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\n  \n 2021\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n EECi/cosimulation.\n \n \n \n \n\n\n \n Jans-Singh, M.\n\n\n \n\n\n\n 2021.\n \n\n\n\n
\n\n\n\n \n \n \"EECi/cosimulationWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{\n title = {EECi/cosimulation},\n type = {misc},\n year = {2021},\n source = {EECi GitHub Repository},\n websites = {https://github.com/EECi/cosimulation},\n id = {7908e533-c4f9-3658-9d89-3b0fb4ec5b68},\n created = {2021-03-16T16:38:05.721Z},\n accessed = {2021-03-16},\n file_attached = {false},\n profile_id = {8cc9e420-f114-33cc-9c3e-829cab873aa1},\n last_modified = {2021-04-13T10:02:17.230Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n citation_key = {Jans-Singh2021},\n private_publication = {false},\n bibtype = {misc},\n author = {Jans-Singh, Melanie}\n}
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\n \n\n \n \n \n \n \n \n Co-simulating a greenhouse in a building to quantify co-benefits of different coupled configurations.\n \n \n \n \n\n\n \n Jans-Singh, M.; Ward, R.; and Choudhary, R.\n\n\n \n\n\n\n Journal of Building Performance Simulation, 14(3): 247-276. 5 2021.\n \n\n\n\n
\n\n\n\n \n \n \"Co-simulatingWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{\n title = {Co-simulating a greenhouse in a building to quantify co-benefits of different coupled configurations},\n type = {article},\n year = {2021},\n keywords = {Co-simulation,building integrated agriculture,greenhouse modelling,urban agriculture},\n pages = {247-276},\n volume = {14},\n websites = {https://www.tandfonline.com/doi/full/10.1080/19401493.2021.1908426},\n month = {5},\n publisher = {Taylor & Francis},\n day = {4},\n id = {920647ad-619e-3a40-9e2d-906456ed4884},\n created = {2021-04-20T12:52:16.245Z},\n accessed = {2021-04-20},\n file_attached = {false},\n profile_id = {8cc9e420-f114-33cc-9c3e-829cab873aa1},\n last_modified = {2021-04-20T12:54:30.022Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {Recent findings suggest that rooftop greenhouses could be more efficient when combined with waste streams in buildings, but there is a gap in quantification of the combined performance of building ...},\n bibtype = {article},\n author = {Jans-Singh, Melanie and Ward, Rebecca and Choudhary, Ruchi},\n doi = {10.1080/19401493.2021.1908426},\n journal = {Journal of Building Performance Simulation},\n number = {3}\n}
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\n Recent findings suggest that rooftop greenhouses could be more efficient when combined with waste streams in buildings, but there is a gap in quantification of the combined performance of building ...\n
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\n  \n 2020\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Co-simulation of a Rooftop Greenhouse and a School Building in London, UK.\n \n \n \n \n\n\n \n Jans-Singh, M., K.; Ward, R.; and Choudhary, R.\n\n\n \n\n\n\n In Proceedings of Building Simulation 2019: 16th Conference of IBPSA, volume 16, pages 3266-3273, 3 2020. IBPSA\n \n\n\n\n
\n\n\n\n \n \n \"Co-simulationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{\n title = {Co-simulation of a Rooftop Greenhouse and a School Building in London, UK},\n type = {inproceedings},\n year = {2020},\n pages = {3266-3273},\n volume = {16},\n month = {3},\n publisher = {IBPSA},\n day = {23},\n id = {cfbc8a70-6be4-3205-ae07-303470e5ffa8},\n created = {2020-09-10T12:47:05.919Z},\n accessed = {2020-09-10},\n file_attached = {true},\n profile_id = {8cc9e420-f114-33cc-9c3e-829cab873aa1},\n last_modified = {2021-04-13T10:02:17.134Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Jans-Singh, Melanie Kiren and Ward, Rebecca and Choudhary, Ruchi},\n doi = {10.26868/25222708.2019.210355},\n booktitle = {Proceedings of Building Simulation 2019: 16th Conference of IBPSA}\n}
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\n \n\n \n \n \n \n \n \n Digital twin of an urban-integrated hydroponic farm.\n \n \n \n \n\n\n \n Jans-Singh, M.; Leeming, K.; Choudhary, R.; and Girolami, M.\n\n\n \n\n\n\n Data-Centric Engineering, 1. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"DigitalPaper\n  \n \n \n \"DigitalWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{\n title = {Digital twin of an urban-integrated hydroponic farm},\n type = {article},\n year = {2020},\n keywords = {Data-centric model,hourly forecasting,hydroponic farm,underground farm,urban-integrated farm},\n volume = {1},\n websites = {https://www.cambridge.org/core.},\n publisher = {Cambridge University Press (CUP)},\n id = {42629b01-94a7-3468-8b75-546ed8dddc11},\n created = {2021-01-27T19:53:45.030Z},\n accessed = {2021-01-27},\n file_attached = {true},\n profile_id = {8cc9e420-f114-33cc-9c3e-829cab873aa1},\n last_modified = {2021-05-13T10:31:56.695Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n citation_key = {Jans-Singh2020},\n private_publication = {false},\n abstract = {This paper presents the development process of a digital twin of a unique hydroponic underground farm in London, Growing Underground (GU). Growing 12x more per unit area than traditional greenhouse farming in the UK, the farm also consumes 4x more energy per unit area. Key to the ongoing operational success of this farm and similar enterprises is finding ways to minimize the energy use while maximizing crop growth by maintaining optimal growing conditions. As such, it belongs to the class of Controlled Environment Agriculture, where indoor environments are carefully controlled to maximize crop growth by using artificial lighting and smart heating, ventilation, and air conditioning systems. We tracked changing environmental conditions and crop growth across 89 different variables, through a wireless sensor network and unstructured manual records, and combined all the data into a database. We show how the digital twin can provide enhanced outputs for a bespoke site like GU, by creating inferred data fields, and show the limitations of data collection in a commercial environment. For example, we find that lighting is the dominant environmental factor for temperature and thus crop growth in this farm, and that the effects of external temperature and ventilation are confounded. We combine information learned from historical data interpretation to create a bespoke temperature forecasting model (root mean squared error < 1.3°C), using a dynamic linear model with a data-centric lighting component. Finally, we present how the forecasting model can be integrated into the digital twin to provide feedback to the farmers for decision-making assistance.},\n bibtype = {article},\n author = {Jans-Singh, Melanie and Leeming, Kathryn and Choudhary, Ruchi and Girolami, Mark},\n doi = {10.1017/dce.2020.21},\n journal = {Data-Centric Engineering}\n}
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\n This paper presents the development process of a digital twin of a unique hydroponic underground farm in London, Growing Underground (GU). Growing 12x more per unit area than traditional greenhouse farming in the UK, the farm also consumes 4x more energy per unit area. Key to the ongoing operational success of this farm and similar enterprises is finding ways to minimize the energy use while maximizing crop growth by maintaining optimal growing conditions. As such, it belongs to the class of Controlled Environment Agriculture, where indoor environments are carefully controlled to maximize crop growth by using artificial lighting and smart heating, ventilation, and air conditioning systems. We tracked changing environmental conditions and crop growth across 89 different variables, through a wireless sensor network and unstructured manual records, and combined all the data into a database. We show how the digital twin can provide enhanced outputs for a bespoke site like GU, by creating inferred data fields, and show the limitations of data collection in a commercial environment. For example, we find that lighting is the dominant environmental factor for temperature and thus crop growth in this farm, and that the effects of external temperature and ventilation are confounded. We combine information learned from historical data interpretation to create a bespoke temperature forecasting model (root mean squared error < 1.3°C), using a dynamic linear model with a data-centric lighting component. Finally, we present how the forecasting model can be integrated into the digital twin to provide feedback to the farmers for decision-making assistance.\n
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\n  \n 2019\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Monitoring the performance of an underground hydroponic farm.\n \n \n \n \n\n\n \n Jans-Singh, M.; Fidler, P.; Ward, R., M.; and Choudhary, R.\n\n\n \n\n\n\n In International Conference on Smart Infrastructure in Construction, 2019. Institution of Civil Engineers\n \n\n\n\n
\n\n\n\n \n \n \"MonitoringPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{\n title = {Monitoring the performance of an underground hydroponic farm},\n type = {inproceedings},\n year = {2019},\n publisher = {Institution of Civil Engineers},\n city = {Cambridge},\n id = {9e649728-9cb2-3ed8-90b1-4ef73620cdd4},\n created = {2019-08-07T15:04:07.823Z},\n file_attached = {true},\n profile_id = {8cc9e420-f114-33cc-9c3e-829cab873aa1},\n last_modified = {2021-04-13T10:02:17.229Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {icsic_paper},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Jans-Singh, M and Fidler, P and Ward, R M and Choudhary, R},\n booktitle = {International Conference on Smart Infrastructure in Construction}\n}
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\n  \n 2018\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Quantifying the Environmental and Energy Benefits of Food Growth in the Urban Environment.\n \n \n \n\n\n \n Ward, R., M.; Jans-Singh, M.; and Choudhary, R.\n\n\n \n\n\n\n Smart Plant Factory - The Next Generation Indoor Vertical Farms. Kozai, T., editor(s). Springer, 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inbook{\n type = {inbook},\n year = {2018},\n publisher = {Springer},\n city = {Chiba, Japan},\n chapter = {Quantifying the Environmental and Energy Benefits of Food Growth in the Urban Environment},\n id = {e1cee214-a21c-3ddf-bfa6-82077ae5a38c},\n created = {2020-09-03T08:45:29.264Z},\n file_attached = {false},\n profile_id = {8cc9e420-f114-33cc-9c3e-829cab873aa1},\n last_modified = {2021-04-13T10:02:17.234Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Ward2018},\n private_publication = {false},\n bibtype = {inbook},\n author = {Ward, Rebecca M and Jans-Singh, Melanie and Choudhary, Ruchi},\n editor = {Kozai, Toyoki},\n title = {Smart Plant Factory - The Next Generation Indoor Vertical Farms}\n}
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