May 2021 – Spatial irradiance estimation in a thermosolar power plant by a mobile robot sensor network

Spatial irradiance estimation in a thermosolar power plant by a mobile robot sensor network Javier García Martin, José M. Maestre, and Eduardo F. Camacho. Abstract An algorithm for mapping Direct Normal Irradiance (DNI) in thermosolar power plants using a Mobile Robotic Sensor Network (RSN) is presented. The algorithm selects measurement spots and allocates the RSN…

May 2021 – Event-MILP-Based Task Allocation for Heterogeneous Robotic Sensor Network for Thermosolar Plants

Event-MILP-Based Task Allocation for Heterogeneous Robotic Sensor Network for Thermosolar Plants Javier Garcia Martin, Ramon A. García, Eduardo F. Camacho Department of Ingeniería de Sistemas y Automática, Universidad de Sevilla, Seville, Spain Abstract In this paper, an event-Mixed Integer Linear Programming (MILP)-based algorithm is proposed to solve the task allocation problem in a Robotic Sensor…

August 2021 – MPC based on deep learning

Model predictive control based on deep learning for solar parabolic-trough plants Sara Ruiz-Moreno, José Ramón D.Frejo, Eduardo F.Camacho  Abstract: In solar parabolic-trough plants, the use of Model Predictive Control (MPC) increases the output thermal power. However, MPC has the disadvantage of a high computational demand that hinders its application to some processes. This work proposes…

October 2021 – Market-based clustering of MPC

Market-based clustering of model predictive controllers for maximizing collected energy by parabolic-trough solar collector fields  Eva Masero, José M. Maestre, and Eduardo F. Camacho  Department of Ingeniería de Sistemas y Automática, Universidad de Sevilla, Seville, Spain  Abstract This article focuses on maximizing the thermal energy collected by parabolic-trough solar collector fields to increase the production of the plant. To this end, we propose…