Biocoal maker 4Energy sees surge in sales

By Reuters


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Belgian biocoal maker 4Energy Invest expects earnings to rise 10 percent in the second half of 2010, and sees sales up tenfold within four years on a surge in demand for the CO2neutral fuel.

The firm, which makes electricity and biocoal by burning waste wood, is planning a major international expansion and has opened an office in Brazil, is building a site in Ham, Belgium, and is looking at sites in Germany and the UK.

Turnover we should reach it multiplied by 10 within three to four years, Chief Executive Yves Crits told Reuters during an interview at its main power plant in Amel, on the border between Germany and Belgium.

4Energy floated in 2008 at just over 6 euros and peaked later that year at just over 7 euros before falling in the recession. While trading around 5 euros for most of this year, it should post further gains on the expansion plan.

What we have done is to anticipate the roll out of the technology by already introducing the permit file in Ham, the permit file in Germany, by already creating the office in Brazil, by having negotiation with groups in other parts of the world, he said.

The company began life in 2005 producing energy for the wood industry in the forests around Amel, but its role as a biocoal pioneer resulted in it being approached to set up plants in countries as far afield as Brazil and New Zealand.

We were contacted by people in New Zealand, they contact us. As the first mover we have enjoyed high visibility and we want to keep this first mover advantage, said Crits.

Earnings before interest, tax, depreciation and amortization EBITDA tumbled to 2.8 million euros US $3.78 million in 2009 compared with 4.3 million in the previous year, hit by falling energy prices.

However, Crits predicted that EBITDA would rise by about 10 percent in the second half of 2010 as prices recovered.

The Amel plant combines an electricity generator powered by waste wood, and a unit which super heats the wood to create biocoal, which the company then sells to be burned by power stations.

However, many of the new sites could focus on making biocoal, with a waste wood generator used mainly to give the plant electricity.

You cut the tree to make the biocoal, you replant it, and basically you dont increase the volume of CO2, thats the reason why the biocoal is CO2 neutral, said Crits.

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Key Points

A bilateral grid interconnection by NEPCO and Saudi Electricity Co. to improve reliability and stability.

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Also on Wednesday, the Government approved the third amendment to the grant agreement provided by the EU for a programme of financial inclusion through improving the governance and the spread of micro-financing in Jordan.

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Key Points

Modernizing four Pickering CANDU units to extend life, add clean power, and enhance Ontario grid reliability.

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Looking forward, AtkinsRealis is exploring the potential for multiple refurbishments of CANDU reactors, which could extend their operational life beyond 100 years, addressing local energy needs and economic factors in the decision-making process. This innovative approach underscores the role of nuclear refurbishment in meeting global energy demands sustainably and economically.

 

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Key Points

Short-term forecasting of power flows using big data, weather inputs, and machine learning to stabilize smart grids.

✅ Uses big data, weather, and ML for 6-hour forecasts

✅ Improves reliability, cuts blackouts and energy waste

✅ Supports smart grids, renewables, and grid balancing

 

Three European prediction specialists have won prizes worth €2 million for developing the most accurate predictions of electricity flow through a grid

The three winners of the Big Data Technologies Horizon Prize received their awards at a ceremony on 12th November in Austria.

The first prize of €1.2 million went to Professor José Vilar from Spain, while Belgians Sofie Verrewaere and Yann-Aël Le Borgne came in joint second place and won €400,000 each.

The challenge was open to individuals groups and organisations from countries taking part in the EU’s research and innovation programme, Horizon 2020.

Carlos Moedas, Commissioner for Research, Science and Innovation, said: “Energy is one of the crucial sectors that are being transformed by the digital grid worldwide.

“This Prize is a good example of how we support a positive transformation through the EU’s research and innovation programme, Horizon 2020.

“For the future, we have designed our next programme, Horizon Europe, to put even more emphasis on the merger of the physical and digital worlds across sectors such as energy, transport and health.”

The challenge for the applicants was to create AI-driven software that could predict the likely flow of electricity through a grid taking into account a number of factors including the weather and the generation source (i.e. wind turbines, solar cells, etc).

Using a large quantity of data from electricity grids, EU smart meters, combined with additional data such as weather conditions, applicants had to develop software that could predict the flow of energy through the grid over a six-hour period.

Commissioner for Digital Economy and Society Mariya Gabriel said: “The wide range of possible applications of these winning submissions could bring tangible benefits to all European citizens, including efforts to tackle climate change with machine learning across sectors.”

The decision to focus on energy grids for this particular prize was driven by a clear market need, including expanding HVDC technology capabilities.

Today’s energy is produced at millions of interconnected and dispersed unpredictable sites such as wind turbines, solar cells, etc., so it is harder to ensure that electricity supply matches the demand at all times.

This complexity means that huge amounts of data are produced at the energy generation sites, in the grid and at the place where the energy is consumed.

Being able to make accurate, short-term predictions about power grid traffic is therefore vital to reduce the risks of blackouts or, by enabling utilities to use AI for energy savings, limit waste of energy.

Reliable predictions can also be used in fields such as biology and healthcare. The predictions can help to diagnose and cure diseases as well as to allocate resources where they are most needed.

Ultimately, the winning ideas are set to be picked up by the energy sector in the hopes of creating smarter electricity infrastructure, more economic and more reliable power grids.

 

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