ASHRAE OR-10-039-2010 Energy Systems Management and Greenhouse Gas Reduction《能源系统管理和温室气体减少》.pdf
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1、358 2010 ASHRAEABSTRACTThe efficient use of energy reduces both energy costs andgreenhouse gas (GHG) emissions, and the mix of energysources can also affect GHG emissions. In the United States,the building sector comprises about one third of GHG emis-sions 1, presenting an attractive opportunity for
2、 utilizingadvanced design, operation and control strategies to minimizeenergy consumption and emissions while optimizing overallsystem performance through the implementation of cogene-ration, heat recovery, adaptive controls and other advancedtechniques. This paper presents an approach for controlli
3、ngGHG emissions and energy consumption through improvedcommunication between energy consumers and suppliers, andadvanced energy management systems. A specific exampleinvolving cogeneration is detailed to demonstrate the concept.INTRODUCTIONModern society is built on energy technologies to providea c
4、omfortable and safe environment, and to produce desirablegoods and services. There are many different ways to identify,categorize and subdivide energy consuming sectors. Twoexamples are on the basis of end use, such as heating, cooling,lighting or manufacturing, or on the basis of the general classo
5、f activity, such as transportation, industrial or buildings.However, regardless of how the energy consumption is cate-gorized, the efficient use of energy is desirable. Focusing onenergy efficiency as a means to control energy usage, ratherthan a simple reduction in energy consumption, allows us tom
6、eet our broader economic goals without sacrificing perfor-mance desired from the activity. The link between energy efficiency and GHG emissionsis clear. The principal GHG of concern is CO2, a product ofcarbon-based fuels combustion. Thus, both the efficiency offuel burning devices and the efficiency
7、 of devices that useenergy produced by other devices that burn fuel, affect GHGemissions. Taking a broader view, the efficiency of all the vari-ous processes in an energy conversion chain influences thetotal energy requirements, and therefore the associated GHGemissions. ENERGY MANAGEMENT SYSTEMSThe
8、re are multiple factors which can influence energyefficiency and performance. The efficiencies of combustionand mechanical energy conversion equipment and systems canvary with load and other operating conditions, both at thesupplier and consumer ends of the supply chain. As a result,maintaining effi
9、cient system operation usually requires anenergy management system (EMS) which can measure andmanipulate essential system parameters 2. Modern EMSsmay also be capable of communicating with utilities, weatherforecasters, and other entities in order to perform sophisticatedcontrol actions, including l
10、oad shedding, fuel switching, andother proactive measures. In order to make proper decisionsand maintain optimum system operation, the EMS must beable to access the required information and have a means toevaluate various modes of operation and manipulate operatingconditions. This capability implies
11、 a level of intelligence thatis certainly feasible, but only recently seeing increased imple-mentation. EMS optimization goes beyond simple feedback controlof individual processes, or even cascaded loop control, andventures into intelligent hierarchical control strategies that canconsider overall sy
12、stem performance, and adjust, activate orEnergy Systems Management and Greenhouse Gas ReductionStephen J. Treado, PhD, PE David Holmberg, PhDMember ASHRAE Member ASHRAEStephen Treado and David Holmberg are mechanical engineers with the National Institute of Standards and Technology, Gaithersburg, MD
13、.OR-10-039 2010, American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. (www.ashrae.org). Published in ASHRAE Transactions 2010, Vol. 116, Part 1. For personal use only. Additional reproduction, distribution, or transmission in either print or digital form is not permitted w
14、ithout ASHRAEs prior written permission. ASHRAE Transactions 359terminate processes as required 3. Some of the EMS-basedstrategies to reduce energy usage and GHG emissions include:Controlling equipment and systems for higher efficien-ciesReducing loadsShifting loads to off-peak time periodsEnergy st
15、orageHeat recoveryEnergy source selectionMethods such as cogeneration (combined heat andpower), heat recovery and fuel switching can have a largeimpact on GHG emissions. Determining the optimum operat-ing conditions requires careful consideration of many factors,including the carbon content of the f
16、uel sources, emissionscharacteristics, and the efficiencies and controllability of thevarious systems and components. The link between EMS and GHG reductions lies in theability to monitor the critical source and site parameters thataffect energy usage, energy efficiency and emissions. Some ofthese o
17、pportunities can be implemented in a straightforwardmanner without any special or advanced features or capabili-ties. For example, reducing energy consumption by reducingloads or increasing energy efficiency will reduce GHG emis-sions. Switching from higher to lower carbon content energysources will
18、 also reduce GHG emissions. If various energysource alternatives are available onsite, their selection can bebased on information that is readily available locally. If,however, the energy source alternatives include one or moreoffsite sources, in addition to the algorithms required tocompare the sou
19、rce emissions, a communications capabilitythat provides access to energy source carbon content or emis-sions characteristics would be required. The key point is thatthe EMS would not be simply monitoring and maintainingoperating conditions such as temperatures and airflows, butwould be continuously
20、evaluating energy source alternativesto minimize emissions, or some combination of emissions,energy usage and energy costs. UTILITY INTERACTIONS AND SMART GRIDA relatively recent, and ongoing, development involvesreal-time communication between the building EMS andutilities via the internet, private
21、 network or other securechannel, a concept know as smart grid. This type of tech-nology would enable end users (consumers) to obtaincurrent information from different utilities regardingparameters such as pricing and emissions, including CO2, asshown in Figure 1. In this figure, each utility could h
22、ave adifferent average rate of CO2production per unit of electri-cal power, (kg/s-kW)(lb/s-kW), since the power could becoming from a different mix of sources including fuel-firedplants or renewable resources. These values could also varywith time of day, weather conditions and operationalfactors, s
23、o a continuous updating would be required to staycurrent. There may also be merit in providing a value for themarginal CO2emissions for the utility, since that wouldcorrespond to the emissions associated with providing anadditional increment or decrement of electrical power,however the use of this f
24、actor would be complicated sinceoverall utility power demand is constantly changing, and themarginal contribution of each power source, along with thecombined marginal value, might be difficult to determine.Armed with the relevant emissions information along withother real time data such as costs, o
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