Zoo-Tech is an introductory spread sheets applications applied to marine aquaculture production. It provides important, easy to understand calculations with user controlled information.

There are three sections in Zoo-Technical, Control and Calculations. 

Zoo-Technical

The simulation is based upon a site’s Thermal Profile, (mean weekly temperature), a general Daily Growth Model, and a Daily Feeding Table plus other information and models.

Control

The user can vary simulation (production) parameters which are grouped into 7 categories :

1. Period – Beginning, ending date
2. Stock – Number, mean weight, individual price
3. Mortality – Percentage and number
4. Daily Growth Model – Ranges, factors, default values
5. Environment – Consumption of O2, production NH3 + NH4, …
6. Cage – Size, length,
7. Food Characteristics – Granulo, price,

Calculations

In this example calculations are intermixed with their controls.  This is done in order to better demonstrate “cause and effect” and hyerartical control.  In SIM and SAP controls are centralized and seperated from calculations.

SIMulation & Real Data

Sim_real Simulation integrating real weekly production data with simulated results
Documentation is at Here
Zoo-Tech is an introductory spread sheet  applications applied to marine aquaculture production. It provides important, easy to understand calculations with user controlled information.
The simulation uses 5 sheets is and is based upon a site’s

• Thermal Profile, (mean weekly temperature in C°, by week, by year.),

• Daily Growth Model which  is a : general growth model for Sea Bass (D. labrax) weighing between 1 and 500 grams and a temperature between 14.5 and 26 °C.  The Model, is obtained from Leclercq & Tanguy, calculates the weekly weight gain but by changing parameters it is possible to simulate other species growth function.

• Daily Feeding Table (the mean fish weight (row), the temperature (column) and the (manufacture’s), suggested daily percentage (intersection) of food based upon the Biomass (number of individuals times their weight). This calculates into Kilos of food to distribute which calculates cost s and sales considerations.

• Plus other information and models for example which calculate food to nitrate production, ammonium and organic nitrogen production rate,  particulate matter production,  oxygen consumption and even the mean weekly current speed (minimum in meters/hour).

The user can vary most simulation parameters
SIM_REAL Combines REAL weekly production data, (i.e. number of fish moved (in/out), mortality, mean weight and kilos of food distributed) with user controlled initial data (i.e. starting date, number initial, etc.)  the user can quickly summarize production for short-term results based upon real and current trends.
In many simulations, each week’s calculated results are based upon the previous weeks result’s.  This can cause the simulated results to “drift” each week from the actual production data.   After several months the simulated results could vary greatly from real production data.