No 27, Jalan SILC 2/1 Kawasan Perindustrian SILC, 79200 Iskandar Puteri, Johor
Together We Sustain.. through Energy Efficiency
Why pay more for your monthly electricity? Abolish your surcharge in your bill now! Get your capacitor bank TODAY.
Increase power factor level and perform energy efficiency (use less of energy to perform the same task)
Optimise generation & distribution efficiency, reducing losses & eliminate reactive fee.
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.
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
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
Understanding Power Factor & Capacitor Bank. Why Energy Efficiency is important? What TNB Says about Power Factor? Is PFCS legal? What Suruhanjaya Tenaga (ST) Says
Why pay more for your monthly electricity? Abolish your surcharge in your bill now! Get your capacitor bank TODAY.
Increase power factor level and perform energy efficiency (use less of energy to perform the same task)
Optimise generation & distribution efficiency, reducing losses & eliminate reactive fee.
AND ITS VARIOUS METHOD OF STUDY
Due to industrial demand on todays technology, we would like to enhance our product by developing system that can be:
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.
Our system can extract data from the device installed on PFCS to monitor the movement of real-time data.
Realise how much bills are saved
Observe how much reduction in kVar after PFCS installation.
Analyse how much clean and efficient energy being distributed on grid
Based on evaluation made by PFCS, it can decide on available information and considering potential outcomes
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
Due to industrial demand on todays technology, we would like to enhance our product by developing system that can be:
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.
Our system can extract data from the device installed on PFCS to monitor the movement of real-time data.
Realise how much bills are saved
Observe how much reduction in kVar after PFCS installation.
Analyse how much clean and efficient energy being distributed on grid
Based on evaluation made by PFCS, it can decide on available information and considering potential outcomes
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
Due to industrial demand on todays technology, we would like to enhance our product by developing system that can be:
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.
Our system can extract data from the device installed on PFCS to monitor the movement of real-time data.
Realise how much bills are saved
Observe how much reduction in kVar after PFCS installation.
Analyse how much clean and efficient energy being distributed on grid
Based on evaluation made by PFCS, it can decide on available information and considering potential outcomes
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
Reducing three main components of energy (i.e) kWh, kVar & kVarh
5-10 year’s comprehensive maintenance
Minimize a damage of equipment due to viable voltage and current management on grid.
Maintaining sustainable reactive power distribution in the long run
Reduce 20-30% of maintenance cost for inductive equipment
Reducing dependency on carbon intensive power plant (i.e reduce cO2 emissions).
24% Green Incentive Tax Allowance (GITA) - upon approval /24% Capital Allowance
Save money electricity bills by eliminating power factor surcharge and improving power factor level at 0.96-0.98 in the long run
Government
Private
Discover more our sucessful clients and projects across Malaysia that improve better in energy efficiency and achieve total sustainable energy solutions
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