{"id":313,"date":"2019-03-07T07:28:27","date_gmt":"2019-03-07T00:28:27","guid":{"rendered":"http:\/\/dataexponent.com\/?p=313"},"modified":"2019-03-07T11:26:22","modified_gmt":"2019-03-07T04:26:22","slug":"hpc09-head-pressure-control-optimized-temperature-control-switch","status":"publish","type":"post","link":"https:\/\/dataexponent.com\/?p=313","title":{"rendered":"HPC09 Head Pressure Control Optimized Temperature Control Switch"},"content":{"rendered":"\n<p><strong>Description<\/strong><\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignright is-resized\"><a href=\"https:\/\/dataexponent.com\/wp-content\/uploads\/2018\/06\/IMG_1812.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/dataexponent.com\/wp-content\/uploads\/2018\/06\/IMG_1812-300x169.jpg\" alt=\"\" class=\"wp-image-134\" width=\"222\" height=\"125\" srcset=\"https:\/\/dataexponent.com\/wp-content\/uploads\/2018\/06\/IMG_1812-300x169.jpg 300w, https:\/\/dataexponent.com\/wp-content\/uploads\/2018\/06\/IMG_1812-768x432.jpg 768w, https:\/\/dataexponent.com\/wp-content\/uploads\/2018\/06\/IMG_1812-1024x576.jpg 1024w, https:\/\/dataexponent.com\/wp-content\/uploads\/2018\/06\/IMG_1812-1200x675.jpg 1200w\" sizes=\"auto, (max-width: 222px) 85vw, 222px\" \/><\/a><figcaption>HPC09 Actual size.<\/figcaption><\/figure><\/div>\n\n\n\n<p>The HPC09 Head Pressure\nControl Optimized Temperature Control Switch is a W1209 Temperature Control\nSwitch reprogrammed with advanced software to specifically designed to optimize\nHVAC control systems. The HPC09 focuses on controlling system temperature\nunderstanding real-world HVAC designs and performance optimization strategies.<\/p>\n\n\n\n<p><strong>Specification<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>W1209\nHardware reflashed with advanced HPC09 software<\/li><li>Measurement\nin \u00b0C and \u00b0F<\/li><li>3-digit\nresolution, -99 to -10, -9.9 to 99.9, and 100 to 999 depending on range<\/li><li>Temperature\ncontrol range: -50~110\u00b0C <\/li><li>Temperature\nmeasurement accuracy: 0.1 \u00b0C <\/li><li>Control\naccuracy: 0.1 \u00b0C <\/li><li>Input\npower: DC 12V<\/li><li>Static\nCurrent: 35mA<\/li><li>Peak\nCurrent: 65mA<\/li><li>Measurement\ninput: NTC (10K 0.5%) Waterproof sensor<\/li><li>Output:\n1 relay output, capacity = 20A 125VAC, <\/li><li>Size:\n48.5*40mm<\/li><\/ul>\n\n\n\n<p><strong>HPC09 Head Pressure Control Algorithm<\/strong><\/p>\n\n\n\n<p>The HPC09 algorithm combines\ntwo algorithmic strategies, and other advanced features, to optimize Head\nPressure Control in real-world HVAC systems.<\/p>\n\n\n\n<p><strong>Separate digital process control of low and high temperature setpoints.<\/strong><\/p>\n\n\n\n<p>Rather than being a simple,\nsingle-temperature, stable-limit-cycle style thermostat the HPC09 implements\ntwo separate digital process control algorithms to operate the HVAC between specified\nlow-temperature and high-temperature setpoints. As the two separate control\nalgorithms maintain the HVAC temperature system between specified set point temperatures\nthe system\u2019s head pressure remains bounded and optimized.<\/p>\n\n\n\n<p><strong>Cycle time management.<\/strong><\/p>\n\n\n\n<p>Changing environmental loads change an\nHVAC system\u2019s cycle times. As the environmental load increases the system\u2019s\ncycle time increases. This association is so reliable that with practice\noutside temperature can often be inferred from an HVAC system\u2019s cycle time. As\ncycle times increase there is an opportunity to tighten the system\u2019s low and\nhigh temperature setpoints. Tightening the temperature setpoints has multiple\npositive outcomes; less temperature swings, less head pressure swing, and\nsystem operation consistently closer to optimum parameters. These outcomes work\ntogether to increase comfort and save operational costs.<\/p>\n\n\n\n<p>As the environmental load and system\u2019s\ncycle time decreases. HVAC systems can become overpowered to the point where\noperational efficiency must give way to other issues such as motor protection.\nIncreasing the spread of the low and high temperature setpoints increases cycle\ntime.<\/p>\n\n\n\n<p><strong>Motor protection.<\/strong><\/p>\n\n\n\n<p>Additionally, the HPC09 algorithm\nimplements an anti-jogging safety timer to be sure that the output relay does\nnot switch faster than the time selected. The decimal point of the left-most\nseven-segment-display digit will be lit when the anti-jogging safety timer is\nactive.<\/p>\n\n\n\n<p><strong>Quickset pushbuttons.<\/strong><\/p>\n\n\n\n<p>Fine tuning the HPC09 algorithms requires\nmultiple parameter settings. To simplify quick and simple operation of the\nHPC09 a Quickset interface has been implemented. Quickset operation looks something\nlike the original W1209 temperature setting method yet fully sets all the\nparameters needed to operate both the low and high temperature setpoints and\nthe cycle time management algorithms. Low and high temperature setpoints are\n-\/+ 6 degrees of the selected temperature. Cycle time parameters are set to default\nvalues to implement constant temperature setpoints at all cycle times.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"624\" height=\"624\" src=\"https:\/\/dataexponent.com\/wp-content\/uploads\/2019\/03\/HW-557.jpg\" alt=\"\" class=\"wp-image-314\" srcset=\"https:\/\/dataexponent.com\/wp-content\/uploads\/2019\/03\/HW-557.jpg 624w, https:\/\/dataexponent.com\/wp-content\/uploads\/2019\/03\/HW-557-150x150.jpg 150w, https:\/\/dataexponent.com\/wp-content\/uploads\/2019\/03\/HW-557-300x300.jpg 300w\" sizes=\"auto, (max-width: 709px) 85vw, (max-width: 909px) 67vw, (max-width: 984px) 61vw, (max-width: 1362px) 45vw, 600px\" \/><figcaption><a href=\"https:\/\/www.chinahao.com\/product\/549092472098\/\">https:\/\/www.chinahao.com\/product\/549092472098\/<\/a><\/figcaption><\/figure>\n\n\n\n<p>If you have read this far you might be interested in the <a href=\"https:\/\/dataexponent.com\/?p=322\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">HVAC Test Load Simulator<\/a> used to test and fine-tune the multiple control algorithms in this project.<\/p>\n\n\n\n<p>A really old post showing early thinking about the project is  <br><a href=\"https:\/\/dataexponent.com\/?p=132\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Cell Phone Tower Machine Room Advanced Temperature Control Unit<\/a>. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description The HPC09 Head Pressure Control Optimized Temperature Control Switch is a W1209 Temperature Control Switch reprogrammed with advanced software to specifically designed to optimize HVAC control systems. The HPC09 focuses on controlling system temperature understanding real-world HVAC designs and performance optimization strategies. Specification W1209 Hardware reflashed with advanced HPC09 software Measurement in \u00b0C and &hellip; <a href=\"https:\/\/dataexponent.com\/?p=313\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;HPC09 Head Pressure Control Optimized Temperature Control Switch&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":321,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[75,72,49,73,74,71,70],"class_list":["post-313","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-embedded-software-development","tag-head-pressure-control","tag-software-consulting","tag-st-link","tag-stm8s003","tag-temperature-control-switch","tag-w1209"],"_links":{"self":[{"href":"https:\/\/dataexponent.com\/index.php?rest_route=\/wp\/v2\/posts\/313","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dataexponent.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dataexponent.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dataexponent.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dataexponent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=313"}],"version-history":[{"count":6,"href":"https:\/\/dataexponent.com\/index.php?rest_route=\/wp\/v2\/posts\/313\/revisions"}],"predecessor-version":[{"id":352,"href":"https:\/\/dataexponent.com\/index.php?rest_route=\/wp\/v2\/posts\/313\/revisions\/352"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dataexponent.com\/index.php?rest_route=\/wp\/v2\/media\/321"}],"wp:attachment":[{"href":"https:\/\/dataexponent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=313"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dataexponent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=313"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dataexponent.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=313"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}