Pajot, C.; Delinchant, B.; Maréchal, Y.; Frésier, D. Impact of Heat Pump Flexibility in a French Residential Eco-District. Buildings2018, 8, 145.
Pajot, C.; Delinchant, B.; Maréchal, Y.; Frésier, D. Impact of Heat Pump Flexibility in a French Residential Eco-District. Buildings 2018, 8, 145.
Pajot, C.; Delinchant, B.; Maréchal, Y.; Frésier, D. Impact of Heat Pump Flexibility in a French Residential Eco-District. Buildings2018, 8, 145.
Pajot, C.; Delinchant, B.; Maréchal, Y.; Frésier, D. Impact of Heat Pump Flexibility in a French Residential Eco-District. Buildings 2018, 8, 145.
Abstract
This paper investigates how blocks of buildings could fit into load shedding strategies. It focuses in particular on what could be the effects on peak shaving, occupants’ thermal comfort or CO2 emissions reduction and how to quickly quantify them. To achieve this goal, we focused on a new residential district, thermally fed by heat pumps. Four modeling approaches were confronted in order to estimate buildings' responses to load shedding orders. On the one hand, a quick estimation of the peak shaving impact can rely on experimental results if the buildings' envelope and uses of the experimentation match those of the study case. On the other hand, thermal simulation models allow us to assess thermal comfort while considering the building physical response. Finally, a hybrid modeling approach can provide a good compromise between modeling rapidity and accuracy of the impacts estimation. At district scale, it may be necessary to mix modeling approaches, from experimental results to detailed thermal models. Accuracy is not guaranteed for all approaches so that the choice should be made carefully in regards to study needs. However, results are sufficient to compare the effects of load shedding strategies on peak shaving, thermal comfort, and CO2 emissions reductions.
Keywords
Peak Shaving; Demand Response; Block of Buildings; Thermal Model; TEASER
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
