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SOLAR EV CHARGING STATIONS NETWORK

Optimal Placement of Solar-Assisted Electric Vehicle Charging Stations in a Local Public Transportation System

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ABOUT THE PROJECT

           In order to ensure a sustainable operation of electric mobility, there is a need to create a smart, efficient and environment friendly system. Therefore, the tripartite collaborative project of the DOE, PCIEERD and UP will definitely support the government’s efforts in the gradual opening up of the economy with  high regard to IATF minimum health safety and that includes physical distancing in public transport. Also, the introduction of solar power together with energy storage provides energy security and disaster resiliency to the charging station and will support the continuous operations of electric vehicles even if the electric power grid is down.

      This project will not only address the energy security issue and the need for disaster-resilient infrastructures and systems but will also address the future demand of the electromobility industry.

TO DEVELOP

a methodology in optimal placement of charging stations in a local public transportation network

TO PILOT

a network of fast charging systems for electric vehicles; Available even during grid blackouts - energy security & disaster resiliency

TO DETERMINE

the techno-economic viability of fast chargers and solar EV charging stations.

About
DELIVERABLES

          The project will analyze the different considerations, variables, and the algorithm needed to objectively identify locations that are considered to be strategic and optimal for the deployment of a network of public charging stations. It also aims to provide a disaster resilient charging stations by introducing solar-assisted system in the design. The stations will also feature the Charging in Minutes Technology (CharM) which gives the added benefit of fast charging for retrofitted EVs.

1.

Determination of the optimal location for the establishment of solar EV charging stations

2.

Two (2) solar-assisted EV charging stations

3.

Two (2) EV charging stations with fast chargers and AC charging terminals

4.

Techno-economic analysis of the feasibility of commercially operating solar EV charging stations and fast chargers.

Abstract Futuristic Background

EXPECTED OUTPUTS

Publications

1 publication in conference/journal

Patents / IP

Algorithm that determines the placement of chargers/charging stations in different localities

Products

Five (5) fast charging equipment, Two (2) solar-assisted charging stations

People Services

Increased operating time of E-Trikes, increasing daily income of drivers

Places and Partnership

Increased partnerships with different local government units; drivers, TODAs and LGU partnership

Policy

In aid of site identification and policy-making of different local government units in putting up charging stations which will be based from scientific data; increased penetration of electric vehicles in their local transportation development plan in anticipation of future law on Electric Vehicle (e.g. SB1382).

METHODOLOGY

          Two key objectives of introducing solar power generation and energy storage systems in the electrical design of the charging stations are (1) to be able to achieve a significant level of energy security in terms of power generation and (2) resiliency in terms of continuous availability of power even during grid blackouts. Electric vehicles (EV) are the centerpiece technology in an alternative fuel transport system. But when the grid goes down whether through a planned outage or during a natural calamity, EVs are basically rendered useless as soon as their batteries are depleted. This project aims to provide a backup energy supply for EVs that are not completely reliant on the grid. The charging stations will remain operational with an energy generation and storage system.

  • Green Transport Office (GTO)

  • Brgy. Payatas

  • Brgy. Commonwealth

  • Desktop Review

  • Survey Design

  • Training of Surveyors

  • Survey Proper

  • Determination of relevant factors

  • Model and algorithm design

  • Input Gathered Data to the Model

  • Simulations

Abstract Background

Coordination with Barangay Payatas and Barangay Commonwealth in Quezon City

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Consultation with Quezon City Green Transport Office
Visit to Target Area TODAs
  • Litex-Commonwealth (LC) TODA

  • Litex-Payatas (LiPa) TODA 

  • Payatas TODA (PaTODA)

  • Parkwoods TODA (PWTODA)

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Survey Period: April 15 - April 28, 2021
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Connecting Dots
Survey Results - Trip Distance and pkm
Average and Total Trip Distance

a. Parkwoods longest route
b. LC TODA shortest route

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Total Daily pkm

a. Parkwoods most consistent pkm
b. Pa and PW > LC and LiPa (longer route)
c. LC and LiPa > Pa and PW (pax count)

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Coordination
Data Gathering
Model Development
Connecting Dots
TARGET BENEFICIARIES

1.

E Trike drivers will have more operating time, increasing their income 

2.

EV users will have access to more charging stations by project end.

3.

Communities will benefit in decreased air and noise pollution, improving community well-being

4.

Local government units can increase penetration of electric vehicles in their local transportation plan

5.

The national government will benefit from decreased incidence of respiratory disease due to air pollution and from the lessen reliance of our country to imported fuel 

CHARGING
STATIONS

Solar-assisted EV charging stations with energy storage system for continuous use during grid blackouts. With Solar photovoltaic (PV) integration, Battery energy storage system, EV fast charging terminals, and AC charging terminals with universal EV access

CHARGING
TERMINALS

The solar charging stations feature different charging modes applicable to a wide variety of vehicles. The CharM charging technology of UP presents a Mode 4 DC fast charging scheme. Other charging terminals from CHRG INC provide Mode 3 EV charging.

TRAININGS AND SEMINARS

Online and face-to-face trainings and seminars were conducted in order to educate the EV drivers, operators, and LGUs on the effective management of the charging infrastructure as well as the vehicles.

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