A satisfaction-range approach for achieving thermal comfort level in a shared office

Pazhoohesh, Mehdi; Zhang, Cheng

doi:10.1016/j.buildenv.2018.06.008

Cited by 33 publications

(9 citation statements)

References 19 publications

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“…Smaller uncertainty bounds are induced on the infiltration parameter, and larger on the CO 2 generation per occupant. The fuzzification of the latter parameters is implemented by a symmetric triangular fuzzy number, given by Equation (20), where the supports have been calculated byθ 1 ± 10% andθ 3 ± 30% for the infiltration parameter and the carbon dioxide generation, respectively. The estimated parametersθ 1 andθ 3 are the cores of the fuzzy sets that describe the uncertainty of the infiltration and CO 2 generation.…”

Section: Fuzzy Occupancy Estimationmentioning

confidence: 99%

“…In comparison with CMIP5, the most notable difference in CMIP6 is that the models consider both RCPs and Shared Socioeconomic Pathways (SSPs) [19]. With increasing availability of state-of-the-art GCMs, many studies have investigated the future climate of China, including the mean climate and climatic extremes such as droughts and floods [20][21][22]. However, few studies have evaluated the performance of In the second profile, the overall consumptions is 1528 kWh, meaning a reduction of 135 kWh (Comparison with the first column of Table 5).…”

Section: Macs Taking Intomentioning

confidence: 99%

“…In [18], a MACS for a building with two rooms is proposed in order to control the thermal comfort of the two rooms through a central HVAC system. Intelligent control of HVAC systems [19] is also studied in [20] using a fuzzy based approach for personal comfort satisfaction. In [21] a MACS with multiple layers and a central agent for coordination is proposed.…”

Section: Introductionmentioning

confidence: 99%

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Computational Intelligence Technologies for Occupancy Estimation and Comfort Control in Buildings

2021

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This paper focuses on the development of a multi agent control system (MACS), combined with a stochastic based approach for occupancy estimation. The control framework aims to maintain the comfort levels of a building in high levels and reduce the overall energy consumption. Three independent agents, each dedicated to the thermal comfort, the visual comfort, and the indoor air quality, are deployed. A stochastic model describing the CO2 concentration has been studied, focused on the occupancy estimation problem. A probabilistic approach, as well as an evolutionary algorithm, are used to provide insights on the stochastic model. Moreover, in order to induce uncertainty, parameters are treated in a fuzzy modelling framework and the results on the occupancy estimation are investigated. In the control framework, to cope with the continuous state-action space, the three agents utilise Fuzzy Q-learning. Simulation results highlight the precision of parameter and occupancy estimation, as well as the high capabilities of the control framework, when taking into account the occupancy state, as energy consumption is reduced by 55.9%, while the overall comfort index is kept in high levels, with values close to one.

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Section: Fuzzy Occupancy Estimationmentioning

confidence: 99%

Section: Macs Taking Intomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Computational Intelligence Technologies for Occupancy Estimation and Comfort Control in Buildings

2021

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“…For example, gender specific analysis indicates higher dissatisfaction rates for female occupants [11,[16][17][18][19]. Recent research has widely focused on individual perception of TC [20][21][22], developed methods to analyze the preferences for TC using machine learning algorithms [23,24] and adapt systems to provide preferable personal comfort by implementing Personalized Comfort Systems [20][21][22]25]. Utilization of such systems in buildings requires paradigm shifts in occupant interaction with HVAC systems as well as system design practices, integration of advanced controls and information technologies solutions [26,27].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study on Cooling Period Thermal Comfort Assessment in Modern Open Office Landscape in Estonia

et al. 2020

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Local thermal comfort and draught rate has been studied widely. There has been more meaningful research performed in controlled boundary condition situations than in actual work environments involving occupants. Thermal comfort conditions in office buildings in Estonia have been barely investigated in the past. In this paper, the results of thermal comfort and draught rate assessment in five office buildings in Tallinn are presented and discussed. Studied office landscapes vary in heating, ventilation and cooling system parameters, room units, and elements. All sample buildings were less than six years old, equipped with dedicated outdoor air ventilation system and room conditioning units. The on-site measurements consisted of thermal comfort and draught rate assessment with indoor climate questionnaire. The purpose of the survey is to assess the correspondence between heating, ventilation and cooling system design, and the actual situation. Results show, whether and in what extent the standard-based criteria for thermal comfort is suitable for actual usage of the occupants. Preferring one room conditioning unit type or system may not guarantee better thermal environment without draught. Although some heating, ventilation and cooling systems observed in this study should create the prerequisites for ensuring more comfort, results show that this is not the case for all buildings in this study.

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“…Many research have been conducted in this field to evaluate the effect of parameters namely, Pazhoohesh et al have studied in thermal comfort by image processing [9][10][11], Ghayouraneh has worked on ODM method to evaluate On-Demand Mobility [12][13][14]. Therefore, different methods have been used to evaluate the problem like neural network [15][16] and wireless sensor networks [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Decision making criteria for Optimal Selection of Innovative Daylighting Systems in Buildings, Using Integrated Delphi/Dematel/AHP Approach

Gashniani

2020

IJMMU

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Nowadays, dense cities has led towards the decrease of daylight penetration into the interior space. Daylight crisis in buildings brings significant challenges to architecture, in three domains of economic, health - wellbeing and environment. "Light well" as one of the most common means of daylight tolls in building, experiences severe limitations and requires special attention. The question is which strategy is the best for increasing the daylight penetration to the depth of buildings. One of the main challenges in deep plan is to guide daylight into the building core and this can be performed through daylighting strategies, but the choice of the proper innovative daylighting system (IDS) with several parameters is the problem. This paper aims to find elements for optimal choice and selecting context-compatible tools for light well. The result shows that four macro factors were found at the interaction of building and IDS. Identifying the integration components can play an effective role in decision-making or design a new tolls consistent with the physical conditions of light well and building to overcome the daylight crisis. The present study aimed to identify, evaluate, and weigh the factors affecting the selection of appropriate and innovative daylighting systems for buildings. To this end, a three-phase study was planned and carried out. In the first phase, the factors affecting the selection of daylighting systems for the building were screened and finalized by using the Delphi method in three steps. In the second phase, interactions between criteria and sub-criteria were evaluated by the DEMATEL technique and then the network of communications and significant relationship between them were determined. The analytic hierarchy process (AHP) was employed in the third phase to evaluate the criteria and determine their importance in the selection of daylighting systems. Finally, the relevant sub-criteria were extracted and prioritized. The results indicated that structural, economic, and technical criteria were more effective than functional criteria in the selection of daylighting systems for buildings.

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A satisfaction-range approach for achieving thermal comfort level in a shared office

Cited by 33 publications

References 19 publications

Computational Intelligence Technologies for Occupancy Estimation and Comfort Control in Buildings

Computational Intelligence Technologies for Occupancy Estimation and Comfort Control in Buildings

A Comparative Study on Cooling Period Thermal Comfort Assessment in Modern Open Office Landscape in Estonia

Decision making criteria for Optimal Selection of Innovative Daylighting Systems in Buildings, Using Integrated Delphi/Dematel/AHP Approach

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