Energy, economic and environmental performance simulation of a hybrid renewable microgeneration system with neural network predictive control

Abstract The use of artificial neural networks (ANNs) in various applications has grown significantly over the years. This paper compares an ANN based approach with a conventional on-off control applied to the operation of a ground source heat pump/photovoltaic thermal system serving a single house located in Ottawa (Canada) for heating and cooling purposes. The hybrid renewable microgeneration system was investigated using the dynamic simulation software TRNSYS. A controller for predicting the future room temperature was developed in the MATLAB environment and six ANN control logics were analyzed. The comparison was performed in terms of ability to maintain the desired indoor comfort levels, primary energy consumption, operating costs and carbon dioxide equivalent emissions during a week of the heating period and a week of the cooling period. The results showed that the ANN approach is potentially able to alleviate the intensity of thermal discomfort associated with overheating/overcooling phenomena, but it could cause an increase in unmet comfort hours. The analysis also highlighted that the ANNs based strategies could reduce the primary energy consumption (up to around 36%), the operating costs (up to around 81%) as well as the carbon dioxide equivalent emissions (up to around 36%).

[1]  Francesco Calise,et al.  Transient simulation of polygeneration systems based on PEM fuel cells and solar heating and cooling technologies , 2012 .

[2]  Francesco Calise,et al.  Dynamic simulation of a novel high-temperature solar trigeneration system based on concentrating photovoltaic/thermal collectors , 2013 .

[3]  Pierluigi Mancarella,et al.  Assessment of the greenhouse gas emissions from cogeneration and trigeneration systems. Part I: Models and indicators , 2008 .

[4]  F. Calise.  Design of a hybrid polygeneration system with solar collectors and a Solid Oxide Fuel Cell: Dynamic , 2011 .

[5]  Lei Chen,et al.  A new model predictive control scheme for energy and cost savings in commercial buildings: An airport terminal building case study , 2015 .

[6]  Euy Joon Lee,et al.  Performance analysis of a hybrid renewable microgeneration system in load sharing applications , 2014 .

[7]  Carlo Roselli,et al.  Calibration and validation of a thermal energy storage model: Influence on simulation results , 2014 .

[8]  Gholamhassan Najafi,et al.  Micro combined heat and power (MCHP) technologies and applications , 2013 .

[9]  Evgueniy Entchev,et al.  Investigation of a hybrid renewable– microgeneration energy system for power and thermal generation with reduced emissions , 2013 .

[10]  V. Rich.  Personal communication , 1989, Nature.

[11]  Anil Kumar,et al.  Historical and recent development of photovoltaic thermal (PVT) technologies , 2015 .

[12]  António E. Ruano,et al.  Neural networks based predictive control for thermal comfort and energy savings in public buildings , 2012 .

[13]  Daniele Fiaschi,et al.  Thermodynamic analysis of two micro CHP systems operating with geothermal and solar energy , 2012 .

[14]  M. Gaterell,et al.  Overheating investigation in UK social housing flats built to the Passivhaus standard , 2015 .

[15]  Peter Tzscheutschler,et al.  Impact of Support Mechanisms on Microgeneration Performance in OECD Countries , 2014 .

[16]  Muhammad Aamir,et al.  On Replacing PID Controller with ANN Controller for DC Motor Position Control , 2013, ArXiv.

[17]  Bertil Thomas,et al.  Artificial neural network models for indoor temperature prediction: investigations in two buildings , 2006, Neural Computing and Applications.

[18]  Tao Guo,et al.  Selection of working fluids for a novel low-temperature geothermally-powered ORC based cogeneration system , 2011 .

[19]  Ruzhu Wang,et al.  COMBINED COOLING, HEATING AND POWER: A REVIEW , 2006 .

[20]  Tin-Tai Chow,et al.  A Review on Photovoltaic/Thermal Hybrid Solar Technology , 2010, Renewable Energy.

[21]  M. Mohanraj,et al.  Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A review , 2012, Renewable and Sustainable Energy Reviews.

[22]  A. Kanarachos,et al.  Multivariable control of single zone hydronic heating systems with neural networks , 1998 .

[23]  DIRECTIVE 2004/8/EC OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 11 February 2004 on the promotion of cogeneration based on a useful heat demand in the internal energy market and amending Directive 92/42/EEC , 2004 .

[24]  Michaël Kummert,et al.  A neural network controller for hydronic heating systems of solar buildings , 2004, Neural Networks.

[25]  Evgueniy Entchev,et al.  Simulation of hybrid renewable microgeneration systems in load sharing applications , 2013 .

[26]  Ian Paul Knight,et al.  Residential Cogeneration Systems: European and Canadian Residential Non-HVAC Electric and DHW Load Profiles For Use in Simulating the Performance of Residential Cogeneration Systems , 2007 .

[27]  Francesco Calise,et al.  Design and dynamic simulation of a novel solar trigeneration system based on hybrid photovoltaic/thermal collectors (PVT) , 2012 .

[28]  Marc A. Rosen,et al.  Geothermal heat pump systems: Status review and comparison with other heating options , 2013 .

[29]  Maurizio Sasso,et al.  Dynamic simulations of hybrid energy systems in load sharing application , 2015 .

[30]  Dilip Sharma,et al.  Micro-trigeneration for energy sustainability: Technologies, tools and trends , 2014 .

[31]  Balaji Rengarajan,et al.  Operation method study based on the energy balance of an independent microgrid using solar-powered w , 2011 .

[32]  António E. Ruano,et al.  Prediction of building's temperature using neural networks models , 2006 .

[33]  Constantinos A. Balaras,et al.  Development of a neural network heating controller for solar buildings , 2000, Neural Networks.

[34]  Abdeen Mustafa Omer,et al.  Ground-source heat pumps systems and applications , 2008 .

[35]  Evgueniy Entchev,et al.  Energy and cost analyses of a hybrid renewable microgeneration system serving multiple residential and small office buildings , 2014 .

[36]  Zaid Chalabi,et al.  The impact of occupancy patterns, occupant-controlled ventilation and shading on indoor overheating risk in domestic environments , 2014 .

[37]  Judith Gurney.  BP Statistical Review of World Energy , 1985 .

[38]  Peter A. Jacobs,et al.  Dynamic performance estimation of small-scale solar cogeneration with an organic Rankine cycle using a scroll expander , 2013 .

[39]  M. Reuss,et al.  10 YEARS VDI 4640 - GERMAN GUIDELINES FOR GROUND COUPLED HEAT PUMPS, UTES AND DIRECT THERMAL USE OF THE UNDERGROUND , 2006 .

[40]  Yuvraj V. Parkale.  Comparison of ANN Controller and PID Controller for Industrial Water Bath Temperature Control System using MATLAB Environment , 2012 .

[41]  Jiejin Cai,et al.  Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural networks , 2009 .

[42]  Carlo Roselli,et al.  Distributed microtrigeneration systems , 2012 .

[43]  Daniele Fiaschi,et al.  Thermo-economic assessment of a micro CHP system fuelled by geothermal and solar energy , 2013 .

[44]  Philipp Blum,et al.  Greenhouse gas emission savings of ground source heat pump systems in Europe: A review , 2012 .

[45]  Carlo Roselli,et al.  Assessment of micro-cogeneration potential for domestic trigeneration , 2007 .

[46]  Michele Pinelli,et al.  Overview and Status of Thermophotovoltaic Systems , 2014 .

[47]  V. I. Ugursal,et al.  Residential cogeneration systems: Review of the current technology , 2006 .

[48]  Jeff Haberl,et al.  Development of a New ASHRAE Protocol for Measuring and Reporting the On-Site Performance of Buildings Except Low-Rise Residential Buildings , 2006 .

[49]  Ioan Sarbu,et al.  General review of ground-source heat pump systems for heating and cooling of buildings , 2014 .

[50]  Roland Clift,et al.  Distributed generation by energy from waste technology: A life cycle perspective , 2015 .

[51]  Soteris A. Kalogirou.  Neural Network Modeling of Energy Systems , 2013 .