The Smart Sustainable Accommodation training modules are the teaching materials of the course “Digital Technologies in Residential and Tertiary Buildings”, developed by UNSTPB for the SOHO curriculum. They cover the whole chain from the sensor on the wall to the AI model in the cloud, with hands-on laboratories on real equipment, and are delivered to the partners’ teachers during the intensive training session in Penang, 21\u201325 September 2026. All materials are on the SOHO Moodle platform.<\/p>\n
Where to find the materials.<\/strong> All the training materials are uploaded on the SOHO Moodle platform, moodle.sohoproject.eu<\/a>, as the course Smart Sustainable Accommodation<\/a>, with a copy for each partner university in Malaysia (USM, UTAR), Vietnam (UTE, UD) and Bangladesh (AIUB, JU). Access is granted to the teachers and students enrolled by the partners.<\/p>\n The course is designed for 40 hours (20 hours of lectures and 20 hours of laboratory) plus 14 hours of individual study, for tourism-industry staff, engineers and IT specialists. Every protocol lecture is paired with a laboratory on real hardware \u2013 polling an energy meter over Modbus RTU and through a TCP gateway, commissioning a KNX lighting group with a daylight sensor in ETS, discovering BACnet objects \u2013 and the monitoring lectures use the live data of the UPBGrid platform. The intensive session in Penang (USM, with UTAR) follows a five-day programme: IoT and MQTT, Modbus and field devices, smart monitoring from the meter to the decision, smart lighting with KNX and DALI, building management systems and BACnet. Assessment: two online course tests (40 %), two laboratory tests (40 %) and an oral project (20 %).<\/p>\nThe materials<\/h3>\n
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\n Presentation<\/th>\n Slides<\/th>\n What it covers<\/th>\n<\/tr>\n \n The digital building<\/td>\n 50<\/td>\n What makes a building digital; the EU context (40 % of final energy, EPBD 2024\/1275 Art. 13 BACS functions, Smart Readiness Indicator); the five-level reference architecture from field to cloud (EN ISO 16484), BAC classes A\u2013D of EN ISO 52120-1; anatomy of a building-data platform (ingest \u2013 store \u2013 model \u2013 analyse \u2013 present), semantic models (Brick, Haystack, ASHRAE 223P, IFC), digital shadow and digital twin, edge vs cloud, tender clauses and KPIs.<\/td>\n<\/tr>\n \n Smart buildings for people \u2013 comfort, standards and best practices<\/td>\n 45<\/td>\n Thermal comfort (PMV\/PPD, operative temperature, adaptive model and its evidence in tropical climates \u2013 Da Nang, Dhaka, Penang), indoor air quality (EN 16798-1 ventilation rates, CO\u2082 as a tracer, WHO guidelines), light (EN 12464-1:2021) and acoustics (ISO 3382-3); measurement protocol of ISO 7726, post-occupancy evaluation and the typical design failures in hotels.<\/td>\n<\/tr>\n \n Smart lighting \u2013 KNX and DALI<\/td>\n 65<\/td>\n Lighting requirements and the LENI energy indicator (EN 15193-1) with a worked office example; the KNX bus (EN 50090 \/ ISO 14543): TP1 physics, areas, lines and couplers, individual and group addresses, telegram, datapoint types, KNXnet\/IP and KNX Secure; DALI (IEC 62386): short addresses, groups, scenes, logarithmic dimming curve, DALI-2, D4i, emergency and colour device types; KNX\u2013DALI gateways and a hotel worked example; commissioning demo in ETS.<\/td>\n<\/tr>\n \n Modbus RTU and TCP<\/td>\n 54<\/td>\n The protocol of meters and drives: RS-485 two-wire bus, 11-bit characters, 3.5-character framing, PDU\/ADU, CRC; the four data tables and function codes 1\u20136, 15, 16, 23; exception codes; timing and a polling budget for 30 meters; Modbus TCP with the MBAP header on port 502 and its lack of security; laboratory: WAGO PFC200 client reading an Eastron SDM230 meter, byte-level decoding of FC04, IEEE 754 word order, e!COCKPIT (IEC 61131) programming; commissioning checklist.<\/td>\n<\/tr>\n \n BACnet<\/td>\n 57<\/td>\n ASHRAE 135 \/ ISO 16484-5: the collapsed four-layer stack and data links (BACnet\/IP, MS\/TP, BACnet\/SC); the object model \u2013 Device, objects, properties, Object_Identifier, unique device instances; services \u2013 ReadProperty, WriteProperty, Who-Is\/I-Am, SubscribeCOV, alarms, priority array, Schedule and Trend Log; MS\/TP token passing, MAC addressing, termination; BACnet\/IP with BBMD; BACnet Secure Connect (TLS 1.3, hub); BIBBs, profiles, PICS and BTL; troubleshooting checklist.<\/td>\n<\/tr>\n \n IoT for buildings \u2013 the manager’s view<\/td>\n 43<\/td>\n The business case of IoT in hotels (energy \u2248 6 % of OPEX, 10\u201330 % guest-room HVAC savings); four-layer IoT architecture, BMS vs IoT overlay; use cases: occupancy-based setback, sub-metering, predictive maintenance, housekeeping and guest apps, CO\u2082-driven ventilation; connectivity (Zigbee, Thread, BLE, LoRaWAN, NB-IoT, Wi-Fi), MQTT broker and topics, edge gateway; ten-year TCO, vendor lock-in, tender questions, GDPR and cybersecurity (CRA, RED).<\/td>\n<\/tr>\n \n Energy monitoring platforms for buildings<\/td>\n 51<\/td>\n What to measure (21 quantities of a network analyser, power quality per EN 50160); an eight-layer architecture: meters \u2192 Modbus RTU\/TCP, M-Bus \u2192 WAGO PFC200 gateway \u2192 MQTT (Mosquitto) \u2192 Python ingestion \u2192 TimescaleDB \u2192 FastAPI \u2192 Grafana\/Chart.js dashboards; case study UPBGrid (upbgrid.ro): 29 Schrack NA96 analysers on the UNSTPB campus, the Passive House with PV, battery and Victron inverter; data-completeness metrics, monthly reports, costs per point; the maturity ladder measure \u2192 understand \u2192 control \u2192 flexibility.<\/td>\n<\/tr>\n \n AI in the intelligent building<\/td>\n 33<\/td>\n The four levels from field to data & AI and the EPBD road map 2024\u20132030; data quality at the field level and edge AI (people counting, NILM); DDC\/PLC controllers and the BACnet priority array as the safe write path for an optimiser; semantic tagging; use cases with evidence: load and PV forecasting (gradient boosting, LSTM), fault detection and diagnostics (ASHRAE RP-1312, 5\u201315 % HVAC savings), model-predictive control vs reinforcement learning, occupancy-driven setpoints, energy flexibility, LLM copilots for operators; implementation ladder, risks and standards (IEC 62443, GDPR).<\/td>\n<\/tr>\n<\/table>\n Teaching approach<\/h3>\n
About this deliverable<\/h3>\n
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\n Deliverable<\/strong><\/td>\n D3.2 \u2013 Smart Sustainable Accommodation training modules<\/td>\n<\/tr>\n \n Work package<\/strong><\/td>\n WP3 \u2013 Development of training materials<\/td>\n<\/tr>\n \n Lead partner<\/strong><\/td>\n UNSTPB \u2013 National University of Science and Technology POLITEHNICA Bucharest (Assoc. Prof. Vladimir Tanasiev)<\/td>\n<\/tr>\n \n Related curriculum<\/strong><\/td>\n D2.2 \u2013 Training curriculum<\/a>, Module 2<\/td>\n<\/tr>\n \n Delivery<\/strong><\/td>\n Intensive training session, Universiti Sains Malaysia, Penang, 21\u201325 September 2026<\/td>\n<\/tr>\n \n Platform<\/strong><\/td>\n moodle.sohoproject.eu \u2013 Smart Sustainable Accommodation<\/a><\/td>\n<\/tr>\n<\/table>\n