Microalgal TAG production strategies: why batch beats repeated-batch

Table 3 Parameter ranges for Monte-Carlo-sampled simulations

Monte-Carlo-sampled simulations	I ₀ (µmol m⁻² s⁻¹)	z (m)	C _{x, N= 0} (g m⁻³)	q ^{max, replete}_ph (mol g⁻¹ h⁻¹)	X _cho (g g⁻¹)	N (mg L⁻¹)	fs	Δ (hours)
Batch
Reference case	200–1500	0.02	2451	0.026	0.31	–	–	–
Variable I ₀, C _{x, N = 0,} z	200–1500	0.01–0.04	1226–4903	0.026	0.31	–	–	–
Variable I ₀, q ^max,replete_ph , X _cho	200–1500	0.02	2451	0.013–0.039	0.10–0.40	–	–	–
Repeated-batch
Reference case	200–1500	0.02	–	0.026	0.17	70	0.5	72
Variable I ₀, N, f, Δ	200–1500	0.02	–	0.026	0.17	14–204	0.1–0.9	24–192
Variable I ₀, q ^max,replete_ph , X _cho	200–1500	0.02	–	0.013–0.039	0.10–0.40	70	0.5	72
Variable I ₀, N, f, Δ, q ^max,replete_ph , X _cho	200–1500	0.02	–	0.013–0.039	0.10–0.40	14–204	0.1–0.9	24–192

Ranges in which parameters were varied for the Monte-Carlo-sampled simulations for batch TAG production. With I ₀: incident light intensity; z: reactor light path; C _{x, N = 0}: biomass concentration at onset of nitrogen (N) starvation, q ^{max, replete}_ph : maximum photosynthetic rate of nitrogen replete cells, X _cho: residual biomass fraction made during N-starvation; N: amount of nitrogen resupplied after each harvest; f: remaining fraction in the reactor after harvest; Δ: cycle duration

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