Established in June 2010, the Energy Research Institute @NTU (ERI@N) distinguishes itself through excellence in basic research directed towards outcomes of high industry relevance, with focus on systems-level research for tropical megacities.

It achieves this via seven Interdisciplinary Research Programmes (IRP) and two Flagship Programmes that covers the energy value chain from generation, transmission to end use. The IRPs address research covering the domains of renewables, low carbon generation along with energy storage and fuel cells; renewables integration, multi-energy systems and grids; sustainable buildings, future mobility solutions and maritime clean energy.

The two flagship projects, EcoCampus and Renewable Energy Integration Demonstrator Singapore (REIDS) serve as strong “Living Lab” platforms to engage industry developed innovation, focusing on solutions that achieves energy efficiency and renewable energy integration into smart micro grids, respectively.

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Figure 5e.opju
Apr 1, 2024 - Replication Data for: Molecular Locking with All-Organic Surface Modifiers Enables Stable and Efficient Slot-Die-Coated Methyl-Ammonium-Free Perovskite Solar Modules
Unknown - 377.7 KB - MD5: 78c4aa6548a4b353c05b51c0359de92c
Figure 5f inside.jpg
Figure 5f inside.jpg
Apr 1, 2024 - Replication Data for: Molecular Locking with All-Organic Surface Modifiers Enables Stable and Efficient Slot-Die-Coated Methyl-Ammonium-Free Perovskite Solar Modules
JPEG Image - 59.9 KB - MD5: d2cd5b81b0030a30858a60628b260bf1
Figure 5f.opju
Apr 1, 2024 - Replication Data for: Molecular Locking with All-Organic Surface Modifiers Enables Stable and Efficient Slot-Die-Coated Methyl-Ammonium-Free Perovskite Solar Modules
Unknown - 64.5 KB - MD5: 553069ff5280d542077b8a8afe7ef86b
Figure 5g.opju
Apr 1, 2024 - Replication Data for: Molecular Locking with All-Organic Surface Modifiers Enables Stable and Efficient Slot-Die-Coated Methyl-Ammonium-Free Perovskite Solar Modules
Unknown - 69.2 KB - MD5: 594199cfaf0dbb18f9cd5faef06626b1
full_track_drive_latency.tab
Nov 3, 2023 - a2z LiDAR Infrastructure System V2X communication performance data
Tabular Data - 244.5 KB - 6 Variables, 2554 Observations - UNF:6:3lFmUjoK0Xd91ZoOZ9zPMA==
Latency comparison across the entire test track
full_track_drive_vut_position.tab
Nov 3, 2023 - a2z LiDAR Infrastructure System V2X communication performance data
Tabular Data - 50.6 KB - 11 Variables, 266 Observations - UNF:6:+3BFNUmpFDvkikYCWLbVIA==
VUT position data for the drive across the CETRAN test track
scenario1_jaywalker_latency_1.tab
Nov 3, 2023 - a2z LiDAR Infrastructure System V2X communication performance data
Tabular Data - 34.7 KB - 6 Variables, 366 Observations - UNF:6:JYC0YxscJoiL3KqZEd87Gw==
Latency data for scenario 1 run 1
scenario1_jaywalker_latency_2.tab
Nov 3, 2023 - a2z LiDAR Infrastructure System V2X communication performance data
Tabular Data - 37.9 KB - 6 Variables, 399 Observations - UNF:6:/D8AqxKvkYlWgPz+8NuGkQ==
Latency data for scenario 1 run 2
scenario1_jaywalker_vut_position_1.tab
Nov 3, 2023 - a2z LiDAR Infrastructure System V2X communication performance data
Tabular Data - 6.9 KB - 11 Variables, 37 Observations - UNF:6:5cx/CvPVgVjW8Wbb9wGoaQ==
VUT position data for scenario 1 run 1
scenario1_jaywalker_vut_position_2.tab
Nov 3, 2023 - a2z LiDAR Infrastructure System V2X communication performance data
Tabular Data - 7.3 KB - 11 Variables, 40 Observations - UNF:6:Rghsdjysab7AyeUzGWNJ7w==
VUT position data for scenario 1 run 2
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