Application of Multi-Criteria Decision-Making Tool for Choosing Right Biogas Plants: Process Controllability, Suitability, and Cost Perspectives in the Indian Context

Jamal, Haris; Loganathan, M. K.; Ramesh, P. G.; Singh, Mandeep; Kumar, Girish

doi:10.1007/978-981-19-8517-1_21

Cited by 2 publications

(1 citation statement)

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“…Moreover, the benefits of industrial IoT and artificial intelligence in power plants are highlighted, including better fault and aging prediction, comprehensive failure classification, timely decision making, cost reduction, and maintenance planning. A multi-criteria-based decision-making tool is developed in [14] to include important criteria, such as the process controllability, suitability, and cost of the biogas plants, for an appropriate selection of biogas plants, which are promising renewable energy sources.…”

Section: Introductionmentioning

confidence: 99%

Application of Internet of Things in Residential Distribution Systems

Alfraidi,

Alaql,

Soltani

et al. 2023

Sustainability

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Enabling an internet of things (IoT) application in residential distribution systems by integrating houses with IoT windows and occupant behavior can provide numerous advantages to the power grid, including, but not limited to, demand diminution, congestion reduction, and capacity deferral. This paper presents a new framework that mathematically enables an IoT application in residential distribution systems by integrating IoT windows and occupant behavior with houses for load management and energy conservation. With the proposed framework, we model residential loads considering the IoT concept, and then develop a mathematical optimization model that facilitates the integration of IoT-based houses into the residential distribution system. Different case studies considering a 33-bus distribution network are presented and discussed to demonstrate the effectiveness of penetrating IoT-based houses on distribution system operations and household profitability. It is observed that the profit of the local distribution company decreases when houses are transformed to IoT-based houses due to the fact that less energy is sold to the households. On the other hand, the operation cost of the IoT-based house is lower than that of the conventional house because of the better-managed house energy use, thereby resulting in saving money. It is found that 10% and 20% penetrations of IoT-based houses help reduce the maximum power imported through the distribution substation by 30 kW and 60 kW, respectively. It is also found that the load of IoT-based houses and power availability of a rooftop photovoltaic generation are not compatible, and hence, without an action from the customer and/or utility to coordinate them through a demand response program, IoT-based houses would not contribute to increasing the connectivity of PV-distributed generation in the smart grid.

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Section: Introductionmentioning

confidence: 99%