Integration and Verification of PLUG-N-HARVEST ICT Platform for Intelligent Management of Buildings

Christos Korkas, Asimina Dimara, Iakovos Michailidis, Stelios Krinidis, Rafael Marin-Perez, Ana Isabel Martínez García, Antonio Skarmeta, Konstantinos Kitsikoudis, Elias Kosmatopoulos, Christos-Nikolaos Anagnostopoulos and Dimitrios Tzovaras
Additional contact information
Christos Korkas: Centre for Research and Technology Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece
Asimina Dimara: Centre for Research and Technology Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece
Iakovos Michailidis: Centre for Research and Technology Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece
Stelios Krinidis: Centre for Research and Technology Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece
Rafael Marin-Perez: Department of Research and Innovation, Odin Solutions, 30820 Murcia, Spain
Ana Isabel Martínez García: Grupo ETRA, 46014 Valencia, Spain
Antonio Skarmeta: Department of Research and Innovation, Odin Solutions, 30820 Murcia, Spain
Konstantinos Kitsikoudis: Centre for Research and Technology Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece
Elias Kosmatopoulos: Centre for Research and Technology Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece
Christos-Nikolaos Anagnostopoulos: Intelligent Systems Lab, Department of Cultural Technology and Communication, University of the Aegean, 81100 Mytilene, Greece
Dimitrios Tzovaras: Centre for Research and Technology Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece

Energies, 2022, vol. 15, issue 7, 1-24

Abstract: THe energy-efficient operation of microgrids—a localized grouping of consuming loads (domestic appliances, EVs, etc.) with distributed energy sources such as solar photovoltaic panels—suggests the deployment of Energy Management Systems (EMSs) that enable the actuation of controllable microgrid loads coupled with Artificial Intelligence (AI) tools. Such tools are capable of optimizing the aggregated performance of the microgrid in an automated manner, based on an extensive network of Advanced Metering Infrastructure (AMI). Modular adaptable/dynamic building envelope (ADBE) solutions have been proven an effective solution—exploiting free façade areas instead of roof areas—for extending the thermal inertia and energy harvesting capacity in existing buildings of different nature (residential, commercial, industrial, etc.). This study presents the PLUG-N-HARVEST holistic workflow towards the delivery of an automatically controllable microgrid integrating active ADBE technologies (e.g., PVs, HVACs). The digital platform comprises cloud AI services and functionalities for energy-efficient management, data healing/cleansing, flexibility forecasting, and the security-by-design IoT to efficiently optimize the overall performance in near-zero energy buildings and microgrids. The current study presents the effective design and necessary digital integration steps towards the PLUG-N-HARVEST ICT platform alongside real-life verification test results, validating the performance of the platform.

Keywords: digital platform architecture; energy efficiency; artificial intelligence; adaptable dynamic façade microgrids; IoT building automation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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