Intelligent Management Systems for Energy Efficiency in Buildings
In recent years, reduction of energy consumption in buildings has increasingly gained interest among researchers mainly due to practical reasons, such as economic advantages and long-term environmental sustainability. Many solutions have been proposed in the literature to address this important issu...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
De Paola, Alessandra [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Rechteinformationen: |
Nutzungsrecht: © COPYRIGHT 2015 Association for Computing Machinery, Inc. |
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| Schlagwörter: |
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| Systematik: |
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| Übergeordnetes Werk: |
Enthalten in: ACM computing surveys - New York, NY : ACM Press, 1971, 47(2014), 1, Seite 1-38 |
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| Übergeordnetes Werk: |
volume:47 ; year:2014 ; number:1 ; pages:1-38 |
| Links: |
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| DOI / URN: |
10.1145/2611779 |
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OLC1963416341 |
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| 520 | |a In recent years, reduction of energy consumption in buildings has increasingly gained interest among researchers mainly due to practical reasons, such as economic advantages and long-term environmental sustainability. Many solutions have been proposed in the literature to address this important issue from complementary perspectives, which are often hard to capture in a comprehensive manner. This survey article aims at providing a structured and unifying treatment of the existing literature on intelligent energy management systems in buildings, with a distinct focus on available architectures and methodology supporting a vision transcending the well-established smart home vision, in favor of the novel Ambient Intelligence paradigm. Our exposition will cover the main architectural components of such systems, beginning with the basic sensory infrastructure, moving on to the data processing engine where energy-saving strategies may be enacted, to the user interaction interface subsystem, and finally to the actuation infrastructure necessary to transfer the planned modifications to the environment. For each component, we will analyze different solutions, and we will provide qualitative comparisons, also highlighting the impact that a single design choice can have on the rest of the system. | ||
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| 650 | 4 | |a Building management systems | |
| 650 | 4 | |a ambient intelligence | |
| 650 | 4 | |a energy saving | |
| 650 | 4 | |a Sustainable development | |
| 650 | 4 | |a Energy efficiency | |
| 650 | 4 | |a Studies | |
| 650 | 4 | |a Building automation | |
| 650 | 4 | |a Buildings | |
| 650 | 4 | |a Energy conservation | |
| 650 | 4 | |a Energy use | |
| 650 | 4 | |a Surveys | |
| 650 | 4 | |a Architecture and energy conservation | |
| 650 | 4 | |a Energy management systems | |
| 700 | 1 | |a Ortolani, Marco |4 oth | |
| 700 | 1 | |a Lo Re, Giuseppe |4 oth | |
| 700 | 1 | |a Anastasi, Giuseppe |4 oth | |
| 700 | 1 | |a Das, Sajal K |4 oth | |
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10.1145/2611779 doi PQ20160617 (DE-627)OLC1963416341 (DE-599)GBVOLC1963416341 (PRQ)a2143-3992af685447dd5cecb73f7ebfe1f5d2cadc814812421f43751c779c132105d0 (KEY)0016644820140000047000100001intelligentmanagementsystemsforenergyefficiencyinb DE-627 ger DE-627 rakwb eng 004 DNB SA 2943 AVZ rvk De Paola, Alessandra verfasserin aut Intelligent Management Systems for Energy Efficiency in Buildings 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In recent years, reduction of energy consumption in buildings has increasingly gained interest among researchers mainly due to practical reasons, such as economic advantages and long-term environmental sustainability. Many solutions have been proposed in the literature to address this important issue from complementary perspectives, which are often hard to capture in a comprehensive manner. This survey article aims at providing a structured and unifying treatment of the existing literature on intelligent energy management systems in buildings, with a distinct focus on available architectures and methodology supporting a vision transcending the well-established smart home vision, in favor of the novel Ambient Intelligence paradigm. Our exposition will cover the main architectural components of such systems, beginning with the basic sensory infrastructure, moving on to the data processing engine where energy-saving strategies may be enacted, to the user interaction interface subsystem, and finally to the actuation infrastructure necessary to transfer the planned modifications to the environment. For each component, we will analyze different solutions, and we will provide qualitative comparisons, also highlighting the impact that a single design choice can have on the rest of the system. Nutzungsrecht: © COPYRIGHT 2015 Association for Computing Machinery, Inc. Building management systems ambient intelligence energy saving Sustainable development Energy efficiency Studies Building automation Buildings Energy conservation Energy use Surveys Architecture and energy conservation Energy management systems Ortolani, Marco oth Lo Re, Giuseppe oth Anastasi, Giuseppe oth Das, Sajal K oth Enthalten in ACM computing surveys New York, NY : ACM Press, 1971 47(2014), 1, Seite 1-38 (DE-627)130416312 (DE-600)626472-4 (DE-576)01824579X 0360-0300 nnns volume:47 year:2014 number:1 pages:1-38 http://dx.doi.org/10.1145/2611779 Volltext http://dl.acm.org/citation.cfm?id=2611779 http://search.proquest.com/docview/1547934276 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_24 GBV_ILN_30 GBV_ILN_70 GBV_ILN_110 GBV_ILN_2004 GBV_ILN_2021 GBV_ILN_2190 GBV_ILN_4125 GBV_ILN_4318 GBV_ILN_4336 SA 2943 AR 47 2014 1 1-38 |
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10.1145/2611779 doi PQ20160617 (DE-627)OLC1963416341 (DE-599)GBVOLC1963416341 (PRQ)a2143-3992af685447dd5cecb73f7ebfe1f5d2cadc814812421f43751c779c132105d0 (KEY)0016644820140000047000100001intelligentmanagementsystemsforenergyefficiencyinb DE-627 ger DE-627 rakwb eng 004 DNB SA 2943 AVZ rvk De Paola, Alessandra verfasserin aut Intelligent Management Systems for Energy Efficiency in Buildings 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In recent years, reduction of energy consumption in buildings has increasingly gained interest among researchers mainly due to practical reasons, such as economic advantages and long-term environmental sustainability. Many solutions have been proposed in the literature to address this important issue from complementary perspectives, which are often hard to capture in a comprehensive manner. This survey article aims at providing a structured and unifying treatment of the existing literature on intelligent energy management systems in buildings, with a distinct focus on available architectures and methodology supporting a vision transcending the well-established smart home vision, in favor of the novel Ambient Intelligence paradigm. Our exposition will cover the main architectural components of such systems, beginning with the basic sensory infrastructure, moving on to the data processing engine where energy-saving strategies may be enacted, to the user interaction interface subsystem, and finally to the actuation infrastructure necessary to transfer the planned modifications to the environment. For each component, we will analyze different solutions, and we will provide qualitative comparisons, also highlighting the impact that a single design choice can have on the rest of the system. Nutzungsrecht: © COPYRIGHT 2015 Association for Computing Machinery, Inc. Building management systems ambient intelligence energy saving Sustainable development Energy efficiency Studies Building automation Buildings Energy conservation Energy use Surveys Architecture and energy conservation Energy management systems Ortolani, Marco oth Lo Re, Giuseppe oth Anastasi, Giuseppe oth Das, Sajal K oth Enthalten in ACM computing surveys New York, NY : ACM Press, 1971 47(2014), 1, Seite 1-38 (DE-627)130416312 (DE-600)626472-4 (DE-576)01824579X 0360-0300 nnns volume:47 year:2014 number:1 pages:1-38 http://dx.doi.org/10.1145/2611779 Volltext http://dl.acm.org/citation.cfm?id=2611779 http://search.proquest.com/docview/1547934276 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_24 GBV_ILN_30 GBV_ILN_70 GBV_ILN_110 GBV_ILN_2004 GBV_ILN_2021 GBV_ILN_2190 GBV_ILN_4125 GBV_ILN_4318 GBV_ILN_4336 SA 2943 AR 47 2014 1 1-38 |
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10.1145/2611779 doi PQ20160617 (DE-627)OLC1963416341 (DE-599)GBVOLC1963416341 (PRQ)a2143-3992af685447dd5cecb73f7ebfe1f5d2cadc814812421f43751c779c132105d0 (KEY)0016644820140000047000100001intelligentmanagementsystemsforenergyefficiencyinb DE-627 ger DE-627 rakwb eng 004 DNB SA 2943 AVZ rvk De Paola, Alessandra verfasserin aut Intelligent Management Systems for Energy Efficiency in Buildings 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In recent years, reduction of energy consumption in buildings has increasingly gained interest among researchers mainly due to practical reasons, such as economic advantages and long-term environmental sustainability. Many solutions have been proposed in the literature to address this important issue from complementary perspectives, which are often hard to capture in a comprehensive manner. This survey article aims at providing a structured and unifying treatment of the existing literature on intelligent energy management systems in buildings, with a distinct focus on available architectures and methodology supporting a vision transcending the well-established smart home vision, in favor of the novel Ambient Intelligence paradigm. Our exposition will cover the main architectural components of such systems, beginning with the basic sensory infrastructure, moving on to the data processing engine where energy-saving strategies may be enacted, to the user interaction interface subsystem, and finally to the actuation infrastructure necessary to transfer the planned modifications to the environment. For each component, we will analyze different solutions, and we will provide qualitative comparisons, also highlighting the impact that a single design choice can have on the rest of the system. Nutzungsrecht: © COPYRIGHT 2015 Association for Computing Machinery, Inc. Building management systems ambient intelligence energy saving Sustainable development Energy efficiency Studies Building automation Buildings Energy conservation Energy use Surveys Architecture and energy conservation Energy management systems Ortolani, Marco oth Lo Re, Giuseppe oth Anastasi, Giuseppe oth Das, Sajal K oth Enthalten in ACM computing surveys New York, NY : ACM Press, 1971 47(2014), 1, Seite 1-38 (DE-627)130416312 (DE-600)626472-4 (DE-576)01824579X 0360-0300 nnns volume:47 year:2014 number:1 pages:1-38 http://dx.doi.org/10.1145/2611779 Volltext http://dl.acm.org/citation.cfm?id=2611779 http://search.proquest.com/docview/1547934276 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_24 GBV_ILN_30 GBV_ILN_70 GBV_ILN_110 GBV_ILN_2004 GBV_ILN_2021 GBV_ILN_2190 GBV_ILN_4125 GBV_ILN_4318 GBV_ILN_4336 SA 2943 AR 47 2014 1 1-38 |
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10.1145/2611779 doi PQ20160617 (DE-627)OLC1963416341 (DE-599)GBVOLC1963416341 (PRQ)a2143-3992af685447dd5cecb73f7ebfe1f5d2cadc814812421f43751c779c132105d0 (KEY)0016644820140000047000100001intelligentmanagementsystemsforenergyefficiencyinb DE-627 ger DE-627 rakwb eng 004 DNB SA 2943 AVZ rvk De Paola, Alessandra verfasserin aut Intelligent Management Systems for Energy Efficiency in Buildings 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In recent years, reduction of energy consumption in buildings has increasingly gained interest among researchers mainly due to practical reasons, such as economic advantages and long-term environmental sustainability. Many solutions have been proposed in the literature to address this important issue from complementary perspectives, which are often hard to capture in a comprehensive manner. This survey article aims at providing a structured and unifying treatment of the existing literature on intelligent energy management systems in buildings, with a distinct focus on available architectures and methodology supporting a vision transcending the well-established smart home vision, in favor of the novel Ambient Intelligence paradigm. Our exposition will cover the main architectural components of such systems, beginning with the basic sensory infrastructure, moving on to the data processing engine where energy-saving strategies may be enacted, to the user interaction interface subsystem, and finally to the actuation infrastructure necessary to transfer the planned modifications to the environment. For each component, we will analyze different solutions, and we will provide qualitative comparisons, also highlighting the impact that a single design choice can have on the rest of the system. Nutzungsrecht: © COPYRIGHT 2015 Association for Computing Machinery, Inc. Building management systems ambient intelligence energy saving Sustainable development Energy efficiency Studies Building automation Buildings Energy conservation Energy use Surveys Architecture and energy conservation Energy management systems Ortolani, Marco oth Lo Re, Giuseppe oth Anastasi, Giuseppe oth Das, Sajal K oth Enthalten in ACM computing surveys New York, NY : ACM Press, 1971 47(2014), 1, Seite 1-38 (DE-627)130416312 (DE-600)626472-4 (DE-576)01824579X 0360-0300 nnns volume:47 year:2014 number:1 pages:1-38 http://dx.doi.org/10.1145/2611779 Volltext http://dl.acm.org/citation.cfm?id=2611779 http://search.proquest.com/docview/1547934276 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_24 GBV_ILN_30 GBV_ILN_70 GBV_ILN_110 GBV_ILN_2004 GBV_ILN_2021 GBV_ILN_2190 GBV_ILN_4125 GBV_ILN_4318 GBV_ILN_4336 SA 2943 AR 47 2014 1 1-38 |
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In recent years, reduction of energy consumption in buildings has increasingly gained interest among researchers mainly due to practical reasons, such as economic advantages and long-term environmental sustainability. Many solutions have been proposed in the literature to address this important issue from complementary perspectives, which are often hard to capture in a comprehensive manner. This survey article aims at providing a structured and unifying treatment of the existing literature on intelligent energy management systems in buildings, with a distinct focus on available architectures and methodology supporting a vision transcending the well-established smart home vision, in favor of the novel Ambient Intelligence paradigm. Our exposition will cover the main architectural components of such systems, beginning with the basic sensory infrastructure, moving on to the data processing engine where energy-saving strategies may be enacted, to the user interaction interface subsystem, and finally to the actuation infrastructure necessary to transfer the planned modifications to the environment. For each component, we will analyze different solutions, and we will provide qualitative comparisons, also highlighting the impact that a single design choice can have on the rest of the system. |
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In recent years, reduction of energy consumption in buildings has increasingly gained interest among researchers mainly due to practical reasons, such as economic advantages and long-term environmental sustainability. Many solutions have been proposed in the literature to address this important issue from complementary perspectives, which are often hard to capture in a comprehensive manner. This survey article aims at providing a structured and unifying treatment of the existing literature on intelligent energy management systems in buildings, with a distinct focus on available architectures and methodology supporting a vision transcending the well-established smart home vision, in favor of the novel Ambient Intelligence paradigm. Our exposition will cover the main architectural components of such systems, beginning with the basic sensory infrastructure, moving on to the data processing engine where energy-saving strategies may be enacted, to the user interaction interface subsystem, and finally to the actuation infrastructure necessary to transfer the planned modifications to the environment. For each component, we will analyze different solutions, and we will provide qualitative comparisons, also highlighting the impact that a single design choice can have on the rest of the system. |
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In recent years, reduction of energy consumption in buildings has increasingly gained interest among researchers mainly due to practical reasons, such as economic advantages and long-term environmental sustainability. Many solutions have been proposed in the literature to address this important issue from complementary perspectives, which are often hard to capture in a comprehensive manner. This survey article aims at providing a structured and unifying treatment of the existing literature on intelligent energy management systems in buildings, with a distinct focus on available architectures and methodology supporting a vision transcending the well-established smart home vision, in favor of the novel Ambient Intelligence paradigm. Our exposition will cover the main architectural components of such systems, beginning with the basic sensory infrastructure, moving on to the data processing engine where energy-saving strategies may be enacted, to the user interaction interface subsystem, and finally to the actuation infrastructure necessary to transfer the planned modifications to the environment. For each component, we will analyze different solutions, and we will provide qualitative comparisons, also highlighting the impact that a single design choice can have on the rest of the system. |
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