splitting policies can be configured to better tailor the system to the DC business needs
5. The controller will request EASC to create specific power budgets for the next 24 hours for each service
6. The Option plan collector will receive a set of possible alternatives by each EASC
7. All Option plans will be consolidated and globally optimized to achieve the best usage of renewable energy source
8. If a good solution is found, the EASCs are informed which option plan to enact. Else, an escalation process is triggered [8x]
9. EASC will use automation tools to control the SW/HW resources of the service in line with the received plan (Working Mode).
10. Finally the controller will share the DC power plan with the energy provider, to enable some form of demand/response cooperation
DataCloud Europe 2015