Reducing CO2 Emissions for PV-CHP Hybrid Systems by Using a Hierarchical Control Algorithm

Author:

Kneiske Tanja M.1ORCID

Affiliation:

1. Fraunhofer Institute for Energy Economics and Energy System Technology (IEE), Joseph-Beuys-Str. 8, 34117 Kassel, Germany

Abstract

National targets for CO2 reduction in the German building sector have stagnated due to low refurbishment rates. This paper proposes an alternative approach using highly efficient, decentralized energy systems. By combining photovoltaic (PV) systems and combined heat and power (CHP) plants controlled by a modified hierarchical control algorithm, CO2 emissions can be reduced. Results from a single-family home show a 13% CO2 reduction with only 11% higher operational costs on heating days. On summer days, up to 50% CO2 emissions can be avoided without additional costs. The control algorithm easily adapts to changing input parameters, making it suitable for different countries and business cases. Overall, with its modified control, the PV-CHP hybrid system can effectively reduce CO2 emissions and adapt to varying conditions. The control can be easily used for other energy systems, like fuel cells or heat pumps.

Funder

Federal Ministry for Economic Affairs and Energy

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference23 articles.

1. Comparison of control approaches for variable speed air source heat pumps considering time variable electricity prices and PV;Fischer;Appl. Energy,2017

2. Gelleschus, R., Battiger, M., Stange, P., and Bocklisch, T. (2018, January 13–15). Comparison of optimization solvers Raduin the model predictive control of a PV-battery-heat pump system. Proceedings of the 12th International Renewable Energy Storage Conference, IRES 2018, Duesseldorf, Germany.

3. Smart grid and PV driven ground heat pump as thermal battery in small buildings for optimized electricity consumption;Calabrese;Sol. Energy,2018

4. Boosting the share of onsite PV-electricity utilization by optimized scheduling of a heat pump using buildings thermal inertia;Toradmal;Appl. Therm. Eng.,2018

5. Optimal residential model predictive control energy management performance with PV microgeneration;Godina;Comput. Oper. Res.,2018

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