owner is normally <strong>on</strong>ly interested in lowering theenergy c<strong>on</strong>sumpti<strong>on</strong>, while the district heating companyis more interested in being able to optimize the wholeproducti<strong>on</strong> <strong>and</strong> distributi<strong>on</strong> process. Optimizing theproducti<strong>on</strong> normally translates to avoiding expensive<strong>and</strong>, more often than not, envir<strong>on</strong>mentally unsoundpeak load boilers or trying to move heat load dem<strong>and</strong>in time in order to maximize utility during combinedheat <strong>and</strong> power generati<strong>on</strong>. Basically, from theperspective of the district heating company it is aquesti<strong>on</strong> of finding a balance between loweringexpensive heat load dem<strong>and</strong> while still selling as muchenergy as possible. Implementing this <strong>on</strong> a systemwide scale requires complex coordinati<strong>on</strong> c<strong>on</strong>trolstrategies that dynamically adapt to the state of thedistrict heating system [2]. On the local building levelthis is implemented by performing temporary heat loadreducti<strong>on</strong>s. On a local level these reducti<strong>on</strong>s arenormally very short, i.e. <strong>on</strong>e or a few hours, but theycan be of high intensity, even sometimes completelyshutting of the heat load during shorter periods of time.This behaviour requires the c<strong>on</strong>trol system to be highlyadaptive in relati<strong>on</strong> to the dynamics of the buildingsthermal inertia in order to avoid jeopardizing the indoorclimate. By coordinating such local heat loadreducti<strong>on</strong>s am<strong>on</strong>g a large group of buildings it ispossible to achieve system wide DMS <strong>and</strong> LC.Previous workMost previous work regarding temporary heat loadreducti<strong>on</strong>s deals with night time set-back. This is atechnique that has been around for a l<strong>on</strong>g time, <strong>and</strong> isbased <strong>on</strong> the general idea that if you decrease thedifference between the outdoor <strong>and</strong> indoor temperaturein a building you will save energy. One of the firstlarge-scale evaluati<strong>on</strong>s of night time set-back wasperformed in 1983 when buildings in Sweden, USA,Belgium <strong>and</strong> Denmark were evaluated. Thisexperiment c<strong>on</strong>cluded that night time set-back did notsave as much energy as was expected, at most a fewpercent for multi-apartment buildings [3]. In hindsight itis possible to see that these meagre results were ac<strong>on</strong>sequence of several interacting factors. First of allthe c<strong>on</strong>trol systems of the time were not capable ofproperly h<strong>and</strong>ling the transiti<strong>on</strong> from night time setbackto the original operati<strong>on</strong> mode, which causes ac<strong>on</strong>siderable over-compensati<strong>on</strong> of heat load when thesystems tries to find the new c<strong>on</strong>trol level. This extraboost in heat load during the mornings counteractslarge porti<strong>on</strong>s of the energy saving d<strong>on</strong>e during thenight. The theoretical part of the experiment also had afew draw-backs, e.g. assuming optimally adjustedradiator systems <strong>and</strong> linear relati<strong>on</strong>s between indoortemperature <strong>and</strong> energy savings. Other articles showthat there is indeed a substantial level of energy savingto be found by c<strong>on</strong>trolling the local heat load [5].The <str<strong>on</strong>g>12th</str<strong>on</strong>g> <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> <str<strong>on</strong>g>Symposium</str<strong>on</strong>g> <strong>on</strong> <strong>District</strong> <strong>Heating</strong> <strong>and</strong> <strong>Cooling</strong>,September 5 th to September 7 th , 2010, Tallinn, Est<strong>on</strong>ia245Most of the previous work d<strong>on</strong>e <strong>on</strong> the subject is based<strong>on</strong> simulated results. This is expected since thedynamic thermal processes within a building areextremely complex <strong>and</strong> it is not surprising thatcomparis<strong>on</strong>s between measurements <strong>and</strong> calculati<strong>on</strong>ssometimes show large discrepancies. It is noted thatmost calculati<strong>on</strong>s are dependent <strong>on</strong> variables thatcannot be measured <strong>and</strong> verified, <strong>and</strong> that the buildingtime c<strong>on</strong>stant is really not a c<strong>on</strong>stant [6].EXPERIMENTAL METHODIn order to study the effects of temporary heat loadreducti<strong>on</strong>s we equipped a building with several wirelesstemperature sensors in order to measure thefluctuati<strong>on</strong>s in indoor temperature. The building inquesti<strong>on</strong>s is an office building with semi-light thermalcharacteristics (light c<strong>on</strong>struct with c<strong>on</strong>crete slab) <strong>and</strong> atime c<strong>on</strong>stant of about 150 hours [7]. The indoortemperature sensors were placed <strong>on</strong> different locati<strong>on</strong>swithin the building in order to get a good overview ofthe thermal behaviour of the indoor climate. In additi<strong>on</strong>to the existing outdoor temperature sensor an extrawireless sensor was also placed <strong>on</strong> the outside of thebuilding. Unlike the existing outdoor temperaturesensor the wireless <strong>on</strong>e was placed in a positi<strong>on</strong> wereit was fully exposed to any possible sunshine. Thisgave us an extra indicati<strong>on</strong> of the impact of free heatingthrough window areas, even though we did not haveany ability to measure the actual solar irradiance.In order to c<strong>on</strong>trol the district heating c<strong>on</strong>sumer stati<strong>on</strong>we c<strong>on</strong>nected a load c<strong>on</strong>trol platform for system wideLC <strong>and</strong> DSM [8]. This platform is based <strong>on</strong> a novelform of hardware <strong>and</strong> software which enables us tomanage the heat load of the substati<strong>on</strong> without anymajor alterati<strong>on</strong>s or any damage <strong>on</strong> the existinghardware. The software system is based <strong>on</strong> the opensource Linux operating system <strong>and</strong> is equipped with anapplicati<strong>on</strong> programming interface (API) for I/O. Thismakes it easy to apply additi<strong>on</strong>al sensors, e.g. formeasuring the forward <strong>and</strong> return temperatures of theradiator system. The platform also featuresc<strong>on</strong>necti<strong>on</strong>s to a database system which enables realtimelogging <strong>and</strong> analyse of sensor data. The actualheat load reducti<strong>on</strong>s are implemented by supplying theexisting c<strong>on</strong>trol system with adjusted outdoortemperatures, which gives us the ability to manage thebehaviour of the heat load without exchanging anyexisting hardware. This adjusted outdoor temperaturecan be managed with a resoluti<strong>on</strong> of at most 60sec<strong>on</strong>ds. The computer platform uses either Ethernetor GPRS modems to communicate with the database.In our case we used the existing Internet access in thebuilding. In additi<strong>on</strong> to this primary experimentalbuilding we also collected <strong>and</strong> analysed data frompreviously installed buildings using the same basiccomputer platform.
The <str<strong>on</strong>g>12th</str<strong>on</strong>g> <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> <str<strong>on</strong>g>Symposium</str<strong>on</strong>g> <strong>on</strong> <strong>District</strong> <strong>Heating</strong> <strong>and</strong> <strong>Cooling</strong>,September 5 th to September 7 th , 2010, Tallinn, Est<strong>on</strong>iaEnergy <strong>and</strong> heat load usage was primarily evaluated bystudying the dynamic differences between the forward<strong>and</strong> return temperature of the radiator system inrelati<strong>on</strong> to the flow. These readings were then verifiedby specificati<strong>on</strong>s from the district heating providerregarding energy c<strong>on</strong>sumpti<strong>on</strong> <strong>and</strong> momentary heatload usage.Using this set-up we scheduled different types oftemporary heat load reducti<strong>on</strong>s <strong>and</strong> studied theireffects <strong>on</strong> the measured data. During this study westudied three primary types of temporary heat loadreducti<strong>on</strong>s:system performs a c<strong>on</strong>trolled heat load recovery inorder to avoid unwanted heat load peaks after thereducti<strong>on</strong>.The same values are shown for a l<strong>on</strong>g heat loadreducti<strong>on</strong> in Figure 2. The heat load reducti<strong>on</strong> startsslightly before the 600 minute mark <strong>and</strong> c<strong>on</strong>tinues forseveral hours until about the 900 minute mark. Afterthat the c<strong>on</strong>trol system performs a c<strong>on</strong>trolled recoveryin order to return to the original operati<strong>on</strong>al state.L<strong>on</strong>g – Four to eight hours of c<strong>on</strong>tinuous heatload reducti<strong>on</strong> with different intensityShort – Up to <strong>on</strong>e hour l<strong>on</strong>g heat loadreducti<strong>on</strong>s with different intensityRecurring – Several short subsequent heatload reducti<strong>on</strong>s with short pauses in betweenWhen we studied the different types of heat loadreducti<strong>on</strong>s we took care in allowing the buildingsthermal process to return to its original state betweeneach reducti<strong>on</strong> so that the reducti<strong>on</strong>s would notinfluence each other. This was d<strong>on</strong>e in between eachreducti<strong>on</strong> except in those cases when then purposewas to explicitly study the interacti<strong>on</strong> betweensubsequent heat load reducti<strong>on</strong>s.EXPERIMENTAL METHODFigure 2: dT in radiator circuit with l<strong>on</strong>g heat loadreducti<strong>on</strong>Figure 3 shows the same values for a series ofrecurring heat loads.Figure 1 shows the temperature difference between theforward <strong>and</strong> return temperature in the radiator circuitduring a short heat load reducti<strong>on</strong>.Figure 1: dT in radiator circuit with short heat loadreducti<strong>on</strong>The heat load reducti<strong>on</strong> starts at about 60 minutes <strong>and</strong>c<strong>on</strong>tinues until the 120 minute mark. Between the 120minute mark <strong>and</strong> about the 160 mark the c<strong>on</strong>trol246Figure 3: dT in radiator circuit with recurring heat loadreducti<strong>on</strong>Each of the heat load reducti<strong>on</strong>s in Figure 3 is <strong>on</strong>e hourl<strong>on</strong>g intersected by <strong>on</strong>e hour l<strong>on</strong>g recovery periods.The first reducti<strong>on</strong> starts at the 60 minute mark <strong>and</strong>c<strong>on</strong>tinues until the 120 minute mark.
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the street the more shallow the sha
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academic access is facilitated as t
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The values presented do of course l
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