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MADRID (AFP) - More than 300 buildings in Madrid now run on energy extracted from olive cores, raising hopes that olives -- of which Spain is the world's largest producer -- will become an alternative source of cheap power.

But ecologists have questioned the merits of the scheme.

Behind the cellar door at number 12 Paseo de La Habana in the centre of the Spanish capital, a bitter smell of olives permeates the stuffy atmosphere.

An aluminium heating system continuously sucks tonnes of olive cores from a silo to a stove where they are transformed into embers that give off sufficient energy to heat 16 apartments and offices.

"The quality of the heating is higher and more constant than natural gas or carbon, it's less dirty and less ugly than coal, the costs are lower and it is a national product which does not leave us dependent on fuel (price) fluctuations," says Jorge Tudel, chairman of the flat-owners association.

The scheme came into being when the association found itself confronted by the need to renovate the old carbon-based heating system.

The firm it contacted, Calordom, which relies on olive cores, almond skins or grape pips for its own energy needs, proposed its services to homeowners who were immediately enthusiastic.

The possibility of receiving financial help from regional authorities, who over the past two years have provided assistance for the installation of renewable energy sources, was a factor behind Calordom's decision to invest 100,000 euros (120,000 dollars), of which 20 percent was public money, in the conversion project.

In 2005, the first year of the scheme, heating costs for the whole building came to 17,000 euros, compared with 23,000 euros under the old carbon-based system, a 30 percent saving.

The building is one of 300 in the Spanish capital that has been converted to olive-fuelled energy, says Calordom head Juan Cabello. When the firm launched its operations in 2001 it had just one employee, compared with 15 today.

"The energy is 100 percent non-polluting, a kilo (2.2 pounds) of burnt olive cores, in reality wood compressed in a natural fashion, emits the same quantity of carbon gas as they would if you just left them to rot," insists Cabello.

"The use of compressed wood ...has existed in Austria for 15 years and also in Germany and France.

"In Spain, environmental consciousness remains little developed," he added.

Cabello notes that "you find olives from the Pyrenees to the Bay of Cadiz," easily making Spain the world's top producer.

But energy from the crop remains "insignificant" in the country compared with natural gas, fuel or coal.

And ecologists say that must remain the case as they fear the process has flaws that would clearly emerge if the process were to become more widespread.

In that case, energy cultures would become "intensive, which would presuppose a high utilisation of fuel-derived fertiliser, utilisation of high fuel consumption machines and, in that case, the energy balance is no longer positive," explains Sara Pizzinato from Greenpeace.

Pizzinato says that "the carbon gas emitted to produce this energy must not be greater than that which it is then going to emit and that the energy generated by this combustible (product) must be superior to the energy utilised in creating this combustible."

Excessive use of the biomass burned on a large scale could have effects that would be in inverse proportion to those banked on in environmental terms.

It could lead to a drop in the quality of the land, desertification and climate change, ecologists warn.

source

Edited by Hum
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    • AMD RX 9070 GRE AI, Blender benchmarks vs 9070 XT, 7800XT, Nvidia RTX 5070, 4070 by Sayan Sen Earlier this week, we shared the first part of our review of AMD's new RX 9070 GRE. It was about the gaming performance of the GPU, and we gave it an 8 out of 10. As a follow-up, similar to how we did with the 9070 XT and non-XT, we are doing a dedicated productivity review for the RX 9070 GRE as well, where we compare it against the 9070 XT, 9070, 7800 XT, as well as Nvidia's 5070 and 4070. This will include AI, rendering, compute, and more benchmarks. AI performance, especially, is a very important metric in today's world, and AMD also promised big improvements thanks to its underlying architectural improvements. We will be pitching it against the data we already have for the RX 9070, and RX 9070 XT, but also the Nvidia 5070 FE, MSI GeForce RTX 4070 VENTUS 2X 12G, and Gigabyte Radeon RX 7800 XT GAMING OC 16G as they are in a similar price class, but also because we do not have a comparable 5060 Ti card lying around here that we can compare it against. Before we get underway, this is a collaboration between Sayan Sen and Steven Parker, who lent me his test bed. Also, there was no editorial input from AMD. First up, the specs of the RX 9070, 9070 XT, and 9070 GRE, which were given to us by AMD: Radeon RX 9070 GRE Radeon RX 9070 Radeon RX 9070 XT Boost Clock: Game Clock: up to 2.79GHz up to 2.20GHz up to 2.52GHz up to 2.07GHz up to 2.97GHz up to 2.40GHz Stream Processors 3,072 (48 CU) 3,584 (56 CU) 4,096 (64 CU) Ray Accelerator 48 56 64 AI Accelerator 96 112 128 ROPs 96 128 Texture Mapping Units 192 224 256 Memory 12 GB GDDR6, 18Gbps Clock, 192-bit Bus 432 GB/s 16 GB GDDR6, 20Gbps Clock, 256-bit Bus Effective Memory Bandwidth: 640 GB/s Infinity Cache 48 MB (3rd Gen) 64 MB (3rd Gen) Card Bus PCI-E 5.0 X16 Output 2x HDMI 2.1b 2x DisplayPort 2.1a Power consumption 220W 304W Recommended PSU 650W 750W Slot width 2x 3x Price (SEP) $549 $599 As you can see from the specs above, it is less than the standard RX 9070 in every way that counts, except for slightly higher Boost and Game clock speed. Design Moving on, the RX 9070 GRE we were given is an XFX Swift triple-fan, dual-slot design with two 8-pin connectors. At 30cm (self-measured), it will fit in most systems easily. There is no RGB either. The AMD Radeon RX 9070 GRE by XFX from all angles. Test system Our test system consists of the following: Lian Li O11 Dynamic Mini V2 Flow (Amazon|Newegg) ASUS Z890 ProArt Creator WiFi (Amazon|Newegg) Intel Core Ultra 7 270K Plus (Amazon|Newegg) Thermal Grizzly KryoSheet - 44x37 (Amazon|Newegg) 2x 16GB G.Skill Trident Z5 RGB (7200 MT/s in XMP) (Amazon|Newegg) Sabrent Rocket4 Plus 2TB SSD (Amazon) Windows 11 25H2 (Build 26200.8246) AMD shared a press driver based on the recently released Adrenaline 26.5.2 that we were required to use. We now move on to our benchmarks. First up, we have Geekbench AI running on ONNX. For some reason, the 9070 GRE does exceptionally well here in both half-precision (FP16) and single-precision (FP32). It manages to beat the RTX 5070 and RX 9070 non-XT, and is only behind the 9070 XT. Since Geekbench runs in short bursts instead of continuously hammering the graphics card, it seems the GRE's faster boost clocks are helping here. Next up, we move to the UL Procyon AI test suite, starting with the image generation benchmark. We chose the Stable Diffusion XL FP16 test since it is the most intense workload available on Procyon. The Nvidia cards do very well here, as even the 4070 out-muscles AMD's best fairy easily. The positive thing about the GRE is that it gets quite close to the 9070 non-XT in this test; this indicates that the VRAM does not play a very big role here, as SD XL relies on float16 (FP16). So this is something to keep in mind again. If you wish to work with float32 AI workloads, graphics cards with larger than 12 GB buffers would likely emerge as victors. Regardless, the gains are still massive on AMD's 9000 series compared to the 7000 series. 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