31:T40b,md`# Brampton Centre for Innovation - Update November 2, 2022
### Analysis Overview
The Brampton Centre for Innovation project involves the development of a new nine story (plus mechanical basement) academic building of approximately 23,200m2 containing library, classroom, conference, event, and office spaces. Introba has developed a whole building energy model using OpenStudio to analyze the energy use of the building for different scenarios, focusing on the reduction of energy use and optimization of occupant comfort. The baseline model was modeled following the minimum envelope requirements per CEC 2018 and the minimum ventilation requirements per ASHRAE 62.1. Lighting and equipment densities were modeled based on recommendations by the Building Analytics team. The energy model was used to study the thermal heating and cooling energy demand of the building, and the impact of various design parameters such as wall and roof insulation, window-to-wall ratios and glazing specifications.
`32:T5e1,md`
### Envelope Sensitivity A detailed parametric analysis has been conducted on the current design as discussed above, to understand the sensitivity of various envelope characteristics on building energy use. The following section present different charts where the horizontal axes show the incremental changes in the studied parameter, and the vertical axes show the impact of these changes on building Energy Use Intensity (EUI), Thermal Energy Demand Intensity (TEDI), Cooling Energy Demand Intensity (CEDI), Energy Demand Intensity (EDI), Peak Cooling and Peak Heating. The line represents the overall trend for each parameter, the current design values are marked by dark blue dots and the recommended values are marked by large light blue dots. An observation in these plots is that overall energy use and TEDI benefit from low window U values and high wall R values. A higher SHGC results in a lower thermal energy demand but higher cooling energy due to high solar gains in the summer. Therefore, an increase in the window SHGC results in a decrease in TEDI but an increase in the building EUI. It is possible to achieve a low TEDI and a reduced EUI by better solar control through appropriate shading elements across the facade. TEDI is not highly sensitive to the window-wall ratio because the windows already have a very low thermal conductance. Window-wall ratio has a higher impact on building EUI due to increased cooling energy resulting from higher heat gain in the summer. `33:T2938,sensitivies = { //general setup const config = { width: 960, cell: { height: 250, padding: 40 }, margin: { top: 60, right: 10, bottom: 30, left: 35 }, cols: 3, format: { "Window U": { newName: "Window U", convert: d => 1 / d, ticks: d => d3.format(".2f")(1 / d) }, "Infil": { newName: "Infiltration", //convert: d => 1 / d }, "WWR-S": { newName: "WWR South", //ticks: d3.format(",.0%"), }, "WWR-SW": { newName: "WWR Southwest", //ticks: d3.format(",.0%"), }, "WWR-N": { newName: "WWR North", //ticks: d3.format(",.0%"), }, "WWR-NE": { newName: "WWR Northeast", //ticks: d3.format(",.0%"), }, "WWRW": { newName: "WWR West", //ticks: d3.format(",.0%"), } }, units: unitSelection.unit, y: euiSwitch.y } const tooltip = d3.select("body").append("div") .attr("class", "tooltip") .style("border-radius", "3px") .style("pointer-events", "none") .style("display", "none") .style("position", "absolute") .style("z-index", "1000") .style("padding", "12px") .style("font-weight", "regular") .style("font-family", "Open Sans") .style("font-size", "12px") .style("background", "white") .style("box-shadow", "0 0 10px rgba(0,0,0,.25)") .style("color", "#333333") .style("line-height", "1.6") .style("pointer-events", "none"); const tipContent = (variable, p_value, EUI) => { let val = formatEUI_SI_IP(EUI); if (config.y === "PeakCooling") { val = `${_.round(EUI, 1)} Tons`; } return `${variable}: ${p_value}
${config.y === "PeakCooling" ? "Tons": config.y}: ${val}`; } //initiate the dictionary of scales for the cross hairs const markers = {}; //handles conversion for each variable in config.format const data = sensitivity_data.map(d => { let dd = d.data; for (const key in config.format) { if ("convert" in config.format[key]) { dd = dd.map(p => ({ ...p, [key]: config.format[key].convert(p[key]) })); } } return { variable: d.variable, data: dd }; }); //find the width of cells by dividing the total width by the number of cols config.cell.width = _.round( (config.width - config.margin.left - config.margin.right - config.cell.padding * (config.cols - 1)) / config.cols ); //csize the svg based on the number of rows const svg = d3.select(DOM.svg(config.width, (config.cell.height + config.margin.bottom + config.cell.padding) * _.ceil(data.length / config.cols) + config.margin.top - config.margin.bottom )); //all the y values are the same - could use a map here to get different scales for each small multiple const y = d3.scaleLinear() .domain(d3.extent(data.map(d => d.data.map(p => eui2(p[config.y]))).flat())) .range([config.cell.height, 0]).nice(); //create a map for all the x scales const x = new Map( Array.from( data.map(d => d.variable), key => [ key, d3.scaleLinear(d3.extent(data.filter(d => d.variable === key)[0].data.map(d => d[key])), [0, config.cell.width]) ] ) ); //create a group for each chart const chart = svg.selectAll("g") .data(data) .join("g") .attr("transform", (d, i) => { //position the group in its appropriate row and col const h = (i % config.cols) * (config.cell.width + config.cell.padding) + config.margin.left; const v = _.floor(i / config.cols) * (config.cell.height + config.margin.bottom + config.cell.padding) + config.margin.top; return `translate(${h},${v})` }); //run through each group chart.each(function(d, i) { //rename the variable if needed let name = d.variable; if (name in config.format) { if ("newName" in config.format[name]) { name = config.format[name].newName; } } //if there are format specifiers, use them, otherwise just use the default let xa = d3.axisBottom(x.get(d.variable)).ticks(6); if (d.variable in config.format) { if ("ticks" in config.format[d.variable]) { xa.tickFormat(config.format[d.variable].ticks); } } const xAxis = g => g .attr("transform", `translate(0,${config.cell.height})`) .call(xa) .call(g => g.select(".domain").remove()); const yAxis = g => { if (i % config.cols === 0) { g.call(d3.axisLeft(y).ticks(6)) .call(g => g.select(".domain").remove()); } } let y_label; if (config.units === "IP") { y_label = `${config.y} kBTU/ft²/yr`; } else { y_label = `${config.y} kWh/m²/yr`; } //put the y axis label in the top left corner of the first row/col. if (i % 3 === 0) { d3.select(this).append("g") .attr("transform", "translate(15, 20)") .append("text") .attr("font-size", 10) .attr("text-anchor", "start") .attr("opacity", 1) .html(y_label); } //general pattern for generating the interpolation line const line = d3.line() .x(dd => x.get(d.variable)(dd[d.variable])) .y(dd => y(eui2(dd[config.y]))) .curve(d3.curveCardinal.tension(0)); //horizontal grid lines d3.select(this).selectAll(".grid .horizontal") .data(_.range(8).slice(1).map(d => d * config.cell.height / 8)) .join("line") .attr("class", "grid") .attr("x1", (i % config.cols != 0) ? -config.cell.padding : 0) .attr("y1", d => d) .attr("x2", config.cell.width) .attr("y2", d => d); //vertical grid lines d3.select(this).selectAll(".grid .vertical") .data(_.range(8).slice(1).map(d => d * config.cell.width / 8)) .join("line") .attr("class", "grid") .attr("x1", d => d) .attr("y1", 0) .attr("x2", d => d) .attr("y2", config.cell.height); d3.select(this).append("g").call(xAxis); d3.select(this).append("g").call(yAxis); d3.select(this).append("rect") .attr("class", "frame") .attr("x", 0) .attr("y", 0) .attr("width", config.cell.width) .attr("height", config.cell.height); //add the variable labels d3.select(this).append("text") .attr("x", 0) .attr("y", -15) .attr("text-anchor", "start") .attr("font-size", 12) .style("font-family", "Open Sans") .html(name); d3.select(this).selectAll(".recommended") .data(d.data.filter(dd => dd.Recommended === "yes")) .join("circle") .attr("class", "recommended") .attr("cx", function(dd) { return x.get(d.variable)(dd[d.variable]); }) .attr("cy", function(dd) { return y(eui2(dd[config.y])); }) .attr("r", 10) .attr("fill", "#b4d6e8") .attr("opacity", 0.8); d3.select(this).append("path") .datum(d.data) .attr("class", "interpolation") .attr("fill", "none") .attr("stroke", "#1f77b4") .attr("stroke-width", 2) .attr("stroke-linejoin", "round") .attr("stroke-linecap", "round") .attr("d", line); d3.select(this).selectAll("points") .data(d.data) .join("circle") .attr("class", "points") .attr("cx", function(dd) { return x.get(d.variable)(dd[d.variable]); }) .attr("cy", function(dd) { return y(eui2(dd[config.y])); }) .attr("r", 3) .attr("display", dd => { if ((d.variable === "EPD" || d.variable === "LPD") && dd[d.variable] === 0.5) { return "none"; } else if (d.variable === "Glass SHGC" && dd[d.variable] === 0.3) { return "none"; } else { return null; } }) .attr("stroke", "#1f77b4") .style("fill", dd => dd.Baseline === "yes" ? "#1f77b4" : "#b4d6e8"); d3.select(this).selectAll("overlay") .data(d.data) .join("circle") .attr("class", "overlay") .attr("r", 18) .attr("stroke", "none") .style("fill", "#fff") .style("opacity", 0) .attr("cx", function(dd) { return x.get(d.variable)(dd[d.variable]); }) .attr("cy", function(dd) { return y(eui2(dd[config.y])); }) .on("mouseover", dd => { tooltip.style("display", null); let data = dd[d.variable]; if (d.variable in config.format) { if ("ticks" in config.format[d.variable]) { data = config.format[d.variable].ticks(data); } } tooltip.html(tipContent(d.variable, data, eui(dd[config.y]))) .style("left", (d3.event.pageX) + "px") .style("top", (d3.event.pageY - 28) + "px"); }) .on("mouseout", d => { tooltip.style("display", "none"); }); }); return svg.node(); }34:T2325,parcoords = { // const lookup = { // DHW: { // "0": "Boiler Top-up", // "1": "ASHP Top-up", // "2": "SHARC + ASHP Top-up" // } // } const config = { height: 500, width: 1150, margin: {top: 60, right: 5, bottom: 10, left: 40}, format: { "Wall R": { ticks: d3.format(".0f"), reverse: true, // numTicks: 4, // selection: [0, 435] }, "Roof R": { ticks: d3.format(".0f"), numTicks: [30, 35, 40, 50], reverse: true, // selection: [0, 435] }, "Window U": { ticks: d3.format(".2f"), numTicks: [0.17, 0.25, 0.32, 0.38], // reverse: true, // selection: [0, 435] }, "Window SHGC": { ticks: d3.format(".2f"), // numTicks: 4, // selection: [0, 435] }, "Infiltration": { // newName: "Infiltration (CFM/ft²)", ticks: d3.format(".2f"), numTicks: [0.07, 0.04, 0.01]}, "TEDI": { newName: `${unitSelection.unit === "IP" ? "TEDI kBTU/ft²/yr": "TEDI kWh/m²/yr"}`, anchor: "middle", ticks: d3.format(".1f"), numTicks: 10}, // selection: [340, 360]}, "EUI": { newName: `${unitSelection.unit === "IP" ? "EUI kBTU/ft²/yr": "EUI kWh/m²/yr"}`, anchor: "middle", ticks: d3.format(".1f"), numTicks: 10}, //selection: [0, 435]}, "EDI": { newName: `${unitSelection.unit === "IP" ? "EDI kBTU/ft²/yr": "EDI kWh/m²/yr"}`, anchor: "middle", ticks: d3.format(".1f"), numTicks: 10}, //selection: [0, 435]}, "CEDI": { newName: `${unitSelection.unit === "IP" ? "CEDI kBTU/ft²/yr": "CEDI kWh/m²/yr"}`, anchor: "middle", ticks: d3.format(".1f"), numTicks: 10}, //selection: [0, 435]}, "peak_cooling": { newName : "Peak Cooling", anchor: "middle", ticks: d3.format(".2f"), numTicks: 10, // selection: [0, 435] }, "peak_heating": { newName : "Peak Heating", // anchor: "start", ticks: d3.format(".2f"), numTicks: 10, // selection: [0, 435] }, }, units: unitSelection.unit }; const container = document.createElement("div"); container.setAttribute("class", "parcoords"); container.setAttribute("style", `width: ${config.width}px; height: ${config.height}px;`); const ctx = DOM.context2d(config.width, config.height); //ctx.transform(1, 0, 0, 1, config.margin.left, config.margin.top); const svg = d3.select(DOM.svg(config.width, config.height)); config.chartHeight = config.height - config.margin.top - config.margin.bottom; config.chartWidth = config.width - config.margin.right - config.margin.left; const dimensions = parametric_data.columns.filter(d => d != "dataset").filter(d => d != "time_of_peak_cooling").filter(d => d != "time_of_peak_heating").filter(d => d != "NaturalVent"); const data = parametric_data.map(d => { let dd = d; for (const key in config.format) { if ("convert" in config.format[key]) { dd = {...dd, [key]: config.format[key].convert(dd[key])}; } } return dd; }); const y = new Map( Array.from( dimensions, key => { const reverse = Object.keys(config.format).filter(d => "reverse" in config.format[d]); let range = reverse.indexOf(key) >= 0 ? [0, config.chartHeight] : [config.chartHeight, 0]; return [key, d3.scaleLinear(d3.extent(data, d => d[key]), range).nice()] } ) ); const x = d3.scalePoint().range([0, config.chartWidth]).domain(dimensions).padding(0); const c = svg.append("g").attr("transform", `translate(${config.margin.left}, ${config.margin.top})`); const axis = d3.axisLeft().ticks(5); ctx.globalCompositeOperation = 'darken'; const g = c.selectAll(".dimension") .data(dimensions) .enter().append("g") .attr("class", "dimension") .classed("nonactive", false) .attr("transform", d => `translate(${x(d)})`); g.append("g") .attr("class", "paraxis") .each(function(d) { const axis = d3.axisLeft(); let ya = axis.scale(y.get(d)); if (Object.keys(config.format).filter(key => "numTicks" in config.format[key]).indexOf(d) >= 0) { if (config.format[d].numTicks.length) { ya.tickValues(config.format[d].numTicks) } else { ya.ticks(config.format[d].numTicks); } } else { ya.ticks(5); } d3.select(this).call(ya); }) .call(g => g.selectAll("text") .clone(true).lower() .attr("fill", "none") .attr("stroke-width", 4) .attr("stroke-linejoin", "round") .attr("opacity", 0.6) .attr("stroke", "white")) .call(g => g.selectAll("text") .attr("x", -12)); g.append("text") .attr("class", "label") .style("text-anchor", d => { let anchor = "end"; if (Object.keys(config.format).filter(d => "anchor" in config.format[d]).indexOf(d) >= 0) { anchor = config.format[d].anchor; } return anchor }) .attr("y", -25) .attr("font-size", 10.5) .style("font-family", "Open Sans") .html(d => { let name = d; if (Object.keys(config.format).filter(d => "newName" in config.format[d]).indexOf(d) >= 0) { name = config.format[d].newName; } return name; }); const render = renderQueue(draw).rate(50); ctx.clearRect(0,0,config.width,config.height); render(data); g.append("g") .attr("class", "parbrush") .each(function(d) { y.get(d).brush = d3.brushY().extent([[-10,-1], [10,config.chartHeight + 1]]) .on("brush", brush) .on("end", brush); d3.select(this) .call(y.get(d).brush); if (Object.keys(config.format).filter(d => "selection" in config.format[d]).indexOf(d) >= 0) { d3.select(this).call(y.get(d).brush.move, config.format[d].selection); } }) .selectAll("rect") .attr("x", -10) .attr("width", 20); function brush() { render.invalidate(); const actives = []; svg.selectAll(".parbrush") .filter(function(d) { y.get(d).brushSelectionValue = d3.brushSelection(this); return d3.brushSelection(this); }) .each(function(d) { actives.push({ dimension: d, extent: d3.brushSelection(this).map(y.get(d).invert) }); }); const selected = data.filter(function(d) { return actives.every(function(active) { let result = active.extent[1] <= d[active.dimension] && d[active.dimension] <= active.extent[0]; const reverse = Object.keys(config.format).filter(d => "reverse" in config.format[d]); if (reverse.indexOf(active.dimension) >= 0) { result = active.extent[1] >= d[active.dimension] && d[active.dimension] >= active.extent[0]; } return result; }); }); ctx.clearRect(0,0,config.width,config.height); render(selected); } function draw(d) { // if (d.dataset === "interpolated") { // //context.globalAlpha = .1; // ctx.strokeStyle = "#1f77b4"; // ctx.lineWidth = 1; // } // else { // //context.globalAlpha = 1; // ctx.strokeStyle = "#1f77b4"; // ctx.lineWidth = 1.5; // } if (d.NaturalVent === NatVentSelection.nv){ ctx.strokeStyle ="#1f77b4"; console.log(NatVentSelection.nv); } else { ctx.strokeStyle = "#ffffff"; } ctx.beginPath(); var coords = dimensions.map(p => [x(p) + config.margin.left, y.get(p)(d[p]) + config.margin.top]); coords.forEach(function(p,i) { // this tricky bit avoids rendering null values as 0 if (p === null) { // this bit renders horizontal lines on the previous/next // dimensions, so that sandwiched null values are visible if (i > 0) { var prev = coords[i-1]; if (prev !== null) { ctx.moveTo(prev[0],prev[1]); ctx.lineTo(prev[0]+6,prev[1]); } } if (i < coords.length-1) { var next = coords[i+1]; if (next !== null) { ctx.moveTo(next[0]-6,next[1]); } } return; } if (i == 0) { ctx.moveTo(p[0],p[1]); return; } ctx.lineTo(p[0],p[1]); }); ctx.stroke(); } container.appendChild(ctx.canvas); container.appendChild(svg.node()); return container; }35:T4bb,color = { const lookup = { "Electricity":"#d6d231", "Natural Gas": "#e55725", "DHW":"#d52928", "Exterior Lights": "#808080", "Heating Energy":"#d52928", "Cooling Energy":"#1dbfcf", "Lights":"#d6d231", "Fans":"#bfbfbf", "Equipment":"#dddddd", "Ambulance Charging":"#dddddd", "Pumps":"#dddddd", "Other Gains":"#a17eb9", "Passive Solar Gains":"#a17eb9", "Lights Gains":"#a17eb9", "Internal Equipment Gains":"#a17eb9", "Occupant Gains":"#a17eb9", "Infiltration Losses":"#a17eb9", "Window Losses":"#a17eb9", "Conduction Losses":"#a17eb9", "Internal Gains":"#a17eb9", "Economizer":"#a17eb9", "Walls":"#f7aa6e", "Roofs":"#f7aa6e", "Floors":"#f7aa6e", "Infiltration":"#f7aa6e", "Windows":"#f7aa6e", "OA Heating":"#f7aa6e", "Reheat":"#f7aa6e", "Equipment Gains":"#6aadd6", "OA Cooling":"#6aadd6", "Dehumidification":"#6aadd6", "Conduction ":"#6aadd6", "Lighting":"#6aadd6", "Solar":"#6aadd6", "Occupants":"#6aadd6", "Cooling Load":"#1f77b4", "Cooling System":"#1f77b4", "Heating Load":"#e55725", "Heating System":"#e55725", }; return name => lookup[name]; }36:T5ff,renderQueue = function(func) { var _queue = [], // data to be rendered _rate = 1000, // number of calls per frame _invalidate = function() {}, // invalidate last render queue _clear = function() {}; // clearing function var rq = function(data) { if (data) rq.data(data); _invalidate(); _clear(); rq.render(); }; rq.render = function() { var valid = true; _invalidate = rq.invalidate = function() { valid = false; }; function doFrame() { if (!valid) return true; var chunk = _queue.splice(0,_rate); chunk.map(func); timer_frame(doFrame); } doFrame(); }; rq.data = function(data) { _invalidate(); _queue = data.slice(0); // creates a copy of the data return rq; }; rq.add = function(data) { _queue = _queue.concat(data); }; rq.rate = function(value) { if (!arguments.length) return _rate; _rate = value; return rq; }; rq.remaining = function() { return _queue.length; }; // clear the canvas rq.clear = function(func) { if (!arguments.length) { _clear(); return rq; } _clear = func; return rq; }; rq.invalidate = _invalidate; var timer_frame = window.requestAnimationFrame || window.webkitRequestAnimationFrame || window.mozRequestAnimationFrame || window.oRequestAnimationFrame || window.msRequestAnimationFrame || function(callback) { setTimeout(callback, 17); }; return rq; }37:T8cf,function input(config) { let { form, type = "text", attributes = {}, action, getValue, title, description, format, display, submit, options } = config; const wrapper = html`

`; if (!form) form = html``; Object.keys(attributes).forEach(key => { const val = attributes[key]; if (val != null) form.input.setAttribute(key, val); }); if (submit) form.append( html`` ); form.append( html`` ); if (title) form.prepend( html`

${title}

` ); if (description) form.append( html`

${description}

` ); if (format) format = typeof format === "function" ? format : d3format.format(format); if (action) { action(form); } else { const verb = submit ? "onsubmit" : type == "button" ? "onclick" : type == "checkbox" || type == "radio" ? "onchange" : "oninput"; form[verb] = e => { e && e.preventDefault(); const value = getValue ? getValue(form.input) : form.input.value; if (form.output) { const out = display ? display(value) : format ? format(value) : value; if (out instanceof window.Element) { while (form.output.hasChildNodes()) { form.output.removeChild(form.output.lastChild); } form.output.append(out); } else { form.output.value = out; } } form.value = value; if (verb !== "oninput") form.dispatchEvent(new CustomEvent("input", { bubbles: true })); }; if (verb !== "oninput") wrapper.oninput = e => e && e.stopPropagation() && e.preventDefault(); if (verb !== "onsubmit") form.onsubmit = e => e && e.preventDefault(); form[verb](); } while (form.childNodes.length) { wrapper.appendChild(form.childNodes[0]); } form.append(wrapper); return form; }38:T40b,html``39:[{"id":"b652d7f036658792cbda19080d3e6f6850cb150618674dfbc25500a66632136162eef11a270bc6a16529b6b1ce6649ea7a4af42e90fdaedd8a3bc5799f26a50a","href":"https://static.observableusercontent.com/files/b652d7f036658792cbda19080d3e6f6850cb150618674dfbc25500a66632136162eef11a270bc6a16529b6b1ce6649ea7a4af42e90fdaedd8a3bc5799f26a50a","name":"parametric_brampton_data@2.csv","type":"text/csv","lastModified":1667416528102.599,"size":1647830},{"id":"7f3e89a4290466ccf17a639862d300648cae124c54530da6b8a30a9520432ea7dcab988a13da9ed352ca38d8e6fe2e1379c14f8353584363247ef09ec467bd03","href":"https://static.observableusercontent.com/files/7f3e89a4290466ccf17a639862d300648cae124c54530da6b8a30a9520432ea7dcab988a13da9ed352ca38d8e6fe2e1379c14f8353584363247ef09ec467bd03","name":"parametric_brampton_data@3.csv","type":"text/csv","lastModified":1667597198302.894,"size":1647830},{"id":"7f3e89a4290466ccf17a639862d300648cae124c54530da6b8a30a9520432ea7dcab988a13da9ed352ca38d8e6fe2e1379c14f8353584363247ef09ec467bd03","href":"https://static.observableusercontent.com/files/7f3e89a4290466ccf17a639862d300648cae124c54530da6b8a30a9520432ea7dcab988a13da9ed352ca38d8e6fe2e1379c14f8353584363247ef09ec467bd03","name":"parametric_brampton_data@4.csv","type":"text/csv","lastModified":1668028749309.375,"size":1647830},{"id":"2b22c07c81a16b86d65f9db2023fac0b706f17780ba838e3f8244dfe250cb90d0ca33ae3881a82cfb7ab09493462645a0e116c70cc71e44b2f8e64037af7119c","href":"https://static.observableusercontent.com/files/2b22c07c81a16b86d65f9db2023fac0b706f17780ba838e3f8244dfe250cb90d0ca33ae3881a82cfb7ab09493462645a0e116c70cc71e44b2f8e64037af7119c","name":"sensitivity_brampton_data@1.csv","type":"text/csv","lastModified":1668030832017.654,"size":3528},{"id":"de6e001e68410b744bee2b43d73f0ca044ad4c76d88a396d2895d7d9afb532978624b9d34b1b86e9580a45125b6fb1ffd83d2682b5bc715420b2f47c333d2cce","href":"https://static.observableusercontent.com/files/de6e001e68410b744bee2b43d73f0ca044ad4c76d88a396d2895d7d9afb532978624b9d34b1b86e9580a45125b6fb1ffd83d2682b5bc715420b2f47c333d2cce","name":"sensitivity_brampton_data.csv","type":"text/csv","lastModified":1667332219760.899,"size":3864},{"id":"9a7eca7474080ac2393476cdf48a119bba783c3620315c125013724d5aa9c37714a838bbd984e769177025a7ef41eac066fa48221506127fcba998a3f3da6922","href":"https://static.observableusercontent.com/files/9a7eca7474080ac2393476cdf48a119bba783c3620315c125013724d5aa9c37714a838bbd984e769177025a7ef41eac066fa48221506127fcba998a3f3da6922","name":"parametric_Plot_Reduced.csv","type":"text/csv","lastModified":1683574668112.55,"size":11639642},{"id":"ef6dfaaffd3857e929f545c7f3ffa4c0692e8096522cce7d72ee1140a2214994a1ca77503ed037e9f911a779fd3bb77b5fe971865372d4a6d5bcaef118ece1bb","href":"https://static.observableusercontent.com/files/ef6dfaaffd3857e929f545c7f3ffa4c0692e8096522cce7d72ee1140a2214994a1ca77503ed037e9f911a779fd3bb77b5fe971865372d4a6d5bcaef118ece1bb","name":"stacked_data.csv","type":"text/csv","lastModified":1771527754873.825,"size":563}] 2f:{"title":"Brampton Centre for Innovation - Update","cells":[{"id":0,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":2023,"value":"md` $\"Model$

`","pinned":false,"hidden":false,"mode":"ojs"},{"id":3348,"value":"","pinned":true,"hidden":false,"mode":"ojs"},{"id":2971,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":2977,"value":"viewof euiSwitch = form(html``)","pinned":false,"hidden":false,"mode":"ojs"},{"id":2967,"value":"$33","pinned":false,"hidden":false,"mode":"ojs"},{"id":55,"value":"sensLegend = {\n \n const svg = d3.select(DOM.svg(960, 50))\n .style(\"font\", \"11px sans-serif\")\n .style(\"margin-bottom\", \"15px\");\n\n const g = svg.append(\"g\")\n .selectAll(\"g\")\n .data([\"Current Design\", \"Target\"])\n .enter().append(\"g\")\n .attr(\"transform\", (d, i) => `translate(${40}, ${i*24 + 10})`);\n\n g.append(\"circle\")\n .attr(\"r\", d => d === \"Current Design\" ? 3: 10)\n .attr(\"stroke\", d => d === \"Current Design\" ? \"#1f77b4\": \"none\")\n .style(\"fill\", d => d === \"Current Design\" ? \"#1f77b4\": \"#b4d6e8\" )\n .style(\"opacity\", d => d === \"Current Design\" ? 1: .6 );;\n\n g.append(\"text\")\n .attr(\"x\", 30)\n .attr(\"y\", 0)\n .attr(\"dy\", \"0.35em\")\n .text(d => d);\n \n return svg.node();\n}\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":59,"value":"viewof figure1 = html`Figure 1: Sensitivity of individual building performance parameters on building EUI.

`","pinned":false,"hidden":false,"mode":"ojs"},{"id":3091,"value":"md`\n
\n### Parametric Analysis\nTo better understand the effect of different performance characteristics on building EUI, Figure 2 below presents a parallel coordinates plot where each of the first six vertical axes represents a performance parameter and its evaluated properties, and the last axis shows the EUI resulting from the selected combinations. Putting constraints on one of more attributes, for instance, allows for the exploration of how changing the remaining attributes affects the EUI. The dark lines in the chart are results for combinations simulated using the whole building energy model. The lighter lines represent results from all other combinations that are generated using statistical surrogate models that utilize data-driven approximation techniques. Additionally, there is a natural ventilation \"On\" and \"Off\" toggle to preview the effects of natural ventilation on the evaluated parameters.\n\n

`","pinned":false,"hidden":false,"mode":"ojs"},{"id":3032,"value":"viewof unitSelection = form(html``)","pinned":false,"hidden":false,"mode":"ojs"},{"id":3267,"value":"viewof NatVentSelection = form(html``)","pinned":false,"hidden":false,"mode":"ojs"},{"id":2983,"value":"$34","pinned":false,"hidden":false,"mode":"ojs"},{"id":91,"value":"parLegend = {\n \n const svg = d3.select(DOM.svg(960, 60))\n .style(\"font\", \"11px sans-serif\")\n .style(\"margin-bottom\", \"15px\");\n\n const g = svg.append(\"g\")\n .selectAll(\"g\")\n .data([\"Modeled Data\"])\n .enter().append(\"g\")\n .attr(\"transform\", (d, i) => `translate(${40}, ${i*24 + 30})`);\n\n g.append(\"line\")\n .attr(\"x1\", 0)\n .attr(\"x2\", 20)\n .attr(\"y1\", 0)\n .attr(\"y2\", 0)\n .attr(\"stroke\", d => d === \"Interpolated Data\" ? \"#ddeaf2\": \"#1f77b4\")\n .attr(\"stroke-linejoin\", \"round\")\n .attr(\"stroke-linecap\", \"round\")\n .attr(\"stroke-width\", 2)\n\n g.append(\"text\")\n .attr(\"x\", 30)\n .attr(\"y\", 0)\n .attr(\"dy\", \"0.35em\")\n .text(d => d);\n \n return svg.node();\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":154,"value":"viewof figure2 = html`Figure 2: Effect of different combinations of parameter properties on building energy use intensity. Move or expand the selection box for each attribute.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":2695,"value":"stacked_data = (await FileAttachment(\"stacked_data.csv\").csv());","pinned":false,"hidden":false,"mode":"ojs"},{"id":2689,"value":"import {slider} from \"@jashkenas/inputs\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":608,"value":"ip_to = d => (unitSelection.unit === \"SI\") ? _.round(d / 3.412 / 0.092903, 2) : _.round(d, 2);","pinned":false,"hidden":false,"mode":"ojs"},{"id":39,"value":"$35","pinned":false,"hidden":false,"mode":"ojs"},{"id":11,"value":"_ = require('lodash@4.17.15/lodash.js').catch(() => window[\"_\"])","pinned":false,"hidden":false,"mode":"ojs"},{"id":5,"value":"formatEUI_SI_IP = d => {\n if (unitSelection.unit === \"IP\") {\n return `${_.round(d, 1)} kBtu/ft²/yr`;\n }\n else {\n return `${_.round(d / 3.412 * 10.76, 1)} kWh/m²/yr`;\n }\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":1047,"value":"formatAREA_SI_IP = d => {\n if (unitSelection.unit === \"SI\") {\n return `${_.round(d, 0)} m²`;\n }\n else {\n return `${_.round(d * 10.76, 0)} ft²`;\n }\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":2818,"value":"sankey(sankey_data)","pinned":false,"hidden":false,"mode":"ojs"},{"id":28,"value":"sankey_data = {\n let sankey_data = (await d3.csv(`https://da.introba.com/projects/utm-residence-hall/data/sankey_data.csv?version=${Math.floor(Math.random() * 100)}`)).map(({source, target, value}) => ({source: source, target: target, value: +value}));\n \n //http://elementa.nyc/yale/berekely/data/yale_sankey.csv\n //create a list of nodes and links\n const nodes = Array.from(new Set(sankey_data.map(d => [d.source, d.target]).flat()));\n const links = sankey_data.map(({source, target, value}) => ({\n source: nodes.indexOf(source),\n target: nodes.indexOf(target),\n value: value\n }));\n\n sankey_data = {nodes: nodes.map(d => ({name: d})), links: links};\n return sankey_data;\n} ","pinned":false,"hidden":false,"mode":"ojs"},{"id":495,"value":"stackedColor = {\n const lookup = {\n \"PV Budget\":\"#708238\",\n \"Lights\":\"#d6d231\",\n \"Plug Loads\":\"#dddddd\",\n \"Heating\":\"#d52928\",\n \"DHW\":\"#e55725\",\n \"Cooling\":\"#1dbfcf\",\n \"Pumps\":\"#adadad\",\n \"Fans\":\"#bfbfbf\",\n \"Proposed System\":\"#EEEEEE\",\n \"Ambulance Charging\": \"#808080\",\n \"TEDI\":\"#d52928\",\n \"GHGI\":\"#9CBD53\",\n \"PV Offset\":\"#9CBD53\",\n };\n\n return name => lookup[name];\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":31,"value":"sankey = {\n const config = {\n height: 500,\n width: 960,\n margin: {bottom: 10}\n }\n const sankey = d3.sankey()\n .nodeWidth(15)\n .nodePadding(10)\n .extent([[1, 1], [config.width, config.height - config.margin.bottom]])\n .nodeAlign(d3.sankeyLeft);\n return sankey;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":36,"value":"eui = d => (unitSelection.unit === \"IP\") ? _.round(d * 3.412 * 0.092903, 2) : _.round(d, 2);","pinned":false,"hidden":false,"mode":"ojs"},{"id":3166,"value":"eui2 = d => (unitSelection.unit === \"IP\") ? _.round(d, 2) : _.round(d / 3.412 / 0.092903, 2);","pinned":true,"hidden":false,"mode":"ojs"},{"id":66,"value":"sensitivity_data = {\n //add a random version number to avoid caching\n let data = await FileAttachment(\"sensitivity_brampton_data@1.csv\").csv({typed:true}); \n //group the data by independent variable\n const grouped = group(data, d => d.Variable);\n data = Array.from(grouped, d => ({variable: d[0], data: d[1].sort((a, b) => a[d[0]] - b[d[0]])}));\n return data;\n} ","pinned":false,"hidden":false,"mode":"ojs"},{"id":89,"value":"parametric_data = {\n let parametrics = (await FileAttachment(\"parametric_Plot_Reduced.csv\").csv({typed:true}));\n \n const columns = parametrics.columns;\n const data = parametrics.map(d => ({...d, EUI: eui2(d.EUI),TEDI: eui2(d.TEDI),CEDI: eui2(d.CEDI)}));\n data.columns = columns;\n\n\n return data;\n} ","pinned":false,"hidden":false,"mode":"ojs"},{"id":545,"value":"d3 = require('d3@5.9.2','d3-sankey@0.12.1');","pinned":false,"hidden":false,"mode":"ojs"},{"id":2086,"value":"d3format = d3.format","pinned":false,"hidden":false,"mode":"ojs"},{"id":86,"value":"$36","pinned":false,"hidden":false,"mode":"ojs"},{"id":547,"value":"$37","pinned":false,"hidden":false,"mode":"ojs"},{"id":68,"value":"import {group, groupSum, groupCount} from \"@mbostock/group\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":9,"value":"import {form} from \"@mbostock/form-input\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":25,"value":"$38","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W39","stdlib":"1","titling":"auto"}