Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
CLOUD-BASED ENERGY MONITORING AND SIMULATION IOT PLATFORM
Nowadays, most organizations that aim to optimize their energy consumption are experiencing a lack of Business Intelligence (BI) solutions for supporting their decision-making process in order to implement viable enterprise systems for energy-efficiency. BI technologies can include data storage, querying, data processing, rule-based simulation, and advanced visualization capabilities, including processing data from the Internet of Things (IoT) monitoring platforms. Thus, most of companies face different challenges in monitoring the energy consumption inside buildings since each company has to face an unique combination of factors which needs to be properly evaluated. Another degree of complexity is added if the company uses energy production solutions since the reliability of the investment is influenced by the energy demand of the company, changes in the consumption patterns, local weather conditions and unforeseen costs related to the exploitation of the equipment. This paper provides an example of a Cloud-based BI energy monitoring and simulation platform which aims to help organizations monitor and forecast the energy production and consumption within a building and to simulate the economic efficiency for multiple investment scenarios. Also, it presents an overview on the Verbund device, which was used to measurethe power consumption inside the building, and MQTT (Message Queuing Telemetry Transport) protocol which was used to collect the data from the device and to display data in the Grafana dashboard
CLOUD-BASED ENERGY MONITORING AND SIMULATION IOT PLATFORM
Nowadays, most organizations that aim to optimize their energy consumption are experiencing a lack of Business Intelligence (BI) solutions for supporting their decision-making process in order to implement viable enterprise systems for energy-efficiency. BI technologies can include data storage, querying, data processing, rule-based simulation, and advanced visualization capabilities, including processing data from the Internet of Things (IoT) monitoring platforms. Thus, most of companies face different challenges in monitoring the energy consumption inside buildings since each company has to face an unique combination of factors which needs to be properly evaluated. Another degree of complexity is added if the company uses energy production solutions since the reliability of the investment is influenced by the energy demand of the company, changes in the consumption patterns, local weather conditions and unforeseen costs related to the exploitation of the equipment. This paper provides an example of a Cloud-based BI energy monitoring and simulation platform which aims to help organizations monitor and forecast the energy production and consumption within a building and to simulate the economic efficiency for multiple investment scenarios. Also, it presents an overview on the Verbund device, which was used to measurethe power consumption inside the building, and MQTT (Message Queuing Telemetry Transport) protocol which was used to collect the data from the device and to display data in the Grafana dashboard
CLOUD-BASED ENERGY MONITORING AND SIMULATION IOT PLATFORM
George SUCIU (Autor:in) / Lucian NECULA (Autor:in) / Ioana ROGOJANU (Autor:in)
01.06.2019
oai:zenodo.org:3941673
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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