A market study of early adopters of fault detection and diagnosis tools for rooftop HVAC systems
Retrofit fault detection and diagnosis (FDD) products are undergoing major advances in their ability to optimize the operation and maintenance of building heating, ventilation, and air conditioning (HVAC) systems as a result of advances in artificial intelligence, cloud computing, and low-cost senso...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722024039 |
| _version_ | 1797901862118096896 |
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| author | Mohammed G. Albayati Julia De Oliveira Prathamesh Patil Ravi Gorthala Amy E. Thompson |
| author_facet | Mohammed G. Albayati Julia De Oliveira Prathamesh Patil Ravi Gorthala Amy E. Thompson |
| author_sort | Mohammed G. Albayati |
| collection | DOAJ |
| description | Retrofit fault detection and diagnosis (FDD) products are undergoing major advances in their ability to optimize the operation and maintenance of building heating, ventilation, and air conditioning (HVAC) systems as a result of advances in artificial intelligence, cloud computing, and low-cost sensor networks. However, many market barriers still exist to their widespread adoption. This paper is the first to study the market and barriers for FDD products from the perspective of early adopters of HVAC rooftop retrofit FDD products as part of a field study of early adopters. Researchers engaged multiple sites and installed different FDD products at these sites for the purposes of (1) evaluating market readiness, market barriers, and user experience, (2) evaluating energy and demand savings, (3) evaluating the purchase, installation, training, and use process, and (4) determining overall FDD product effectiveness. This paper presents and focuses on the market study goals, methods, results, and findings determined based on survey data collected from key stakeholders participating in the study. These stakeholders included FDD providers, energy efficiency program managers and engineers, HVAC contractors, building owners, facility managers, energy managers, and consultants. The study provides results and analyses concerning (1) current knowledge and awareness levels for FDD technologies, (2) attitudes towards FDD products, (3) market barriers and resources available for FDD, and (4) insights on how stakeholders perceive and determine the value and cost for purchasing, using, and adopting FDD technologies and products. The study produced twelve (12) key findings, which provide valuable input for energy efficiency programs in their development of more effective FDD marketing programs that can increase adoption of FDD technologies and reduce barriers to widespread adoption. |
| first_indexed | 2024-04-10T09:08:39Z |
| format | Article |
| id | doaj.art-4a6bbff398d74cfcabc035ea3a926f00 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T09:08:39Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-4a6bbff398d74cfcabc035ea3a926f002023-02-21T05:14:31ZengElsevierEnergy Reports2352-48472022-11-0181491514933A market study of early adopters of fault detection and diagnosis tools for rooftop HVAC systemsMohammed G. Albayati0Julia De Oliveira1Prathamesh Patil2Ravi Gorthala3Amy E. Thompson4Mechanical Engineering Department, University of Connecticut, 159 Discovery Drive, Unit 5183, Storrs, CT 06269, United States of AmericaMechanical Engineering Department, University of Connecticut, 159 Discovery Drive, Unit 5183, Storrs, CT 06269, United States of AmericaMechanical Engineering Department, University of Connecticut, 159 Discovery Drive, Unit 5183, Storrs, CT 06269, United States of AmericaMechanical Engineering Department, University of Connecticut, 159 Discovery Drive, Unit 5183, Storrs, CT 06269, United States of AmericaCorresponding author.; Mechanical Engineering Department, University of Connecticut, 159 Discovery Drive, Unit 5183, Storrs, CT 06269, United States of AmericaRetrofit fault detection and diagnosis (FDD) products are undergoing major advances in their ability to optimize the operation and maintenance of building heating, ventilation, and air conditioning (HVAC) systems as a result of advances in artificial intelligence, cloud computing, and low-cost sensor networks. However, many market barriers still exist to their widespread adoption. This paper is the first to study the market and barriers for FDD products from the perspective of early adopters of HVAC rooftop retrofit FDD products as part of a field study of early adopters. Researchers engaged multiple sites and installed different FDD products at these sites for the purposes of (1) evaluating market readiness, market barriers, and user experience, (2) evaluating energy and demand savings, (3) evaluating the purchase, installation, training, and use process, and (4) determining overall FDD product effectiveness. This paper presents and focuses on the market study goals, methods, results, and findings determined based on survey data collected from key stakeholders participating in the study. These stakeholders included FDD providers, energy efficiency program managers and engineers, HVAC contractors, building owners, facility managers, energy managers, and consultants. The study provides results and analyses concerning (1) current knowledge and awareness levels for FDD technologies, (2) attitudes towards FDD products, (3) market barriers and resources available for FDD, and (4) insights on how stakeholders perceive and determine the value and cost for purchasing, using, and adopting FDD technologies and products. The study produced twelve (12) key findings, which provide valuable input for energy efficiency programs in their development of more effective FDD marketing programs that can increase adoption of FDD technologies and reduce barriers to widespread adoption.http://www.sciencedirect.com/science/article/pii/S2352484722024039Heating ventilation and air-conditioningFault detection and diagnosticsEnergy efficiencyMarket studyTechnology adoptionRooftop unit |
| spellingShingle | Mohammed G. Albayati Julia De Oliveira Prathamesh Patil Ravi Gorthala Amy E. Thompson A market study of early adopters of fault detection and diagnosis tools for rooftop HVAC systems Energy Reports Heating ventilation and air-conditioning Fault detection and diagnostics Energy efficiency Market study Technology adoption Rooftop unit |
| title | A market study of early adopters of fault detection and diagnosis tools for rooftop HVAC systems |
| title_full | A market study of early adopters of fault detection and diagnosis tools for rooftop HVAC systems |
| title_fullStr | A market study of early adopters of fault detection and diagnosis tools for rooftop HVAC systems |
| title_full_unstemmed | A market study of early adopters of fault detection and diagnosis tools for rooftop HVAC systems |
| title_short | A market study of early adopters of fault detection and diagnosis tools for rooftop HVAC systems |
| title_sort | market study of early adopters of fault detection and diagnosis tools for rooftop hvac systems |
| topic | Heating ventilation and air-conditioning Fault detection and diagnostics Energy efficiency Market study Technology adoption Rooftop unit |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722024039 |
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