{"id":30834,"date":"2022-07-14T16:44:56","date_gmt":"2022-07-14T14:44:56","guid":{"rendered":"http:\/\/mbi-dev.t26.mbigroup.it\/powerschedo-for-cogeneration\/"},"modified":"2022-07-14T16:44:58","modified_gmt":"2022-07-14T14:44:58","slug":"powerschedo-for-cogeneration","status":"publish","type":"page","link":"https:\/\/www.mbigroup.it\/en\/powerschedo-for-cogeneration\/","title":{"rendered":"Powerschedo for Cogeneration"},"content":{"rendered":"

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Power<\/span>SchedO<\/strong><\/em><\/span> for cogeneration<\/em><\/span><\/h2>\n

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Many production activities are energy-consuming while energy supply contracts are economically penalizing and do not follow production cycles.<\/h2>\n

For these reasons, many industries make use of cogeneration plants (e.g. with combined cycle gas turbines – CCGT) and photovoltaic systems..<\/h2>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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With the same energy produced, we find, hour by hour, the best set-up of the cogeneration plant<\/span><\/h2>\n

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  • Management and analysis of measurement data from turbines<\/span><\/li>\n
  • Management of the energy demand of the production plant<\/span><\/li>\n
  • Management of the cost of natural gas and the contribution of biogas (if any)<\/span><\/li>\n
  • Cost management for CO2 emissions<\/span><\/li>\n
  • Possible management of the forecast \/ production of a non-programmable cogeneration plant (photovoltaic);<\/span><\/li>\n
  • Determination of the optimal operating point of the CCGT for covering the energy demand of the production plant;<\/span><\/li>\n
  • Possible generation of sales offers for the day-ahead market (MGP) in order to provide extra revenue;<\/span><\/li>\n
  • Multi-user desktop user interface for easy management by end users;<\/span><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

    [\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Approfondimenti” _builder_version=”3.29.3″ use_background_color_gradient=”on” background_color_gradient_start=”rgba(0,0,0,0.3)” background_color_gradient_end=”rgba(0,0,0,0.35)” background_color_gradient_overlays_image=”on” background_image=”https:\/\/www.mbigroup.it\/wp-content\/uploads\/2019\/10\/iStock-1096811078.jpg” background_blend=”multiply” custom_padding=”||7px|||” custom_css_main_element=”padding-top: 6% !important;||padding-bottom: 6% !important;”][et_pb_row admin_label=”Download document” _builder_version=”3.25″ custom_padding=”||0px|||” custom_css_main_element=”padding-top: 0px !important;||padding-bottom: 0px !important;”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_cta title=”Optimization of cogeneration” url_new_window=”on” _builder_version=”4.9.4″ header_font_size=”41px” use_background_color=”off” custom_button=”on” button_text_size=”20px” button_text_color=”#ffffff” button_bg_color=”#0c71c3″ button_border_color=”rgba(0,0,0,0)” button_border_radius=”37px” button_font=”|600|||||||” button_icon=”%%266%%” custom_margin=”||-26px|||” custom_padding=”1px||0px|||”]<\/p>\n

    The data analysis allows you to automatically track the entire company energy supply system.
    \nWith the application of optimization algorithms, the best set-up of the cogeneration plant is quickly and easily determined. <\/span> <\/h3>\n

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    PowerSchedO for Cogeneration<\/h2>\n

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