Optimal utilization of a boiler, combined heat and power installation, and heat buffers in horticultural greenhouses

Abstract In the daily operation of a greenhouse, decisions must be made about the best deployment of equipment for generating heat and electricity. The purpose of this paper is twofold: (1) To demonstrate the feasibility and flexibility of an optimal control framework for allocating heat and electricity demand to available equipment, by application to two different configurations used in practice. (2) To show that for a given energy and electricity demand benefit can be obtained by minimizing costs during resource allocation. The allocation problem is formulated as an optimal control problem, with a pre-defined heat and electricity demand pattern as constraints. Two simplified, yet realistic, configurations are presented, one with a boiler and heat buffer, and a second one with an additional combined heat and power generator (CHP) and a second heat buffer. A direct comparison with the grower is possible on those days where the other equipment that was at the grower’s disposal was not used (63 days in the available 2012 data set). On those days overall costs savings of 20% were obtained. This shows that a given heat demand does not come with a fixed price to pay. Rather, benefits can be obtained by determining the utilization of the equipment by dynamic optimization. It also appears that prior knowledge of gas and electricity prices in combination with dynamic optimization has a high potential for cost savings in horticultural practice. To determine the factors influencing the outcome, different sensitivities to the optimization result were analyzed.

[1]  M. Zaheer-uddin,et al.  Optimal control of time-scheduled heating, ventilating and air conditioning processes in buildings , 2000 .

[2]  G. Straten,et al.  Day-to-night heat storage in greenhouses: 3 Co-generation of heat and electricity (CHP) , 2018, Biosystems Engineering.

[3]  Kankar Bhattacharya,et al.  Optimal Energy Management of Greenhouses in Smart Grids , 2015, IEEE Transactions on Smart Grid.

[4]  O. Bokhove,et al.  Optimizing a closed greenhouse , 2007 .

[5]  P.C.M. Vermeulen,et al.  Combined heat and power (CHP) as a possible method for reduction of the CO2 footprint or organic greenhouse horticulture , 2011 .

[6]  Amir Vadiee,et al.  Energy management strategies for commercial greenhouses , 2014 .

[7]  Kathy Steppe,et al.  Monitoring and energetic performance analysis of an innovative ventilation concept in a Belgian greenhouse , 2013 .

[8]  E. J. van Henten,et al.  Minimal heating and cooling in a modern rose greenhouse , 2015 .

[9]  G. Straten,et al.  Optimal control of greenhouse climate using minimal energy and grower defined bounds , 2015 .

[10]  Andrew G. Alleyne,et al.  Modeling and optimization of a combined cooling, heating and power plant system , 2012, 2012 American Control Conference (ACC).

[11]  R. V. Ooteghem Optimal Control Design for a Solar Greenhouse , 2010 .

[12]  Amir Vadiee,et al.  Energy management in horticultural applications through the closed greenhouse concept, state of the art , 2012 .

[13]  Lieve Helsen,et al.  The impact of thermal storage on the operational behaviour of residential CHP facilities and the overall CO2 emissions , 2007 .

[14]  P. Hansen,et al.  Implicit treatment of “zero or range” constraints in a model for minimum costfoundry alloys , 1989 .

[15]  Ryozo Ooka,et al.  A review on optimization techniques for active thermal energy storage control , 2015 .

[16]  F. Tap,et al.  Economics-based optimal control of greenhouse tomato crop production. , 2000 .

[17]  Ignacio E. Grossmann,et al.  Optimal scheduling of industrial combined heat and power plants under time-sensitive electricity prices , 2013 .

[18]  Hans Hoes,et al.  An aquifer thermal storage system in a Belgian hospital: Long-term experimental evaluation of energy , 2011 .

[19]  D. Müller,et al.  A comparison of thermal energy storage models for building energy system optimization , 2015 .

[20]  Hongbo Ren,et al.  Optimal sizing for residential CHP system , 2008 .

[21]  Manfred Morari,et al.  Use of model predictive control and weather forecasts for energy efficient building climate control , 2012 .

[22]  L. V. Willigenburg,et al.  The significance of crop co-states for receding horizon optimal control of greenhouse climate , 2002 .

[23]  B.H.E. Vanthoor,et al.  A model-based greenhouse design method , 2011 .

[24]  Pedro J. Mago,et al.  Combined cooling, heating and power: A review of performance improvement and optimization , 2014 .

[25]  H.-J. Husmann,et al.  Integrated optimization of energy supply systems in horticulture using genetic algorithms , 2001 .

[26]  Sara Rainieri,et al.  Modeling of a thermal energy storage system coupled with combined heat and power generation for the heating requirements of a University Campus , 2010 .

[27]  Mahmoud M. El-Halwagi,et al.  Optimal design of integrated CHP systems for housing complexes , 2015 .