This work presents a day-ahead demand response (DR) scheduling framework that quantifies the flexibility in non-residential buildings by using thermodynamic modeling, and assesses the benefits of DR in terms of three separate optimization variants: net payment minimization, energy self-sufficiency, and peak power reduction. We test the framework in a case study of a medical research facility located in a business park with local solar power generation. The flexible loads are four groups of independently-controlled medical freezers. Our DR framework generates optimal freezer operation and solar power production/curtailment schedules that are compared against a business-as-usual scenario with no DR. We perform simulations for cases with and without end-of-horizon temperature constraints. Results show that the flexibility harnessed from the freezers’ thermal mass for DR actions improves the price-responsiveness, energy independence, and peak power consumption of the system with respect to the business-as-usual scenario. Furthermore, adding end-of-horizon constraints ensures that the thermal buffer of the flexible load will be full for the next simulation time window.
CITATION STYLE
Morales González, R., Gibescu, M., Cobben, S., Bongaerts, M., de Nes-Koedam, M., & Vermeiden, W. (2019). Medical freezers as flexible load for demand response in a business park microgrid with local solar power generation. In Communications in Computer and Information Science (Vol. 992, pp. 23–43). Springer Verlag. https://doi.org/10.1007/978-3-030-26633-2_2
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