As one part of our cloud service menu in support of building and factory administration, we have developed and offer a service providing optimal heat source operation. The service is designed to assist the daily work of the facility operators who control the heat source system. We describe various functions for demand forecasting, optimization of heat source operation, cloud-linked control of the number of operating heat source units, addition of comments to items on the screen, and more. In addition, we provide a brief overview of the optimization calculations and technology that we utilize.
2. An Online Anomaly Detection System Supporting Batch-Process Operator Decision-Making
Takehiro Suzuki, Junya Nishiguchi
In recent years, the need for automatic supervision through the use of process data has increased. In this paper we propose multivariate time-series shape analysis (MTSA) modeling, which allows an entire process to be modeled without the detailed konwledge of the process that is conventionally required. This technique is particularly intended for batch processes whose operation control is complicated.
With the use of this technique, processes can be automatically monitored, and any detected deviations of process variables, as well as correlations among variables, can be presented in an intutive, easy-to-understand format. Combining this information with their own knowledge, operators are able to analyze the root cause of anomalies and take action at an early stage.
3. A New Environmental Control System Responsive to the Preferences of All Building Occupants
Yasuhito Omagari, Jun Mizutaka, Ryota Dazai, Suguru Ito
We have created an indoor environment control system that can collect the temperature preferences of every person in the environment and modify the HVAC settings appropriately. In this paper we describe the installation of the system in an office building, analyze occupants' use of it, and present the results of questionnaires. Over 90 % occupants found this system of air conditioning to be acceptable. Since the number of conflicting temperature reports (I feel hot / I feel cold) by an occupant within 30 minutes of an initial report was very small, we conclude that the occupants accepted our method (later comes has the priority) of responding to temperature preferences.
4. Natural Gas Measurement Using Temperature-Dependent Thermal Conductivity
Ryuuichi Hamaguchi
Natural gas has drawn attention in recent years due to the increasing diversification of the energy supply and interest in preserving the environment. As a result, there is a growing need to understand various indicators (of calorific value, etc) of natural gas and LNG, which change depending on the gas composition. To meet this need, we have developed a natural gas calorimeter which can output a fuel's Wobbe index, methane number, density, etc., as well as its calorific value. We offer different models depending on the type of output required. In this paper we describe the natural gas measurement technology adopted for our calorimeter, temperature-dependent thermal conductivity.
5. Development of a Demand-Response System and Its Application to a Virtual-Power-Plant Construction Demonstration Project
Mizu Nakamura, Kana Mizutani
The demand response method of regulating demand in conformity to the available supply of electric power began to gain attention in the wake of the tight electric power supply situation after the Great East Japan Earthquake. Japan's Ministry of Economy, Trade and Industry imitated demonstration projects related to demand response, and Azbil has developed an automated demand response (herein after ADR) system.
This paper introduces the system and describes our virtual power plant construction demonstration project, which has been ongoing since 2016.
