• Energy Research
• Open Source close
• Embargo close
• 12. Responsible consumption close
• Energy close

The chemical and petrochemical sector is by far the largest industrial energy user, accounting for 30% of the industry's total final energy use. However, due to its complexity its energy efficiency potential is not well understood. This article analyses the energy efficiency potential on a country level if Best Practice Technologies (BPT) were implemented in chemical processes. Two approaches are applied and an improved dataset referring to Europe has been developed for BPT energy use. This methodology has been applied to 66 products in fifteen countries that represent 70% of chemical and petrochemical sector's energy use worldwide. The results suggest a global energy efficiency potential of 16% for this sector, excluding savings in electricity use and by higher levels of process integration, combined heat and power (CHP) and post-consumer plastic waste treatment. The results are more accurate than previous estimates. The results suggest significant differences between countries, but a cross-check based on two different methods shows that important methodological and data issues remain to be resolved. Further refinement is needed for target setting, monitoring and informing energy and climate negotiation processes. For the short and medium term, a combination of benchmarking and country level analysis is recommended.

The chemical and petrochemical sector is by far the largest industrial energy user, accounting for 30% of the industry's total final energy use. However, due to its complexity its energy efficiency potential is not well understood. This article analyses the energy efficiency potential on a country level if Best Practice Technologies (BPT) were implemented in chemical processes. Two approaches are applied and an improved dataset referring to Europe has been developed for BPT energy use. This methodology has been applied to 66 products in fifteen countries that represent 70% of chemical and petrochemical sector's energy use worldwide. The results suggest a global energy efficiency potential of 16% for this sector, excluding savings in electricity use and by higher levels of process integration, combined heat and power (CHP) and post-consumer plastic waste treatment. The results are more accurate than previous estimates. The results suggest significant differences between countries, but a cross-check based on two different methods shows that important methodological and data issues remain to be resolved. Further refinement is needed for target setting, monitoring and informing energy and climate negotiation processes. For the short and medium term, a combination of benchmarking and country level analysis is recommended.

Torrefaction is a promising bioenergy pre-treatment technology, with potential to make a major contribution to the commodification of biomass. However, there is limited scientific knowledge on the techno-economic performance of torrefaction. This study therefore improves available knowledge on torrefaction by providing detailed insights into state of the art prospects of the commercial utilisation of torrefaction technology over time. Focussing on and based on the current status of the compact moving bed reactor, we identify process performance characteristics such as thermal efficiency and mass yield and discuss their determining factors through analysis of mass and energy balances. This study has shown that woody biomass can be torrefied with a thermal and mass efficiency of 94% and 48% respectively (on a dry ash free basis). For straw, the corresponding theoretical energetic efficiency is 96% and mass efficiency is 65%. In the long term, the technical performance of torrefaction processes is expected to improve and energy efficiencies are expected to be at least 97% as optimal torgas use and efficient heat transfer are realised. Short term production costs for woody biomass TOPs (torrefied pellets) are estimated to be between 3.3 and 4.8 US$/GJLHV, falling to 2.1–5.1 US$/GJLHV in the long term. At such cost levels, torrefied pellets would become competitive with traditional pellets. For full commercialisation, torrefaction reactors still require to be optimised. Of importance to torrefaction system performance is the achievement of consistent and homogeneous, fully hydrophobic and stable product, capable of utilising different feedstocks, at desired end-use energy densities.

Torrefaction is a promising bioenergy pre-treatment technology, with potential to make a major contribution to the commodification of biomass. However, there is limited scientific knowledge on the techno-economic performance of torrefaction. This study therefore improves available knowledge on torrefaction by providing detailed insights into state of the art prospects of the commercial utilisation of torrefaction technology over time. Focussing on and based on the current status of the compact moving bed reactor, we identify process performance characteristics such as thermal efficiency and mass yield and discuss their determining factors through analysis of mass and energy balances. This study has shown that woody biomass can be torrefied with a thermal and mass efficiency of 94% and 48% respectively (on a dry ash free basis). For straw, the corresponding theoretical energetic efficiency is 96% and mass efficiency is 65%. In the long term, the technical performance of torrefaction processes is expected to improve and energy efficiencies are expected to be at least 97% as optimal torgas use and efficient heat transfer are realised. Short term production costs for woody biomass TOPs (torrefied pellets) are estimated to be between 3.3 and 4.8 US$/GJLHV, falling to 2.1–5.1 US$/GJLHV in the long term. At such cost levels, torrefied pellets would become competitive with traditional pellets. For full commercialisation, torrefaction reactors still require to be optimised. Of importance to torrefaction system performance is the achievement of consistent and homogeneous, fully hydrophobic and stable product, capable of utilising different feedstocks, at desired end-use energy densities.

The Lower Silurian Longmaxi Formation is an organic-rich (black) mudrock that is widely considered to be a potential shale gas reservoir in the southern Sichuan Basin (the Yangtze plate) in Southwest China. A case study is presented to characterise the shale gas reservoir using a workflow to evaluate its characteristics. A typical characterisation of a gas shale reservoir was determined using basset sample analysis (geochemical, petrographical, mineralogical, and petrophysical) through a series of tests. The results show that the Lower Silurian Longmaxi Formation shale reservoir is characterised by organic geochemistry and mineralogical, petrophysical and gas adsorption. Analysis of the data demonstrates that the reservoir properties of the rock in this region are rich and that the bottom group of the Longmaxi Formation has the greatest potential for gas production due to higher thermal maturity, total organic carbon (TOC) enrichment, better porosity and improved fracture potential. These results will provide a basis for further evaluation of the hydrocarbon potential of the Longmaxi Formation shale in the Sichuan Basin and for identifying areas with exploration potential.

The Lower Silurian Longmaxi Formation is an organic-rich (black) mudrock that is widely considered to be a potential shale gas reservoir in the southern Sichuan Basin (the Yangtze plate) in Southwest China. A case study is presented to characterise the shale gas reservoir using a workflow to evaluate its characteristics. A typical characterisation of a gas shale reservoir was determined using basset sample analysis (geochemical, petrographical, mineralogical, and petrophysical) through a series of tests. The results show that the Lower Silurian Longmaxi Formation shale reservoir is characterised by organic geochemistry and mineralogical, petrophysical and gas adsorption. Analysis of the data demonstrates that the reservoir properties of the rock in this region are rich and that the bottom group of the Longmaxi Formation has the greatest potential for gas production due to higher thermal maturity, total organic carbon (TOC) enrichment, better porosity and improved fracture potential. These results will provide a basis for further evaluation of the hydrocarbon potential of the Longmaxi Formation shale in the Sichuan Basin and for identifying areas with exploration potential.

With the assistance of the LEAP (long-range energy alternatives planning) energy modeling tool, this study explores the energy efficiency and CO2 emission reduction potential of the iron and steel industry in Turkey. With a share of 35%, the steel and iron industry is considered as the most energy-consuming sector in Turkey. The study explores that the energy intensity rate can be lowered by 13%, 38% and 51% in SEI (slow-speed energy efficiency improvement), AEI (accelerating energy efficiency improvement) and CPT (cleaner production and technology scenario) scenarios, respectively. Particularly the projected aggregated energy savings of the scenarios CPT and AES are very promising with saving rates of 33.7% and 23% respectively. Compared to baseline scenarios, energy efficiency improvements correspond to economic potential of 0.1 billion dollars for SEI, 1.25 dollars for AEI and 1.8 billion dollars for CPT scenarios annually. Concerning GHG (greenhouse gas) emissions, in 2030 the iron and steel industry in Turkey is estimated to produce 34.9 MtCO2 in BAU (business-as-usual scenario), 32.5 MtCO2 in SEI, 24.6 MtCO2 in AEI and 14.5 MtCO2 in CPT a scenario which corresponds to savings of 9%–39%. The study reveals that energy consumption and GHG emissions of the iron and steel industry can be lowered significantly if the necessary measures are implemented. It is expected that this study will fill knowledge gaps pertaining to energy efficiency potential in Turkish energy intensive industries and help stakeholders in energy intensive industries to realize the potential for energy efficiency and GHG mitigation.

With the assistance of the LEAP (long-range energy alternatives planning) energy modeling tool, this study explores the energy efficiency and CO2 emission reduction potential of the iron and steel industry in Turkey. With a share of 35%, the steel and iron industry is considered as the most energy-consuming sector in Turkey. The study explores that the energy intensity rate can be lowered by 13%, 38% and 51% in SEI (slow-speed energy efficiency improvement), AEI (accelerating energy efficiency improvement) and CPT (cleaner production and technology scenario) scenarios, respectively. Particularly the projected aggregated energy savings of the scenarios CPT and AES are very promising with saving rates of 33.7% and 23% respectively. Compared to baseline scenarios, energy efficiency improvements correspond to economic potential of 0.1 billion dollars for SEI, 1.25 dollars for AEI and 1.8 billion dollars for CPT scenarios annually. Concerning GHG (greenhouse gas) emissions, in 2030 the iron and steel industry in Turkey is estimated to produce 34.9 MtCO2 in BAU (business-as-usual scenario), 32.5 MtCO2 in SEI, 24.6 MtCO2 in AEI and 14.5 MtCO2 in CPT a scenario which corresponds to savings of 9%–39%. The study reveals that energy consumption and GHG emissions of the iron and steel industry can be lowered significantly if the necessary measures are implemented. It is expected that this study will fill knowledge gaps pertaining to energy efficiency potential in Turkish energy intensive industries and help stakeholders in energy intensive industries to realize the potential for energy efficiency and GHG mitigation.

In 2010, China was responsible for 45% of global steel production, while consuming 15.8EJ of final energy and emitting 1344Mt CO2eq, 8.4Mt of PM (particulate matter) emissions, and 5.3Mt of SO2 emissions. In this paper we analyse the co-benefits of implementing energy efficiency measures that jointly reduce greenhouse gas emissions and air pollutants, in comparison to applying only air pollution control (end-of-pipe technology). For this purpose we construct ECSC (energy conservation supply curves) that contain potentials and costs of energy efficiency measures and implement these in the GAINS (greenhouse gas and air pollution interactions and synergies) model. Findings show that the technical energy saving potential for the Chinese iron and steel industry for 2030 is around 5.7EJ. This is equivalent to 28% of reference energy use in 2030. The emissions mitigation of GHGs (greenhouse gases) and air pollutants in BAEEM_S3 scenario would be reduce 27% CO2eq, 3% of PM, and 22% of SO2, compared to the BL scenario in 2030. Investments and cost savings were calculated for different scenarios, showing that energy efficiency investments will result in significant reductions in air pollution control costs. Hence, Energy efficiency measures should be integrated in air quality policy in China.

In 2010, China was responsible for 45% of global steel production, while consuming 15.8EJ of final energy and emitting 1344Mt CO2eq, 8.4Mt of PM (particulate matter) emissions, and 5.3Mt of SO2 emissions. In this paper we analyse the co-benefits of implementing energy efficiency measures that jointly reduce greenhouse gas emissions and air pollutants, in comparison to applying only air pollution control (end-of-pipe technology). For this purpose we construct ECSC (energy conservation supply curves) that contain potentials and costs of energy efficiency measures and implement these in the GAINS (greenhouse gas and air pollution interactions and synergies) model. Findings show that the technical energy saving potential for the Chinese iron and steel industry for 2030 is around 5.7EJ. This is equivalent to 28% of reference energy use in 2030. The emissions mitigation of GHGs (greenhouse gases) and air pollutants in BAEEM_S3 scenario would be reduce 27% CO2eq, 3% of PM, and 22% of SO2, compared to the BL scenario in 2030. Investments and cost savings were calculated for different scenarios, showing that energy efficiency investments will result in significant reductions in air pollution control costs. Hence, Energy efficiency measures should be integrated in air quality policy in China.