数字化能耗管理是把电力、水、燃气与蒸汽等能源消耗与数字技术结合、实现用能数据实时采集与用能行为可分析的能源管理体系，核心是计量颗粒度细化到设备级与用能异常可定位，能力包括分项计量采集、负荷特征分析、峰谷需量优化与异常用能预警。它解决的是能耗账目只能到楼栋级、浪费来源说不清的问题，并不解决设备本身能耗高与能源供给价格波动的问题。
数字化能耗管理的核心是计量精细和分析，它可以帮助企业实现以下目标：
实现能耗数据的分项计量。电表与流量计下沉到产线与重点设备，电力、用水与蒸汽各自独立采集，能耗账目从楼栋级细化到设备级。
还原每个班次的用能负荷曲线。系统按班次与工序还原负荷形态，识别出设备空转、部分负荷运行这类不易从总量上看出的浪费模式。
优化峰谷时段与需量控制。系统结合生产计划预测负荷曲线，指导设备启停时序避峰，并在需量接近上限时主动削减瞬时负荷以免产生罚费。
建立异常用能的实时预警。夜间突增负荷、空压机长时间空转与管道泄漏等异常在超过阈值时直接告警到责任人，避免小泄漏累积成大浪费。
总之，数字化能耗管理可以帮助企业实现用能数据的全面可视与精细分析，降低单位产品能耗与需量费用，减少设备空转与跑冒滴漏，提升绿色运营水平与资源保障能力。
翻译
Digital energy management is the combination of electricity, water, gas and steam consumption with digital technology to achieve real-time collection of usage data and analyzable consumption behaviour. Its core is metering granularity down to equipment level and locatable anomalies in energy use, with capabilities covering sub-metering collection, load characteristic analysis, peak-valley and demand optimization, and abnormal consumption alerts. It solves the problems of energy accounts only reaching building level and unclear sources of waste, but it does not solve the problems of inherently high equipment energy consumption and fluctuating energy supply prices.
At the heart of digital energy management is precise metering and analysis, which can help companies achieve the following:
Realize sub-metering of energy data. Meters and flow sensors are deployed down to production lines and key equipment, with electricity, water and steam collected independently, refining energy accounts from building level to equipment level.
Restore the energy load curve of every shift. The system reconstructs load patterns by shift and process step, identifying waste patterns such as idle equipment and partial-load operation that are hard to see from aggregate consumption.
Optimize peak-valley periods and demand control. The system predicts load curves from production plans, guides equipment start-stop sequencing to avoid peak tariffs, and proactively sheds momentary load when demand approaches the contracted ceiling to avoid penalty charges.
Establish real-time alerts for abnormal consumption. Nighttime load surges, prolonged idling of compressors and pipeline leaks trigger direct alerts to responsible owners once thresholds are exceeded, preventing small leaks from accumulating into large waste.
In short, digital energy management can help enterprises achieve full visibility and refined analysis of energy data, reduce energy consumption per unit of output and demand charges, cut idle running and dripping losses, and raise the level of green operations and resource assurance.
