From cd7e2dea25df23790b868177ef4b815c4e37e75b Mon Sep 17 00:00:00 2001 From: santoshphilip Date: Fri, 1 Nov 2013 00:35:21 -0700 Subject: [PATCH] all updates for ASHRAE subcommittee --- dist/eppy-0.4.3.tar.gz | Bin 0 -> 821153 bytes docs/HVAC_Tutorial.ipynb | 629 +++++++++++++++++- docs/a_loop.idf | 205 ++++++ docs/build/doctrees/HVAC_Tutorial.doctree | Bin 38474 -> 133293 bytes docs/build/doctrees/environment.pickle | Bin 1251470 -> 1255044 bytes docs/build/doctrees/eppy_api.doctree | Bin 24596 -> 25914 bytes docs/build/doctrees/index.doctree | Bin 5700 -> 5695 bytes docs/build/doctrees/installation.doctree | Bin 3454 -> 4223 bytes docs/build/doctrees/newfunctions.doctree | Bin 138102 -> 165600 bytes docs/c_loop.idf | 226 +++++++ docs/generated/.buildinfo | 2 +- docs/generated/HVAC_Tutorial.html | 351 +++++++++- docs/generated/HVAC_Tutorial.rst | 409 +++++++++++- .../HVAC_Tutorial_10_0.png | Bin 0 -> 86783 bytes .../HVAC_Tutorial_11_0.png | Bin 0 -> 86783 bytes 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AP5=M^ literal 0 HcmV?d00001 diff --git a/docs/HVAC_Tutorial.ipynb b/docs/HVAC_Tutorial.ipynb index 4c323207..0a23f154 100644 --- a/docs/HVAC_Tutorial.ipynb +++ b/docs/HVAC_Tutorial.ipynb @@ -23,12 +23,141 @@ "Conceptual Introduction to HVAC Loops" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Eppy builds threee kinds of loops for the energyplus idf file:\n", + "\n", + "1. Plant Loops\n", + "2. Condensor Loops\n", + "3. Air Loops\n", + "\n", + "All loops have two halves:\n", + "\n", + "1. Supply side\n", + "2. Demand Side\n", + "\n", + "The supply side provides the energy to the demand side that needs the energy. So the end-nodes on the supply side connect to the end-nodes on the demand side. \n", + "\n", + "The loop is made up of branches connected to each other. A single branch can lead to multiple branches through a **splitter** component. Multiple branches can lead to a single branch through a **mixer** component. \n", + "\n", + "Each branch is made up of components connected in series (in a line)\n", + "\n", + "Eppy starts off by building the shape or topology of the loop by connecting the branches in the right order. The braches themselves have a single component in them, that is just a place holder. Usually it is a pipe component. In an air loop it would be a duct component.\n", + "\n", + "The shape of the loop for the supply or demand side is quite simple. \n", + "\n", + "It can be described in the following manner for the supply side\n", + "\n", + "- The supply side starts single branch leads to a splitter\n", + "- The splitter leads to multiple branches\n", + "- these multiple branches come back and join in a mixer\n", + "- the mixer leads to a single branch that becomes end of the suppply side\n", + "\n", + "For the demand side we have:\n", + "\n", + "- The demand side starts single branch leads to a splitter\n", + "- The splitter leads to multiple branches\n", + "- these multiple branches come back and join in a mixer\n", + "- the mixer leads to a single branch that becomes end of the demand side\n", + "\n", + "The two ends of the supply side connect to the two ends of the demand side.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Diagramtically the the two sides of the loop will look like this::\n" + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "\n", + " Supply Side:\n", + " ------------\n", + "\n", + " -> branch1 -> \n", + " start_branch --> branch2 --> end_branch\n", + " -> branch3 ->\n", + "\n", + "\n", + "\n", + " Demand Side:\n", + " ------------\n", + "\n", + " -> d_branch1 -> \n", + " d_start_branch --> d_branch2 --> d_end_branch\n", + " -> d_branch3 ->\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In eppy you could embody this is a list" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "supplyside = ['start_brandh', [ 'branch1', 'branch2', 'branch3'], 'end_branch']\n", + "demandside = ['d_start_brandh', ['d_branch1', 'd_branch2', 'd_branch3'], 'd_end_branch']" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Eppy will build the build the shape/topology of the loop using the two lists above. Each branch will have a placeholder component, like a pipe or a duct::" + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + " \n", + " branch1 = --duct--" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we will have to replace the placeholder with the real components that make up the loop. For instance, branch1 should really have a pre-heat coil leading to a supply fan leading to a cooling coil leading to a heating coil::" + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + " \n", + " new_branch = pre-heatcoil -> supplyfan -> coolingcoil -> heatingcoil" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Eppy lets you build a new branch and you can replace branch1 with new_branch\n", + "\n", + "In this manner we can build up the entire loop with the right components, once the initial toplogy is right" + ] + }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ - "Plant loops and diagrams in eppy" + "Building a Plant loops" ] }, { @@ -40,6 +169,14 @@ "Let us try this out ans see how it works." ] }, + { + "cell_type": "heading", + "level": 3, + "metadata": {}, + "source": [ + "Building the topology of the loop" + ] + }, { "cell_type": "code", "collapsed": false, @@ -60,7 +197,7 @@ "language": "python", "metadata": {}, "outputs": [], - "prompt_number": 1 + "prompt_number": 4 }, { "cell_type": "code", @@ -76,7 +213,7 @@ "language": "python", "metadata": {}, "outputs": [], - "prompt_number": 2 + "prompt_number": 5 }, { "cell_type": "code", @@ -85,23 +222,36 @@ "# make the topology of the loop\n", "idf = IDF(StringIO('')) # makes an empty idf file in memory with no file name\n", "loopname = \"p_loop\"\n", - "sloop = ['sb0', ['sb1', 'sb2', 'sb3'], 'sb4']\n", - "dloop = ['db0', ['db1', 'db2', 'db3'], 'db4']\n", + "sloop = ['sb0', ['sb1', 'sb2', 'sb3'], 'sb4'] # supply side of the loop\n", + "dloop = ['db0', ['db1', 'db2', 'db3'], 'db4'] # demand side of the loop\n", "hvacbuilder.makeplantloop(idf, loopname, sloop, dloop)\n", "idf.saveas(\"hhh1.idf\")\n" ], "language": "python", "metadata": {}, "outputs": [], - "prompt_number": 3 + "prompt_number": 64 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We have made plant loop and saved it as hhh1.idf. \n", - "Now let us look at what the loop looks like. \n", - "\n", + "Now let us look at what the loop looks like. \n" + ] + }, + { + "cell_type": "heading", + "level": 3, + "metadata": {}, + "source": [ + "Diagram of the loop" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ "Eppy has a function that can draw the loops. \n", "We'll use this to view the loop diagram. \n", " \n", @@ -120,8 +270,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "This will output a image by name hhh1.png. \n", - "This image is shown below" + "This will output a image by name hhh1.png. This image is shown below. \n", + "\n", + "*Note: the supply and demnd sides are not connected in the diagram, but shown seperately for clarity*" ] }, { @@ -141,13 +292,25 @@ "png": 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KPoGG06lrOm16sgqvK1WAYLpSrwzlsuS7lZ988ol/Uqy7sfkkN8GG3z0c06SGTstRKZhO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\nV16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} ], - "prompt_number": 6 + "prompt_number": 7 + }, + { + "cell_type": "heading", + "level": 3, + "metadata": {}, + "source": [ + "Modifying the topology of the loop" + ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Let us make a new branch and replace the exisiting branch \"sb0\" that has the pipe sb0_pipe" + "Let us make a new branch and replace the exisiting branch \n", + "\n", + "The existing branch name is \"sb0\" and it contains a single pipe component sb0_pipe.\n", + "\n", + "Let us replace it with a branch that has a chiller that is connected to a pipe which is turn connected to another pipe. So the connections in the new branch would look like \"chiller-> pipe1->pipe2\"" ] }, { @@ -155,28 +318,39 @@ "collapsed": false, "input": [ "# make a new branch chiller->pipe1-> pipe2\n", + "\n", + "# make a new pipe component\n", "pipe1 = idf.newidfobject(\"PIPE:ADIABATIC\", 'np1')\n", + "\n", + "# make a new chiller\n", "chiller = idf.newidfobject(\"Chiller:Electric\".upper(), 'Central_Chiller')\n", + "\n", + "# make another pipe component\n", "pipe2 = idf.newidfobject(\"PIPE:ADIABATIC\", 'np2')\n", "\n", - "loop = idf.getobject('PLANTLOOP', 'p_loop')\n", - "branch = idf.getobject('BRANCH', 'sb0')\n", - "listofcomponents = [chiller, pipe1, pipe2]\n", + "# get the loop we are trying to modify\n", + "loop = idf.getobject('PLANTLOOP', 'p_loop') # args are (key, name)\n", + "# get the branch we are trying to modify\n", + "branch = idf.getobject('BRANCH', 'sb0') # args are (key, name)\n", + "listofcomponents = [chiller, pipe1, pipe2] # the new components are connected in this order\n", + "\n", + "newbr = hvacbuilder.replacebranch(idf, loop, branch, listofcomponents, fluid='Water')\n", + "# in \"loop\"\n", + "# this replaces the components in \"branch\" with the components in \"listofcomponents\"\n", "\n", - "newbr = hvacbuilder.replacebranch(idf, loop, branch, listofcomponents, 'Water', False)\n", "idf.saveas(\"hhh_new.idf\")" ], "language": "python", "metadata": {}, "outputs": [], - "prompt_number": 7 + "prompt_number": 71 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We have saved this as file \"hhh_new.idf\". \n", - "Let us draw the diagram of this file. " + "Let us draw the diagram of this file. (run this from eppy/eppy folder)" ] }, { @@ -202,11 +376,18 @@ "png": 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ZBBColgDBU3nkCZ7K40qptSfALHy1t09rrkWarSicMEJDCvQfqX4FFl54YZtn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\nhyF5ZsfLSSDyBDgDFfkqooAk8BcBt6UeVapUEYzg0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bZ65NIsXdMvSAykmKzpToL069fP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\nAQQQqB8BRqDqx5WjllhAAZGmvb3//vv+PlLjxo2rFTy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G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\nAqiC6dgRAQQQQAABBBBAAAEE4ibw/wFJ10NqcRwikQAAAABJRU5ErkJggg==\n" } ], - "prompt_number": 8 + "prompt_number": 9 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This diagram shows the new components in the branch" + ] }, { "cell_type": "heading", - "level": 2, + "level": 3, "metadata": {}, "source": [ "Traversing the loop" @@ -216,20 +397,420 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "It would be nice to move through the loop using functions \"next()\" and \"previous()\"\n", + "It would be nice to move through the loop using functions \"next()\" and \"prev()\"\n", "\n", "Eppy indeed has such functions\n", "\n", - "Let us try to traverse the loop above" + "Let us try to traverse the loop above. " ] }, { "cell_type": "code", "collapsed": false, - "input": [], + "input": [ + "# to traverse the loop we are going to call some functions ex_loopdiagrams.py, \n", + "# the program that draws the loop diagrams.\n", + "from eppy import ex_loopdiagram\n", + "fname = 'hhh_new.idf'\n", + "iddfile = '../eppy/resources/iddfiles/Energy+V8_0_0.idd'\n", + "edges = ex_loopdiagram.getedges(fname, iddfile)\n", + "# edges are the lines that draw the nodes in the loop. \n", + "# The term comes from graph theory in mathematics" + ], "language": "python", "metadata": {}, - "outputs": [] + "outputs": [], + "prompt_number": 51 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The above code gets us the edges of the loop diagram. Once we have the edges, we can traverse through the diagram. Let us start with the \"Central_Chiller\" and work our way down." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from eppy import walk_hvac\n", + "firstnode = \"Central_Chiller\"\n", + "nextnodes = walk_hvac.next(edges, firstnode)\n", + "print nextnodes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['np1']\n" + ] + } + ], + "prompt_number": 52 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "nextnodes = walk_hvac.next(edges, nextnodes[0])\n", + "print nextnodes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['np2']\n" + ] + } + ], + "prompt_number": 53 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "nextnodes = walk_hvac.next(edges, nextnodes[0])\n", + "print nextnodes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['p_loop_supply_splitter']\n" + ] + } + ], + "prompt_number": 54 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "nextnodes = walk_hvac.next(edges, nextnodes[0])\n", + "print nextnodes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['sb1_pipe', 'sb2_pipe', 'sb3_pipe']\n" + ] + } + ], + "prompt_number": 55 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This leads us to three components -> ['sb1_pipe', 'sb2_pipe', 'sb3_pipe']. Let us follow one of them" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "nextnodes = walk_hvac.next(edges, nextnodes[0])\n", + "print nextnodes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['p_loop_supply_mixer']\n" + ] + } + ], + "prompt_number": 56 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "nextnodes = walk_hvac.next(edges, nextnodes[0])\n", + "print nextnodes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['sb4_pipe']\n" + ] + } + ], + "prompt_number": 36 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "nextnodes = walk_hvac.next(edges, nextnodes[0])\n", + "print nextnodes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[]\n" + ] + } + ], + "prompt_number": 37 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We have reached the end of this branch. There are no more components. \n", + "\n", + "We can follow this in reverse using the function prev()" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "lastnode = 'sb4_pipe'\n", + "prevnodes = walk_hvac.prev(edges, lastnode)\n", + "print prevnodes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['p_loop_supply_mixer']\n" + ] + } + ], + "prompt_number": 44 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "prevnodes = walk_hvac.prev(edges, prevnodes[0])\n", + "print prevnodes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['sb1_pipe', 'sb2_pipe', 'sb3_pipe']\n" + ] + } + ], + "prompt_number": 45 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "prevnodes = walk_hvac.prev(edges, prevnodes[0])\n", + "print prevnodes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['p_loop_supply_splitter']\n" + ] + } + ], + "prompt_number": 46 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "prevnodes = walk_hvac.prev(edges, prevnodes[0])\n", + "print prevnodes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['np2']\n" + ] + } + ], + "prompt_number": 47 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "prevnodes = walk_hvac.prev(edges, prevnodes[0])\n", + "print prevnodes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['np1']\n" + ] + } + ], + "prompt_number": 48 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "prevnodes = walk_hvac.prev(edges, prevnodes[0])\n", + "print prevnodes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['Central_Chiller']\n" + ] + } + ], + "prompt_number": 49 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "prevnodes = walk_hvac.prev(edges, prevnodes[0])\n", + "print prevnodes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[]\n" + ] + } + ], + "prompt_number": 50 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "All the way to where the loop ends" + ] + }, + { + "cell_type": "heading", + "level": 2, + "metadata": {}, + "source": [ + "Building a Condensor loop" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We build the condensor loop the same way we built the plant loop. Pipes are put as place holders for the components. Let us build a new idf file with just a condensor loop in it." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "condensorloop_idf = IDF(StringIO('')) \n", + "loopname = \"c_loop\"\n", + "sloop = ['sb0', ['sb1', 'sb2', 'sb3'], 'sb4'] # supply side\n", + "dloop = ['db0', ['db1', 'db2', 'db3'], 'db4'] # demand side\n", + "theloop = hvacbuilder.makecondenserloop(condensorloop_idf, loopname, sloop, dloop)\n", + "condensorloop_idf.saveas(\"c_loop.idf\")\n", + "\n" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 61 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Again, just as we did in the plant loop, we can change the components of the loop, by replacing the branchs and traverse the loop using the functions next() and prev()" + ] + }, + { + "cell_type": "heading", + "level": 2, + "metadata": {}, + "source": [ + "Building an Air Loop" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Building an air loop is similar to the plant and condensor loop. The difference is that instead of pipes , we have ducts as placeholder components. The other difference is that we have zones on the demand side." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "airloop_idf = IDF(StringIO('')) \n", + "loopname = \"a_loop\"\n", + "sloop = ['sb0', ['sb1', 'sb2', 'sb3'], 'sb4'] # supply side of the loop\n", + "dloop = ['zone1', 'zone2', 'zone3'] # zones on the demand side\n", + "hvacbuilder.makeairloop(airloop_idf, loopname, sloop, dloop)\n", + "airloop_idf.saveas(\"a_loop.idf\")\n" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 69 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Again, just as we did in the plant and condensor loop, we can change the components of the loop, by replacing the branchs and traverse the loop using the functions next() and prev()" + ] } ], "metadata": {} diff --git a/docs/a_loop.idf b/docs/a_loop.idf new file mode 100644 index 00000000..33a211df --- /dev/null +++ b/docs/a_loop.idf @@ -0,0 +1,205 @@ + +AIRTERMINAL:SINGLEDUCT:UNCONTROLLED, + zone1DirectAir, !- Name + , !- Availability Schedule Name + zone1 Inlet Node, !- Zone Supply Air Node Name + autosize; !- Maximum Air Flow Rate + +AIRTERMINAL:SINGLEDUCT:UNCONTROLLED, + zone2DirectAir, !- Name + , !- Availability Schedule Name + zone2 Inlet Node, !- Zone Supply Air Node Name + autosize; !- Maximum Air Flow Rate + +AIRTERMINAL:SINGLEDUCT:UNCONTROLLED, + zone3DirectAir, !- Name + , !- Availability Schedule Name + zone3 Inlet Node, !- Zone Supply Air Node Name + autosize; !- Maximum Air Flow Rate + +ZONEHVAC:EQUIPMENTLIST, + zone1 equip list, !- Name + AirTerminal:SingleDuct:Uncontrolled, !- Zone Equipment 1 Object Type + zone1DirectAir, !- Zone Equipment 1 Name + 1, !- Zone Equipment 1 Cooling Sequence + 1; !- Zone Equipment 1 Heating or NoLoad Sequence + +ZONEHVAC:EQUIPMENTLIST, + zone2 equip list, !- Name + AirTerminal:SingleDuct:Uncontrolled, !- Zone Equipment 1 Object Type + zone2DirectAir, !- Zone Equipment 1 Name + 1, !- Zone Equipment 1 Cooling Sequence + 1; !- Zone Equipment 1 Heating or NoLoad Sequence + +ZONEHVAC:EQUIPMENTLIST, + zone3 equip list, !- Name + AirTerminal:SingleDuct:Uncontrolled, !- Zone Equipment 1 Object Type + zone3DirectAir, !- Zone Equipment 1 Name + 1, !- Zone Equipment 1 Cooling Sequence + 1; !- Zone Equipment 1 Heating or NoLoad Sequence + +ZONEHVAC:EQUIPMENTCONNECTIONS, + zone1, !- Zone Name + zone1 equip list, !- Zone Conditioning Equipment List Name + zone1 Inlet Node, !- Zone Air Inlet Node or NodeList Name + , !- Zone Air Exhaust Node or NodeList Name + zone1 Node, !- Zone Air Node Name + zone1 Outlet Node; !- Zone Return Air Node Name + +ZONEHVAC:EQUIPMENTCONNECTIONS, + zone2, !- Zone Name + zone2 equip list, !- Zone Conditioning Equipment List Name + zone2 Inlet Node, !- Zone Air Inlet Node or NodeList Name + , !- Zone Air Exhaust Node or NodeList Name + zone2 Node, !- Zone Air Node Name + zone2 Outlet Node; !- Zone Return Air Node Name + +ZONEHVAC:EQUIPMENTCONNECTIONS, + zone3, !- Zone Name + zone3 equip list, !- Zone Conditioning Equipment List Name + zone3 Inlet Node, !- Zone Air Inlet Node or NodeList Name + , !- Zone Air Exhaust Node or NodeList Name + zone3 Node, !- Zone Air Node Name + zone3 Outlet Node; !- Zone Return Air Node Name + +AIRLOOPHVAC, + a_loop, !- Name + , !- Controller List Name + , !- Availability Manager List Name + 0, !- Design Supply Air Flow Rate + a_loop Branches, !- Branch List Name + a_loop Connectors, !- Connector List Name + a_loop Supply Inlet, !- Supply Side Inlet Node Name + a_loop Demand Outlet, !- Demand Side Outlet Node Name + a_loop Demand Inlet, !- Demand Side Inlet Node Names + a_loop Supply Outlet; !- Supply Side Outlet Node Names + +AIRLOOPHVAC:ZONESPLITTER, + a_loop Demand Side Splitter, !- Name + a_loop Demand Inlet, !- Inlet Node Name + zone1 Inlet Node, !- Outlet 1 Node Name + zone2 Inlet Node, !- Outlet 2 Node Name + zone3 Inlet Node; !- Outlet 3 Node Name + +AIRLOOPHVAC:SUPPLYPATH, + a_loopSupplyPath, !- Name + a_loop Demand Inlet, !- Supply Air Path Inlet Node Name + AirLoopHVAC:ZoneSplitter, !- Component 1 Object Type + a_loop Demand Side Splitter; !- Component 1 Name + +AIRLOOPHVAC:ZONEMIXER, + a_loop Demand Side Mixer, !- Name + a_loop Demand Outlet, !- Outlet Node Name + zone1 Outlet Node, !- Inlet 1 Node Name + zone2 Outlet Node, !- Inlet 2 Node Name + zone3 Outlet Node; !- Inlet 3 Node Name + +AIRLOOPHVAC:RETURNPATH, + a_loopReturnPath, !- Name + a_loop Demand Outlet, !- Return Air Path Outlet Node Name + AirLoopHVAC:ZoneMixer, !- Component 1 Object Type + a_loop Demand Side Mixer; !- Component 1 Name + +BRANCH, + sb0, !- Name + 0, !- Maximum Flow Rate + , !- Pressure Drop Curve Name + duct, !- Component 1 Object Type + sb0_duct, !- Component 1 Name + a_loop Supply Inlet, !- Component 1 Inlet Node Name + sb0_duct_outlet, !- Component 1 Outlet Node Name + Bypass; !- Component 1 Branch Control Type + +BRANCH, + sb1, !- Name + 0, !- Maximum Flow Rate + , !- Pressure Drop Curve Name + duct, !- Component 1 Object Type + sb1_duct, !- Component 1 Name + sb1_duct_inlet, !- Component 1 Inlet Node Name + sb1_duct_outlet, !- Component 1 Outlet Node Name + Bypass; !- Component 1 Branch Control Type + +BRANCH, + sb2, !- Name + 0, !- Maximum Flow Rate + , !- Pressure Drop Curve Name + duct, !- Component 1 Object Type + sb2_duct, !- Component 1 Name + sb2_duct_inlet, !- Component 1 Inlet Node Name + sb2_duct_outlet, !- Component 1 Outlet Node Name + Bypass; !- Component 1 Branch Control Type + +BRANCH, + sb3, !- Name + 0, !- Maximum Flow Rate + , !- Pressure Drop Curve Name + duct, !- Component 1 Object Type + sb3_duct, !- Component 1 Name + sb3_duct_inlet, !- Component 1 Inlet Node Name + sb3_duct_outlet, !- Component 1 Outlet Node Name + Bypass; !- Component 1 Branch Control Type + +BRANCH, + sb4, !- Name + 0, !- Maximum Flow Rate + , !- Pressure Drop Curve Name + duct, !- Component 1 Object Type + sb4_duct, !- Component 1 Name + sb4_duct_inlet, !- Component 1 Inlet Node Name + a_loop Supply Outlet, !- Component 1 Outlet Node Name + Bypass; !- Component 1 Branch Control Type + +BRANCHLIST, + a_loop Branches, !- Name + sb0, !- Branch 1 Name + sb1, !- Branch 2 Name + sb2, !- Branch 3 Name + sb3, !- Branch 4 Name + sb4; !- Branch 5 Name + +CONNECTOR:SPLITTER, + a_loop_supply_splitter, !- Name + sb0, !- Inlet Branch Name + sb1, !- Outlet Branch 1 Name + sb2, !- Outlet Branch 2 Name + sb3; !- Outlet Branch 3 Name + +CONNECTOR:MIXER, + a_loop_supply_mixer, !- Name + sb4, !- Outlet Branch Name + sb1, !- Inlet Branch 1 Name + sb2, !- Inlet Branch 2 Name + sb3; !- Inlet Branch 3 Name + +CONNECTORLIST, + a_loop Connectors, !- Name + Connector:Splitter, !- Connector 1 Object Type + a_loop_supply_splitter, !- Connector 1 Name + Connector:Mixer, !- Connector 2 Object Type + a_loop_supply_mixer; !- Connector 2 Name + +DUCT, + sb0_duct, !- Name + a_loop Supply Inlet, !- Inlet Node Name + sb0_duct_outlet; !- Outlet Node Name + +DUCT, + sb1_duct, !- Name + 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zrd((l-rmMHW18BB@KnA5(Kf44&vV>-glI;oyR)Uv+(U`D>0Tm!Yp8V#k-Y_6VXUc;BFy#k|F%OXmw}**XS|aqP zP?%V5d)xE3JoFw_*k4kx`0=~)JsH> zd0C6IElMb)&srfrpt;)^8gZlTNahs~lk+t#h2|2UMdC9?=2g`!)6`ul%_x;BvT4~^ zt~8m7d5xT%7RfImyPs_>W%D{|e)dQ>thG;Z%92oAqIfX(f~|dv4@*PnSA37xFtpaR z4sTtu_&!@ntxFYUxM}TQd{*)Y6z^p(#gq}D;j=^WoJr|L}#Y+bdf6%+DHR`|SA znI6XGvH3e0lk@#!R;DncY~E55ZxiPGq7ZIn^NuRt73HAv+>Ys`_C|kH+57|bH1nQh zE}gMb%X?pQKakwzst#>bz=sO>NC5qs+xSKnPAi*_Rr?8{G}ru6-pw*TnNLwq&My<& z;)lDk`AiS{oKVl^ssLwvv0Xj;f3!r%jP?h!+Y8@^c}+#8)t@keTmG-te_Xj&3olN^Z)(;R zxyBVGooGE-5-u3^ZM^Xq#h32uylh z)AYvKZ7r2nGZM{Cee(mdjns@1VDJ3Y?Vz-Q$V>PO%7&7fIwD`@XJ#YHd;pP~x~|r? z_O`AO+cLgr-yG2_oxQcGr8Ij)p{r|dBOi@ZVFb;IqjZipqO&l2Mt3I@D8|=1LsJ?p zMGs^Ys}$x`q@#1jDrO_JN96nQK|uMiAB|vR6qEAPcq((P$$lt<=Qw&Mv) zF6vXxSEaSF*^Mq^fzUhMiPm0MHrt?_mR~`;U|T0ANLYQ<Gq`9kp>CJj1CDBj6T!Oj|1)~QBuXXXn!X(;X^Gl%>#^g4#& zihhi-(ar-VX#G19wyw!_nR(()%7wXp@P48@-_Kvy%4Q - Plant loops and diagrams in eppy — eppy 0.4.2 documentation + HVAC Loops — eppy 0.4.3 documentation @@ -14,7 +14,7 @@ - + @@ -43,7 +43,7 @@

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-
  • eppy 0.4.2 documentation »
  • +
  • eppy 0.4.3 documentation »
  • @@ -52,12 +52,111 @@

    Navigation

    -
    -

    Plant loops and diagrams in eppy¶

    +
    +

    HVAC Loops¶

    +
    +

    Conceptual Introduction to HVAC Loops¶

    +

    Eppy builds threee kinds of loops for the energyplus idf file:

    +
      +
    1. Plant Loops
    2. +
    3. Condensor Loops
    4. +
    5. Air Loops
    6. +
    +

    All loops have two halves:

    +
      +
    1. Supply side
    2. +
    3. Demand Side
    4. +
    +

    The supply side provides the energy to the demand side that needs the +energy. So the end-nodes on the supply side connect to the end-nodes on +the demand side.

    +

    The loop is made up of branches connected to each other. A single branch +can lead to multiple branches through a splitter component. Multiple +branches can lead to a single branch through a mixer component.

    +

    Each branch is made up of components connected in series (in a line)

    +

    Eppy starts off by building the shape or topology of the loop by +connecting the branches in the right order. The braches themselves have +a single component in them, that is just a place holder. Usually it is a +pipe component. In an air loop it would be a duct component.

    +

    The shape of the loop for the supply or demand side is quite simple.

    +

    It can be described in the following manner for the supply side

    +
      +
    • The supply side starts single branch leads to a splitter
    • +
    • The splitter leads to multiple branches
    • +
    • these multiple branches come back and join in a mixer
    • +
    • the mixer leads to a single branch that becomes end of the suppply +side
    • +
    +

    For the demand side we have:

    +
      +
    • The demand side starts single branch leads to a splitter
    • +
    • The splitter leads to multiple branches
    • +
    • these multiple branches come back and join in a mixer
    • +
    • the mixer leads to a single branch that becomes end of the demand +side
    • +
    +

    The two ends of the supply side connect to the two ends of the demand +side.

    +

    Diagramtically the the two sides of the loop will look like this:

    +
    Supply Side:
    +------------
    +
    +                -> branch1 ->
    +start_branch   --> branch2 --> end_branch
    +                -> branch3 ->
    +
    +
    +
    +Demand Side:
    +------------
    +
    +                  -> d_branch1 ->
    +d_start_branch   --> d_branch2 --> d_end_branch
    +                  -> d_branch3 ->
    +
    +

    In eppy you could embody this is a list

    +
    supplyside = ['start_brandh',   [  'branch1',   'branch2',   'branch3'],   'end_branch']
    +demandside = ['d_start_brandh', ['d_branch1', 'd_branch2', 'd_branch3'], 'd_end_branch']
    +
    +
    +

    Eppy will build the build the shape/topology of the loop using the two +lists above. Each branch will have a placeholder component, like a pipe +or a duct:

    +
    branch1 = --duct--
    +
    +

    Now we will have to replace the placeholder with the real components +that make up the loop. For instance, branch1 should really have a +pre-heat coil leading to a supply fan leading to a cooling coil leading +to a heating coil:

    +
    new_branch = pre-heatcoil -> supplyfan -> coolingcoil -> heatingcoil
    +
    +

    Eppy lets you build a new branch and you can replace branch1 with +new_branch

    +

    In this manner we can build up the entire loop with the right +components, once the initial toplogy is right

    +
    +
    +

    Building a Plant loops¶

    Eppy can build up the topology of a plant loop using single pipes in a branch. Once we do that the simple branch in the loop we have built can be replaced with a more complex branch.

    Let us try this out ans see how it works.

    +
    +

    Building the topology of the loop¶

    +
    # you would normaly install eppy by doing
    +# python setup.py install
    +# or
    +# pip install eppy
    +# or
    +# easy_install eppy
    +
    +# if you have not done so, uncomment the following three lines
    +import sys
    +# pathnameto_eppy = 'c:/eppy'
    +pathnameto_eppy = '../'
    +sys.path.append(pathnameto_eppy)
    +
    +
    +
    +
    +

    Diagram of the loop¶

    Eppy has a function that can draw the loops.
    We’ll use this to view the loop diagram.
    @@ -88,42 +190,222 @@

    Plant loops and diagrams in eppy(you have to run it from the eppy/eppy folder)

    python ex_loopdiagram.py hhh1.idf

    -
    -
    This will output a image by name hhh1.png.
    -
    This image is shown below
    -
    -
    for_images.display_png(for_images.plantloop1) # display the image below
    +

    This will output a image by name hhh1.png. This image is shown below.

    +

    Note: the supply and demnd sides are not connected in the diagram, but +shown seperately for clarity

    +
    from eppy import ex_inits #no need to know this code, it just shows the image below
    +for_images = ex_inits
    +for_images.display_png(for_images.plantloop1) # display the image below
     
    -_images/HVAC_Tutorial_7_0.png -

    Let us make a new branch and replace the exisiting branch “sb0” that has -the pipe sb0_pipe

    +_images/HVAC_Tutorial_23_0.png +
    +
    +

    Modifying the topology of the loop¶

    +

    Let us make a new branch and replace the exisiting branch

    +

    The existing branch name is “sb0” and it contains a single pipe +component sb0_pipe.

    +

    Let us replace it with a branch that has a chiller that is connected to +a pipe which is turn connected to another pipe. So the connections in +the new branch would look like “chiller-> pipe1->pipe2”

    # make a new branch chiller->pipe1-> pipe2
    +
    +# make a new pipe component
     pipe1 = idf.newidfobject("PIPE:ADIABATIC", 'np1')
    +
    +# make a new chiller
     chiller = idf.newidfobject("Chiller:Electric".upper(), 'Central_Chiller')
    +
    +# make another pipe component
     pipe2 = idf.newidfobject("PIPE:ADIABATIC", 'np2')
     
    -loop = idf.getobject('PLANTLOOP', 'p_loop')
    -branch = idf.getobject('BRANCH', 'sb0')
    -listofcomponents = [chiller, pipe1, pipe2]
    +# get the loop we are trying to modify
    +loop = idf.getobject('PLANTLOOP', 'p_loop') # args are (key, name)
    +# get the branch we are trying to modify
    +branch = idf.getobject('BRANCH', 'sb0') # args are (key, name)
    +listofcomponents = [chiller, pipe1, pipe2] # the new components are connected in this order
    +
    +newbr = hvacbuilder.replacebranch(idf, loop, branch, listofcomponents, fluid='Water')
    +# in "loop"
    +# this replaces the components in "branch" with the components in "listofcomponents"
     
    -newbr = hvacbuilder.replacebranch(idf, loop, branch, listofcomponents, 'Water', False)
     idf.saveas("hhh_new.idf")
     
    -
    unknown field Connector_3_Object_Type
    -unknown field Connector_3_Object_Type
    -
    We have saved this as file “hhh_new.idf”.
    -
    Let us draw the diagram of this file.
    +
    Let us draw the diagram of this file. (run this from eppy/eppy folder)

    python ex_loopdiagram.py hhh_new.idf

    reload(ex_inits)
     for_images.display_png(for_images.plantloop2) # display the image below
     
    -_images/HVAC_Tutorial_12_0.png +_images/HVAC_Tutorial_29_0.png +

    This diagram shows the new components in the branch

    +
    +
    +

    Traversing the loop¶

    +

    It would be nice to move through the loop using functions “next()” and +“prev()”

    +

    Eppy indeed has such functions

    +

    Let us try to traverse the loop above.

    +
    # to traverse the loop we are going to call some functions ex_loopdiagrams.py,
    +# the program that draws the loop diagrams.
    +from eppy import ex_loopdiagram
    +fname = 'hhh_new.idf'
    +iddfile = '../eppy/resources/iddfiles/Energy+V8_0_0.idd'
    +edges = ex_loopdiagram.getedges(fname, iddfile)
    +# edges are the lines that draw the nodes in the loop.
    +# The term comes from graph theory in mathematics
    +
    +
    +

    The above code gets us the edges of the loop diagram. Once we have the +edges, we can traverse through the diagram. Let us start with the +“Central_Chiller” and work our way down.

    +
    from eppy import walk_hvac
    +firstnode = "Central_Chiller"
    +nextnodes = walk_hvac.next(edges, firstnode)
    +print nextnodes
    +
    +
    +
    ['np1']
    +
    +
    +
    nextnodes = walk_hvac.next(edges, nextnodes[0])
    +print nextnodes
    +
    +
    +
    ['np2']
    +
    +
    +
    nextnodes = walk_hvac.next(edges, nextnodes[0])
    +print nextnodes
    +
    +
    +
    ['p_loop_supply_splitter']
    +
    +
    +
    nextnodes = walk_hvac.next(edges, nextnodes[0])
    +print nextnodes
    +
    +
    +
    ['sb1_pipe', 'sb2_pipe', 'sb3_pipe']
    +
    +
    +

    This leads us to three components -> [‘sb1_pipe’, ‘sb2_pipe’, +‘sb3_pipe’]. Let us follow one of them

    +
    nextnodes = walk_hvac.next(edges, nextnodes[0])
    +print nextnodes
    +
    +
    +
    ['p_loop_supply_mixer']
    +
    +
    +
    nextnodes = walk_hvac.next(edges, nextnodes[0])
    +print nextnodes
    +
    +
    +
    ['sb4_pipe']
    +
    +
    +
    nextnodes = walk_hvac.next(edges, nextnodes[0])
    +print nextnodes
    +
    +
    +
    []
    +
    +
    +

    We have reached the end of this branch. There are no more components.

    +

    We can follow this in reverse using the function prev()

    +
    lastnode = 'sb4_pipe'
    +prevnodes = walk_hvac.prev(edges, lastnode)
    +print prevnodes
    +
    +
    +
    ['p_loop_supply_mixer']
    +
    +
    +
    prevnodes = walk_hvac.prev(edges, prevnodes[0])
    +print prevnodes
    +
    +
    +
    ['sb1_pipe', 'sb2_pipe', 'sb3_pipe']
    +
    +
    +
    prevnodes = walk_hvac.prev(edges, prevnodes[0])
    +print prevnodes
    +
    +
    +
    ['p_loop_supply_splitter']
    +
    +
    +
    prevnodes = walk_hvac.prev(edges, prevnodes[0])
    +print prevnodes
    +
    +
    +
    ['np2']
    +
    +
    +
    prevnodes = walk_hvac.prev(edges, prevnodes[0])
    +print prevnodes
    +
    +
    +
    ['np1']
    +
    +
    +
    prevnodes = walk_hvac.prev(edges, prevnodes[0])
    +print prevnodes
    +
    +
    +
    ['Central_Chiller']
    +
    +
    +
    prevnodes = walk_hvac.prev(edges, prevnodes[0])
    +print prevnodes
    +
    +
    +
    []
    +
    +
    +

    All the way to where the loop ends

    +
    +
    +
    +

    Building a Condensor loop¶

    +

    We build the condensor loop the same way we built the plant loop. Pipes +are put as place holders for the components. Let us build a new idf file +with just a condensor loop in it.

    +
    condensorloop_idf = IDF(StringIO(''))
    +loopname = "c_loop"
    +sloop = ['sb0', ['sb1', 'sb2', 'sb3'], 'sb4'] # supply side
    +dloop = ['db0', ['db1', 'db2', 'db3'], 'db4'] # demand side
    +theloop = hvacbuilder.makecondenserloop(condensorloop_idf, loopname, sloop, dloop)
    +condensorloop_idf.saveas("c_loop.idf")
    +
    +
    +

    Again, just as we did in the plant loop, we can change the components of +the loop, by replacing the branchs and traverse the loop using the +functions next() and prev()

    +
    +
    +

    Building an Air Loop¶

    +

    Building an air loop is similar to the plant and condensor loop. The +difference is that instead of pipes , we have ducts as placeholder +components. The other difference is that we have zones on the demand +side.

    +
    airloop_idf = IDF(StringIO(''))
    +loopname = "a_loop"
    +sloop = ['sb0', ['sb1', 'sb2', 'sb3'], 'sb4'] # supply side of the loop
    +dloop = ['zone1', 'zone2', 'zone3'] # zones on the demand side
    +hvacbuilder.makeairloop(airloop_idf, loopname, sloop, dloop)
    +airloop_idf.saveas("a_loop.idf")
    +
    +
    +

    Again, just as we did in the plant and condensor loop, we can change the +components of the loop, by replacing the branchs and traverse the loop +using the functions next() and prev()

    +
    @@ -132,6 +414,23 @@

    Plant loops and diagrams in eppy @@ -1658,7 +1658,7 @@

    Previous topic

    title="previous chapter">Installation

    Next topic

    Plant loops and diagrams in eppy

    + title="next chapter">HVAC Loops

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    class eppy.modeleditor.IDF1(idfname)¶
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zA&;JRdhW`lX|rrT5U#vyvbD5;!~dPUSD^9-+Yzrw>*XW

    subclass of IDF0. Uses functions of IDF0

    -
    -addidfobject(idfobject)¶
    +
    +copyidfobject(idfobject)¶

    add idfobject to this model

    idfobject usually comes from another idf file or it can be used to copy within this idf file

    @@ -202,7 +202,7 @@

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  • eppy 0.4.2 documentation »
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  • eppy 0.4.3 documentation »
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