Economic Model Predictive Control for Hot Water Based Heating Systems in Smart Buildings | Zendy

M. A. Ahmed Awadelrahman | Zendy; Yi Zong | Zendy; LI Hong-we | Zendy; Carsten Agert | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Economic Model Predictive Control for Hot Water Based Heating Systems in Smart Buildings

Author(s) -

M. A. Ahmed Awadelrahman,

Yi Zong,

LI Hong-we,

Carsten Agert

Publication year - 2017

Publication title -

energy and power engineering

Language(s) - English

Resource type - Journals

eISSN - 1949-243X

pISSN - 1947-3818

DOI - 10.4236/epe.2017.94b014

Subject(s) - model predictive control , control (management) , environmental science , engineering , architectural engineering , computer science , artificial intelligence

This paper presents a study to optimize the heating energy costs in a residential building with varying electricity price signals based on an Economic Model Predictive Controller (EMPC). The investigated heating system consists of an air source heat pump (ASHP) incorporated with a hot water tank as active Thermal Energy Storage (TES), where two optimization problems are integrated together to optimize both the ASHP electricity consumption and the building heating consumption utilizing a heat dynamic model of the building. The results show that the proposed EMPC can save the energy cost by load shifting compared with some reference cases.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research