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Ara es mostren els items 22-32 de 32

    • Optimal control of energy hub systems by use of SQP algorithm and energy prediction 

      Kampouropoulos, Konstantinos; Sala Cardoso, Enric; Andrade, Fabio; Romeral Martínez, José Luis (2014)
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      This paper presents an energy optimization methodology applied on industrial plants with multiple energy carriers. The methodology combines an adaptive neuro-fuzzy inference system to calculate the short-term load forecasting ...

    • Predictive chiller operation: a data-driven loading and scheduling approach 

      Sala Cardoso, Enric; Delgado Prieto, Miquel; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2019-01-01)
      Article
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      The proper sequencing and optimal loading of chillers is one of the major avenues for energy efficiency improvement in existing heating, ventilating and air conditioning installations. The main enabler for the success of ...

    • Quantitative and qualitative risk-informed energy investment for industrial companies 

      Urbano González, Eva María; Martínez Viol, Víctor; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (Elsevier, 2023-12)
      Article
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      In the ongoing energy transition, small and medium-sized industrial companies are making energy equipment investments due to the obsolescence of their current equipment as well as social, political and market pressures. ...

    • Risk assessment of energy investment in the industrial framework – Uncertainty and Sensitivity analysis for energy design and operation optimisation 

      Urbano González, Eva María; Martínez Viol, Víctor; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2021-09)
      Article
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      The industry is a crucial actor towards the energy transition with the possibility to adopt new energy strategies including a prosumer model. However, industries are struggling to adopt smart energy approaches, and initiatives ...

    • Short-Term load forecasting using cartesian genetic programming: an efficient evolutive strategy case: Australian electricity market 

      Giacometto Torres, Francisco; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2015)
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      Currently, the Cartesian Genetic Programming approaches applied to regression problems tackle the evolutive strategy from a static point of view. They are confident on the evolving capacity ...

    • Smart multi-model approach based on adaptive neuro-fuzzy inference systems and genetic algorithms 

      Sala Cardoso, Enric; Kampouropoulos, Konstantinos; Giacometto Torres, Francisco; Romeral Martínez, José Luis (2014)
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      A model of power demand represents the foundation of any intelligent Energy Management System, and its accuracy is the key factor determining the performance of such system. In order to improve the accuracy of the modeling ...

    • Stability analysis of a microgrid system based on inverter-interfaced distributed generators 

      Andrade Rengifo, Fabio; Kampouropoulos, Konstantinos; Cusidó Roura, Jordi; Romeral Martínez, José Luis (2013)
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      This paper presents a phase-plane trajectory analysis and the appliance of Lyapunov´s methodology to evaluate the stability limits of a small signal model of a Microgrid system. The work done is based on a non-linear tool ...

    • Study of large-signal stability of an inverter-based generator using a Lyapunov function 

      Andrade, Fabio; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis; Vasquez Quintero, Juan Carlos; Guerrero, Josep M. (2014)
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      This document analyses the large-signal stability for an inverter-based generator such as photovoltaic and wind power sources. The objective of this study is to determine the stability region taking into account the ...

    • Supervision and fault detection system for photovoltaic installations based on classification algorithms 

      Castellà Rodil, Marc; Kampouropoulos, Konstantinos; Urbano González, Eva María; Romeral Martínez, José Luis (2020)
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      This article presents a methodology for the supervision and fault detection on photovoltaic installation, through the information gathered by their SCADA system. The proposed methodology consists of the use of a multi-clustering ...

    • Support vector machine based novelty detection and FDD framework applied to building AHU systems 

      Martínez Viol, Víctor; Martínez Viol, Víctor; Urbano González, Eva María; Urbano González, Eva María; Kampouropoulos, Konstantinos; Kampouropoulos, Konstantinos; Delgado Prieto, Miquel; Delgado Prieto, Miquel; Romeral Martínez, José Luis; Romeral Martínez, José Luis (Institute of Electrical and Electronics Engineers (IEEE), 2020)
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      The increasing energy consumption of heating, ventilation and air conditioning (HVAC) systems is one of the main concerns in the building sector. Fault detection technologies are now indispensable for energy efficiency and ...

    • Uncertainty analysis for industries investing in energy equipment and renewable energy sources 

      Urbano González, Eva María; González Abreu, Artvin Darién; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2021)
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      This paper studies the optimal design and operation of new energy equipment including renewable energy sources for prosumer industries. In order to augment the interest of industries in performing energy actions, the ...