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UNLOCKING GLOBAL EMISSION REDUCTION CREDIT


Guidance for Countries in Assessing ERC Projects


1. Introduction to Emission Reduction Credits

 The World Bank's Emission Reduction Program

 Emission Reduction Credits

Classification of Emissions Reduction Credit

 Policy Context of Emissions Reduction Credit

2. Objective of the Guidance for Countries in Assessing ERC Projects

 Objective of Project Preparation Guidelines

 Introduction to the Project Assessment Framework

 Process to Conducting Assessments

3. Determining Country Inputs

 S1: Green Economy Priorities

 S3: Article 6 Readiness and Eligibility

4. Conducting the Initial Profiling and Making a Preliminary Decision

 F1: Project ERC Value

 F2: Additional Value Enabled by Project

 C1, C2, and C3: Carbon Integrity and Environmental and Social Risk Management

 S2: Socioeconomic Value

5. Conducting the Project Assessment and Making the Final Decision

 F1: Project ERC value and F2: Additional Value Enabled by Project

 Q1: MRV Infrastructure

 Q2: Marketing, Sales, and Pricing

 Q3: Project Governance and Structure

 C1: Carbon Integrity

 C2: Environmental Risk Management

 C3: Social Risk Management and Benefits

 S2: Socioeconomic Value

6. Further Guidance for Application

 Market-Driven Factors

 Country Context-driven Factors

 Considerations for Future Scope

Abbreviations: Guidance for Countries in Assessing ERC Projects

Appendices: 

• A: Project Profile Template 

• B: Project Assessment Template 

• C: PPP Models for ERP

  - Model 1: MRT Energy Efficiencies Model for ERP

  - Model 2: Rural Electrification Model for ERP

  - Model 3: LED Streetlight Deployment Model for ERP - for Efficient Outdoor and Street Lighting Technologies

  - Model 4: Rooftop Solar Installation Model for ERP

  - Model 5: LED Streetlight Deployment Model for ERP - for Specific Technologies

  - Model 6: E-bus Deployment Model for ERP

  - Model 7: EV Charging Systems Installation Model for ERP

  - Model 8: Biodigesters Deployment Model for ERP

  - Model 9: Waste-to-Power Model for ERP

  - Model 10: Waste Treatment Facility Model for ERP

  - Model 11: Climate Smart Farming Deployment Model for ERP

  -  Model 12: Reforestation Program Model for ERP

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LED Streetlight Deployment Model for ERP - for Efficient Outdoor and Street Lighting Technologies

Photo Credit: Image by Freepik

On this page: LED Streetlight Deployment for efficient outdoor and street lighting technologies leveraging an Existing-Refurbish-Finance-Bulk-Fees -  Model 3 in the ERP Project Guidelines.  Read more below, or download the following reports: Strategic Guidance for Country System Assessments and Guidance for Countries in Assessing ERC Projects, or the Mobilizing ERC Finance Report. 


Project Type: Energy efficiency

Sector: Energy - Power

Applicable Project Methodology: AMS.II.L Demand-side activities for efficient outdoor and street lighting technologies

This model describes project seeks to boost energy efficiency in public lighting infrastructure through the replacement of current luminaires with light-emitting diode (LED) lighting. It encompasses the installation, maintenance, expansion, replenishment, operation, and management of all public lighting infrastructure within the project area. Usage of more energy efficient luminaires reduces energy consumption hence minimizing greenhouse gas (GHG) emissions

Proposed Structure of this Public Private Partnership (PPP ) Model

The project will be leveraging an Existing-Refurbish-Finance-Bulk-Fees model. This will involve a municipal government or state-owned entity granting an experienced private sector entity a concession to replace the existing lighting in the target location. The private sector entity will be raising financing given that the assumed payment arrangements from the government or state- owned entity will be a percentage of the power consumption savings resulting from the project through a 10-year period.

Table 1: Model Attributes

Dimension
Attribute
Description

Business

New

This model assumes that a competitive bidding among experienced project companies will take place

Existing

Construction

Build

The model involves the project company taking over and refurbishing current lighting infrastructure

Refurbish

Private Funding

Finance

The project company will be tasked with raising the funds for the installation of the LED lighting

Service

Bulk

The project company will be collecting payments from the government or state-owned entity for the service of replacing the current lighting

User

Revenues

Fees

Revenues in this model will originate from the pre-agreed payments of the municipality to the private company for the service of replacing the current lighting

Tariffs

Proposed risk allocation of the Public Private Partnership Model

Key features of PPP structure

  • Private sector entity to design, build, finance, operate and maintain public street lighting infrastructure via a concession agreement with the ministry/ government or state-owned entity
  • The private sector entity acts as the implementation partner, and is responsible for all activities related to the implementation, management, monitoring and reporting of the project over the project crediting period
  • In exchange, private sector entity can earn a concession fee from operations and maintenance from government or state-owned entity as well as any potential emission reduction credits (ERCs) generated from modernization of public street lighting to be more energy efficient

Key considerations/risks for proposed project

  • Extensive stakeholder engagement required to ensure buy-in from local municipality as well as local citizens
  • Need to comply with any local street lighting standards
  • Need to ensure that there is no regulation that imposes upon the government or state-owned entity partner to reduce emissions from public lighting or through energy efficiency activities in which this project can be reasonably assumed to be within scope
  • Partnering with a service provider for the project’s marketing, sales and pricing is needed to identify potential offset buyers, negotiate contracts, and secure good target price per tonne to enable the financial viability of ERC generation
  • Contracting a monitoring, verification and reporting (MRV) service provider with experience in conducting MRV and preparing the necessary documents for generating ERCs in a voluntary carbon market standard will reduce risk of registration and issuance delays or bottlenecks, and strengthen credibility of project’s carbon integrity quality

Figure 1: Financing and Activity Flows for the Model

Case study: Public Lighting Service in San Salvador, El Salvador

Project description
The project sought to enhance energy efficiency in public lighting infrastructure by replacing existing luminaires with LED lighting in the urban area of San Salvador, El Salvador and was commenced in early 2017. It involves the installation, maintenance, expansion, replenishment, operation, and management of all public lighting infrastructure in the municipality. The project comprises two stages: Stage I involves replacing 27,436 old technology luminaires (16,088 Hg luminaries; 11,348 Na luminaries), while Stage II entails repowering and installing 7,510 new luminaires, totaling 34,946 luminaires.
San Salvador has an urban area of 72.25 km sq and a population of around 2.4 million (M) residents that benefit from this energy efficiency project.

Impact

The annual average estimate of GHG emission reductions and removals is 8,640,90 tonnes with the total for the crediting period being 86,408,98 tonnes. Given the small scale of the project in achieving savings below 20 gigawatts per hour, it was assessed to be additional by the verification body Colombian Institute for Technical Standards and Certification (ICONTEC). Aside from the emission reductions going towards El Salvador’s nationally-determined contributions (NDCs), the project improved the sense of security among the residents of the area in public spaces where the previous lighting were not functional.

Figure 2: Structure of Case Study PPP

 

The project proponent holds a concession contract with the Municipality of San Salvador, granting them temporary authority over the supply, installation, maintenance, expansion, modernization, replacement, operation, and administration of the municipality's lighting infrastructure. This grants UDP Consorcio Agm Desarrollo (UDP) the power to replace existing luminaries with LED lighting and to earn the ERCs associated with the reduced consumption of energy.

Summary of the model financials

Assuming a similar scale as the case study of replacing ~35,000 luminaries in total, the project’s Net Present Value (NPV) without ERC in- and outflows – only considering non-ERC inflows through other revenue streams or cost savings enabled by the project – is positive at $0.3M1. With ERC cashflows, the total project will have a greater positive NPV of $0.4M, which potentially increases the attractiveness of these type of projects for investors. There is also substantial NPV value for users that benefit from this projecting approximately $5.4M for net user benefit. This accounts for the estimated annual net electricity consumption savings.

Table 2: Summary of sources of inflows and outflows and key assumptions

Value component
Assumptions
Sources

ERC revenues or inflows

  • Three issuances across the project’s 10-year crediting period, at year 3, year 7 and year 10
  • $7.35 per tonne today for 28,803 estimated tonnes of ERCs likely generated in the first issuance
  • 10% price increase to $8.09 for 57,606 estimated tonnes of ERCs likely generated for the second issuance

Average price of Energy Efficiency project in Asia, Verified Carbon Standard (VCS) and Gold Standard (GS)

Non-ERC revenues or inflows

  • Estimated annual net electricity consumption savings: 8,493 MWh
  • Tariff cost: $0.195/KWh

San Salvador Public Lighting case study benchmark, World Bank – Cost of Doing Business study

Project investment and implementation cost

  • LED luminaires investment and installation cost: $1,959,668
  • Operating and maintenance costs assumed to be 10% of total investment and installation costs

San Salvador Public Lighting case study benchmark, Singapore LED replacement2 case study benchmark

ERC generation

  • $10,000 for the project’s registration and first issuance
  • $15,000 for each verification process across two issuance cycles
  • $0.14 per tonne generated for issuances

Verra Fee Schedule

Table 3: Net cashflows summary (in USD)

Components
Sum of initial outlays
Sum of in- or outflows from crediting period
Total cashflow

ERC Component

Revenues/Inflows

0

677,759

677,759

Costs/Outflows

0

-67,097

-67,097

Net value

0

610,662

610,662

Primary/Non-ERC Component

Revenues/Inflows

0

4,554,371

4,554,371

Costs/Outflows

-1,959,668

-195,967

-2,155,635

Net value

-1,959,668

4,358,404

2,398,737

Net Present Values

NPV

$442,683

NPV (ERC Component)

$183,244

NPV (Non-ERC Component)

$259,439

NPV (Net user benefit)

$5,378,349

 

Footnote 1: All prices are expressed in United States Dollars (USD)

Footnote 2: VCS 1712

Note(s):

This section is intended to be a living document and will be reviewed at regular intervals. The Guidelines have not been prepared with any specific transaction in mind and are meant to serve only as general guidance. It is therefore critical that the Guidelines be reviewed and adapted for specific transactions. Unless expressly stated otherwise, the findings, interpretations, and conclusions expressed in the Materials in this Site are those of the various authors of the Materials and are not necessarily those of The World Bank Group, its member institutions, or their respective Boards of Executive Directors or member countries. For feedback on the content of this section of the website or suggestions for links or materials that could be included, please contact the PPPLRC at ppp@worldbank.org.

 

 

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Updated: April 3, 2024

UNLOCKING GLOBAL EMISSION REDUCTION CREDIT


Guidance for Countries in Assessing ERC Projects


1. Introduction to Emission Reduction Credits

 The World Bank's Emission Reduction Program

 Emission Reduction Credits

Classification of Emissions Reduction Credit

 Policy Context of Emissions Reduction Credit

2. Objective of the Guidance for Countries in Assessing ERC Projects

 Objective of Project Preparation Guidelines

 Introduction to the Project Assessment Framework

 Process to Conducting Assessments

3. Determining Country Inputs

 S1: Green Economy Priorities

 S3: Article 6 Readiness and Eligibility

4. Conducting the Initial Profiling and Making a Preliminary Decision

 F1: Project ERC Value

 F2: Additional Value Enabled by Project

 C1, C2, and C3: Carbon Integrity and Environmental and Social Risk Management

 S2: Socioeconomic Value

5. Conducting the Project Assessment and Making the Final Decision

 F1: Project ERC value and F2: Additional Value Enabled by Project

 Q1: MRV Infrastructure

 Q2: Marketing, Sales, and Pricing

 Q3: Project Governance and Structure

 C1: Carbon Integrity

 C2: Environmental Risk Management

 C3: Social Risk Management and Benefits

 S2: Socioeconomic Value

6. Further Guidance for Application

 Market-Driven Factors

 Country Context-driven Factors

 Considerations for Future Scope

Abbreviations: Guidance for Countries in Assessing ERC Projects

Appendices: 

• A: Project Profile Template 

• B: Project Assessment Template 

• C: PPP Models for ERP

  - Model 1: MRT Energy Efficiencies Model for ERP

  - Model 2: Rural Electrification Model for ERP

  - Model 3: LED Streetlight Deployment Model for ERP - for Efficient Outdoor and Street Lighting Technologies

  - Model 4: Rooftop Solar Installation Model for ERP

  - Model 5: LED Streetlight Deployment Model for ERP - for Specific Technologies

  - Model 6: E-bus Deployment Model for ERP

  - Model 7: EV Charging Systems Installation Model for ERP

  - Model 8: Biodigesters Deployment Model for ERP

  - Model 9: Waste-to-Power Model for ERP

  - Model 10: Waste Treatment Facility Model for ERP

  - Model 11: Climate Smart Farming Deployment Model for ERP

  -  Model 12: Reforestation Program Model for ERP

Find Full Outline