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Merge origin/main into origin/dev-moritz

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Moritz Utcke
2025-01-12 14:25:35 +07:00
parent f16fb41db0
commit f8402a0136
54 changed files with 4907 additions and 130 deletions
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2
src/lib/Berechnungen/BedarfsausweisWohnen/BerechnungNutzenergiebedarfTrinkwarmwasser.ts
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@@ -10,7 +10,7 @@ import { linearInterpolation } from "js-interpolate"
* @param {BedarfsausweisWohnenClient} ausweis
* @param {GebaeudeAufnahmeClient} gebaeude_aufnahme
*/
export function berechnungNutzenergiebedarfTrinkwasser(ausweis: BedarfsausweisWohnenClient, gebaeude_aufnahme: GebaeudeAufnahmeClient) {
export function berechnungNutzenergiebedarfTrinkwarmwasser(ausweis: BedarfsausweisWohnenClient, gebaeude_aufnahme: GebaeudeAufnahmeClient) {
// A_NGF
const bezugsflaeche = gebaeude_aufnahme.nutzflaeche ?? 0;

20
src/lib/Berechnungen/BedarfsausweisWohnen/BerechnungWaermequellenAusAnlagentechnikTrinkwasser.ts
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@@ -1,5 +1,19 @@
import { VerbrauchsausweisWohnenClient } from "#components/Ausweis/types.js";
import { BedarfsausweisWohnenClient, GebaeudeAufnahmeClient } from "#components/Ausweis/types.js";
import { berechnungNutzenergiebedarfTrinkwasser } from "./BerechnungNutzenergiebedarfTrinkwarmwasser.js";
import { FixedLengthArray } from "./types.js";
export function berechnungWaermequellenAusAnlagentechnikTrinkwasser(ausweis: VerbrauchsausweisWohnenClient) {
export function berechnungWaermequellenAusAnlagentechnikTrinkwasser(ausweis: BedarfsausweisWohnenClient, gebaeude_aufnahme: GebaeudeAufnahmeClient) {
const trinkwasserWaermebedarf = berechnungNutzenergiebedarfTrinkwasser(ausweis, gebaeude_aufnahme);
const result = new Array(12).fill(0) as unknown as FixedLengthArray<number, 12>
for (let i = 0; i < 12; i++) {
const tageImMonat = new Date(0, i, 0).getDate();
const monatlicheTrinkwasserWaermebedarf = trinkwasserWaermebedarf.trinkwasserWaermebedarf / 365 * tageImMonat;
}
return result;
}

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src/lib/Berechnungen/BedarfsausweisWohnen/funktionAusnutzungsgrad.ts Normal file
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@@ -0,0 +1,84 @@
// Funktion zur Berechnung des Ausnutzungsgrades aus Tabelle 18
import { nevillePolynomialInterpolation } from "js-interpolate";
let waermequellensenkenverhaeltnis = 3.4; // Beispielwert - muss noch errechnet werden
const dataset = {
alleMonate: {
30: [ 0.999,0.992,0.978,0.956,0.927,0.893,0.856,0.818,0.78,0.742,0.706,0.671,0.638,0.608,0.579,0.553,0.528,0.505
,0.483,0.463,0.445,0.428,0.411,0.396,0.382,0.369,0.357,0.345,0.334,0.324,0.314,0.305,0.296,0.288,0.28,0.273,0.266,
0.259,0.253,0.246,0.22,0.198,0.181,0.166,0.153,0.142,0.133,0.125,0.117,0.111,0.105,0.1],
40: [ 1.0,0.997,0.99,0.975,0.954,0.926,0.892,0.855,0.817,0.778,0.739,0.702,0.667,0.634,0.603,0.574,0.547,0.522
,0.498,0.477,0.457,0.438,0.421,0.405,0.39,0.376,0.363,0.351,0.339,0.329,0.318,0.309,0.3,0.291,0.283,0.276,0.268,
0.261,0.255,0.249,0.221,0.199,0.181,0.166,0.154,0.143,0.133,0.125,0.118,0.111,0.105,0.1],
50: [ 1.0,0.999,0.995,0.986,0.97,0.948,0.918,0.883,0.845,0.805,0.765,0.726,0.688,0.652,0.619,0.588,0.559,0.533
,0.508,0.485,0.464,0.445,0.427,0.41,0.394,0.38,0.366,0.354,0.342,0.331,0.321,0.311,0.301,0.293,0.285,0.277,0.269,
0.262,0.256,0.249,0.222,0.2,0.182,0.167,0.154,0.143,0.133,0.125,0.118,0.111,0.105,0.1],
60: [ 1.0,1.0,0.998,0.992,0.981,0.963,0.937,0.904,0.867,0.826,0.785,0.743,0.704,0.666,0.631,0.598,0.568,0.54
,0.514,0.491,0.469,0.449,0.43,0.413,0.397,0.382,0.368,0.355,0.343,0.332,0.322,0.312,0.302,0.293,0.285,0.277,0.27,
0.263,0.256,0.25,0.222,0.2,0.182,0.167,0.154,0.143,0.133,0.125,0.118,0.111,0.105,0.1],
70: [ 1.0,1.0,0.999,0.996,0.988,0.973,0.951,0.921,0.884,0.843,0.8,0.757,0.716,0.676,0.639,0.605,0.574,0.545
,0.518,0.494,0.472,0.451,0.432,0.414,0.398,0.383,0.369,0.356,0.344,0.333,0.322,0.312,0.303,0.294,0.286,0.278,0.27,
0.263,0.256,0.25,0.222,0.2,0.182,0.167,0.154,0.143,0.133,0.125,0.118,0.111,0.105,0.1],
80: [1.0,1.0,0.999,0.998,0.992,0.981,0.962,0.934,0.898,0.857,0.813,0.769,0.725,0.684,0.646,0.61,0.578,0.548
,0.521,0.496,0.473,0.452,0.433,0.415,0.399,0.384,0.37,0.357,0.344,0.333,0.322,0.312,0.303,0.294,0.286,0.278,0.27,
0.263,0.256,0.25,0.222,0.2,0.182,0.167,0.154,0.143,0.133,0.125,0.118,0.111,0.105,0.1],
90: [ 1.0,1.0,1.0,0.999,0.995,0.986,0.97,0.944,0.91,0.869,0.824,0.778,0.733,0.69,0.651,0.614,0.581,0.55
,0.523,0.497,0.474,0.453,0.434,0.416,0.4,0.384,0.37,0.357,0.345,0.333,0.322,0.312,0.303,0.294,0.286,0.278,0.27,
0.263,0.256,0.25,0.222,0.2,0.182,0.167,0.154,0.143,0.133,0.125,0.118,0.111,0.105,0.1],
100: [ 1.0,1.0,1.0,0.999,0.997,0.99,0.976,0.953,0.92,0.879,0.833,0.786,0.739,0.695,0.654,0.617,0.583,0.552
,0.524,0.498,0.475,0.454,0.434,0.416,0.4,0.384,0.37,0.357,0.345,0.333,0.323,0.312,0.303,0.294,0.286,0.278,0.27,
0.263,0.256,0.25,0.222,0.2,0.182,0.167,0.154,0.143,0.133,0.125,0.118,0.111,0.105,0.1],
110: [ 1.0,1.0,1.0,0.999,0.998,0.993,0.981,0.96,0.928,0.887,0.841,0.792,0.744,0.699,0.657,0.619,0.584,0.553
,0.525,0.499,0.475,0.454,0.435,0.417,0.4,0.384,0.37,0.357,0.345,0.333,0.323,0.312,0.303,0.294,0.286,0.278,0.27,
0.263,0.256,0.25,0.222,0.2,0.182,0.167,0.154,0.143,0.133,0.125,0.118,0.111,0.105,0.1],
120: [ 1.0,1.0,1.0,1.0,0.999,0.995,0.985,0.966,0.935,0.895,0.847,0.798,0.748,0.702,0.659,0.621,0.586,0.554
,0.525,0.5,0.476,0.454,0.435,0.417,0.4,0.385,0.37,0.357,0.345,0.333,0.323,0.312,0.303,0.294,0.286,0.278,0.27,
0.263,0.256,0.25,0.222,0.2,0.182,0.167,0.154,0.143,0.133,0.125,0.118,0.111,0.105,0.1],
130: [ 1.0,1.0,1.0,1.0,0.999,0.996,0.988,0.971,0.942,0.901,0.853,0.802,0.752,0.704,0.661,0.622,0.587,0.554
,0.526,0.5,0.476,0.454,0.435,0.417,0.4,0.385,0.37,0.357,0.345,0.333,0.323,0.312,0.303,0.294,0.286,0.278,0.27,
0.263,0.256,0.25,0.222,0.2,0.182,0.167,0.154,0.143,0.133,0.125,0.118,0.111,0.105,0.1],
140: [ 1.0,1.0,1.0,1.0,0.999,0.997,0.991,0.975,0.947,0.907,0.858,0.806,0.755,0.706,0.662,0.623,0.587,0.555
,0.526,0.5,0.476,0.454,0.435,0.417,0.4,0.385,0.37,0.357,0.345,0.333,0.323,0.312,0.303,0.294,0.286,0.278,0.27,
0.263,0.256,0.25,0.222,0.2,0.182,0.167,0.154,0.143,0.133,0.125,0.118,0.111,0.105,0.1],
150: [ 1.0,1.0,1.0,1.0,0.999,0.998,0.992,0.979,0.952,0.912,0.863,0.809,0.757,0.708,0.663,0.623,0.588,0.555
,0.526,0.5,0.476,0.454,0.435,0.417,0.4,0.385,0.37,0.357,0.345,0.333,0.323,0.312,0.303,0.294,0.286,0.278,0.27,
0.263,0.256,0.25,0.222,0.2,0.182,0.167,0.154,0.143,0.133,0.125,0.118,0.111,0.105,0.1],
},
}
const waermeQuellenSenkenVerhaeltnis = [0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1,1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,
1.9,2,2.1,2.2,2.3,2.4,2.5,2.6,2.7,2.8,2.9,3,3.1,3.2,3.3,3.4,3.5,3.6,3.7,3.8,3.9,4,4.5,5,5.5,6,6.5,7,7.5,8,8.5,9,9.5,10];
export function funktionAusnutzungsgrad(waermequellensenkenverhaeltnis: number, zeitkonstane: number, monat: keyof typeof dataset) {
const data = dataset[monat]
const interpolations: number[] = []
for (const key in data) {
const values = data[key as unknown as keyof typeof data]
const interpolate = nevillePolynomialInterpolation(
values.map((value, i) => ({ x: waermeQuellenSenkenVerhaeltnis[i], y: value })),
values.length
)
interpolations.push(interpolate(waermequellensenkenverhaeltnis))
}
const interpolate = nevillePolynomialInterpolation(
interpolations.map((interpolation, i) => {
return {
x: Object.keys(data)[i],
y: interpolation
}
}),
interpolations.length
)
return interpolate(zeitkonstane)
}
console.log(funktionAusnutzungsgrad(waermequellensenkenverhaeltnis, 30, "alleMonate"))

180
src/lib/Berechnungen/BedarfsausweisWohnen/funktionBilanzInnentemperatur.ts Normal file
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// Funktion zur Berechnung der Bilanzinnentemperatur aus Tabelle 8 EFH oder Tabelle 10 MFH
import { nevillePolynomialInterpolation } from "js-interpolate";
import { any } from "node_modules/cypress/types/bluebird/index.js";
let wohneinheiten = 3;
const datasetEinfamilienHaus = {
Januar: {
50: [18.83, 18.71, 18.61, 18.38, 18.16, 18.05, 17.99, 17.97, 17.95],
90: [18.99, 18.87, 18.77, 18.54, 18.31, 18.20, 18.15, 18.12, 18.11],
130: [19.14, 19.02, 18.92, 18.68, 18.45, 18.34, 18.29, 18.26, 18.25],
},
Februar: {
50: [18.88, 18.76, 18.67, 18.44, 18.23, 18.13, 18.08, 18.05, 18.04],
90: [19.04, 18.93, 18.83, 18.60, 18.39, 18.29, 18.23, 18.21, 18.20],
130: [19.18, 19.07, 18.97, 18.74, 18.53, 18.42, 18.37, 18.34, 18.33],
},
März: {
50: [19.05, 18.95, 18.87, 18.68, 18.50, 18.42, 18.37, 18.35, 18.34],
90: [19.19, 19.09, 19.01, 18.82, 18.64, 18.55, 18.51, 18.49, 18.48],
130: [19.31, 19.21, 19.13, 18.94, 18.75, 18.67, 18.62, 18.60, 18.59],
},
April: {
50: [19.33, 19.26, 19.20, 19.07, 18.94, 18.88, 18.85, 18.84, 18.83],
90: [19.43, 19.36, 19.30, 19.17, 19.04, 18.98, 18.95, 18.93, 18.92],
130: [19.51, 19.44, 19.38, 19.25, 19.12, 19.06, 19.03, 19.01, 19.00],
},
Mai: {
50: [19.63, 19.60, 19.56, 19.49, 19.42, 19.39, 19.37, 19.36, 19.36],
90: [19.69, 19.65, 19.62, 19.55, 19.48, 19.44, 19.42, 19.42, 19.41],
130: [19.73, 19.70, 19.66, 19.59, 19.52, 19.49, 19.47, 19.46, 19.46],
},
Juni: {
50: [19.80, 19.77, 19.76, 19.72, 19.68, 19.66, 19.65, 19.64, 19.64],
90: [19.83, 19.80, 19.79, 19.75, 19.71, 19.69, 19.68, 19.67, 19.67],
130: [19.85, 19.83, 19.81, 19.77, 19.73, 19.71, 19.70, 19.70, 19.70],
},
Juli: {
50: [19.94, 19.93, 19.93, 19.91, 19.90, 19.90, 19.89, 19.89, 19.89],
90: [19.95, 19.94, 19.94, 19.92, 19.91, 19.91, 19.90, 19.90, 19.90],
130: [19.95, 19.95, 19.94, 19.93, 19.92, 19.91, 19.91, 19.91, 19.91],
},
August: {
50: [19.91, 19.90, 19.90, 19.88, 19.86, 19.86, 19.85, 19.85, 19.85],
90: [19.93, 19.92, 19.91, 19.89, 19.88, 19.87, 19.86, 19.86, 19.86],
130: [19.94, 19.93, 19.92, 19.90, 19.89, 19.88, 19.87, 19.87, 19.87],
},
September: {
50: [19.65, 19.61, 19.58, 19.51, 19.44, 19.41, 19.39, 19.39, 19.38],
90: [19.70, 19.66, 19.63, 19.56, 19.49, 19.46, 19.44, 19.44, 19.43],
130: [19.74, 19.71, 19.68, 19.60, 19.54, 19.50, 19.49, 19.48, 19.47],
},
Oktober: {
50: [19.35, 19.28, 19.23, 19.10, 18.97, 18.91, 18.88, 18.87, 18.86],
90: [19.44, 19.38, 19.32, 19.19, 19.07, 19.01, 18.98, 18.96, 18.95],
130: [19.53, 19.46, 19.40, 19.27, 19.15, 19.08, 19.05, 19.04, 19.03],
},
November: {
50: [19.01, 18.91, 18.83, 18.63, 18.45, 18.35, 18.31, 18.29, 18.28],
90: [19.16, 19.06, 18.97, 18.77, 18.59, 18.49, 18.45, 18.43, 18.42],
130: [19.28, 19.18, 19.09, 18.90, 18.71, 18.61, 18.57, 18.55, 18.53],
},
Dezember: {
50: [18.83, 18.71, 18.61, 18.38, 18.15, 18.04, 17.99, 17.96, 17.95],
90: [18.99, 18.87, 18.76, 18.53, 18.30, 18.19, 18.14, 18.11, 18.10],
130: [19.14, 19.02, 18.91, 18.67, 18.45, 18.33, 18.28, 18.25, 18.24],
},
};
const datasetMehrfamilienHaus = {
Januar: {
50: [19.41, 19.37, 19.33, 19.24, 19.16, 19.12, 19.10, 19.09, 19.08],
90: [19.50, 19.45, 19.41, 19.33, 19.24, 19.20, 19.18, 19.17, 19.17],
130: [19.57, 19.53, 19.49, 19.40, 19.32, 19.28, 19.26, 19.25, 19.24],
},
Februar: {
50: [19.44, 19.40, 19.36, 19.28, 19.20, 19.16, 19.14, 19.13, 19.13],
90: [19.52, 19.48, 19.44, 19.36, 19.28, 19.24, 19.22, 19.21, 19.21],
130: [19.59, 19.55, 19.51, 19.43, 19.35, 19.31, 19.29, 19.28, 19.28],
},
März: {
50: [19.53, 19.49, 19.46, 19.39, 19.32, 19.29, 19.27, 19.27, 19.26],
90: [19.60, 19.56, 19.53, 19.46, 19.39, 19.36, 19.34, 19.33, 19.33],
130: [19.66, 19.62, 19.59, 19.52, 19.45, 19.42, 19.40, 19.39, 19.39],
},
April: {
50: [19.66, 19.64, 19.62, 19.57, 19.52, 19.50, 19.49, 19.48, 19.48],
90: [19.71, 19.69, 19.67, 19.62, 19.57, 19.55, 19.54, 19.53, 19.53],
130: [19.76, 19.73, 19.71, 19.66, 19.61, 19.59, 19.58, 19.57, 19.57],
},
Mai: {
50: [19.82, 19.80, 19.79, 19.76, 19.74, 19.73, 19.72, 19.72, 19.72],
90: [19.84, 19.83, 19.82, 19.79, 19.77, 19.75, 19.75, 19.74, 19.74],
130: [19.87, 19.85, 19.84, 19.81, 19.79, 19.78, 19.77, 19.77, 19.76],
},
Juni: {
50: [19.90, 19.89, 19.88, 19.87, 19.85, 19.85, 19.84, 19.84, 19.84],
90: [19.91, 19.91, 19.90, 19.88, 19.87, 19.86, 19.86, 19.86, 19.86],
130: [19.93, 19.92, 19.91, 19.90, 19.88, 19.87, 19.87, 19.87, 19.87],
},
Juli: {
50: [19.97, 19.97, 19.96, 19.96, 19.96, 19.95, 19.95, 19.95, 19.95],
90: [19.97, 19.97, 19.97, 19.96, 19.96, 19.96, 19.96, 19.96, 19.96],
130: [19.98, 19.98, 19.97, 19.97, 19.96, 19.96, 19.96, 19.96, 19.96],
},
August: {
50: [19.96, 19.95, 19.95, 19.94, 19.94, 19.93, 19.93, 19.93, 19.93],
90: [19.96, 19.96, 19.96, 19.95, 19.94, 19.94, 19.94, 19.94, 19.94],
130: [19.97, 19.97, 19.96, 19.96, 19.95, 19.95, 19.95, 19.94, 19.94],
},
September: {
50: [19.82, 19.81, 19.80, 19.77, 19.75, 19.74, 19.73, 19.73, 19.73],
90: [19.85, 19.84, 19.82, 19.80, 19.77, 19.76, 19.76, 19.75, 19.75],
130: [19.87, 19.86, 19.85, 19.82, 19.80, 19.78, 19.78, 19.77, 19.77],
},
Oktober: {
50: [19.67, 19.65, 19.63, 19.58, 19.53, 19.51, 19.50, 19.50, 19.49],
90: [19.72, 19.70, 19.68, 19.63, 19.58, 19.56, 19.55, 19.54, 19.54],
130: [19.76, 19.74, 19.72, 19.67, 19.62, 19.60, 19.59, 19.58, 19.58],
},
November: {
50: [19.51, 19.47, 19.44, 19.36, 19.30, 19.26, 19.25, 19.24, 19.23],
90: [19.58, 19.54, 19.51, 19.44, 19.37, 19.33, 19.32, 19.31, 19.30],
130: [19.64, 19.60, 19.57, 19.50, 19.43, 19.39, 19.38, 19.37, 19.37],
},
Dezember: {
50: [19.41, 19.36, 19.32, 19.24, 19.15, 19.11, 19.09, 19.08, 19.08],
90: [19.49, 19.45, 19.41, 19.32, 19.24, 19.20, 19.18, 19.17, 19.16],
130: [19.57, 19.52, 19.49, 19.40, 19.31, 19.27, 19.25, 19.24, 19.24],
},
};
function getDataset(wohneinheiten: number) {
if (wohneinheiten < 3) {
return datasetEinfamilienHaus;
} else {
return datasetMehrfamilienHaus;
}
}
const dataset = getDataset(wohneinheiten);
// Für "Ohne Teilbeheizung" habe ich hier einfach 0 eingesetzt:
const HeizLast = [0, 5, 10, 25, 50, 75, 100, 125, 150];
// Um über die beiden Tabellen zu interpolieren können wir einfach zuerst über
// jede einzeln interpolieren und dann zwischen den Tabellen interpolieren.
// Falls wir also den Wert an Stelle Heizlast: 120, Zeitkonstante 100, Monat:
// Januar haben wollen:
export function funktionBilanzInnentemperatur(heizlast: number, zeitkonstane: number, monat: keyof typeof dataset) {
const data = dataset[monat]
const interpolations: number[] = []
for (const key in data) {
const values = data[key as unknown as keyof typeof data]
const interpolate = nevillePolynomialInterpolation(
values.map((value, i) => ({ x: HeizLast[i], y: value })),
values.length
)
interpolations.push(interpolate(heizlast))
}
const interpolate = nevillePolynomialInterpolation(
interpolations.map((interpolation, i) => {
return {
x: Object.keys(data)[i],
y: interpolation
}
}),
interpolations.length
)
return interpolate(zeitkonstane)
}
console.log(funktionBilanzInnentemperatur(120, 100, "Januar"))

86
src/lib/Berechnungen/BedarfsausweisWohnen/funktionMonatlicherBelastungsgrad.ts
View File

@@ -1,9 +1,10 @@
// Funktion zur Berechnung des monatlichen Belastungsgrades aus Tabelle 9 EFH (Januar, Zeitkonstante 90)
// Funktion zur Berechnung des monatlichen Belastungsgrades aus Tabelle 9 EFH und Tabelle 11 MFH
import { nevillePolynomialInterpolation } from "js-interpolate";
// Funktion zur Berechnung des monatlichen Belastungsgrades aus Tabelle 9 EFH (Zeitkonstante 90,130)
const dataset = {
let wohneinheiten = 3;
const datasetEinfamilienHausMittlereBelastung = {
Januar: {
50: [ 0.557, 0.554, 0.55, 0.543, 0.536, 0.533, 0.531, 0.53, 0.53 ],
90: [ 0.562, 0.559, 0.555, 0.548, 0.541, 0.538, 0.536, 0.535, 0.535 ],
@@ -66,6 +67,79 @@ const dataset = {
},
}
const datasetMehrfamilienHausMittlereBelastung = {
Januar: {
50: [0.575, 0.574, 0.573, 0.570, 0.567, 0.566, 0.566, 0.565, 0.565],
90: [0.578, 0.577, 0.575, 0.573, 0.570, 0.569, 0.568, 0.568, 0.568],
130: [0.580, 0.579, 0.578, 0.575, 0.572, 0.571, 0.571, 0.570, 0.570],
},
Februar: {
50: [0.548, 0.547, 0.546, 0.543, 0.541, 0.539, 0.539, 0.538, 0.538],
90: [0.551, 0.549, 0.548, 0.546, 0.543, 0.542, 0.541, 0.541, 0.541],
130: [0.553, 0.552, 0.550, 0.548, 0.545, 0.544, 0.543, 0.543, 0.543],
},
März: {
50: [0.463, 0.462, 0.461, 0.459, 0.457, 0.456, 0.455, 0.455, 0.455],
90: [0.465, 0.464, 0.463, 0.461, 0.459, 0.458, 0.458, 0.457, 0.457],
130: [0.467, 0.466, 0.465, 0.463, 0.461, 0.460, 0.459, 0.459, 0.459],
},
April: {
50: [0.327, 0.326, 0.326, 0.324, 0.323, 0.322, 0.321, 0.321, 0.321],
90: [0.329, 0.328, 0.327, 0.326, 0.324, 0.323, 0.323, 0.323, 0.323],
130: [0.330, 0.329, 0.328, 0.327, 0.325, 0.325, 0.324, 0.324, 0.324],
},
Mai: {
50: [0.179, 0.178, 0.178, 0.177, 0.176, 0.176, 0.176, 0.176, 0.175],
90: [0.179, 0.179, 0.179, 0.178, 0.177, 0.177, 0.176, 0.176, 0.176],
130: [0.180, 0.180, 0.179, 0.179, 0.178, 0.177, 0.177, 0.177, 0.177],
},
Juni: {
50: [0.100, 0.100, 0.099, 0.099, 0.099, 0.098, 0.098, 0.098, 0.098],
90: [0.100, 0.100, 0.100, 0.099, 0.099, 0.099, 0.099, 0.099, 0.099],
130: [0.101, 0.101, 0.100, 0.100, 0.099, 0.099, 0.099, 0.099, 0.099],
},
Juli: {
50: [0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030],
90: [0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030],
130: [0.031, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030, 0.030],
},
August: {
50: [0.042, 0.042, 0.042, 0.042, 0.042, 0.042, 0.042, 0.042, 0.042],
90: [0.043, 0.042, 0.042, 0.042, 0.042, 0.042, 0.042, 0.042, 0.042],
130: [0.043, 0.043, 0.043, 0.042, 0.042, 0.042, 0.042, 0.042, 0.042],
},
September: {
50: [0.173, 0.172, 0.172, 0.171, 0.170, 0.170, 0.170, 0.170, 0.170],
90: [0.173, 0.173, 0.173, 0.172, 0.171, 0.171, 0.170, 0.170, 0.170],
130: [0.174, 0.174, 0.173, 0.173, 0.172, 0.171, 0.171, 0.171, 0.171],
},
Oktober: {
50: [0.318, 0.317, 0.317, 0.315, 0.314, 0.313, 0.313, 0.312, 0.312],
90: [0.319, 0.319, 0.318, 0.317, 0.315, 0.314, 0.314, 0.314, 0.314],
130: [0.321, 0.320, 0.319, 0.318, 0.316, 0.316, 0.315, 0.315, 0.315],
},
November: {
50: [0.481, 0.480, 0.479, 0.477, 0.475, 0.474, 0.473, 0.473, 0.473],
90: [0.484, 0.483, 0.482, 0.479, 0.477, 0.476, 0.476, 0.475, 0.475],
130: [0.486, 0.485, 0.484, 0.481, 0.479, 0.478, 0.477, 0.477, 0.477],
},
Dezember: {
50: [0.578, 0.577, 0.576, 0.573, 0.570, 0.569, 0.569, 0.568, 0.568],
90: [0.581, 0.580, 0.578, 0.576, 0.573, 0.572, 0.571, 0.571, 0.571],
130: [0.583, 0.582, 0.581, 0.578, 0.575, 0.574, 0.574, 0.573, 0.573],
},
};
function getDatasetBelastung(wohneinheiten: number) {
if (wohneinheiten < 3) {
return datasetEinfamilienHausMittlereBelastung;
} else {
return datasetMehrfamilienHausMittlereBelastung;
}
}
const dataset = getDatasetBelastung(wohneinheiten);
// Für "Ohne Teilbeheizung" habe ich hier einfach 0 eingesetzt:
const HeizLast = [0, 5, 10, 25, 50, 75, 100, 125, 150];
@@ -73,7 +147,7 @@ const HeizLast = [0, 5, 10, 25, 50, 75, 100, 125, 150];
// jede einzeln interpolieren und dann zwischen den Tabellen interpolieren.
// Falls wir also den Wert an Stelle Heizlast: 120, Zeitkonstante 100, Monat:
// Januar haben wollen:
function crossInterpolate(heizlast: number, zeitkonstane: number, monat: keyof typeof dataset) {
export function funktionMonatlicherBelastungsgrad(heizlast: number, zeitkonstane: number, monat: keyof typeof dataset) {
const data = dataset[monat]
const interpolations: number[] = []
@@ -100,6 +174,4 @@ function crossInterpolate(heizlast: number, zeitkonstane: number, monat: keyof t
)
return interpolate(zeitkonstane)
}
console.log(crossInterpolate(120, 100, "Januar"));
}