Opportunity Overview
Traditionally, efforts toward carbon neutrality have focused on installing renewable energy sources and increasingly coupling them with large-scale storage systems. We aim to complement this approach by optimising energy use in high-demand buildings in dense cities and a distributed network of BESS which is space-efficient and cost-effective. The proposed setup offers a cost-effective, localised, and efficient means of energy production, storage, and consumption. Through NILM, energy usage is disaggregated, providing input for a machine learning-enabled DERMS to predict future consumption patterns and allowing for better matching of demand with renewable supply. This enables targeted energy efficiency measures, demand response, and optimised dynamic allocation of clean stored energy (the BESS will charge during renewable hours), contributing significantly to Singapore's path to net zero and reducing energy costs for building stakeholders.
Moreover, the city's vulnerability to extreme weather events and grid disruptions emphasises the need for resilient energy infrastructure. BESS-enabled embedded microgrids can function as decentralised energy storage units, ensuring continuous power supply during grid outages or emergencies. This contributes to the overall resilience of the urban energy system, supporting critical services and maintaining normalcy even in adverse conditions. Likewise, as imported renewable energy from neighbouring countries increases, the flexibility provided...
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Start FreeSolicitation Details
| Issuing agency | Innovate UK |
|---|---|
| Country | United Kingdom |
| Category | Research Development |
| Estimated value | $392,938 |
| Published | June 30, 2024 |
| Procurement stage | Active solicitation |
| Closed | Closing date not published |
| Status | Closed — no longer accepting responses |
| Official source | View original notice |
| Last verified | October 11, 2026 |
Source: UK Research and Innovation (UKRI) — Open Government Licence v3.0.
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