function ghg(f, m, s) {
//f = the period of evaluation (frame), m = max capacity of the battery, s = starting charge of battery
const demand = f.map(d => Math.max(d.project_demand - d.pv_generation, 0));
const max_rate = m / 6;
//const low = year === "grid_CO2e_2020" ? 0.25: 0.40;
//const high = year === "grid_CO2e_2030" ? 0.75: 0.60;
const high = percentile(f, max_rate, s);
const low = 1 - high;
const charge_min = d3.quantile(f.map(d => d[year]), low);
const charge_max = d3.quantile(f.map(d => d[year]), high);
return f.map((d, i) => {
let discharge = 0;
if (d[year] >= charge_max) {
discharge = 1;
}
else if (d[year] <= charge_min) {
discharge = -1;
}
return {discharge: discharge, discharge_limit: max_rate};
});
}
function percentile(d, r, start_charge) {
if(year == "grid_CO2e_2030") {
d.sort((a, b) => b.grid_CO2e_2030 - a.grid_CO2e_2030);
}
else {
d.sort((a, b) => b.grid_CO2e_2020 - a.grid_CO2e_2020);
}
let charge = start_charge;
let i = 0;
while ((i<=23) && (charge <= r*(22-i))) {
let demand = d[i].project_demand <= d[i].pv_generation ? 0 : d[i].project_demand - d[i].pv_generation;
charge += Math.min(demand, r);
i++;
}
return (1-i/24);
}
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
