Properties Magazine May 2017 : Page 51

Plumbing & HVAC Systems 
&#1f;(&#1f; Building Name: Building #33 Equipment Name: AHU01 Analysis Name: AHU coil analysis Estimated Daily Cost Savings: $912 Problem: Excess or simultaneous heating and cooling > The preheating coil and/or cooling coil are either providing excess heating or cooling or operating simultaneously. > This may waste around $978 and 79220 kBTUs over 1 day(s). &#1f;"'&#1f;(&#1f; &#0f; %'&#1f;& !& %% Possible causes: 
 $& !&#1f;*&&#1d;% > Valve is not seating properly and is leaking. &#1d;&#1b;&#1c;&#1f;* %&#1f;&#1f; &% > Valve is stuck. > Temperature sensor error or sensor installation error is causing improper control of the valves. &#0a;" &#1f;! &#1d;!#'& Figure 1 Figure 2 Building analytics, on the other hand, provides for the prioritization of energy, comfort and mechanical issues delivered in an actionable format supported by a ‘return on investment’ approach based on avoidable energy and mechanical costs. These avoidable costs are calculated to include mechanical equipment horse power, flow rates, run times, calculated BTUs and utility costs, as well as other equipment and building parameters. Building automation systems are ideal for operations and maintenance – or in other words, day-to-day building operations. Building analytics overlaid on a building automation system pro-vides for an ideal tool for engineering planning. This includes the ability to pinpoint top comfort, energy and maintenance priorities that can maxi-mize operational resources. Architecturally, beyond working in conjunction with a building automation system, building analytics typically takes advantage of cloud computing [see figure 1]. This allows for the implantation of thousands of algorithms in order to output highly actionable, prioritized and quantified wasted energy dollars. These actionable results [see figure 2] are made available by means of a web interface accessible via a browser, smart phone or tablet as most building engineers are typically on the move. By accessing data from individual pieces of mechanical equipment as well as entire subsystems, building analytics can identify numerous faults and oppor-tunities for improvements. The following is a short list: • Simultaneous heating and cooling • Excessive reheating • Trends in chiller efficiency • Short cycling • Leaking valves, broken dampers • Opportunity for higher/lower loop setpoints • Opportunity for static pressure reset Achieve Results: Building Analytics can reduce the cost of facility operations primarily in utility cost savings, maintenance efficiency, and operational improvements. Here are a few examples: /b&#0e;O&#0e;`SaSO`QV&#0e;ZOP]`Ob]`g(&#0e; Up to $286k saved from fault detection in a ventilation system /b&#0e;O&#0e;[cZbW&#1b;bS\O\b&#0e;]TÆQS&#0e;b]eS`(&#0e; $44K in expected awards from monitoring and verification to facilitate utility incentives /b&#0e;O&#0e;Q][[c\Wbg&#0e;QS\bS`(&#0e; 23% return on investment from commissioning rooftop units to reduce operational costs • Suboptimal economizer controls • Poor occupancy scheduling • Excessive zone temperature setpoints • Manual overrides • Recurring alarms • Duration of alarms • Custom analytics Building analytics allows a build-ing owner and maintenance staff to do more with less. T his includes reducing operational costs, increasing tenant comfort as well as a proactive approach based on real time data and performance trending that produces actionable information and direc-tion. All can be justified by means of an ROI methodology allowing for the proper distribution of operational assets. Building analytics has been implemented within the U.S. across a broad array of facilities to include education, healthcare and commercial office buildings. Building analytics is readily avail-able, as well as affordable. For more information, reach out to your build-ing automation/controls specialist for a demonstration. P Tony Marino is vice president with Wadsworth Solutions ( For more info, call him at 216.391.7263. 51 Images courtesy of Wadsworth Solutions

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