Abstract
The data center market is expected to grow at 7% during 2022- 2027 and the market size is to reach RM2.0 billion in 2027. The high impact of ICT contributes to high energy consumption, which will impact the environment and greenhouse gas emissions. To reduce energy consumption is to introduce a green data centre. Implementing a green data center involves the introduction of energy-efficient measures for the data center. This will include using energy-efficient ICT equipment and energy-efficient facilities equipment, especially the HVAC system. The successful introduction of the green data center involves new technologies in which there will be barriers that need to be addressed. Based on the study, green awareness and the benefit of switching to green data centers is essential for green data center initiatives in Malaysia.
Keywords
- Green Data Centers Search this journal for Green Data Centers (opens in a new tab)
- Energy Consumption Search this journal for Energy Consumption (opens in a new tab)
- Greenhouse Gas Search this journal for Greenhouse Gas (opens in a new tab)
- Interpretive Structural Modelling (ISM) Search this journal for Interpretive Structural Modelling (ISM) (opens in a new tab)
References
- Arizton. (2022). Malaysia Data Center Market to Reach Over $ 2 Billion by 2027. Hyperscale Providers to Ramp up their Investments - Arizton. (2027).
- Attri, R., Dev, N. & Sharma, V. (2013). Interpretive Structural Modelling (ISM) approach: An Overview, 2(2), 3–8.
- Bertoldi, P., Boza-kiss, B., Economidou, M., Palermo, V. & Todeschi, V. (2020). How to finance energy renovation of residential buildings: Review of current and emerging financing instruments in the EU. (November 2019). https://doi.org/10.1002/wene.384
- Clairand, J., Briceño-león, M., Member, S., Escrivá-escrivá, G. & Pantaleo, A. M. (2020). Review of Energy Efficiency Technologies in the Food Industry: Trends, Barriers, and Opportunities, 8, 48015–48029.
- Deng, W., Liu, F., Jin, H., Li, B. & Li, D. (2014). Harnessing renewable energy in cloud data centers: Opportunities and challenges. IEEE Network, 28(1), 48–55. https://doi.org/10.1109/MNET.2014.6724106
- Hu, X., Li, P. & Sun, Y. (2021). Minimizing Energy Cost for Green Data Centers by Exploring Heterogeneous Energy Resources. Journal of Modern Power Systems and Clean Energy, 9(1), 148–159. https://doi.org/10.35833/MPCE.2019.000052
- Ige, O., Inambao, F., Olanrewaju, O., Duffy, K. & Collins, O. (2020). Drivers and barriers to industrial energy efficiency.
- Insight, M. (2020). Green Data Centre Market Study Report. Website, (7). Retrieved from https://doi.org/10.1016/j.jnc.2020.125798%0Ahttps://doi.org/10.1016/j.smr.2020.02.002%0Ahttp://www.ncbi.nlm.nih.gov/pubmed/810049%0Ahttp://doi.wiley.com/10.1002/anie.197505391%0Ahttp://www.sciencedirect.com/science/article/pii/B9780857090409500205%0Ahttp:
- Kangas, H. L., Lazarevic, D. & Kivimaa, P. (2018). Technical skills, disinterest and non-functional regulation: Barriers to building energy efficiency in Finland viewed by energy service companies. Energy Policy, 114, 63–76. https://doi.org/10.1016/j.enpol.2017.11.060
- Koomey, J. G. (2007). Estimating Regional Power Consumption by Servers: A Technical Note. World.
- Liu, Y., Development, A., Group, B. & Noor, R. (2020). Energy Efficiency in ASEAN: Trends and Financing Schemes. (June). https://doi.org/10.13140/RG.2.2.27979.00804
- Malaysia International Trade Investment. (2018). MITI R e p o r t 2018.
- Market, R. (2020). Malaysia Data Center Market - Investment Analysis and Growth Opportunities 2020-2025. In Research and Market (Vol. 5).
- MCMC, Elias, N. F., Neo, W. H., Johari, M. S., Lalchand, G., Seng, L. S. & Johari, N. (2015). Technical Code for the specification for green data centers. (December), 14–16.
- Morabito, M., Wang, L. & Payne, C. (2020). National Mandates Won’t Save Us?!: How to Design Energy Efficiency Policies that Address Institutional Barriers to Change Energy Technologies Area August 2020. Energy Technologies.
- Murshed, M. (2020). An empirical analysis of the non-linear impacts of ICT-trade openness on renewable energy transition energy efficiency, clean cooking fuel access and environmental sustainability in South Asia. 36254–36281.
- Nexcecss. (2020). Classification of data centers.
- Qureshi, A. (2004). Power-Demand Routing in Massive Geo-Distributed Systems.
- Raj, T., Shankar, R. & Suhaib, M. (2008). An ISM approach for modelling the enablers of a flexible manufacturing system: The case for India. In International Journal of Production Research (Vol. 46). https://doi.org/10.1080/00207540701429926
- Ren, C., Wang, D., Urgaonkar, B. & Sivasubramaniam, A. (2014). Carbon-aware energy capacity planning for data centers. Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012, 391–400.
- Sengar, A., Sharma, V., Agrawal, R., Dwivedi, A., Dwivedi, P., Joshi, K. & Barthwal, M. (2020). Prioritization of barriers to energy generation using pine needles to mitigate climate change: Evidence from India. Journal of Cleaner Production, 275, 123840.
- Tripathi, R., Vignesh, S. & Tamarapalli, V. (2017). Optimizing Green Energy, Cost, and Availability in Distributed Data Centers. IEEE Communications Letters, 21(3), 500–503.
- Uddin, M. & Rahman, A. A. (2011). Techniques to implement in green data centers to achieve energy efficiency and reduce global warming effects, 3(4), 372–389.
- Uddin, M. & Rahman, A. A. (2012). Validation of green IT framework for implementing energy-efficient green data centers: A case study. International Journal of Green Economics, 6(4), 357–374.
- Uddin, M., Shah, A. & Memon, J. (2014). Energy efficiency and environmental considerations for green data centers Energy efficiency and environmental considerations for green data centers Mueen Uddin * Asadullah Shah Jamshed Memon. (November). https://doi.org/10.1504/IJGE.2014.065852
- Warfield, J. N. (1974). Developing Subsystem Matrices in Structural Modeling. IEEE Transactions on Systems, Man and Cybernetics, SMC, 4(1), 74–80. https://doi.org/10.1109/TSMC.1974.5408523.
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Keywords
- Green Data Centers Search this journal for Green Data Centers (opens in a new tab)
- Energy Consumption Search this journal for Energy Consumption (opens in a new tab)
- Greenhouse Gas Search this journal for Greenhouse Gas (opens in a new tab)
- Interpretive Structural Modelling (ISM) Search this journal for Interpretive Structural Modelling (ISM) (opens in a new tab)
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Vol. 15 No. 4(SI)I (2023)
Social Media Exposure, Fintech & Digital Consumer Engagement
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