Environement Models

These models and simulations have been tagged “Environement”.

Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention    The cost ranges from ne
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention

The cost ranges from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.
In this simple model, cost can be interpreted here in a broad sense, as difficulty, which relates no only to monetary cost but also to things like current skill level of the farmer, for example.

A new loop is added to represent the likelihood of an adopted finding a potential adopter. This loop has very little effect on the evolution of Adopters. Why?
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention    The cost ranges from ne
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention

The cost ranges from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.
In this simple model, cost can be interpreted here in a broad sense, as difficulty, which relates no only to monetary cost but also to things like current skill level of the farmer, for example.

A new loop is added to represent the likelihood of an adopted finding a potential adopter. This loop has very little effect on the evolution of Adopters. Why?
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention    The cost ranges from ne
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention

The cost ranges from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.
In this simple model, cost can be interpreted here in a broad sense, as difficulty, which relates no only to monetary cost but also to things like current skill level of the farmer, for example.

A new loop is added to represent the likelihood of an adopted finding a potential adopter. This loop has very little effect on the evolution of Adopters. Why?
Voici une simulation d'un cycle de climatisation dans pièce.    EXEMPLE DE CONFIGURATION HIVER  Température extérieur : 0°C  Température initiale de la pièce : 5°C     A chaque simulation vous pouvez faire varier les température de déclenchement des climatisations et chauffages.  Pour voir l'importa
Voici une simulation d'un cycle de climatisation dans pièce.

EXEMPLE DE CONFIGURATION HIVER
Température extérieur : 0°C
Température initiale de la pièce : 5°C

A chaque simulation vous pouvez faire varier les température de déclenchement des climatisations et chauffages.
Pour voir l'importance de l'isolation, faire de même avec les pertes de chaleur et gain de chaleur par conduction des murs.
Changer le nombre de personne ou leur gain de chaleur en une minute pour avoir l'effet de la population.

Les valeurs de stock de chaleur des personnes, du chauffage et de l'extérieurs doivent être très grandes devant leurs taux de transfert : ils ne doivent jamais s'épuiser.
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. The cost range from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.     In this simple m
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. The cost range from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.
In this simple model, cost can be interpreted here in an ample sense, as difficulty, which relates no only to monetary cost but also to things like current skill level of the farmer, for example.
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention    The cost ranges from ne
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. This is similar to the Bass model, I discovered today (20 Dec 2016). Another case of wheel re-invention

The cost ranges from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.
In this simple model, cost can be interpreted here in a broad sense, as difficulty, which relates no only to monetary cost but also to things like current skill level of the farmer, for example.

A new loop is added to represent the likelihood of an adopted finding a potential adopter. This loop has very little effect on the evolution of Adopters. Why?
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. The cost range from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.     In this simple m
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. The cost range from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.
In this simple model, cost can be interpreted here in an ample sense, as difficulty, which relates no only to monetary cost but also to things like current skill level of the farmer, for example.
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. The cost range from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.     In this simple m
Here we try to represent the diffusion of mitigation technologies across a population of farmers. The technology bring environmental benefits, but also costs to farmers. The cost range from negative (win:wins) to very high. We assume that adoption rate is influences by the cost.
In this simple model, cost can be interpreted here in an ample sense, as difficulty, which relates no only to monetary cost but also to things like current skill level of the farmer, for example.