Abstract

SDSim is a novel solar dryer simulator based in a multicrop, inclined multipass solar air heather with in‐built thermal storage mathematical model. This model has been developed as a designing and developing tool used to study and forecast the behavior of the system model in order to improve its drying efficiency and achieving a return on the dryer investment. The main feature of this simulator is that most of the parameters are permitted to be changed during the simulation process allowing finding the more suitable system for any specific situation with a user‐friendly environment. The model has been evaluated in a real solar dryer system by comparing model estimates to collected data.

Highlights

  • Food drying is a very simple, ancient skill

  • The GPFARM DSS is currently being expanded to include 1 better strategic planning by simulating a greater range of crops over a wider geographic range and management systems, 2 incorporating a tactical planning component, and 3 adding a production, environmental, and economic risk component 13. Another farming simulator in this case for harvesting systems in agriculture is “CropSyst”, that is, a multiyear, multicrop, daily time step cropping systems simulation model developed to serve as an analytical tool to study the effect of climate, soils, and management on cropping systems productivity and the environment

  • The implemented equations in the simulator are generic, and for this reason the user can reproduce the behavior of any multitray crop drying system with inclined multipass solar air heather with in-built thermal storage varying its geometry and features

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Summary

Introduction

Food drying is a very simple, ancient skill. It is one of the most accessible and the most widespread processing technology. Typical drying times in solar dryers range from 1 to 3 days depending on sun, air movement, humidity, and the type of food to be dried 9, 10. The GPFARM DSS is currently being expanded to include 1 better strategic planning by simulating a greater range of crops over a wider geographic range and management systems, 2 incorporating a tactical planning component, and 3 adding a production, environmental, and economic risk component Another farming simulator in this case for harvesting systems in agriculture is “CropSyst”, that is, a multiyear, multicrop, daily time step cropping systems simulation model developed to serve as an analytical tool to study the effect of climate, soils, and management on cropping systems productivity and the environment.

Thermal Mathematical Modeling
Easy Java Simulations
SDSim Simulator Development
The Model
The View
Simulation Results
Conclusions
Full Text
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