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Optimal solar energy utilization in building operation under weather uncertainty.

Number: pap. 3678

Author(s) : LIU X., PARITOSH P., AWALGAONKAR N. M., et al.

Summary

In this paper, we present an emulator that is built to evaluate the closed-loop operation of an integrated solar system under uncertain solar irradiance forecast. The energy system includes (i) A building-integrated photovoltaic/thermal (BIPV/T) system; (ii) An air-to-water solar-assisted heat pump; (iii) A thermal energy storage (TES) tank; (iv) A radiant floor heating system used to condition an open-plan office space. The outlet air from the solar collector of the BIPV/T system serves as the source side for the heat pump, the load side of which is connected to the TES tank. We model the solar irradiance as non-Gaussian stochastic disturbance affecting the cost and constraints, using a probabilistic time-series autoregressive model that takes sky-cover values from an external weather forecast service provider. Approximate dynamic programming methodology is deployed in the controller to solve the stochastic optimal control problem, and achieve good solution quality. The emulator couples the physical system models in TRNSYS with the stochastic model predictive controller developed in Python and MATLAB. The results show that the proposed approach saves up to 44% of the electricity consumption for heating in a winter month, compared to a well-tuned rule-based controller.

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Pages: 8

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Details

  • Original title: Optimal solar energy utilization in building operation under weather uncertainty.
  • Record ID : 30025065
  • Languages: English
  • Subject: Environment
  • Source: 2018 Purdue Conferences. 5th International High Performance Buildings Conference at Purdue.
  • Publication date: 2018/07/09

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