The quality of data determines the success or failure of a project, and standardized operations are the core guarantee.
With the rapid expansion of energy management services in the hospital sector, the quality of data collection in the early stages of a project directly determines the accuracy of energy-saving potential diagnosis, the scientific basis for energy benchmarks, and ultimately the project’s profitability. To ensure that all project teams operate according to standards, this standardized operation guideline has been formulated.
01 Data Collection: Why is it the Lifeline of Project Success?
The quality of data directly affects the value of the project throughout its lifecycle.
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Accurate Energy Benchmark Setting: According to GB/T 24915 standards, energy benchmarks are the core basis for setting energy-saving targets, directly affecting the calculation of management fees.
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Scientific Diagnosis of Energy-Saving Potential: By analyzing the operational efficiency of systems, accurately identify technical transformation paths to ensure the technical feasibility of the project.
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Avoiding Project Operational Risks: Complete historical data can effectively predict energy consumption patterns, avoiding operational risks caused by benchmark deviations.
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Ensuring Credibility of Energy Savings Verification: Measurement and verification schemes that comply with GB/T 28750 standards rely on complete and accurate baseline data.
02 Standardized Framework for Data Collection
Core Data Dimensions and Sources
| Data Category | Collection Content | Data Source | Standard Basis |
|---|---|---|---|
| Energy Consumption Data | Electricity, water, gas, steam, etc., consumption and costs for 36 consecutive months | Energy bills, financial vouchers | JS/T301 Clause 4.3 |
| Equipment Asset Data | Key equipment models, power, energy efficiency ratings, years of operation | Equipment ledger, nameplate information | Asset management regulations |
| System Operation Data | Operating time, load rate, temperature, pressure, and other parameters | Operation logs, automatic control systems | GB/T 2589 standards |
| Business Driver Data | Outpatient volume, inpatient numbers, number of surgeries, building area | Hospital statistical reports | DB35/T 1951 standards |
Key Monitoring Areas of Hospital Energy Systems
HVAC Systems (40%-60% share)
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Chillers: Operating time, cooling capacity, COP value
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Pumps: Operating frequency, flow rate, head
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Cooling Towers: Approach, operating strategy
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End Devices: Usage time, temperature settings
Power Distribution Systems
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Transformers: Load rate, operating temperature
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Power Factor: Monthly average
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Sub-metering: Lighting, power, air conditioning, medical equipment
Special Energy Use Areas
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Operating Rooms, ICU: 24-hour operating parameters
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Data Centers: PUE value, cold aisle temperature
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Large Medical Equipment: Independent metering data
03 Standardized Process for On-Site Execution
Phase One: Preparation Stage (Before Project Commencement)
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Form a Professional Team: Assign HVAC, electrical, and automatic control technical personnel
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Develop a Collection Plan: Define project boundaries, data lists, and responsibilities
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Prepare Tools and Instruments: Calibrate necessary testing equipment to ensure data accuracy
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Client Communication and Coordination: Establish communication channels with hospital logistics, equipment, and information departments
Phase Two: Implementation Stage (On-Site Data Collection)
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Historical Data Collection: Obtain energy bills and cost details for 36 consecutive months
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Equipment Asset Inventory: Establish a complete equipment ledger, marking key parameters
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Operational Data Monitoring: Conduct continuous operational data monitoring for no less than 7 days
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On-Site Inspection Records: Take photos of key equipment and record operational conditions
Phase Three: Verification Stage (Data Quality Control)
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Data Cross-Verification: Compare the consistency of billing data with metering data
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Completeness Check: Ensure no missing months or omitted systems
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Reasonableness Analysis: Identify abnormal data and analyze the causes
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Client Confirmation Signature: Key data must be confirmed in writing by the client
04 Quality Control Key Points and Common Issues
Key Quality Control Nodes
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Data Authenticity: All data must be traceable to original vouchers
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Boundary Consistency: Ensure that the statistical scope completely matches the project boundaries
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Parameter Completeness: Key operational parameters must be fully collected
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Document Standardization: Record according to company template requirements
Common Issues and Solutions
Issue One: Incomplete Historical Data
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Solution: Use the baseline period determination method in JS/T 301 standards to supplement through simulation calculations
Issue Two: Missing Sub-Metering
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Solution: Use temporary metering devices for short-term monitoring, combined with equipment power calculations
Issue Three: Non-standard Operational Records
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Solution: Extract data from the automatic control system, supplemented by on-site manual record verification
05 From Data Collection to Value Creation
Standardized data collection not only supports project development but also lays the groundwork for subsequent:
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Accurate Energy Audits: Conduct in-depth diagnostics based on GB/T 31342 standards
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Scientific Solution Design: Design the optimal technical path based on actual data
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Effective Operational Management: Establish baselines for evaluating energy-saving effects
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Project Financing Support: Provide credible data to support project profitability calculations
The accuracy of every piece of data directly relates to the project’s economic benefits and customer satisfaction. Let us approach the fundamental yet crucial task of project data collection with professionalism and rigor, laying a solid foundation for the company’s professional brand in the field of medical energy management!