Browsing by Author "Lopez-Guede, Jose Manuel"
Now showing 1 - 4 of 4
Results Per Page
Sort Options
Item Challenges of digital industrial furnaces for energy efficiency using syngas from biomass(2018) González-González, Asier; Antolín-Urbaneja, Juan Carlos; Lopez-Guede, Jose Manuel; Tecnalia Research & InnovationIndustrial furnaces, as part of intensive industries, are facing new challenges to increase the efficiency, reliability and flexibility of their processes. They require a considerable amount of energy to accomplish heating and melting processes. Thus, multiple types of research have been focused on the optimisation of the energy consumption to address radical improvements in the competitiveness and energy, environmental, and cost performances at the system level. Furthermore, from a renewable energy perspective, a progressive substitution of natural gas by syngas from gasified biomass require an optimal monitoring and control system to regulate new burners as well as, an appropriate adaptation of existing ones. The use of syngas derived from biomass is not a widespread practice in industrial furnace scenarios. Therefore, this paper shows a brief review of creating a digital pre-heating industrial furnace, addressed from the perspective of monitoring and control system. Also, a precise analytical model divided into four primary sections is proposed: (i) burners system, (ii) isolation structure, (iii) energy recovery system, and (iv) load to be pre-heating. These models provide the foundation for a future hybrid models development to achieve higher efficiency levels using an accurate parametrisation of operational process variables, and a precise maintenance operation strategy. Finally, a broad discussion is exposed.Item Decoupling between human development and energy consumption within footprint accounts(2018-11-20) Akizu-Gardoki, Ortzi; Bueno, Gorka; Wiedmann, Thomas; Lopez-Guede, Jose Manuel; Arto, Iñaki; Hernandez, Patxi; Moran, Daniel; PLANIFICACIÓN ENERGÉTICAHistorically, the growth of energy consumption has fuelled human development, but this approach is no longer socially and environmentally sustainable. Recent analyses suggest that some individual countries have responded to this issue successfully by decoupling Total Primary Energy Supply from human development increase. However, globalisation and international trade have allowed high-income countries to outsource industrial production to lower income countries, thereby increasingly relying on foreign energy use to satisfy their own consumption of goods and services. Accounting for the import of embodied energy in goods and services, this study proposes an alternative estimation of the Decoupling Index based on the Total Primary Energy Footprint rather than Total Primary Energy Supply. An analysis of 126 countries over the years 2000–2014 demonstrates that previous studies based on energy supply highly overestimated decoupling. Footprint-based results, on the other hand, show an overall decrease of the Decoupling Index for most countries (93 out of 126). There is a reduction of the number of both absolutely decoupled countries (from 40 to 27) and relatively decoupled countries (from 29 to 17), and an increase of coupled countries (from 55 to 80). Furthermore, the study shows that decoupling is not a phenomenon characterising only high-income countries due to improvements in energy efficiency, but is also occurring in countries with low Human Development Index and low energy consumption. Finally, six exemplary countries have been identified, which were able to maintain a continuous decoupling trend. From these exemplary countries, lessons have been identified in order to boost the necessary global decoupling of energy consumption and achieved welfare.Item Digital industrial furnaces: Challenges for energy efficiency under VULKANO project(2018) Antolín-Urbaneja, Juan Carlos; González-González, Asier; Lopez-Guede, Jose Manuel; López De Ipiña, Jesús; Tecnalia Research & InnovationUnder intensive industry, industrial furnaces must cope with new challenges to improve the efficiency, reliability and flexibility of their processes. As they need a great amount of energy to achieve the temperature required for heating and melting processes, many researchers have been focused on the minimization of the energy consumption. This energy optimization implies improvements, not only in the competitiveness, but also in environmental and cost performances of the process. This paper shows briefly the challenges for industrial furnaces under VULKANO project focused on the development of five approaches from the point of view of efficiency, flexibility, reliability and safety: improving refractories, investigating new recovery systems based on PCM, using alternative fuels, integrating advanced monitoring and control devices and, finally, developing a holistic tool to help the operator to make decisions. Besides, this paper describes the creation of a digital industrial furnace, regarding to digital twin term. Therefore, an analytical model comprising the burners system, the isolation structure, an energy recovery system, and the load to be heated is described. Each individual model provides the base for the development of future hybrid models, accurately parametrized through process variables, used to investigate the efficiency optimization and provide precise maintenance operation strategies.Item Longitudinal wind speed time series generation to wind turbine controllers tuning(2018-12-15) González-González, Asier; Lopez-Guede, Jose Manuel; IAAlthough there are a wide variety of applications that require wind speed time series (WSTS), this paper emphases on WSTS to be used into wind turbine controllers tuning. These simulations involve several WSTS to perform a proper assessment. These WSTS must assure realistic wind speed variations such as wind gusts and include some rare events such as extreme wind situations. The architecture proposed to generate this WSTS is based on autoregressive models with certain post-processing. The methodology used is entirely described by precise notation as well as it is parametrized by means of data gathered from a weather station. Two main different simulations are performed and assessment; the first simulation is fed by weather data with high wind speed and great variability. The second simulation, on the opposite, use calm wind speed as a data source.