Methodology for Commercial Buildings Thermal Loads Predictive Models Based on Simulation Performance
Commercial buildings incorporate Building Energy Management Systems (BEMS) to monitor indoor environment conditions as well as controlling Heating Ventilation and Air Conditioning (HVAC) systems. Measurements of temperature, humidity and energy consumption are typically stored within BEMS. These mea...
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2016-11-01
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| Series: | EAI Endorsed Transactions on Energy Web |
| Subjects: | |
| Online Access: | http://eudl.eu/doi/10.4108/eai.24-8-2015.2261063 |
| _version_ | 1818537212259598336 |
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| author | Dimitrios-Stavros Kapetanakis Eleni Mangina Donal Finn |
| author_facet | Dimitrios-Stavros Kapetanakis Eleni Mangina Donal Finn |
| author_sort | Dimitrios-Stavros Kapetanakis |
| collection | DOAJ |
| description | Commercial buildings incorporate Building Energy Management Systems (BEMS) to monitor indoor environment conditions as well as controlling Heating Ventilation and Air Conditioning (HVAC) systems. Measurements of temperature, humidity and energy consumption are typically stored within BEMS. These measurements include underlying information regarding building thermal response, which is crucial for the calculation of heating and cooling loads. Forecasting of building thermal loads can be achieved using data records from BEMS. Accurate predictions can be produced when introducing these data records to data-mining predictive models. Incomplete datasets are often acquired when extracting data from the BEMS; hence detailed representations of commercial buildings can be implemented using EnergyPlus. For the purposes of the research described in this paper, different types of commercial buildings in various climates are examined to investigate the scalability of the predictive models. |
| first_indexed | 2024-12-11T18:47:52Z |
| format | Article |
| id | doaj.art-81fcc2754b5e40c8b93e53cdbf5cf0d9 |
| institution | Directory Open Access Journal |
| issn | 2032-944X |
| language | English |
| last_indexed | 2024-12-11T18:47:52Z |
| publishDate | 2016-11-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Energy Web |
| spelling | doaj.art-81fcc2754b5e40c8b93e53cdbf5cf0d92022-12-22T00:54:24ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Energy Web2032-944X2016-11-01381510.4108/eai.24-8-2015.2261063Methodology for Commercial Buildings Thermal Loads Predictive Models Based on Simulation PerformanceDimitrios-Stavros Kapetanakis0Eleni Mangina1Donal Finn2 University College Dublin (UCD); dimitrios.kapetanakis@ucdconnect.ie University College Dublin (UCD) University College Dublin (UCD)Commercial buildings incorporate Building Energy Management Systems (BEMS) to monitor indoor environment conditions as well as controlling Heating Ventilation and Air Conditioning (HVAC) systems. Measurements of temperature, humidity and energy consumption are typically stored within BEMS. These measurements include underlying information regarding building thermal response, which is crucial for the calculation of heating and cooling loads. Forecasting of building thermal loads can be achieved using data records from BEMS. Accurate predictions can be produced when introducing these data records to data-mining predictive models. Incomplete datasets are often acquired when extracting data from the BEMS; hence detailed representations of commercial buildings can be implemented using EnergyPlus. For the purposes of the research described in this paper, different types of commercial buildings in various climates are examined to investigate the scalability of the predictive models.http://eudl.eu/doi/10.4108/eai.24-8-2015.2261063commercial buildingspredictive modelsthermal loadssimulation data |
| spellingShingle | Dimitrios-Stavros Kapetanakis Eleni Mangina Donal Finn Methodology for Commercial Buildings Thermal Loads Predictive Models Based on Simulation Performance EAI Endorsed Transactions on Energy Web commercial buildings predictive models thermal loads simulation data |
| title | Methodology for Commercial Buildings Thermal Loads Predictive Models Based on Simulation Performance |
| title_full | Methodology for Commercial Buildings Thermal Loads Predictive Models Based on Simulation Performance |
| title_fullStr | Methodology for Commercial Buildings Thermal Loads Predictive Models Based on Simulation Performance |
| title_full_unstemmed | Methodology for Commercial Buildings Thermal Loads Predictive Models Based on Simulation Performance |
| title_short | Methodology for Commercial Buildings Thermal Loads Predictive Models Based on Simulation Performance |
| title_sort | methodology for commercial buildings thermal loads predictive models based on simulation performance |
| topic | commercial buildings predictive models thermal loads simulation data |
| url | http://eudl.eu/doi/10.4108/eai.24-8-2015.2261063 |
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