Energy Management Platform-SEED-Guolian Green Technology(Wuxi) Joint Stock Co., Ltd.

Energy Management Platform-SEED

The Structure Energy Efficiency Dashboard (SEED) of Johnson Controls is a kind of flexible and efficient energy consumption statistics and analysis software. Based on the energy consumption data collected by the BA system, it uses multi-perspective analyzing method and intuitive graphics to analyze and present energy efficiency of the building and equipment. This way, the customers will have a clear and objective understanding of the energy consumption of the building and equipment, and work out specific energy conserving strategies and schemes, so as to conserve energy.
SEED energy management system of Johnson Controls has the following advantages:

It has flexible system configuration functions. The user may establish his/her equipment management tree according to the characteristics and management of the structures.
The equipment management tree can be divided into different levels, each level bound with specific energy consumption meters (electricity meter, water meter and gas meter).
Energy consumption analysis is closely related to the equipment management tree. All analysis is carried out for the equipment or equipment group selected from the equipment management tree.
The energy consumption meters in the equipment management tree have various attributes. Statistical analysis can also be carried out based on such attributes.
Computers, mobile phones and PAD are all supported, so that the customers may check the energy consumption of the building anytime anywhere.

SEED is used for online intelligent monitoring, management and statistics of actual energy consumption of the building. The tree-type structure is adopted to display the information. The household tree, item tree and household-item tree are shown in all function interfaces all the time. Functions such as real-time acquisition of energy consumption energy, remote transmission, automatic classified statistics, abnormal power consumption alarm, graphic display, report management, data storage and data uploading are integrated to provide data basis for refined management of the building.

The software architecture comprises the following three parts: Windows application, Web application and mobile application. Windows desktop programs and backstage services are adopted for maintenance of data in the database, and for synchronization with ADS/ADX databases. Furthermore, Windows application is responsible for software certification; Web application constitutes the main part of software, and is mainly used for analysis, graphic display and reporting of energy consumption data.

Data Acquisition
Error Diagnosis
System Platform Provides the Following Services for Users

Data Acquisition

Intelligent embedded data collector is used to collect data from the instrument onsite. Data can be collected by automatic regular acquisition or manual real-time acquisition; sampling period of automatic acquisition can be adjusted flexibly; onsite setting and remote setting are both allowed.
Error Diagnosis

The system has a remarkable error diagnosis function. It is able to diagnose various faults in a targeted manner through link diagnosis, instruction diagnosis and data package diagnosis, to help maintenance personnel quickly locate the fault, and distinguish among network transmission fault, data collector fault, single-instrument fault and instrument transmission bus fault.
System Platform Provides the Following Services for Users

Energy Consumption Report

Energy consumption report includes the energy consumption statistics of the equipment and equipment group;

Energy Consumption Raking

It is the ranking of equipment and equipment group by energy consumption;

Energy Consumption Comparison

It is the comparison of equipment or equipment group in terms of energy consumption.

Daily Load Curve

It is the energy consumption curve analysis of a given period of time.

Energy Consumption Ratio

It is the ratio of the energy consumption of the equipment or equipment group to the total energy consumption of all equipment.

Energy Consumption Conversion

The energy consumption of equipment is converted into primary energy, including standard coal, raw coal, crude oil and CO2 emission.

Regression Analysis of Energy Consumption Variable Correlation

The correlation between variables is analyzed. Formula fitting is carried out.

Item-by-item Analysis of Energy Consumption

The analysis of item-by-item energy consumption in the entire project