Article 2: Unpacking the Green Electricity Import Bid: A Retrospective from VPP Partners’s Perspective

October 4, 2024

This article was first posted on LinkedIn on 7 June 2024

The Inaugural Auction for 100MW Green Energy Sale to Singapore

In a landmark move towards sustainability, Malaysia extended an invitation to Singaporean bidders in April 2024 to participate in the purchase of Green Electricity. This initiative, part of the Cross Border Electricity Sales for Renewable Energy Scheme (CBES RE Scheme), is facilitated through the Energy Exchange Malaysia (ENEGEM) platform.

The pilot phase of this initiative will see up to 100MW of renewable energy, split into two 50MW blocks, exported to Singapore. This energy, harnessed from solar power plants and/or hydropower stations, will be bundled with Renewable Energy Certificates (RECs) and delivered on a flat 24-hour profile.

The delivery period is set for one year, from 1 September 2024 to 31 August 2025. The auction format is continuous bidding and pay-as-bid. The two highest bids win, with each bidder allowed to win only one 50MW block.

Let’s look at the some of the key considerations.


A Tight Timeline

The timeline for this Pilot Auction is notably condensed, with just over four weeks from the Expression of Interest to the Close of the Registration Date. This compact schedule may pose challenges for some retailers or generators in formulating their bids.


Eligibility Criteria for the Auction

Bidders are required to hold a retailer or generator licence. Given the tight timeline, it may deter external entities from partnering with these licensees to participate in the bid. Additionally, Special Purpose Vehicles (SPVs) and consortiums are not permitted.

Successful bidders are required to obtain an Importer Licence from the Energy Market Authority (EMA) in Singapore. The EMA has set certain requirements, which means not all licensees will be eligible to obtain the Importer Licence. This would result in a lower number of bidders for the pilot phase.


Setting the Bid Price

In 2024, the Uniform Singapore Energy Price (USEP) experienced considerable variations monthly, with average prices ranging from $107.70 to $288.70 per MWh. While the bid price encompasses all pertinent expenses in Peninsular Malaysia, such as RECs and system charges, it does not account for costs incurred on the Singapore’s side. These include the Capacity Charge by Singapore Power PowerAssets Ltd (SPPA) for the use of the interconnector and other market-related charges. Therefore, it’s crucial for bidders to take those costs into consideration and exercise prudence when determining their bid amount.


Securing Customer Load Demand

For smaller retailers, securing a customer load of over 50MW could pose a challenge, especially as the import commences on 1 September 2024. The inability to guarantee at least 100% offtake by this date could escalate market risks.


Renewable Energy Certificates (RECs)

As RECs are only granted upon the completion of the agreement, retailers may face challenges when targeting organisations seeking to purchase green electricity. Careful considerations are needed to ensure these organisations can comply with the relevant renewable energy reporting requirements and adhere to carbon tax obligations.


While this Pilot Auction may not be as attractive as initially hoped, bidders may view this pilot as a stepping stone to gain access to future electricity import projects. Malaysia has indicated that this is a pilot phase, and the import may potentially increase to 300MW. Regardless, this initiative signifies a significant stride towards a sustainable future, underscoring the potential of cross-border cooperation in promoting renewable energy sources.


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April 10, 2025
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April 10, 2025
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April 10, 2025
Here at VPP Partners we are always thinking about all things energy. The energy transition and all the moving parts are complex and looking for ways to demystify the challenges and help overcome them is one of our key drivers. Recently, VPP Partners's Energy Specialist Lachlan Ryan built a model to answer a question that he had been toying with for some time. The question was along the lines of “There must be a way to create a graph that would show the required spread between charge and discharge for a BESS in the wholesale electricity market for different capital costs to meet a desired financial metric”. It was believed that this would help to demonstrate a few different aspects relating to batteries in the NEM: Understanding Capex Requirements: Enabling the quick identification of the capex ranges required to get reasonable project returns based on expected charge and discharge prices. Highlighting Value Stacking: Highlighting that value stacking with other value streams is likely needed to meet the required financial returns. Value streams and contracting: Understanding your value streams and the potential importance of contracting your assets to firm up revenue. Trading capabilities: The requirement for competent trading capabilities to realise as much value as possible from the market. Key Assumptions The model itself had several assumptions that are highlighted as follow: Target internal rate of return (IRR): 12%, 15%, 18% Round trip efficiency (RTE): 85% (losses applied to charge cycle) Annual degradation rate: 3% Depth of discharge (DoD): 90% Cycles per day: 1.5 Project duration: 15 years Interest rate: 0% (self-funded model) The Challenge of Real-World Charging Prices A critical assumption in this model is that the battery charges at $0/MWh, which means the spread is equal to the discharge price. However, in real-world scenarios, the battery won't always charge at $0/MWh, and due to the round-trip efficiency (RTE), the actual required spread isn’t straightforward. For example: A 1MWh BESS charging at $0/MWh and discharging 0.85MWh (with 85% RTE) at $100/MWh results in a margin of $85/MWh. If the battery charges at $100/MWh and discharges at $200/MWh (maintaining a $100/MWh spread), the margin drops to $70/MWh. To achieve the same $85 margin, you would need to discharge at $217.6/MWh. This led to a redefined the problem: Instead of calculating the required spread, the result was required profit per MWh for all discharged energy. This model created the graph ‘Required Profit vs Cost of BESS’, where the x-axis is the capital cost of the battery system, and the y-axis is the required $/MWh profit required for all the discharged energy.