2026-09-19T23:49:25Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1385812025-10-30T15:50:03Zcom_1721.1_97716com_1721.1_7749com_1721.1_7582com_1721.1_7581col_1721.1_97717col_1721.1_131023
Christoph Reinhart.
Liebman-Peláez, Mariana.
Massachusetts Institute of Technology. Department of Architecture.
Massachusetts Institute of Technology. Department of Architecture
2021-12-17T18:24:08Z
2021-12-17T18:24:08Z
2020
https://hdl.handle.net/1721.1/138581
1288582835
Thesis: S.M. in Building Technology, Massachusetts Institute of Technology, Department of Architecture, September, September, 2020
Cataloged from the official PDF of thesis. "September 2020."
Includes bibliographical references (pages 53-56).
Controlled environment agriculture (CEA) systems, or plant factories, have developed within the urban context following efforts to expand local food production and provide an alternative to conventional agriculture with lower rates of greenhouse gas emissions and resource consumption. One urban CEA system, container farms, consist of vertical hydroponic farms inside retrofitted shipping containers. The artificially controlled interior environments within container farms along with their portability and modularity allow container farms to grow food in a variety of otherwise unused locations regardless of climate and daylight availability. While container farms and plant factories in general may provide a promising option for sustainable urban agriculture, they are highly energy intensive, particularly for lighting and thermal control. As a result, urban designers and policy makers require holistic assessment tools and methodologies to understand the viability of plant factories in reducing the greenhouse gas emissions of food systems. However, due to limitations of building performance simulation (BPS) tools, existing urban design methodologies assess the energy use of plant factories using simplified building energy models that omit the energetic effects of plants. While previous studies have developed methods that consider plant-air interactions within BPS tools through the use of co-simulators, to date there has been a lack of energy validation studies for such models. This research attempts to bridge this gap by validating a first-principle hourly energy model for an operational hydroponic container farm located in Boston, Massachusetts. The energy model (NMBE of 3% and CV[RMSE]of 9%) combines a plant evapotranspiration model in parallel with a BPS tool, EnergyPlus. The validation focuses on the reliability of the energy model in predicting hourly conditioning loads and comments on the practical challenges and limitations of modeling hourly conditioning for container farms and other plant factories. Second, this research uses the validated energy model to simulate methods for reducing conditioning loads of container farms under various climate and upgrade scenarios. Finally, this research explores the integration of container farms in an urban neighborhood and the potential for reducing additional demands on the neighborhood's energy supply system.
by Mariana Liebman-Peláez.
S.M. in Building Technology
S.M. in Building Technology Massachusetts Institute of Technology, Department of Architecture
56 pages
eng
Massachusetts Institute of Technology
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
http://dspace.mit.edu/handle/1721.1/7582
Architecture.
Hydroponic container farms : validation of a building energy model and its integration in urban design
Validation of a building energy model and its integration in urban design
Thesis
application/pdf
2021-12-17T18:24:08Z
Publication
Master
Arch
unknown
unknown
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<Abstract>Controlled environment agriculture (CEA) systems, or plant factories, have developed within the urban context following efforts to expand local food production and provide an alternative to conventional agriculture with lower rates of greenhouse gas emissions and resource consumption. One urban CEA system, container farms, consist of vertical hydroponic farms inside retrofitted shipping containers. The artificially controlled interior environments within container farms along with their portability and modularity allow container farms to grow food in a variety of otherwise unused locations regardless of climate and daylight availability. While container farms and plant factories in general may provide a promising option for sustainable urban agriculture, they are highly energy intensive, particularly for lighting and thermal control. As a result, urban designers and policy makers require holistic assessment tools and methodologies to understand the viability of plant factories in reducing the greenhouse gas emissions of food systems. However, due to limitations of building performance simulation (BPS) tools, existing urban design methodologies assess the energy use of plant factories using simplified building energy models that omit the energetic effects of plants. While previous studies have developed methods that consider plant-air interactions within BPS tools through the use of co-simulators, to date there has been a lack of energy validation studies for such models. This research attempts to bridge this gap by validating a first-principle hourly energy model for an operational hydroponic container farm located in Boston, Massachusetts. The energy model (NMBE of 3% and CV[RMSE]of 9%) combines a plant evapotranspiration model in parallel with a BPS tool, EnergyPlus. The validation focuses on the reliability of the energy model in predicting hourly conditioning loads and comments on the practical challenges and limitations of modeling hourly conditioning for container farms and other plant factories. Second, this research uses the validated energy model to simulate methods for reducing conditioning loads of container farms under various climate and upgrade scenarios. Finally, this research explores the integration of container farms in an urban neighborhood and the potential for reducing additional demands on the neighborhood's energy supply system.</Abstract>
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