23, Jalan Silc 2/3 Kawasan Perindustrian SILC, 79200 Iskandar Puteri, Johor

Specialist in Power Factor Correction

every watts matters

Eliminate Power Factor Surcharge

Why pay more for your monthly electricity? Abolish your surcharge in your bill now! Get your capacitor bank TODAY.

Maintain Sustainable Power Factor Level 0.96-0.98 In The Long Run

Increase power factor level and perform energy efficiency (use less of energy to perform the same task)

Optimize solar kWp distribution

Optimise generation & distribution efficiency, reducing losses & eliminate reactive fee.

About BINA TENAGA ENERGY

Bina Tenaga Energy Sdn Bhd (“BTESB”) principally engaged in correcting Power Factor and optimising efficient power usage via our PFCS equipment to reduce an electricity overheads.

What is Power Factor?

Understanding Power Factor & Capacitor Bank. Why Energy Efficiency is important? What TNB Says about Power Factor? Is PFCS legal? What Suruhanjaya Tenaga (ST) Says

Our Benefits

Why choose PFCS-Binatenaga as your
Energy Efficiency (EE) and
Power Factor Solution

benefit 1

Reducing three main components of energy (i.e) kWh, kVar & kVarh

benefit 2

5-10 year’s comprehensive maintenance

benefit 3

Minimize a damage of equipment due to viable voltage and current management on grid.

benefit 4

Maintaining sustainable reactive power distribution in the long run

benefit 5

Reduce 20-30% of maintenance cost for inductive equipment

benefit 6

Reducing dependency on carbon intensive power plant (i.e reduce cO2 emissions).

benefit 7

24% Green Incentive Tax Allowance (GITA) - upon approval /24% Capital Allowance

benefit 8

Save money electricity bills by eliminating power factor surcharge and improving power factor level at 0.96-0.98 in the long run

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Green Technology Financing Scheme-i 4.0 (GTFS-i 4.0)

The GTFS is a special financing scheme introduced by the Government offering a 2% p.a. interest/profit rate subsidy for the first seven years and 60% government guarantee financial cost to support the development of green technology in Malaysia

Application of Green Technology in power generation and in the energy supply side management, including co-generation by the industrial and commercial sectors

For more information please visit : https://www.gtfs.my/page/project-eligibility-criteria-energy-sector

For more information, you can visit : https://www.gtfs.my/page/register-applicant

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Solar Partner
Technical Partner
Solution & Connectivity Partner
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Installation of PFCS at Masjid Jamek Temerloh Jaya (MTTJ)

Recent project at Masjid Jamek Temerloh Jaya (MTTJ), this program is the first program together with MGTC (under NRESS - Ministry of Natural Resources & Environmental Sustainability)

Installation of PFCS -Solar Optimizer in mosques across the country that have low pf problems after Solar Integration

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PFCS: THE TECHNOLOGY ORIGIN

AND ITS VARIOUS METHOD OF STUDY

IoT | Ai

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Integrated Control Centre (Progress)

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IoT Centre (In Progress)

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How we can achieve this?

Due to industrial demand on todays technology, we would like to enhance our product by developing system that can be:

Monitor
Analyze
Make decision making

The route shows stages by stage in order to reach a smart PFCS. Starting from the integrated control system, a device namely PQM 1000s will transmits data for the next stage of IoT process.

Integrated Control System

“PGM”

Stage 1

Raspberry Pi

“Raspberry

Internet of Things (IoT)

“internet

Python/ JavaScript

“coding”

Stage 2

Artificial Intelligence (Ai)

“artificial

Stage 3

Data Monitoring

Our system can extract data from the device installed on PFCS to monitor the movement of real-time data.

  • Active Power
  • Reactive Power
  • Apparent Power (kVA)
  • Power Factor
  • Averange Power Factor
  • Voltage (Volts)
  • Current (Amps)

Data Analysis

Save in Bills

Realise how much bills are saved

Carbon Emission

Observe how much reduction in kVar after PFCS installation.

Clean Energy

Analyse how much clean and efficient energy being distributed on grid

Decision Making

Based on evaluation made by PFCS, it can decide on available information and considering potential outcomes

Machine Learning

Machine learning is a part of AI process embedded into non-living things before it makes a decision. In our next project, we initiate an idea to AI-ing our PFCS as below

IoT Centre (In Progress)

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description

Centralized hub where final data operations
can be visualized, monitored, controlled, and executed by personnel.

What benefits to client?

Customer can monitor data using phone /laptop via BTE websites

Remote communication between BTE - client

Digital Command Centre

Why you should install PFCS-Binatenaga

The Benefits

Eliminate Power Factor Surcharge

Why pay more for your monthly electricity? Abolish your surcharge in your bill now! Get your capacitor bank TODAY.

Maintain Sustainable Power Factor Level 0.96-0.98 In The Long Run

Increase power factor level and perform energy efficiency (use less of energy to perform the same task)

Optimize solar kWp distribution

Optimise generation & distribution efficiency, reducing losses & eliminate reactive fee.

IoT | Ai

Edit Content

Integrated Control Centre (Progress)

Edit Content

IoT Centre (In Progress)

Edit Content

How we can achieve this?

Due to industrial demand on todays technology, we would like to enhance our product by developing system that can be:

Monitor
Analyze
Make decision making

The route shows stages by stage in order to reach a smart PFCS. Starting from the integrated control system, a device namely PQM 1000s will transmits data for the next stage of IoT process.

Integrated Control System

“PGM”

Stage 1

Raspberry Pi

“Raspberry

Internet of Things (IoT)

“internet

Python/ JavaScript

“coding”

Stage 2

Artificial Intelligence (Ai)

“artificial

Stage 3

Data Monitoring

Our system can extract data from the device installed on PFCS to monitor the movement of real-time data.

  • Active Power
  • Reactive Power
  • Apparent Power (kVA)
  • Power Factor
  • Averange Power Factor
  • Voltage (Volts)
  • Current (Amps)

Data Analysis

Save in Bills

Realise how much bills are saved

Carbon Emission

Observe how much reduction in kVar after PFCS installation.

Clean Energy

Analyse how much clean and efficient energy being distributed on grid

Decision Making

Based on evaluation made by PFCS, it can decide on available information and considering potential outcomes

Machine Learning

Machine learning is a part of AI process embedded into non-living things before it makes a decision. In our next project, we initiate an idea to AI-ing our PFCS as below

IoT Centre (In Progress)

Edit Content

description

Centralized hub where final data operations
can be visualized, monitored, controlled, and executed by personnel.

What benefits to client?

Customer can monitor data using phone /laptop via BTE websites

Remote communication between BTE - client

Digital Command Centre

IoT | Ai

Edit Content

Integrated Control Centre (Progress)

Edit Content

IoT Centre (In Progress)

Edit Content

How we can achieve this?

Due to industrial demand on todays technology, we would like to enhance our product by developing system that can be:

Monitor
Analyze
Make decision making

The route shows stages by stage in order to reach a smart PFCS. Starting from the integrated control system, a device namely PQM 1000s will transmits data for the next stage of IoT process.

Integrated Control System

“PGM”

Stage 1

Raspberry Pi

“Raspberry

Internet of Things (IoT)

“internet

Python/ JavaScript

“coding”

Stage 2

Artificial Intelligence (Ai)

“artificial

Stage 3

Data Monitoring

Our system can extract data from the device installed on PFCS to monitor the movement of real-time data.

  • Active Power
  • Reactive Power
  • Apparent Power (kVA)
  • Power Factor
  • Averange Power Factor
  • Voltage (Volts)
  • Current (Amps)

Data Analysis

Save in Bills

Realise how much bills are saved

Carbon Emission

Observe how much reduction in kVar after PFCS installation.

Clean Energy

Analyse how much clean and efficient energy being distributed on grid

Decision Making

Based on evaluation made by PFCS, it can decide on available information and considering potential outcomes

Machine Learning

Machine learning is a part of AI process embedded into non-living things before it makes a decision. In our next project, we initiate an idea to AI-ing our PFCS as below

IoT Centre (In Progress)

Edit Content

description

Centralized hub where final data operations
can be visualized, monitored, controlled, and executed by personnel.

What benefits to client?

Customer can monitor data using phone /laptop via BTE websites

Remote communication between BTE - client

Digital Command Centre

Value Proposition

1. Cost Saving
  • Initial Power Assessment to determine reactive power composition (incoming &
    outgoing level)
  • Precise kVAr compensation at all level
  • Remedial & preventive maintenance readied especially for large power consumer
    and solar users. Remedial & preventive can be extended throughout power purchase
    agreement (PPA) period
  • Replacement of capacitor bank cylinder will heavily depends on load resistance and equipment lifespan. Many
    inductive-based facility and buildings facing a shorter replacement period (1 1/2, 1, 3/4 years). This will increase
    OPEX provisions.
  • Upgrading of current transformer for large power consumer normally cannot be avoided due to the an uprising
    trend of load demand (kVa). Consequently need a CAPEX provisions.
  • Low PF unit at outgoing level distribution will shorten equipment lifespan which will increase an OPEX for
    maintenance and reduced CAPEX cycle.
  • PFCS Binatenaga compensation at outgoing unit find the best combination of V x A x PF x H (kWh)
    An integration between macro (incoming level) & micro (outgoing level) will sustain overall Power Factor in the long run.
  • Wye (Star-Delta) Connection Capacitor
  • Prevent under and over compensation issues
  • Var compensation different each phase by PFCS-Binatenaga
  • Suite with the involvement of tnb smart meter

Impact

  • Ampere reduction increases available voltage capacity.
  • Reducing reactive power in distribution lines frees up capacity, allowing the
    system to deliver more active power.

Reliability

  • Stabilizes voltage across the network, preventing nuisance tripping.
  • Protects sensitive equipment from fluctuations and overheating.
  • Improves overall electrical system performance and uptime.

Scalability

  • Modular design allows phased installation at sub-DBs or outgoing feeders.
  • Suitable for small factories to large malls, data centers, and industrial plants.
  • Flexible capacity expansion without major reworks
General Guideline for Solar Installation
  • Dual energy sources (grid + solar) can lower overall power factor.
  • Low power factor will impact other power issues such as voltage swing/fluctuation
  • Impact on users: Higher utility bills due to PF surcharges and getting low quality load
  • Internal grid issue: Low PF at the output stage reduces solar efficiency.
  • User concern: Many were not informed about solar’s effect on power factor

The 72kWp power assessment will not only address power factor issues but also anticipate and mitigate potential high fault levels (HFL) and voltage fluctuations.

  • Integrated Compensation: PFCS-Binatenaga supports both incoming and outgoing levels.
  • Target Users: Medium-to-large premises with solar PV.
  • JKR TBOR Guidance:
    • Individual correction → reduces distribution loading & improves voltage regulation.
    • Central correction → simplifies supervision with automatic control.
  • Combined Approach: Delivers practical, efficient, and flexible compensation without extra
    switchgear.
Integrating IEC 61727 & IEEE 1547-2018 Requirements with PFCS for Grid Stability

SUMMARY:
IEC 61727 sets the baseline for acceptable PV system power factor,
IEEE 1547-2018 adds the flexibility for grid support,
and a PFCS ensures both compliance and stability in real-world condition.

Local & International

  • Suruhanjaya Tenaga (ST) – Maintaning power factor above the threshold limit (0.85 for supply voltage below 132kV and 0.90 for supply voltage for 132kV and above).
  • TNB Power Factor Surcharge & Incentive Policy – The quality of power at the point of
    connection shall not be degraded compared to the existing supply. Quality of supply shall be measured in compliance with applicable standards for voltage, flicker, frequency, harmonics, and power factor.
  • Voltage regulation in accordance with MS IEC 60038 and utility supply limits.
  • Voltage flicker within the permissible limits as per IEC 61000-3-3 / IEC 61000-3-7.
  • Frequency stability maintained within ±1% of nominal grid frequency.
  • Harmonic distortion within the Total Harmonic Distortion (THD) limits set by IEEE 519 / MS IEC 61000-3-2.
  • Power factor at POI (point of interconnection)maintained between 0.95 lagging and 1.00
    (unity). This power factor unit considered acceptable for grid stabiity and efficient power transfer. IEC 61727.
  • The system owner shall ensure that proper coordination is maintained between the PV inverter controls, the load profile, and any onsite power factor correction equipment to avoid adverse effects on the utility network.
  • Energy Commission Guidelines on Harmonic Control (EQA) – Limits harmonic distortion when installing PFC systems.
  • MS IEC 60831 (adopted Malaysian Standard) – Shunt Power Capacitors – Safety, performance, and testing requirements for capacitor banks.
  • MS IEC 61921 – Power Capacitors and Their Assemblies for Power Factor Correction – Requirements for PFC assemblies, including safety and performance.
  • MySTI Certification (by MOSTI) – Certifies locally developed technology (PFCSBinatenaga certified).
  • Technical briefing of requirement (TBOR)
    Comparison Method of Installation
Integrated Compensation in PFCS-Binatenaga Technology aligned with JKR TBOR Recommendations

OPEX – Operating expanditure for machinery and other inductance equipment

CAPEX – Investment made to acquire or upgrade fixed, physical or asset to maintain optimum level operation

  • Outright Purchase – Free maintenance for 3 to 5 years (maintenance inclusive). 8% – 10% of the initial cost is allocated to annual maintenance for subsequent year.
  • Energy Performance Contract (EPC)/Private Funding Initiative (PFI) –
  • The maintenance cost covered through out the contract period
MyHijau Directory
MyHijau Certification
SIRIM Certification

Our Clients and Projects

Government

Private

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