| Title | Review of Smart City Energy Modeling in Southeast Asia |
|---|---|
| ID_Doc | 45543 |
| Authors | Shafiullah, M; Rahman, S; Imteyaz, B; Aroua, MK; Hossain, MI; Rahman, SM |
| Title | Review of Smart City Energy Modeling in Southeast Asia |
| Year | 2023 |
| Published | Smart Cities, 6, 1 |
| Abstract | The Southeast Asian region has been eagerly exploring the concepts of smart city initiatives in recent years due to the enormous opportunities and potential. The initiatives are in line with their plan to promote energy efficiency, phase down/out fossil fuel-based generation, and reduce greenhouse gas emission intensity and electrification of various sectors in addition to renewable energy targets and policies to achieve net zero emissions by 2050 or 2060. However, the major challenges for these countries are related to leadership, governance, citizen support, investment, human capacity, smart device heterogeneity, and efficient modeling and management of resources, especially the energy systems. An intelligent energy system is one of the most significant components for any functional smart city, where artificial intelligence (AI), the internet of things (IoT), and big data are expected to tackle various existing and evolving challenges. This article starts with a brief discussion of smart city concepts and implementation challenges. Then, it identifies different types of smart city initiatives in Southeast Asian countries focusing on energy systems. In addition, the article investigates the status of smart systems in energy generation and storage, infrastructure, and model development. It identifies the unique challenges of these countries in implementing smart energy systems. It critically reviews many available energy modeling approaches and addresses their limitations and strengths, focusing on the region. Moreover, it also provides a preliminary framework for a successful energy system that exploits AI, IoT, and big data. Finally, the roadmap for a successful energy system requires appropriate policy development, innovative technological solutions, human capacity building, and enhancement of the effectiveness of current energy systems. |
| https://www.mdpi.com/2624-6511/6/1/5/pdf?version=1672050706 |
Similar Articles
| ID | Score | Article |
|---|---|---|
41609
|
Mosannenzadeh, F; Bisello, A; Vaccaro, R; D'Alonzo, V; Hunter, GW; Vettorato, D Smart energy city development: A story told by urban planners(2017) | |
| 38388
|
Matheri, AN; Ngila, JC; Njenga, CK; Belaid, M; van Rensburg, NJ Smart City Energy Trend Transformation in the Fourth Industrial Revolution Digital Disruption(2019) | |
| 45210
|
Mutule, A; Teremranova, J; Antoskovs, N Smart City Through A Flexible Approach To Smart Energy(2018)Latvian Journal Of Physics And Technical Sciences, 55, 1 | |
| 40162
|
Sun, GD A Conceptual Framework for the Integrated Studies of Energy Transformation in Smart Cities(2019) | |
| 39736
|
Xia, X; Wu, XG; BalaMurugan, S; Karuppiah, M Effect of environmental and social responsibility in energy-efficient management models for smart cities infrastructure(2021) | |
| 37748
|
Jnr, BA Smart city data architecture for energy prosumption in municipalities: concepts, requirements, and future directions(2020)International Journal Of Green Energy, 17.0, 13 | |
| 42353
|
Kim, H; Choi, H; Kang, H; An, J; Yeom, S; Hong, T A systematic review of the smart energy conservation system: From smart homes to sustainable smart cities(2021) | |
| 39709
|
Lim, Y; Edelenbos, J; Gianoli, A Smart Energy Transition: An Evaluation of Cities in South Korea(2019)Informatics-Basel, 6, 4 | |
| 44595
|
Anthopoulos, L; Kazantzi, V Urban energy efficiency assessment models from an AI and big data perspective: Tools for policy makers(2022) | |
| 41800
|
Zamponi, ME; Barbierato, E The Dual Role of Artificial Intelligence in Developing Smart Cities(2022)Smart Cities, 5, 2 |