Repository logo
Research Outputs
Projects
People
Statistics
  1. Home
  2. HSG CRIS
  3. HSG Publications
  4. Every Thing Under the Sun: How Web of Things and Semantic Data Brings Benefit to Small-Scale Photovoltaic Installations
Details

Every Thing Under the Sun: How Web of Things and Semantic Data Brings Benefit to Small-Scale Photovoltaic Installations

Type
conference paper
Date Issued
2022-11
Author(s)
Ganesh Ramanathan  
;
Marella, Srinivas
DOI
10.1145/3567445.3571113
Abstract (De)
Small-scale photovoltaic (PV) systems of up to a few kilowatts capacities are becoming increasingly available and affordable for off-grid installations. However, in our experience with using PV energy in farming in India, we found that many installations had faults or were lying underutilized. Though integrating such systems into IoT applications is now practical, analyzing the system's performance and utilization requires knowledge of the components and the system design. Off-band infusion of this knowledge into the software applications leads to tight coupling and vertical silos. To address this challenge, we have developed an ontology to describe small-scale PV installations, which enables us to represent subsystems and their components in the form of Web of Things (WoT) Thing Descriptions. We show that our approach results in technical and semantic integration of the PV system into IoT applications, allowing the development of reusable fault detection and optimization programs.
This reduces the cost of developing solutions to monitor and optimize the usage of PV systems, thereby bringing benefits to the farming community by improving their livelihood.
Language
English
HSG Classification
contribution to scientific community
Publisher
ACM, New York, NY, USA
Event Title
Workshop on Next Generation IoT
Event Location
Delft, Netherlands
Event Date
7 November 2022
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/108126
Subject(s)

computer science

Eprints ID
267989
File(s)
Thumbnail Image
Name

_NGIOT2022_Semantic_Solar___ACM_format.pdf

Size

1009.8 KB

Format

Adobe PDF

Checksum (MD5)

9c3faa2afdbd8bb0b82048eb770dc11e

Support
HSG researchers can find instructions here for adding or importing publications (DOI, ORCID). Please send questions to alexandria@unisg.ch

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify