{ "cells": [ { "cell_type": "markdown", "id": "74294156", "metadata": {}, "source": [ "# Design study: finned tubes or a packed bed?\n", "\n", "PyTES models share their outputs, parameters, experiments and energy reference across\n", "families (DESIGN D4), so different designs compare like for like. This notebook uses that\n", "to answer a practical question:\n", "\n", "> A heat battery for domestic hot water should store about 2.5 kWh between 10 °C and 70 °C\n", "> and deliver 3 kW until its outlet falls below 40 °C. Should it be a finned-tube unit or a\n", "> packed bed of PCM capsules?\n", "\n", "The point is the workflow, not a verdict: with other materials, sizes or heat transfer\n", "coefficients the answer changes." ] }, { "cell_type": "code", "execution_count": 1, "id": "dd0eeeeb", "metadata": { "execution": { "iopub.execute_input": "2026-10-23T16:07:10.015757Z", "iopub.status.busy": "2026-10-23T16:07:10.015588Z", "iopub.status.idle": "2026-10-23T16:07:11.099566Z", "shell.execute_reply": "2026-10-23T16:07:11.098538Z" } }, "outputs": [], "source": [ "import pytes\n", "from pytes import plotting\n", "from pytes.experiments import Experiment, run_experiment\n", "from pytes.experiments import step as s\n", "\n", "T_cold, T_hot = 273.15 + 10, 273.15 + 70" ] }, { "cell_type": "markdown", "id": "abaf90e1", "metadata": {}, "source": [ "## Same PCM, same storable energy\n", "\n", "The finned-tube unit is the default sharp-front model, with one tube. The packed bed takes the\n", "same PCM, fluid and temperatures from it (parameters are layered by prefix, DESIGN D1; see [parameter layers](parameter_layers.ipynb)), and\n", "its cross-section is sized with `energy_between` so that it stores the same energy between\n", "10 °C and 70 °C." ] }, { "cell_type": "code", "execution_count": 2, "id": "77da4fa3", "metadata": { "execution": { "iopub.execute_input": "2026-10-23T16:07:11.101644Z", "iopub.status.busy": "2026-10-23T16:07:11.101259Z", "iopub.status.idle": "2026-10-23T16:07:11.149142Z", "shell.execute_reply": "2026-10-23T16:07:11.147850Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "finned tubes: 2.45 kWh\n", "packed bed: 2.45 kWh, cross-section 0.047 m2\n" ] } ], "source": [ "finned = pytes.SharpFrontModel()\n", "finned_values = finned.default_parameter_values\n", "capacity = pytes.energy_between(finned, T_cold, T_hot, finned_values)\n", "\n", "bed = pytes.PackedBedModel()\n", "bed_values = bed.default_parameter_values\n", "shared = (\n", " \"Reference temperature [K]\",\n", " \"Initial temperature [K]\",\n", " \"Inlet temperature [K]\",\n", ")\n", "for name, value in finned_values.items():\n", " if name.startswith((\"PCM \", \"Heat transfer fluid \")) or name in shared:\n", " bed_values[name] = value\n", "bed_values[\"Bed cross-sectional area [m2]\"] = 1\n", "per_area = pytes.energy_between(bed, T_cold, T_hot, bed_values)\n", "bed_values[\"Bed cross-sectional area [m2]\"] = capacity / per_area\n", "\n", "print(f\"finned tubes: {capacity / 3.6e6:.2f} kWh\")\n", "print(\n", " f\"packed bed: {pytes.energy_between(bed, T_cold, T_hot, bed_values) / 3.6e6:.2f} kWh, \"\n", " f\"cross-section {capacity / per_area:.3f} m2\"\n", ")" ] }, { "cell_type": "markdown", "id": "19e89184", "metadata": {}, "source": [ "## The same test for both\n", "\n", "Both start full (uniform at 70 °C) and deliver 3 kW with water at 10 °C, the flow adjusted to hold the power (see [experiments](experiments.ipynb)), until the outlet falls below 40 °C." ] }, { "cell_type": "code", "execution_count": 3, "id": "6f07e94b", "metadata": { "execution": { "iopub.execute_input": "2026-10-23T16:07:11.151645Z", "iopub.status.busy": "2026-10-23T16:07:11.151450Z", "iopub.status.idle": "2026-10-23T16:07:13.656196Z", "shell.execute_reply": "2026-10-23T16:07:13.655326Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "finned tubes: 3 kW for 34.5 min, delivering 1.72 kWh (70% of what it stores)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "packed bed: 3 kW for 25.5 min, delivering 1.28 kWh (52% of what it stores)\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "test = Experiment(\n", " [\n", " s.Power(\n", " 3e3,\n", " inlet_temperature=T_cold,\n", " termination=[\n", " s.outlet_temperature_below(273.15 + 40),\n", " s.mass_flow_rate_above(1.0),\n", " ],\n", " period=10,\n", " )\n", " ]\n", ")\n", "results = {}\n", "for name, model, values in [\n", " (\"finned tubes\", finned, finned_values),\n", " (\"packed bed\", bed, bed_values),\n", "]:\n", " results[name] = run_experiment(model, test, parameter_values=values)\n", " delivered = results[name][\"Discharged energy [J]\"].entries[-1]\n", " minutes = results[name][\"Time [min]\"].entries[-1]\n", " print(\n", " f\"{name}: 3 kW for {minutes:.1f} min, delivering {delivered / 3.6e6:.2f} kWh \"\n", " f\"({delivered / capacity:.0%} of what it stores)\"\n", " )\n", "\n", "fig, axes = plotting.plot_summary(list(results.values()), labels=list(results))" ] }, { "cell_type": "markdown", "id": "8d1dd00d", "metadata": {}, "source": [ "Both store the same energy, but the finned unit delivers about 70 % of it before the\n", "outlet cools, and the bed only about half: heat leaves its large paraffin capsules (55 mm\n", "across) slowly, through a low film coefficient and a poorly conducting PCM, so the outlet\n", "cools long before the capsules are spent.\n", "\n", "## What would make the bed competitive?\n", "\n", "Smaller capsules at the same porosity store the same energy but expose more surface and\n", "conduct over a shorter distance." ] }, { "cell_type": "code", "execution_count": 4, "id": "46a85ef0", "metadata": { "execution": { "iopub.execute_input": "2026-10-23T16:07:13.658004Z", "iopub.status.busy": "2026-10-23T16:07:13.657720Z", "iopub.status.idle": "2026-10-23T16:07:42.083579Z", "shell.execute_reply": "2026-10-23T16:07:42.081036Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "capsules of 55 mm: 3 kW for 25.5 min, 52% delivered\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "capsules of 30 mm: 3 kW for 38.7 min, 79% delivered\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "capsules of 15 mm: 3 kW for 45.0 min, 92% delivered\n" ] } ], "source": [ "for radius in (27.5e-3, 15e-3, 7.5e-3):\n", " values = bed_values.copy()\n", " values[\"Capsule radius [m]\"] = radius\n", " solution = run_experiment(bed, test, parameter_values=values)\n", " delivered = solution[\"Discharged energy [J]\"].entries[-1]\n", " print(\n", " f\"capsules of {2e3 * radius:4.0f} mm: 3 kW for \"\n", " f\"{solution['Time [min]'].entries[-1]:5.1f} min, {delivered / capacity:.0%} delivered\"\n", " )" ] }, { "cell_type": "markdown", "id": "ef793149", "metadata": {}, "source": [ "The same few lines answer the next question too: a different PCM, a higher film\n", "coefficient, more tubes. Every family exposes the same outputs and runs the same experiments,\n", "so a comparison is a loop over models and parameter values." ] } ], "metadata": { "kernelspec": { "display_name": "pytes (3.14.4)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.14.4" } }, "nbformat": 4, "nbformat_minor": 5 }