Overview Greater Bay Area — OPS & Port Decarbonisation · Q1 2026

Q1 2026
Scope
GBA
3 terminals
Berth Calls
5,501
Q1 2026
Quay Length
23.9 km
SZ + GZ + HK
STS Cranes
341
SZ 166 · GZ 86 · HK 89
CO₂ at Berth
39,347 t
Hotelling, Q1
Avoidable via OPS
13,861 t
▲ 35% of footprint
Fuel-cost Saving
≈ $0.99M
OPS vs MGO, Q1

Emissions at Berth vs OPS Greensee

Baseline hotelling CO₂ split into residual on OPS and the share abatable by shore power · t CO₂e, Q1

Performance Index CPPI-style

Relative rank by average time at berth · 100 = GBA best

Emissions & OPSVessel emissions at berth and Onshore Power Supply abatement · Q1 2026

GBA (all terminals)

Vessel Emissions at Berth vs OPS Savings

Baseline hotelling CO₂ (auxiliary engines + boiler) vs the portion abatable by shore power · tonnes CO₂e
Emissions at berth (hotelling)
39,347 t CO₂e
5,501 calls · 57,478 berth-hours across three terminals
Abatable via OPS (shore power)
13,861 t 35%
45,743 MWh OPS energy potential · est. fuel-cost saving ≈ $0.99M
Hong Kong — largest single opportunity
10,920 t abatable · no OPS infra yet
68% of GBA OPS potential sits at HK, currently exploratory

Why not 100%? — Emissions composition

Baseline split into what OPS avoids, the grid's own carbon for shore power, and the boiler load that cannot be electrified

Footprint Split

GBA — share of Q1 emissions abatable by OPS

Monthly Trend

CO₂: baseline vs OPS-abatable · Jan–Mar 2026

Grid Carbon Intensity

kgCO₂e per kWh · determines how much OPS actually saves

Infrastructure & AssetsQuay length, crane count and berth activity · provided by Greensee

GBA (all terminals)

Quay Length & Crane Count

Shenzhen 7.5 km / 166 · Guangzhou 7.4 km / 86 · Hong Kong 9,005 m (4 terminals) / 89 — HK supplied separately (not SMDG-coded)

Crane Density

STS cranes per 100 m of quay — a proxy for vessel-handling intensity

Berth Activity

Berth calls and average hours alongside · AIS-derived, Q1 2026

TerminalsPer-terminal profiles, ranking and full detail · Q1 2026

GBA (all terminals)

Guangzhou #1

CNNSA · Nansha basins
Quay length7.4 km
STS cranes86
Berth calls358
Avg berth9.07 h
CO₂ at berth1,338 t
Abatable via OPS304 t · 23%
StatusOPS-equipped

Hong Kong #2

HKHKG · Kwai Tsing / Tsing Yi
Quay length9.0 km
STS cranes89
Berth calls4,213
Avg berth10.15 h
CO₂ at berth26,852 t
Abatable via OPS10,920 t · 41%
StatusNo OPS infra

Shenzhen #3

CNSZX · Yantian / Shekou / Mawan
Quay length7.5 km
STS cranes166
Berth calls930
Avg berth12.33 h
CO₂ at berth11,157 t
Abatable via OPS2,637 t · 24%
StatusOPS-equipped

GBA Performance Index — relative CPPI-style proxy

Ranked by average time at berth (less time = better) · 100 = best in the GBA · internal proxy, not the official World Bank CPPI

Terminal Detail

Assets, activity and decarbonisation potential · click a row to focus
RankTerminalCodeQuay (km)Cranes CallsAvg berth (h)CO₂ (t)AvoidableGridOPS Status
#1GuangzhouCNNSA7.4863589.071,338304 t · 23%0.52OPS-equipped
#2Hong KongHKHKG9.0894,21310.1526,85210,920 t · 41%0.37No OPS infra
#3ShenzhenCNSZX7.516693012.3311,1572,637 t · 24%0.52OPS-equipped

Methodology & SourcesHow every metric on this portal is derived

Standards & Accreditations

Emissions accounting follows the GLEC Framework v3.2 (Smart Freight Centre) and ISO 14083 — the international standard for quantifying greenhouse-gas emissions of transport operations. Greensee is a certified Solar Impulse Efficient Solution (2022).

Smart Freight CentreGLEC Framework v3.2
Smart Freight Centre
ISO 14083GHG emissions of
transport operations
Solar Impulse Efficient SolutionSolar Impulse
Efficient Solution · 2022

Emissions at berth (hotelling)

The energy a vessel uses while alongside — lights, HVAC, reefer, pumps — supplied by burning fuel in its auxiliary engines plus its boiler. Derived from AIS movement data on an IMO Fourth GHG Study basis and converted to CO₂e using fuel and grid emission factors. This is the baseline, before any shore-power connection.

Avoidable via OPS (shore power)

Onshore Power Supply replaces the auxiliary-engine share with grid electricity. The saving is net of the grid's own carbon, and the boiler load remains on fuel (boilers are hard to electrify). So the avoidable share is not 100%.

Avoided = auxiliary-engine fuel CO₂ − grid CO₂ for the same energy  ·  % = avoided ÷ baseline berth CO₂

Worked example — Shenzhen: baseline 11,157 t = aux 9,461 t + boiler 1,697 t. On OPS, residual 8,520 t = grid 6,823 t + boiler 1,697 t; avoided = 9,461 − 6,823 = 2,637 t (24%).

Fuel-cost saving

Saving = OPS energy (kWh) × (MGO fuel cost − OPS tariff)

MGO at $720/t and 0.225 kg/kWh ≈ $0.162/kWh. OPS tariffs: Guangdong $0.12/kWh, Hong Kong $0.15/kWh. Applied to each terminal's OPS energy potential.

Grid carbon intensity

China Southern Power Grid (Guangdong) 0.52 kgCO₂e/kWh (CSG 2024 OM); Hong Kong CLP 0.37 (2024); EU-27 average 0.23 shown for context. A cleaner grid means OPS abates more.

Performance Index (relative, CPPI-style)

A relative ranking of the three GBA terminals by average time at berth — the core efficiency axis of the World Bank CPPI (less time = better). Index is relative: 100 = best in the GBA. This is an internal proxy, not the official CPPI; time at berth also partly reflects each terminal's vessel-size mix.

Infrastructure

Quay length and STS crane counts provided by Greensee: Shenzhen 7.5 km / 166, Guangzhou 7.4 km / 86, Hong Kong 9,005 m across 4 terminals / 89. Hong Kong is not SMDG-coded, so supplied separately rather than from the SMDG registry. Crane density = cranes per 100 m of quay.

Data sources & scope

Emissions, OPS potential, berth calls and berth-hours: Greensee AIS-derived dataset (IMO Fourth GHG Study basis), Q1 2026 (Jan–Mar), tonnes CO₂e. Container throughput / TEU metrics are out of scope in this view.

Greensee · GBA OPS & Port Decarbonisation · Q1 2026. Emissions & OPS: AIS-derived energy, IMO Fourth GHG Study basis. Infrastructure and analytics by Greensee. Aligned with the GLEC Framework v3.2 (Smart Freight Centre) & ISO 14083 · Solar Impulse Efficient Solution 2022.