
1. Para cada novo datacenter, um em um campo de refugiados com receitas para cada morador nos moldes do Alaska Permanent Fund Corporation que pagou US$2000,00/year. Meta US$80.000,00 na região dos DC MNCWL
2. Japão & Vila da Panian, no Paquistão
2.1. STANDARDS & COMPLIANCE
2.1.1. FISC
2.1.2. HDS
2.1.3. HIPAA
2.1.4. ISO 9001
2.1.5. ISO 14001
2.1.6. ISO 22301
2.1.7. ISO 27001
2.1.8. ISO 45001
2.1.9. ISO 50001
2.1.10. NIST 800-53/FISMA
2.1.11. OSPAR
2.1.12. PCI DSS
2.1.13. SOC 1 Type II
2.1.14. SOC 2 Type II
2.1.15. SS 507
2.1.16. SS 564
2.1.17. TSI
2.1.18. TVRA
2.1.19. Uptime Institute
2.2. Project Finance
2.2.1. IFRS
2.2.2. US GAAP
2.2.3. ROI
2.2.3.1. 120 months
2.2.4. CAPEX
2.2.4.1. Start
2.2.4.1.1. 12 months
2.3. Grid
2.4. .
2.4.1. .
2.4.2. TIAC
2.4.2.1. Chiller Magnetic Bearing
2.4.2.1.1. .
2.4.3. OCR
2.4.3.1. .
2.4.4. 3 GW
2.4.4.1. .
2.4.4.1.1. .
2.4.4.1.2. TIER X
2.4.4.1.3. Chiller Magnetic Bearing
2.4.4.1.4. 300 MW
3. Coréia do Norte & Tamil Nadu, Índia
3.1. STANDARDS & COMPLIANCE
3.1.1. FISC
3.1.2. HDS
3.1.3. HIPAA
3.1.4. ISO 9001
3.1.5. ISO 14001
3.1.6. ISO 22301
3.1.7. ISO 27001
3.1.8. ISO 45001
3.1.9. ISO 50001
3.1.10. NIST 800-53/FISMA
3.1.11. OSPAR
3.1.12. PCI DSS
3.1.13. SOC 1 Type II
3.1.14. SOC 2 Type II
3.1.15. SS 507
3.1.16. SS 564
3.1.17. TSI
3.1.18. TVRA
3.1.19. Uptime Institute
3.2. Project Finance
3.2.1. IFRS
3.2.2. US GAAP
3.2.3. ROI
3.2.3.1. 120 months
3.2.4. CAPEX
3.2.4.1. Start
3.2.4.1.1. 12 months
3.3. Grid
3.4. .
3.4.1. .
3.4.2. TIAC
3.4.2.1. Chiller Magnetic Bearing
3.4.2.1.1. .
3.4.3. OCR
3.4.3.1. .
3.4.4. 3 GW
3.4.4.1. .
3.4.4.1.1. .
3.4.4.1.2. TIER X
3.4.4.1.3. Chiller Magnetic Bearing
3.4.4.1.4. 300 MW
4. supercenter gonzagão, são paulo, sp, brazil
4.1. STANDARDS & COMPLIANCE
4.1.1. FISC
4.1.2. HDS
4.1.3. HIPAA
4.1.4. ISO 9001
4.1.5. ISO 14001
4.1.6. ISO 22301
4.1.7. ISO 27001
4.1.8. ISO 45001
4.1.9. ISO 50001
4.1.10. NIST 800-53/FISMA
4.1.11. OSPAR
4.1.12. PCI DSS
4.1.13. SOC 1 Type II
4.1.14. SOC 2 Type II
4.1.15. SS 507
4.1.16. SS 564
4.1.17. TSI
4.1.18. TVRA
4.1.19. Uptime Institute
4.2. Project Finance
4.2.1. IFRS
4.2.2. US GAAP
4.2.3. ROI
4.2.3.1. 120 months
4.2.4. CAPEX
4.2.4.1. Start
4.2.4.1.1. 12 months
4.3. Status of Small Modular Reactor Development and Deployment in the World
4.3.1. Estudo de Caso
4.3.1.1. WILMINGTON, Carolina do Norte — 21 de outubro de 2019 — A GE Hitachi Nuclear Energy (GEH) e a Synthos SA concordaram em colaborar em possíveis aplicações de implantação para o pequeno reator modular BWRX-300 da GEH na Polônia.
4.4. .
4.5. General Fusion - AL_A
4.5.1. .
4.5.1.1. 2 x 300 MW
4.5.1.2. .
4.5.1.3. DATACENTER
4.5.1.3.1. 200 MW
4.5.1.3.2. TIER X
4.5.1.3.3. .
4.5.2. .
4.5.2.1. .
4.5.2.1.1. .
4.6. Grid
5. Angra III
5.1. STANDARDS & COMPLIANCE
5.1.1. FISC
5.1.2. HDS
5.1.3. HIPAA
5.1.4. ISO 9001
5.1.5. ISO 14001
5.1.6. ISO 22301
5.1.7. ISO 27001
5.1.8. ISO 45001
5.1.9. ISO 50001
5.1.10. NIST 800-53/FISMA
5.1.11. OSPAR
5.1.12. PCI DSS
5.1.13. SOC 1 Type II
5.1.14. SOC 2 Type II
5.1.15. SS 507
5.1.16. SS 564
5.1.17. TSI
5.1.18. TVRA
5.1.19. Uptime Institute
5.2. Project Finance
5.2.1. IFRS
5.2.2. US GAAP
5.2.3. ROI
5.2.3.1. 120 months
5.2.4. CAPEX
5.2.4.1. Start
5.2.4.1.1. 12 months
5.3. Grid
5.4. .
5.4.1. .
5.4.1.1. .
5.4.1.1.1. 1,5 GW
5.4.1.1.2. DATACENTER
5.4.1.1.3. COOLING RECOVERY
5.4.1.1.4. HEAT RECOVERY
6. Russia & Za’atri, Jordânia
6.1. STANDARDS & COMPLIANCE
6.1.1. FISC
6.1.2. HDS
6.1.3. HIPAA
6.1.4. ISO 9001
6.1.5. ISO 14001
6.1.6. ISO 22301
6.1.7. ISO 27001
6.1.8. ISO 45001
6.1.9. ISO 50001
6.1.10. NIST 800-53/FISMA
6.1.11. OSPAR
6.1.12. PCI DSS
6.1.13. SOC 1 Type II
6.1.14. SOC 2 Type II
6.1.15. SS 507
6.1.16. SS 564
6.1.17. TSI
6.1.18. TVRA
6.1.19. Uptime Institute
6.2. Project Finance
6.2.1. IFRS
6.2.2. US GAAP
6.2.3. ROI
6.2.3.1. 120 months
6.2.4. CAPEX
6.2.4.1. Start
6.2.4.1.1. 12 months
6.3. Grid
6.4. .
6.4.1. 3 GW
6.4.2. .
6.4.2.1. .
6.4.2.1.1. .
7. United Arab Emirates & Kakuma, Quênia
7.1. STANDARDS & COMPLIANCE
7.1.1. FISC
7.1.2. HDS
7.1.3. HIPAA
7.1.4. ISO 9001
7.1.5. ISO 14001
7.1.6. ISO 22301
7.1.7. ISO 27001
7.1.8. ISO 45001
7.1.9. ISO 50001
7.1.10. NIST 800-53/FISMA
7.1.11. OSPAR
7.1.12. PCI DSS
7.1.13. SOC 1 Type II
7.1.14. SOC 2 Type II
7.1.15. SS 507
7.1.16. SS 564
7.1.17. TSI
7.1.18. TVRA
7.1.19. Uptime Institute
7.2. Project Finance
7.2.1. IFRS
7.2.2. US GAAP
7.2.3. ROI
7.2.3.1. 120 months
7.2.4. CAPEX
7.2.4.1. Start
7.2.4.1.1. 12 months
7.3. Grid
7.4. .
7.4.1. TIAC
7.4.1.1. Chiller Magnetic Bearing
7.4.1.1.1. .
7.4.2. .
7.4.3. OCR
7.4.3.1. .
7.4.4. 3 GW
7.4.4.1. .
7.4.4.1.1. .
7.4.4.1.2. TIER X
7.4.4.1.3. Chiller Magnetic Bearing
7.4.4.1.4. 300 MW
8. Brazil: Bahia & Sahrawi, Argélia
8.1. STANDARDS & COMPLIANCE
8.1.1. FISC
8.1.2. HDS
8.1.3. HIPAA
8.1.4. ISO 9001
8.1.5. ISO 14001
8.1.6. ISO 22301
8.1.7. ISO 27001
8.1.8. ISO 45001
8.1.9. ISO 50001
8.1.10. NIST 800-53/FISMA
8.1.11. OSPAR
8.1.12. PCI DSS
8.1.13. SOC 1 Type II
8.1.14. SOC 2 Type II
8.1.15. SS 507
8.1.16. SS 564
8.1.17. TSI
8.1.18. TVRA
8.1.19. Uptime Institute
8.2. Project Finance
8.2.1. IFRS
8.2.2. US GAAP
8.2.3. ROI
8.2.3.1. 120 months
8.2.4. CAPEX
8.2.4.1. Start
8.2.4.1.1. 12 months
8.3. Grid
8.4. .
8.4.1. .
8.4.2. TIAC
8.4.2.1. Chiller Magnetic Bearing
8.4.2.1.1. .
8.4.3. OCR
8.4.3.1. .
8.4.4. 3 GW
8.4.4.1. .
8.4.4.1.1. .
8.4.4.1.2. TIER X
8.4.4.1.3. Chiller Magnetic Bearing
8.4.4.1.4. 300 MW
9. Norway & Marielle Tower Cultural Center
9.1. STANDARDS & COMPLIANCE
9.1.1. FISC
9.1.2. HDS
9.1.3. HIPAA
9.1.4. ISO 9001
9.1.5. ISO 14001
9.1.6. ISO 22301
9.1.7. ISO 27001
9.1.8. ISO 45001
9.1.9. ISO 50001
9.1.10. NIST 800-53/FISMA
9.1.11. OSPAR
9.1.12. PCI DSS
9.1.13. SOC 1 Type II
9.1.14. SOC 2 Type II
9.1.15. SS 507
9.1.16. SS 564
9.1.17. TSI
9.1.18. TVRA
9.1.19. Uptime Institute
9.2. Project Finance
9.2.1. IFRS
9.2.2. US GAAP
9.2.3. ROI
9.2.3.1. 120 months
9.2.4. CAPEX
9.2.4.1. Start
9.2.4.1.1. 12 months
9.3. Grid
9.4. .
9.4.1. .
9.4.2. TIAC
9.4.2.1. Chiller Magnetic Bearing
9.4.2.1.1. .
9.4.3. OCR
9.4.3.1. .
9.4.4. 3 GW
9.4.4.1. .
9.4.4.1.1. .
9.4.4.1.2. TIER X
9.4.4.1.3. Chiller Magnetic Bearing
9.4.4.1.4. 300 MW
10. China & Tamil Nadu, Índia
10.1. STANDARDS & COMPLIANCE
10.1.1. FISC
10.1.2. HDS
10.1.3. HIPAA
10.1.4. ISO 9001
10.1.5. ISO 14001
10.1.6. ISO 22301
10.1.7. ISO 27001
10.1.8. ISO 45001
10.1.9. ISO 50001
10.1.10. NIST 800-53/FISMA
10.1.11. OSPAR
10.1.12. PCI DSS
10.1.13. SOC 1 Type II
10.1.14. SOC 2 Type II
10.1.15. SS 507
10.1.16. SS 564
10.1.17. TSI
10.1.18. TVRA
10.1.19. Uptime Institute
10.2. Project Finance
10.2.1. IFRS
10.2.2. US GAAP
10.2.3. ROI
10.2.3.1. 120 months
10.2.4. CAPEX
10.2.4.1. Start
10.2.4.1.1. 12 months
10.3. Grid
10.4. .
10.4.1. .
10.4.2. TIAC
10.4.2.1. Chiller Magnetic Bearing
10.4.2.1.1. .
10.4.3. OCR
10.4.3.1. .
10.4.4. 3 GW
10.4.4.1. .
10.4.4.1.1. .
10.4.4.1.2. TIER X
10.4.4.1.3. Chiller Magnetic Bearing
10.4.4.1.4. 300 MW
11. Argentina & Nakivale, Uganda
11.1. STANDARDS & COMPLIANCE
11.1.1. FISC
11.1.2. HDS
11.1.3. HIPAA
11.1.4. ISO 9001
11.1.5. ISO 14001
11.1.6. ISO 22301
11.1.7. ISO 27001
11.1.8. ISO 45001
11.1.9. ISO 50001
11.1.10. NIST 800-53/FISMA
11.1.11. OSPAR
11.1.12. PCI DSS
11.1.13. SOC 1 Type II
11.1.14. SOC 2 Type II
11.1.15. SS 507
11.1.16. SS 564
11.1.17. TSI
11.1.18. TVRA
11.1.19. Uptime Institute
11.2. Project Finance
11.2.1. IFRS
11.2.2. US GAAP
11.2.3. ROI
11.2.3.1. 120 months
11.2.4. CAPEX
11.2.4.1. Start
11.2.4.1.1. 12 months
11.3. Grid
11.4. .
11.4.1. .
11.4.2. TIAC
11.4.2.1. Chiller Magnetic Bearing
11.4.2.1.1. .
11.4.3. OCR
11.4.3.1. .
11.4.4. 3 GW
11.4.4.1. .
11.4.4.1.1. .
11.4.4.1.2. TIER X
11.4.4.1.3. Chiller Magnetic Bearing
11.4.4.1.4. 300 MW
12. QTar & Jabalia, Faixa de Gaza (Palestina)
12.1. STANDARDS & COMPLIANCE
12.1.1. FISC
12.1.2. HDS
12.1.3. HIPAA
12.1.4. ISO 9001
12.1.5. ISO 14001
12.1.6. ISO 22301
12.1.7. ISO 27001
12.1.8. ISO 45001
12.1.9. ISO 50001
12.1.10. NIST 800-53/FISMA
12.1.11. OSPAR
12.1.12. PCI DSS
12.1.13. SOC 1 Type II
12.1.14. SOC 2 Type II
12.1.15. SS 507
12.1.16. SS 564
12.1.17. TSI
12.1.18. TVRA
12.1.19. Uptime Institute
12.2. Project Finance
12.2.1. IFRS
12.2.2. US GAAP
12.2.3. ROI
12.2.3.1. 120 months
12.2.4. CAPEX
12.2.4.1. Start
12.2.4.1.1. 12 months
12.3. Grid
12.4. .
12.4.1. TIAC
12.4.1.1. Chiller Magnetic Bearing
12.4.1.1.1. .
12.4.2. .
12.4.3. OCR
12.4.3.1. .
12.4.4. 3 GW
12.4.4.1. .
12.4.4.1.1. .
12.4.4.1.2. TIER X
12.4.4.1.3. Chiller Magnetic Bearing
12.4.4.1.4. 300 MW
13. Brazil:Parque Térmico Pedreira & Jabalia, Faixa de Gaza (Palestina)
13.1. STANDARDS & COMPLIANCE
13.1.1. FISC
13.1.2. HDS
13.1.3. HIPAA
13.1.4. ISO 9001
13.1.5. ISO 14001
13.1.6. ISO 22301
13.1.7. ISO 27001
13.1.8. ISO 45001
13.1.9. ISO 50001
13.1.10. NIST 800-53/FISMA
13.1.11. OSPAR
13.1.12. PCI DSS
13.1.13. SOC 1 Type II
13.1.14. SOC 2 Type II
13.1.15. SS 507
13.1.16. SS 564
13.1.17. TSI
13.1.18. TVRA
13.1.19. Uptime Institute
13.2. Project Finance
13.2.1. IFRS
13.2.2. US GAAP
13.2.3. ROI
13.2.3.1. 120 months
13.2.4. CAPEX
13.2.4.1. Start
13.2.4.1.1. 12 months
13.3. Grid
13.4. .
13.4.1. .
13.4.2. TIAC
13.4.2.1. Chiller Magnetic Bearing
13.4.2.1.1. .
13.4.3. OCR
13.4.3.1. .
13.4.4. 3 GW
13.4.4.1. .
13.4.4.1.1. .
13.4.4.1.2. TIER X
13.4.4.1.3. Chiller Magnetic Bearing
13.4.4.1.4. 300 MW
14. USA : Oklahoma & Mbera, Mauritânia
14.1. STANDARDS & COMPLIANCE
14.1.1. FISC
14.1.2. HDS
14.1.3. HIPAA
14.1.4. ISO 9001
14.1.5. ISO 14001
14.1.6. ISO 22301
14.1.7. ISO 27001
14.1.8. ISO 45001
14.1.9. ISO 50001
14.1.10. NIST 800-53/FISMA
14.1.11. OSPAR
14.1.12. PCI DSS
14.1.13. SOC 1 Type II
14.1.14. SOC 2 Type II
14.1.15. SS 507
14.1.16. SS 564
14.1.17. TSI
14.1.18. TVRA
14.1.19. Uptime Institute
14.2. Project Finance
14.2.1. IFRS
14.2.2. US GAAP
14.2.3. ROI
14.2.3.1. 120 months
14.2.4. CAPEX
14.2.4.1. Start
14.2.4.1.1. 12 months
14.3. Grid
14.4. .
14.4.1. .
14.4.2. TIAC
14.4.2.1. Chiller Magnetic Bearing
14.4.2.1.1. .
14.4.3. OCR
14.4.3.1. .
14.4.4. 3 GW
14.4.4.1. .
14.4.4.1.1. .
14.4.4.1.2. TIER X
14.4.4.1.3. Chiller Magnetic Bearing
14.4.4.1.4. 300 MW
15. Austrália & Yida, Sudão do Sul
15.1. STANDARDS & COMPLIANCE
15.1.1. FISC
15.1.2. HDS
15.1.3. HIPAA
15.1.4. ISO 9001
15.1.5. ISO 14001
15.1.6. ISO 22301
15.1.7. ISO 27001
15.1.8. ISO 45001
15.1.9. ISO 50001
15.1.10. NIST 800-53/FISMA
15.1.11. OSPAR
15.1.12. PCI DSS
15.1.13. SOC 1 Type II
15.1.14. SOC 2 Type II
15.1.15. SS 507
15.1.16. SS 564
15.1.17. TSI
15.1.18. TVRA
15.1.19. Uptime Institute
15.2. Project Finance
15.2.1. IFRS
15.2.2. US GAAP
15.2.3. ROI
15.2.3.1. 120 months
15.2.4. CAPEX
15.2.4.1. Start
15.2.4.1.1. 12 months
15.3. Grid
15.4. .
15.4.1. TIAC
15.4.1.1. Chiller Magnetic Bearing
15.4.1.1.1. .
15.4.2. .
15.4.3. OCR
15.4.3.1. .
15.4.4. 3 GW
15.4.4.1. .
15.4.4.1.1. .
15.4.4.1.2. TIER X
15.4.4.1.3. Chiller Magnetic Bearing
15.4.4.1.4. 300 MW
16. supercenter jean paul jacob Leme, Sao Paulo Brazil
16.1. STANDARDS & COMPLIANCE
16.1.1. FISC
16.1.2. HDS
16.1.3. HIPAA
16.1.4. ISO 9001
16.1.5. ISO 14001
16.1.6. ISO 22301
16.1.7. ISO 27001
16.1.8. ISO 45001
16.1.9. ISO 50001
16.1.10. NIST 800-53/FISMA
16.1.11. OSPAR
16.1.12. PCI DSS
16.1.13. SOC 1 Type II
16.1.14. SOC 2 Type II
16.1.15. SS 507
16.1.16. SS 564
16.1.17. TSI
16.1.18. TVRA
16.1.19. Uptime Institute
16.2. Project Finance
16.2.1. Japan International Cooperation Agency (JICA)
16.2.2. European Bank for Reconstruction and Development (EBRD)
16.2.3. International Finance Corporation (IFC)
16.2.4. CAPEX
16.2.4.1. ROI
16.2.4.1.1. 10 year | 20 year
16.2.4.2. OPEX
16.2.4.2.1. IFRS
16.2.4.2.2. US GAAP
16.2.4.2.3. Start
16.2.4.3. Mellieri NCWL
16.2.4.3.1. Estudo de Viabilidade
16.3. Grid
16.4. .
16.4.1. .
16.4.1.1. 2,5 GW
16.4.1.2. HCR Heat & Cooling ReCycle™ --> 1.0 GW
16.4.1.2.1. Block I: 3 x 1 (set of 3 Siemens SGT 9000 HL gas turbines with generators and 1 steam turbine with generator) generating 1,736.8 MW; Block II: 2x1 (2 Siemens SGT 8000 H gas turbines, with generator and 1 steam turbine with generator) with generation of 818.9 MW.
17. Remédio
17.1. Inovação
17.1.1. .
17.1.1.1. Desafios e Riqueza
17.1.1.1.1. 3
17.1.1.1.2. 1
17.1.1.1.3. 2
17.1.1.1.4. 4
17.1.1.2. .
17.1.1.2.1. Eficiência Energética
17.1.1.2.2. 1. Datacenter trata utilidades (refrigeração e energia) como um serviço para o cliente final 1.1 Gerador à óleo passivo (roda 30 min/ano) --> 25 x 8 x 366 10x, à gás natural Comgás 1.2 9x, excedente vendido no grid 1.2.1 Agora: Super center multiserviço: Eficiência energética se paga 1.2.2 Calor residual --> OCR geração de energia e/ou frio via chiller à absorção --> submersive liquid cooling 1.2.3 chiller elétrico rotor magnético --> submersive liquid cooling 2. Excedente energético Local --> SIN Sistema Integrado Nacional 2.1 Excedente energético Global --> Pluga no SIM. Sistema Integrado Mercosul 4. Gestão de oferta/demanda via machine learning
17.1.1.3. Source
17.1.1.3.1. Mellieri NCWL
17.1.1.3.2. URL
17.1.1.3.3. Authors
18. Definition
18.1. Source
18.1.1. NIST
18.1.1.1. National Institute of Standards and Technology
18.1.2. URL
18.1.2.1. http://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-145.pdf
18.1.3. Authors
18.1.3.1. Mell and Grance 2011
18.2. "Cloud Computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction."
18.2.1. Private cloud.
18.3. plus: five essential characteristics, three service models, and four deployment models.
18.3.1. 5 - 3 - 4
19. Essential Characteristics of Cloud Computing
19.1. On-demand self-service
19.1.1. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider.
19.2. Broad network access
19.2.1. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations).
19.3. Resource pooling
19.3.1. The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, and network bandwidth.
19.4. Rapid elasticity
19.4.1. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be appropriated in any quantity at any time.
19.5. Measured service
19.5.1. Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service.
20. Service Models
20.1. Software as a Service (SaaS)
20.1.1. The capability provided to the consumer is to use the provider’s applications running on a cloud infrastructure. The applications are accessible from various client devices through either a thin client interface, such as a web browser (e.g., web-based email), or a program interface. The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings.
20.2. Platform as a Service (PaaS)
20.2.1. The capability provided to the consumer is to deploy onto the cloud infrastructure consumer-created or acquired applications created using programming languages, libraries, services, and tools supported by the provider. The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, or storage, but has control over the deployed applications and possibly configuration settings for the application-hosting environment.
20.3. Infraestrutura como serviço (IaaS)
20.3.1. The capability provided to the consumer is to provision processing, storage, networks, and other fundamental computing resources where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, and deployed applications; and possibly limited control of select networking components (e.g., host firewalls).
21. Deployment Models
21.1. 1. Private cloud
21.1.1. The cloud infrastructure is provisioned for exclusive use by a single organization comprising multiple consumers (e.g., business units). It may be owned, managed, and operated by the organization, a third party, or some combination of them, and it may exist on or off premises.
21.2. 2. Community cloud
21.2.1. The cloud infrastructure is provisioned for exclusive use by a specific community of consumers from organizations that have shared concerns (e.g., mission, security requirements, policy, and compliance considerations). It may be owned, managed, and operated by one or more of the organizations in the community, a third party, or some combination of them, and it may exist on or off premises.
21.3. 3. Public cloud
21.3.1. The cloud infrastructure is provisioned for open use by the general public. It may be owned, managed, and operated by a business, academic, or government organization, or some combination of them. It exists on the premises of the cloud provider.
21.4. 4. Hybrid cloud
21.4.1. The cloud infrastructure is a composition of two or more distinct cloud infrastructures (private, community, or public) that remain unique entities, but are bound together by standardized or proprietary technology that enables data and application portability (e.g., cloud bursting for load balancing between clouds).
22. Utilidades 1.0.0
22.1. substação ETX - EISI - (Backup)
22.1.1. Medidor Bidirecional
22.2. Turbina Gás Natural Full Time (23 MW)
22.2.1. Energia Excedente
22.3. Energia Excedente
22.4. Turbina Gás Natural Full Time (23 MW)
22.4.1. Trigeraçao
22.4.1.1. .
22.4.1.1.1. .
22.4.2. Calor
22.4.2.1. Chiller Absorção (140 TR)
22.4.2.1.1. .
22.4.2.2. Chiller Absorção (140 TR)
22.4.2.2.1. .
22.4.2.3. Chiller Absorção (140 TR)
22.4.2.3.1. .
22.4.3. Energia Elétrica - (2,0 MW)
22.4.3.1. Switches EISI - substação utilidades
22.4.3.2. .
22.4.3.2.1. .
22.4.3.3. Switches EISI - substação utilidades
22.4.3.3.1. Cooling (6,4 KW)
22.4.3.3.2. BMS
22.4.3.3.3. Iluminação
22.4.3.3.4. Escritório
22.4.3.3.5. UPS
22.4.3.4. Switches EITS - substação TIC
22.4.3.5. Switches EITS - substação TIC
22.4.3.5.1. TIER X
22.4.3.5.2. Network Gear & Storage
22.4.3.5.3. Server liquid cooling
22.4.3.5.4. Storage
22.4.3.5.5. CRAC´s
22.4.3.5.6. UPS
22.5. .
23. GRID
23.1. Balanço(42MW)
23.1.1. receitas(+44MW)
23.1.2. despesas(-2MW)
23.2. Eficiência Energética
23.3. 80%
23.4. Eficiência Energética
24. Dor
24.1. pain
24.2. dolor
24.3. pyn
24.4. schmerzen
24.5. 아픔
24.6. smerte
24.7. boljeti
24.8. .
24.8.1. .
24.8.1.1. .
24.8.2. .
24.8.2.1. .
24.8.2.1.1. .
24.9. ឈឺ
24.10. болеть
24.11. irora
24.12. 疼痛
24.13. dolore
24.14. ağrı
24.15. وجع
24.16. dolori
24.17. .
24.17.1. .
24.17.1.1. .
24.17.1.1.1. .
24.17.1.1.2. Source
24.17.2. .
24.17.3. .
24.17.4. .
25. mellieri ncwl fund : US$17 trillions
25.1. .
25.1.1. 2006
25.1.1.1. Gartner Says 50 Percent of Data Centers Will Have Insufficient Power and Cooling Capacity by 2008 STAMFORD, Conn., November 29, 2006 — Organizations are increasingly deploying more computing power, but, by 2008, 50 percent of current data centers will have insufficient power and cooling capacity to meet the demands of high-density equipment, according to Gartner, Inc. Two years ago, Gartner made the above shocking prediction … then it turned out to be true. CIOs and IT Managers are maxing out their data centers as Moore’s law plays out – twice as fast, twice as much power, half the space, every 18 months. In today’s economy, IT executives are left with a difficult set of decisions: Do I request more capital to meet my growing IT demands? Can I reduce costs to meets the demands? How do I keep my data center running with less skilled IT professionals on staff? With limited capital to invest in data centers and the pressure to reduce costs, Many CIOs are considering how they can expand their data centers through co-location with an experienced managed datacenter operator.
25.1.1.1.1. 2007