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Program

Foshan Association
Intelligent Facility Technology

The technology reduces process energy demand and energy losses, and minimizes waste by utilizing automation, digitization, and intelligent technologies to optimize processes through AI. This enhances the quality of production processes, increases the success rate of right first time dyeing, and reduces the proportion of re-dyeing and scrapped products. As a result, it aims to improve production efficiency and reduce carbon emissions per unit of output.

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Solution tier focus

Intelligent Facility Technology focuses on Tier 2.
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Tier 4
Raw material extraction
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Tier 3
Raw material processing
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Tier 2
Material production
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Tier 1
Finished product assembly

Solution maturity level

Pre-seed

Definition:
Solutions that are at a concept level and in the process of evaluating and establishing their impact potential.

Pilot

Definition:
Solutions that are in the process of testing their solution in order to demonstrate a proof of concept.

Model

Definition:
Solutions that are working towards de-risking and reducing known barriers to scale.

Scale

Definition:
Solutions that are commercially viable with a proven go-to-market strategy.
Goal:
Implement the technology to reduce water and energy usage by more intelligent and accurate control of the manufacture process.
Scale
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Current Level
Pre-seed
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Pilot
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Model
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Scale DEFINITION
Solutions that are commercially viable with a proven go-to-market strategy.
swirls graphic blueLEARN MORE ABOUT OUR MATURITY LEVELS
Current Level
Goal Of This Scale Solution
Implement the technology to reduce water and energy usage by more intelligent and accurate control of the manufacture process.
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Pre-seed DEFINITION
Solutions that are at a concept level and in the process of evaluating and establishing their impact potential.
LEARN MORE ABOUT OUR MATURITY LEVELS
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Pilot DEFINITION
Solutions that are in the process of testing their solution in order to demonstrate a proof of concept.
LEARN MORE ABOUT OUR MATURITY LEVELS
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Model DEFINITION
Solutions that are working towards de-risking and reducing known barriers to scale.
LEARN MORE ABOUT OUR MATURITY LEVELS

Location Availability

Currently the deployment is within Guangdong Province, China, and Vietnam.
2
Available regions
20
Sites
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Actual Solution impact

Impact is calculated over the duration of the solution.
What are the different saving types?
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GHG savings
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0.15–0.74
kgCO2e
Average actual savings per kg of production
15-20% Average
Energy savings
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1.91–9.47
MJ
Average actual savings per kg of production
15-20% Average

Financial breakdown

1. The cost of consulting fee and design cost of internal control

2. The cost of devices (computers, server computer network equipment, network cables, etc.)

3. The cost of software

4. The cost of installation

5. Cost of training managers and engineers

6. The cost of maintenance of device and software
Site Investment
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Implementation cost
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18–40
Payback period
Average payback in months
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The average length of time required for an investment by a site to recover it's initial outlay in terms of profits or savings.
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1
tCO₂e =
$1.88
$67 industry average
Payback period
Average actual total investment cost per tCO₂e reduction
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The cost per tonne of CO₂e reduced as a result of the solution(s) over the useful life of each project, including brand and site program contributions, as well as all implementation costs.

Invested COST PER tCO₂e

DISCLAIMER: These are average projected values, average cost and impact ratios will depend on site specific implementation.
What are the different saving types?
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Implementation Plan

The technology focuses on the production of imitation wax printed and dyed fabrics, centering around the theme of building a resource-saving digital factory system for printing and dyeing. Through the overall design of Enterprise Resource Planning and Internet of Things Manufacturing Execution System, key links in energy saving and efficiency enhancement are studied and applied to reduce energy consumption such as electricity, water, steam, and the generation of wastewater.

Based on this, a three-level energy quantification management platform is established, comprehensively constructing an energy-saving KPI control system, effectively mobilizing the enthusiasm of various units to strengthen energy consumption management, and forming a culture of energy conservation among all staff.
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12 - 18 months
Projected project length
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Implementation milestones
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1
Consulting and design
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2
Production and installation
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3
System Testing
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4
Trial Production
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5
Production
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Baofang Case Study

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1 Region
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1 Site
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1 Year

Impact

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GHG saved
147,812
tCO2e
Energy saved
1,794,812
GJ
Water saved
2,495,342
m3

The Challenge

Baofang is focusing on producing wax print imitation fabrics by creating a resource-efficient digital printing and dyeing factory. They use ERP and IoT-based MES systems to improve energy efficiency and reduce electricity, water, steam usage, and wastewater. They've set up a three-level energy management system to monitor and save energy. This system encourages every unit to manage their energy use better and promotes a culture of saving energy throughout the company.
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Solution program growth

Since 2021, Intelligent Facility Technology has been deployed in 20 sites.

20

Sites

2021–2023

Solution providers

Foshan Cleaner Production and Low-carbon Economy Association

Foshan Cleaner Production and Low-carbon Economy Association is a municipal non-profit social organization established in 2014, engaged in green cleaner production; energy, water, & carbon saving; environmental protection; comprehensive utilization of resources; training; research; and technical consulting services.

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Interested in this solution?

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