International Journal of Sustainable Energy, Год журнала: 2024, Номер 43(1)
Опубликована: Ноя. 11, 2024
Язык: Английский
Algorithms, Год журнала: 2023, Номер 16(10), С. 482 - 482
Опубликована: Окт. 17, 2023
The Smart Readiness Indicator (SRI) is a newly developed framework that measures building’s technological readiness to improve its energy efficiency. integration of data obtained from this with derived Building Information Modeling (BIM) has the potential yield compelling results. This research proposes an algorithm for Recommendation System (RS) uses SRI and BIM advise on building energy-efficiency improvements. Following modular programming approach, proposed system split into two algorithmic approaches linked distinct use cases. In first case, are utilized provide thermal envelope enhancement recommendations. A hybrid Machine Learning (ML) (Random Forest–Decision Tree) trained using Industry Foundation Class (IFC) model CERTH’S nZEB Home in Greece Passive House database data. second develop RS Heating, Ventilation, Air Conditioning (HVAC) improvement, which process utilizes filtering function KNN suggest automation levels service Considering results both cases, paper provides solid exploits more possibilities coupling It presents novel these facilitate development increasing
Язык: Английский
Процитировано
8
Energy and Buildings, Год журнала: 2023, Номер 301, С. 113673 - 113673
Опубликована: Окт. 27, 2023
Язык: Английский
Процитировано
8
Sustainable Cities and Society, Год журнала: 2024, Номер 101, С. 105206 - 105206
Опубликована: Янв. 14, 2024
Although several sustainability rating systems have been proposed to assess the performance of projects, there is still no comprehensive framework support implementation smart solutions within buildings and neighborhoods. To bridge this gap, research project aims propose an assessment measure readiness neighborhood which can make a significant contribution in structuring valuing existing potential technologies through various conceptual levels smartness. This developed using mixed method approach three phases: i) creating taxonomy smartening KPIs; ii) assigning weights KPIs by formulating determinant indexes reflecting ESG targets (Customized based on four well-known certifications namely, LEED, BREEAM, DGNB, GRESB); iii) introducing output-based measurement method; finally, tested case study. The different use resulted progressive sum scores emphasized importance stakeholders' engagement planning scenarios. empowers managers policymakers clarify objective level smartness mostly social environmental aspects quantitatively distinguish critical differences between smarter
Язык: Английский
Процитировано
2
BIO Web of Conferences, Год журнала: 2024, Номер 86, С. 01083 - 01083
Опубликована: Янв. 1, 2024
The energy efficiency of smart home technology, such as solar panels, lighting controls, thermostats, and appliances, was thoroughly assessed by the study. Notable savings were achieved energy-efficient settings; ovens, washing machines, refrigerators had average consumption reductions 10% to 15%. When lights dishwashers configured in settings, their Energy Star ratings increased dramatically. During times when thermostat is not use, thermostats preserve comfort while cutting an 1°C. Consistent power generation from panels lessens reliance on grid. research promotes holistic techniques highlighting cost savings, environmental advantages, possible synergies integrating several devices homes. In order improve domestic efficiency, future study fields include long-term evaluations, user behavior analysis, grid integration.
Язык: Английский
Процитировано
2
International Journal of Sustainable Energy, Год журнала: 2024, Номер 43(1)
Опубликована: Ноя. 11, 2024
Язык: Английский
Процитировано
2