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12th International Symposium on District Heating and Cooling

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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>iaFigure 4 shows the energy c<strong>on</strong>sumpti<strong>on</strong> in relati<strong>on</strong> tothe outdoor temperature during week l<strong>on</strong>g periods with<strong>and</strong> without heat load reducti<strong>on</strong>s implemented as LC.The squares are from periods without LC <strong>and</strong> thetriangles are from periods with LC. LC in this regardmeans that temporary heat load reducti<strong>on</strong>s are beingperformed in recurring sets throughout the week asl<strong>on</strong>g as the thermal inertia of the building allows it, i.ewithout jeopardizing the indoor climate. In this examplethe energy usage is about 8.2% lower during periods ofheat load reducti<strong>on</strong>s.Figure 6 shows recurring heat load reducti<strong>on</strong>s insteadof single l<strong>on</strong>g <strong>on</strong>es. It is clear that the building is able toresp<strong>on</strong>d to the c<strong>on</strong>trol scheme in this example also.The largest heat load reducti<strong>on</strong> during the recurringscheme is about 25%.Figure 6: Heat load reducti<strong>on</strong>s shown 24 hours withoutreducti<strong>on</strong>s (black), 24 hours with reducti<strong>on</strong>s (dark grey)<strong>and</strong> c<strong>on</strong>trol scheme for reducti<strong>on</strong>s (light grey)Figure 4: Energy usage in relati<strong>on</strong> to outdoor temperature.The squares are values during periods without LC, <strong>and</strong>triangles show periods with LCFigure 7 shows a range of indoor temperature readingsduring periods with heat load reducti<strong>on</strong> (triangles) <strong>and</strong>during periods without (squares). The averagedeviati<strong>on</strong> during heat load reducti<strong>on</strong> is about 0.29 whilethe average deviati<strong>on</strong> during periods without reducti<strong>on</strong>sis about 0.19.Figure 5 shows the heat load (kW) during 24 hourswhen using reducti<strong>on</strong>s compared to not usingreducti<strong>on</strong>s. The c<strong>on</strong>trol scheme is also added to thefigure in order to show when the reducti<strong>on</strong> wasperformed.Figure 5: Heat load showing 24 hours without reducti<strong>on</strong>s(black), 24 hours with reducti<strong>on</strong>s (dark grey) <strong>and</strong> c<strong>on</strong>trolscheme for reducti<strong>on</strong>s (light grey)Figure 5 clearly shows that the reducti<strong>on</strong> in heat loadclosely follows the c<strong>on</strong>trol scheme. The largest heatload reducti<strong>on</strong> is about 30% in this example.247Figure 7: Indoor temperature during periods with heatload reducti<strong>on</strong>s (squares) <strong>and</strong> during periods withoutheat load reducti<strong>on</strong>s (hourglass)Figure 8 shows readings from two different outdoortemperature sensors during a time period of two days.The graph shows the outdoor temperature sensorwhich is c<strong>on</strong>nected to the actual c<strong>on</strong>sumer sub-stati<strong>on</strong>in the building (black line). Normally these sensors areplaced somewhat in the shadow to avoid largefluctuati<strong>on</strong>s due to solar radiati<strong>on</strong>. We added anothertemperature sensor (grey line) in order to estimate the

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