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Optimal Design and Operation of Energy Supply Systems of Energy Efficient Greenhouses Based on Dual Stage Multi-objective Optimization

Golzar, Farzin | 2019

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 52089 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Roshandel, Ramin; Hellweg, Stefanie
  7. Abstract:
  8. The purpose of this research is developing an analytical and decision-making tool that examines the interactions between greenhouse energy demand and yield production. Greenhouseholders can use the analytical tool to design and operate existintg and newly built greenhouses in an optimal way. Becides, the decision making tool helps planners and policymakers to improve the performance of greenhouses and extend greenhouse cultivation with respect to their economic or environmental objectives.In order to develop this decision making tool, existing models for greenhouses have been investigated and various algorithms have been combined to develop an integrated energy demand-plant growth model. The accuracy of the integrated model is examined using experimental data related to a plant growth period, which had an acceptable agreement with reality.The integrated model embeded in an economic optimization framework. The optimization results show that greenhouse optimization based on the integrated energy-plant growth model can reduce the cost of production by 49%. In addition, the price of energy carriers influences the choice of technology and other decision-making variables.Furthermore, in order to evaluate the environmental performance of the greenhouse, the integrated energy-plant growth model is combined with life-cycle analysis model to calculate the climate change impacts caused by the production of 1 kg of greenhouse tomato. Finally, in order to simultaneously evaluate the techno-economic and environmental performance of the greenhouse, minimum cost and minimum climate change impacts for production of 1 kg of yield are selected as objective fuctions of multi-objective optimization. The Pareto curve obtained from two-objective optimization shows that the optimum points of two objective functions differ greatly. These results indicate that the cost of producing 1 kg of the yield is1.5 $ in the minimum value of climate change impacts (0.9 kgCO2-eq/kg). On the other hand, in the minimum cost of yield (0.26 $/kg), climate change impact value is 2.3 kgCO2-eq/kg. This shows that the economic and environmental performance of the greenhouse are not in the same direction, and according to regional and national preferences, their weight should be determined in the objective function
  9. Keywords:
  10. Thermoeconomic Optimization ; Energy-Crop Growth Model ; Greenhouse ; Environmental Impact ; Multiobjective Optimization ; Energy Demand

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