In order for solid biofuels to be marketable and accessible to stakeholders (e.g., manufacturers, transhippers and customers), they must strictly meet the rigors of international standards and regulatory agencies regarding quality. On this basis, this study assesses the production of high-performance fuel-flexible woody pellets for heating and power, with the assistance of multivariate statistical process control (MSPC). The operational scenarios of industrially pelletizing pinewood sawdust are POS_I (150 MPa and no pre-heating) and POS_II (250 MPa and no pre-heating) as references, and POS_III (150 MPa and pre-heating) and POS_IV (250 MPa and pre-heating) as alternatives to regularize the workflow on the machine. The stream-monitoring techniques of MSPC are the exponential moving average (EMA) and Hotelling's T². The EMA-Hotelling system accurately tracks non-random errors and predicts the operationally finest scenario for developing high-quality pellets. Pre-heating the compressing channel of the machine regularizes the feeding and thus produces type I pellets (class A₁/A₂, European standard) with excellent bulk density (1227.55 kg m⁻³), durability (98.10%) and hydrophobicity (96.65%), without points outside the specific critical ranges. Clear evidence of improved pellet quality with the assistance of MSPC is found. The high-fidelity concept of MSPC captures the advantages of EMA and Hotelling's T² into an immersive single framework; hence, it can compensate for the potential bias and misinformation-to-information overlapping of outcomes from monitoring latently multivariable flow on classical quality control charts. The major findings and innovations of this study can assist with rolling-out fine-scale pelletization and thus fulfill the increasing global demand for high-quality biofuels.

为了使固体生物燃料能够上市并为利益相关者（例如制造商、转运商和客户）所用，他们必须严格满足国际标准和监管机构对质量的严格要求。在此基础上，本研究在多元统计过程控制 (MSPC) 的帮助下，评估了用于加热和供电的高性能燃料柔性木质颗粒的生产。工业制粒松木锯末的操作场景以POS _I（150 MPa，不预热）和POS _II（250 MPa，不预热）为参考，POS _III（150 MPa，预热）和POS _IV（250 MPa 和预热）作为规范机器工作流程的替代方案。MSPC 的流监控技术是指数移动平均 (EMA) 和 Hotelling's T ²。EMA-Hotelling 系统准确跟踪非随机误差并预测开发高质量颗粒的最佳操作方案。预热机器的压缩通道，使喂料规则化，从而生产出具有优异堆积密度（1227.55 kg m ^-3）的I 型颗粒（A ₁ / A _{2 级}，欧洲标准）)、耐久性 (98.10%) 和疏水性 (96.65%)，没有超出特定临界范围的点。发现了在 MSPC 的帮助下改善颗粒质量的明确证据。MSPC 的高保真概念将 EMA 和 Hotelling 的T ²的优点捕获到一个沉浸式的单一框架中；因此，它可以补偿在经典质量控制图上监测潜在多变量流的结果的潜在偏差和错误信息与信息重叠。这项研究的主要发现和创新可以帮助推出精细规模的造粒，从而满足全球对高质量生物燃料日益增长的需求。