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Showing posts from March, 2017

Kompresor Danfoss di PAC anda

Salah satu perangkat penting dalam AC Presisi adalah Kompresor Compressor danfoss maneurop adalah kompresor yang terkenal dan telah banyak dipakai di seluruh dunia, kompresor ini  memiliki kualitas dan mutu yang sangat baik oleh karena itu banyak pengguna yang gemar menggunakannya karena dikenal bandel dan dapat diandalkan. Danfoss merupakan Perusahaan multinasional yang besar, memiliki 24000 karyawan di seluruh dunia, memiliki total 59 pabrik di 18 negara, dan telah menjual produknya hingga 46 negara. Danfoss juga telah mengantungi sertifikasi ISO 14001, Selain memproduksi kompresor, Danfoss juga memproduksi alat penukar panas (Heat exchanger), juga berbagai macam alat kontrol, (expansion valve, solenoid valve, kontrol elektronik, regulasi valve untuk suhu dan tekanan, coil, pressure switch, filter dryer dan sight glass) Compressor danfoss maneurop memiliki ciri yang khas yakni dimana kompresor nya mempunyai warna biru mengkilat, untuk pasar Indonesia, biasanya produk-produk kompre

Thermal Mapping Your Data Center

Data Centers have traditionally monitored the temperature and humidity within them via sensors positioned in the room or on individual cabinets.  AKCP  has been the worlds leading supplier of SNMP based environmental monitoring solutions for the data center for over 30 years. We recently introduced the Thermal Map sensor, a 3 in 1 (or 4 in 1) sensor that will monitor the temperature and humidity at the top middle and bottom of your server cabinet. Designed to be placed at the front air inlet of the rack, with a second sensor placed at the rear air outlet. Why do this? What's the advantage compared to placing one sensor in the rack? Why monitor both air temperature coming in and out? High air inlet temperature indicating hotspot in the room Hotspots By having an overview of the air temperature coming into your cabinet at the top middle and bottom you have a better idea of your cooling input. Do you have hotpots, areas of warmer air coming into the cabinet. Ideally the air c

Save money by lowering your PUE

What is PUE? PUE is an industry acronym for Power Usage efficiency. It is the number by which a data center's efficiency can be measured. The lower your PUE the more efficiently your data center is utilizing the power.  So why is it important to me? The more efficiently the power is used the lower the energy consumed, thus resulting in cost savings and lowering your carbon footprint. Lower energy costs can also be attractive for co-located data centers if you're billing your clients for their energy consumed, earning you marketing brownie points as well. So what is my PUE? Calculating your PUE is relatively straight forward, once you have the data required. It is a simple ratio of the total energy consumed over the amount of energy consumed by IT equipment alone. The resulting figure will tell you the ratio of how much energy is being used to run ancillary services, such as lighting and cooling, etc against how much is used by your IT equipment. A perfect PUE of 1.0 (impossible

Monitor PUE & Lower Energy Bills with AKCP

Monitor energy usage in server cabinets. AKCP monitors energy consumption and automatically calculates the efficiency of server room cabinets. Using efficiency data, you can make calculated changes to the way your server room works. Optimize your infrastructure and save money in the process. 30% of servers are under utilized costing approximately $4000 USD per year in excess cooling and electrical costs. *An Uptime Institute Study Benchmark and monitor PUE in real time. Measuring the power consumed by IT and non-IT power enables operators to benchmark and compare power consumption from a single or distributed deployment through Power Usage Effectiveness or PUE calculations. Evaluate future cost-saving measures using the initial PUE benchmark. PUE and other server room metrics can be tracked over time to help identify server room issues and opportunities for cost savings. Automatic PUE calculations. AKCP calculate PUE values using data polled from numerous devices. A