Glass Furnace

Glass furnace (float-glass process) — regenerative end-port fired furnace.

Action space	Box((1,)), all actions in [-1, 1]
Observation space	Box((5,))
Tracked variable(s)	crown temperature (K)
Episode length	1600 steps (48000 s at 30 s per step)
Import	from target_gym import GlassFurnace, GlassFurnaceParams
Cite as	glass_furnace-v1

Action space

Actions are normalised to [-1, 1] and mapped onto the plant's real actuator range inside the environment.

#	meaning	min	max
0	fuel rate	-1	1

Observation space

5 values. Indices (0,) carry the tracked variable(s) that the reward scores.

Rewards

Crown-temperature tracking minus a normalised fuel cost.

Every environment in this suite scores on one contract: the reward is (tracking terms, multiplied) x (1 - weighted costs), bounded in [0, 1], and reaches 1 only while the target is held exactly. See Reward shaping.

Starting state

reset samples the initial condition and the target; state has 16 fields.

Episode end

Termination. See check_is_terminal.

Truncation. After 1600 steps.

Baselines

A tuned PID ships with this environment.

Arguments

parameter	default
delta_t	30
max_steps_in_episode	1600
LHV	5e+07
AFR	17
excess_air	0.1
c_p_air	1150
c_p_gas	1200
fuel_min	0.513
fuel_max	0.698
flame_rad_fraction	0.55
C_regen_node	3e+07
eps_regen_node	0.8
reversal_period	1500
reversal_dead_time	40
…	46 more, see the params dataclass