Development of IoT-based water reduction system for improving clean water conservation

Ho, Hwi-chie; Puika, Kevin S.; Kasih, Tota Pirdo

doi:10.22630/pniks.2020.29.1.5

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…Green buildings construction [36][37][38]41,[43][44][45][46][47][48] Criterion applies to green and ecologically friendly processes in different aspects of building, from urban planning to material selection. Guidelines for creating sub-criteria are land management, bioclimatic design, use of ecological materials, and Renewable Energy Systems (RES), including waste management.…”

Section: Criterion and Descriptionmentioning

confidence: 99%

Interval Valued Pythagorean Fuzzy AHP Integrated Model in a Smartness Assessment Framework of Buildings

Milošević

Stević³

et al. 2023

Axioms

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Buildings can be made more user-friendly and secure by putting “smart” design strategies and technology processes in place. Such strategies and processes increase energy efficiency, make it possible to use resources rationally, and lower maintenance and construction costs. In addition to using wireless technologies and sensors to improve thermal, visual, and acoustic comfort, “smart” buildings are known for their energy, materials, water, and land management systems. Smart buildings use wireless technologies and sensors to improve thermal, visual, and acoustic comfort. These systems are known for managing energy, materials, water, and land. The task of the study is to consider the indicators that form the basis of the framework for evaluating intelligent buildings. The indicators for the development of “smart” buildings are classified into six categories in this paper: green building construction, energy management systems, safety and security management systems, occupant comfort and health, building automation and control management systems, and communication and data sharing. The paper aims to develop a scoring model for the smartness of public buildings. In developing the scoring system, the decision-making process requires an appropriate selection of the optimal solution. The contents of the research are the methods known as the Pythagorean Fuzzy Analytic Hierarchy Process (PF-AHP), Interval Valued Pythagorean Fuzzy AHP with differences (IVPF-AHP d), and the proposed method Interval Valued Pythagorean Fuzzy AHP (IVPF-AHP p). The research focuses on the IVPF-AHP as one of the methods of Multi-Criteria Decision-Making (MCDM) and its implementation. The comparative analysis of the three presented methods indicates a significant degree of similarity in the ranking, which confirms the ranking similarity. The results highlight the importance of bioclimatic design, smart metering, ecological materials, and renewable energy systems.

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Section: Criterion and Descriptionmentioning

confidence: 99%

Interval Valued Pythagorean Fuzzy AHP Integrated Model in a Smartness Assessment Framework of Buildings

Milošević

Stević³

et al. 2023

Axioms

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“…Cloud-based data sharing and storage [5,45,46] Data protection [5,45,46] Internet of Things [45,47,48] Wireless technologies [45,48] Cyber-physical system [8,10] 06. Sustainability features Renewable energy source [7,[49][50][51] Material Conservation [10,49,51] Water Conservation [9,10,51,52] Land Conservation [52] Usage of waste management strategies [52,53] A brief explanation of the major categories identified in Table 1 is provided below.…”

Section: Communication and Data Sharingmentioning

confidence: 99%

Developing a Scoring System to Evaluate the Level of Smartness in Commercial Buildings: A Case of Sri Lanka

Gunatilaka¹,

Abdeen

Sepasgozar

2021

Buildings

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Smart buildings (SBs) are developed in many different ways and are self-proclaimed smart. There are a great number of publications introducing smart systems using a wider range of tools and sensors. However, the level of smartness, functions of the smart system, and the usefulness of the system are not the same, which may give a wrong impression to clients or potential buyers of a building. Developing a scoring system that enables determining the overall smartness of a building is necessary. Despite the necessity, there is a dearth of studies in this area. Hence, the purpose of this study is to develop a scoring system to evaluate the level of smartness of Sri Lankan commercial buildings. Thus, initially, smart criteria were identified, defined, and categorized through a literature survey. Subsequently, 35 experts in the commercial building sector were interviewed. Finally, the relative importance of the smart criteria was derived through the AHP technique, and accordingly, a scoring system was developed. The study identified six main criteria to evaluate the smartness of buildings in the scoring system. The automation criterion with the highest relative weight was concluded to be the dominant criterion (45.59%) in the scoring system. Communication and data sharing were placed at second with a relative weight of 18.76% and indicates the importance given by the study findings in establishing the backbones of SBs. Occupants’ comfort, energy management, occupants’ health and safety, and sustainability criterion were ranked third, fourth, fifth, and sixth within the scoring system. This study is one of the first to investigate in detail the contribution of both soft and hard services of a facility in determining the overall smartness of a building. Property developers in the commercial building sector can benefit from this study by recognizing the necessary criteria to be embedded in their SB development projects in order to attract more tenants and customers.

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“…Water is one of the basic necessities for healthy existence. Having a sufficient supply of drinkable water promotes both the welfare of the population and the best possible growth of many industries (Albadry, 2017;Ho, Puika & Kasih, 2020). The inefficient everyday functioning of a water distribution system (WDS) imposes considerable consequences even if failure occurrences are unavoidable and frequently spectacular and expensive.…”

Section: Introductionmentioning

confidence: 99%

Simulation and assessment of water supply network for Al-Nasir network at Al-Najaf Governorate

Al-Mousawey¹,

Abed

2022

srees

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This study simulates and assesses the hydraulic features and residual chlorine in Al-Najaf city’s water supply network using WaterGEMS. Field and laboratory work was done to determine pressure heads, velocities, and chlorine residual. Constructed model was validated using field data. Values of RMSE were between 0.08 and 0.1, and 0.05 and 0.06 for pressure and residual chlorine, respectively. The examination of water distribution system (WDS) during peak demand hours indicated that the pump unit’s capacity could not meet the high-water demand, resulting pressure loss with values between 0.1 and 2 bar. Simulated residual chlorine levels ranged between 0.45 and 0.8 ppm.

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Development of IoT-based water reduction system for improving clean water conservation

Cited by 3 publications

References 6 publications

Interval Valued Pythagorean Fuzzy AHP Integrated Model in a Smartness Assessment Framework of Buildings

Interval Valued Pythagorean Fuzzy AHP Integrated Model in a Smartness Assessment Framework of Buildings

Developing a Scoring System to Evaluate the Level of Smartness in Commercial Buildings: A Case of Sri Lanka

Simulation and assessment of water supply network for Al-Nasir network at Al-Najaf Governorate

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