安科瑞 陳聰

 Application of energy consumption system in chain catering industry in Malaysia

1.背景信息 Background

針對連鎖餐飲業能耗高且能源管理不合理的問題，利用計算機網絡技術、通訊技術、計量控制技術等信息化技術，實現能源資源分類分項計量和能源資源運行監管功能，清晰描述各分店總的用能現狀；實時監測各供電回路的電壓、電流和功率等電力參數，識別有效負荷與無效能耗，從而可通過技術實現合理節能。

Aiming at the problems of high energy consumption and unreasonable energy management in the chain catering industry, information technologies such as computer network technology, communication technology and measurement and control technology are used to realize the function of energy resource classification and sub-metering and energy resource operation supervision, and clearly describe the overall energy use status of each branch.

Real-time monitoring of the voltage, current, power and other power parameters of each power supply circuit to identify the effective load and invalid energy consumption, so as to achieve effective energy-saving through technology.

2.項目信息 Project Information

本項目為Abbaco Controls Sdn Bhd針對本地連鎖餐飲業50個分店，共200個用電回路進行能耗信息采集，希望通過安科瑞能耗系統解決基礎能耗數據的智能化、自動化、可視化、可量化的收集與存儲，從而降低能源使用費用。

This project is designed for Abbaco Controls Sdn Bhd to collect energy consumption information for a total of 200 electrical circuits in 50 branches of the local chain catering industry. It hopes to solve the intelligent, automatic, visual and quantifiable collection and storage of basic energy consumption data through Acrel Energy Consumption system, so as to reduce the energy use cost.

3.系統架構 Structure

安科瑞Acrel-5000能耗分析管理系統以工作站主機、通訊設備、測控單元為基本工具，為大型公共建筑的實時數據采集及遠程管理提供了基礎平臺，它可以和其他樓宇自動化系統進行數據轉發構成復雜的監控系統。該能耗系統主要采用分層分布式計算機網絡結構，如系統結構圖所示：

Acrel-5000 energy consumption analysis and management system takes workstation host machine, communication equipment and measurement and control unit as basic tools, and provides a basic platform for real-time data collection and remote management of large public buildings. It can transmit data with other building automation systems to form a complex monitoring system.

The energy consumption system mainly adopts the layered distributed computer network structure, as follows:

4.主要功能 Main Function

4.1能耗綜合主界面 Platform Overview

通過系統主界面可以反映各分店用能各分類能耗和折算為標準煤的綜合能耗，并計算單位面積能耗。

The main interface of the system can reflect the energy consumption of each branch and the comprehensive energy consumption converted into standard coal, and calculate the energy consumption per unit area.

4.2分項用電數據統計 Itemized electricity consumption data statistics

將電耗進行逐時、逐日、逐月、逐年統計。統計數據采用餅圖、柱狀圖、線圖、區域圖等各種圖形展示方式，直觀反映各項統計數據的數值、趨勢和分布情況。

The system makes hourly, daily, month-by-month and year-by-year statistics of power consumption.The statistical data are presented by pie chart, bar chart, line chart, area chart and other graphics, which can directly reflect the value, trend and distribution of various statistical data.

4.3用電支路趨勢分析 Trend analysis of branch circuit 

統計各區域、各設備電能消耗，準確定位用電消耗回路，制定節能績效考核制度，推動節能降耗的合理執行。為用能設備建立運行記錄檔案，長期跟蹤記錄設備運行過程中的能效分析評估結果，結合設備維護保養記錄，為設備的運行維護提供依據。

Make statistics on the power consumption of each region and equipment, accurately locate the power consumption circuit, formulate the performance appraisal system of energy conservation, and promote the effective implementation of energy conservation and consumption reduction.

In order to establish operation record files for energy-using equipment, track and record the energy efficiency analysis and evaluation results in the operation process of the equipment for a long time, and provide basis for the operation and maintenance of the equipment in combination with the equipment maintenance record.

4.4能耗數據同環比分析 Comparative analysis of energy consumption data

將各種類型和各主要耗能設備的能耗與去年同期值和上月值進行同比環比分析，檢驗節能效果，根據分析結果執行節能績效考核，以及節能目標的修正。

The energy consumption of various types and major energy-consuming equipment was analyzed on a year-on-year basis with the values of the same period last year and the values of the last month, and the energy-saving effect was tested. According to the analysis results, the energy-saving performance assessment was carried out and the energy-saving target was revised.

4.5能耗數據分時統計 Time-division statistics of energy consumption data

將能源類型、負載類型、區域能耗按照時間區分，按時、天、月、年、工作日、非工作日等對用能數據進行對比分析，掌握能源具體消耗情況。可將每天用能按時段設置峰、平、谷，統計各時段能耗，降低閑時能耗。

Classify the energy type, load type and regional energy consumption according to time, and compare and analyze the energy data on time, day, month, year, working day and non-working day, so as to grasp the specific energy consumption.Peak, level and valley can be set in the time period of daily energy use, and energy consumption of each period can be counted to reduce energy consumption in idle time.

4.6電能數據實時監測和預警 Real-time monitoring and early warning of electric power data

通過高精度智能儀表以技術手段實現自動化全實時、高密度的實時用能監測，減少用能的計量誤差。實時監視現場儀表的回傳數據，對電能進行合理的管控和預警，及時發現并改正運行中存在的用電異常，隨時處理。按需設置重要設備的超標預警值，超標時醒目提醒并主動記錄。

Automatic real-time and high-density real-time energy-using monitoring can be realized by high-precision intelligent instrument with technical means to reduce the measurement error of energy-using.

Monitor the back data of the field instruments in real time, control and warn the electric energy reasonably, find and correct the abnormal electricity in the operation in time, and deal with it at any time.

The warning value of exceeding the standard of important equipment is set as required. When exceeding the standard, it should be reminded and recorded actively.

5.項目小結 Project summary

能耗管理系統的應用，不但能減輕相關人員的工作負擔，提高工作效率，而且直觀的統計分析結果更能合理地幫助管理者根據能耗能源損耗情況，做出正確的分析，對提高公共建筑能耗系統的利用率，實現建筑能耗系統的功能具有重要意義。

Application of energy management system can not only reduce the workload of relevant personnel, improve the work efficiency, and statistical analysis of intuitive results can help managers more effectively according to the energy consumption of the energy loss situation, the analysis properly, to improve the utilization rate of public building energy consumption system, realize the functions of the system of building energy consumption is of great significance.

參考文獻 Bibliography

1、Technical requirements of the Ministry of Housing and Urban-Rural Development [2008] No. 114.

2、Solutions for enterprise micro-grid system