Papermaking! Vol12 Nr1 2026

S.  Hu,  H.  Qi,  Z.  Wang  et  al.

Environmental  Science  and  Ecotechnology  30  (2026)  100682

Therefore,  assessments  of  the  potential  of  solar  power  generation  for  PPPs  must  explicitly  account  for  regional  variations  in  solar  resource  availability  across  plant  locations.  The  annual  total  solar  radiation  at  the  locations  of  PPPs  consistently  exceeded  4000  MJ  m  −  2  year  −  1  (Supplementary  Fig.  S6),  with  most  values  concentrated  between  5000  and  6000  MJ  m  −  2  year  −  1  .  This  distri- bution  indicates  substantial  potential  for  PV  power  generation  across  most  PPP  locations. According  to  the  calculation  framework  described  in  Section  2.6  and  the  GSA  of  potential  CER  due  to  PV  power  generation  (Supplementary  Fig.  S7),  only  the  first-order  and  total  sensitivity  indices  for  PV  panel  length  exceeded  the  0.1  threshold.  Both  were  substantially  higher  than  those  for  all  other  variables.  This  in- dicates  that  panel  length  is  the  dominant  factor  influencing  CER  outcomes.  Accordingly,  we  further  evaluated  the  rooftop  PV power-generation  potential  of  PPPs  across  four  scenarios  repre- senting  different  installation  densities.  In  these  scenarios,  all  model  parameters  were  held  constant,  whereas  the  PV  panel lengths  ( L  p   )  were  set  to  0.5,  1.0,  1.5,  and  2.0  m,  respectively. As  the  panel  length  increased,  the  CER  potential  consistently  declined  across  all  plant  types  (Fig.  8a).  The  greatest  carbon- reduction  benefits  were  observed  when  the  panel  length  was  set  to  0.5  m,  with  some  facilities  achieving  potential  reductions  exceeding  35%.  According  to  this  optimal  scenario,  LPPMPs  and  SPPMPs  had  particularly  high  CER  potential  at  the  individual  level,  with  most  plants  exceeding  20%.  The  CER  potential  of  individual  RFPP  and  HPPMP  plants  was  relatively  low  across  all  scenarios,  generally  below  10%,  and  in  some  plants,  the  potential  approached  0%  for  1.5  and  2.0  m  panel  lengths.

Fig.  6.  Distribution  of  carbon  emissions  from  pulping  and  papermaking  plants  in  China  (2022).  a,  Provincial  distribution  of  carbon  emissions.  b,  Comparison  of  total  carbon  emissions  between  coastal  and  inland  provinces.  c,  Total  carbon  emissions  of  different  plant  types,  showing  the  contribution  of  each  plant  category  to  overall  emissions.  PFPP:  primary  fiber  pulp  plant,  RFPP:  recovered  fiber  pulp  plant,  HPPMP:  heavyweight  paper  product  manufacturing  plant,  SPPMP:  specialty  paper  product  manufacturing  plant,  LPPMP:  lightweight  paper  product  manufacturing  plant.

carbon  emissions.  In  contrast,  nearly  75%  of  PPPs  exhibited  carbon  emissions  below  the  sectoral  average,  suggesting  that  most  oper- ated  with  relatively  low  emission  intensities.  These  findings  un- derscore  the  importance  of  adopting  a  differentiated  approach  to  CER.  While  maintaining  sector-wide  coordination,  regulatory  ef- forts,  and  technical  upgrades  should  be  prioritized  for  a  small  subset  of  high-emission  plants  to  support  more  efficient  and  cost- effective  decarbonization. Fig.  7.  Carbon  emissions  from  pulping  and  papermaking  plants  producing  different  products.  Violin  plots  represent  the  distribution  of  carbon  emissions  for  each  plant,  scattered  points  indicate  individual  data  points,  and  black  circles  indicate  the  median  values.  For  primary  fiber  pulp  plant  (PFPP),  recovered  fiber  pulp  plant  (RFPP),  heavyweight  paper  product  manufacturing  plant  (HPPMP),  lightweight  paper  product  manufacturing  plant  (LPPMP),  and  specialty  paper  product  manufacturing  plant (SPPMP),  the  minimum – maximum  carbon  emissions  were  (4.36 – 450.70)  ×  10  4  , (2.33 – 375.34)  ×  10  4  ,  (0.34 – 202.38)  ×  10  4  ,  (0.32 – 38.48)  ×  10  4  ,  and  (0.30 – 75.84)  ×  10  4  t  CO  2  ,  respectively.

Fig.  8.  Carbon  emission  reduction  potential  under  different  photovoltaic  panel  lengths.  a,  Box  plots  show  the  distribution  of  carbon-emission-reduction  potential  for  different  plant  types  at  varying  photovoltaic  (PV)  panel  lengths.  The  boxes  represent  the  interquartile  range,  the  central  line  indicates  the  median  value,  and  the  error  bars  denote  the  minimum  and  maximum  values.  The  inset  figures  show  magnified  views  of  the  recovered  fiber  pulp  plant  (RFPP)  and  heavyweight  paper  product  manufacturing  plant  (HPPMP)  at  PV  panel  lengths  of  1.5  m  and  2.0  m,  to  better  illustrate  their  differences  in  the  low-value  range.  b,  Total  carbon  emission  reduction  of  different  plant  types  under  different  PV  panel  lengths.  PFPP:  primary  fiber  pulp  plant,  SPPMP:  specialty  paper  product  manufacturing  plant,  LPPMP:  lightweight  pa- per  product  manufacturing  plant.

4.  Results  for  CER  potential  in  the  PPI

China  is  a  vast  country  with  complex  terrain,  resulting  in  sig- nificant  variations  in  solar  energy  resources  across  regions  (Supplementary  Fig.  S5).  In  general,  solar  radiation  levels  are  higher  in  western  regions  than  in  central  and  eastern  regions.

9

Made with FlippingBook interactive PDF creator