Research Publications Authored by SLIIT Staff

Permanent URI for this communityhttps://rda.sliit.lk/handle/123456789/4195

This collection includes all SLIIT staff publications presented at external conferences and published in external journals. The materials are organized by faculty to facilitate easy retrieval.

Browse

Filters

2018 - 201912020 - 20221

Advanced Search

Filter by

Settings

Subject: search.filters.subject.Energy

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    PublicationEmbargo
    Energy and Operations Optimization for Effective Greenhouse Management
    (IEEE, 2022-12-09) Prihan Nimsara, K. I.; Bodaragama, J.; Roshan Maduwantha, K. A.; Fernando, S. D.
    IoT technology-based process automation that can be applied to a greenhouse leads to making condition management and status monitoring more robust while leading to saving energy and resources. The proposed system which is based on IoT technology and MQTT protocol can set optimal growth conditions for plant and seed growth within the greenhouse. The sensor-based inputs are to be transformed into the processed values based on the defined logic and the standard benchmarks gathered from the local agricultural authorities. The key areas of condition monitoring to be done via temperature, humidity, soil moisture, and lighting can ultimately yield an increased harvest having supported both the plant and seeds-based implementations for multiple types of plants. One of the most important factors to consider is that the farmers can have energy savings through the proposed solution by controlling the actuators in an optimal manner and reducing manual intervention by a considerable amount. The excess usage of electricity by lights and cooling fan usage in the greenhouse can be controlled with real-time data tracking and better analytics. The use of water can be properly maintained for the plants by putting only the required amount will make the soil wet and spraying the required amount to air will make better humidity control. Thus, the real-time condition-based controlling of the actuators leads to making the greenhouse operations more optimal and better utilization of resources and energy which ultimately results in financial benefits for the greenhouse owner. Based on the evaluated power consumption of the greenhouse power usage before and after the system was installed, the newly introduced system can save energy by having optimal control of actuators by performing algorithmic calculations to meet only the required level of weather conditions. This is to be proven experimentally by implementing the proposed system for a defined period of time under the monitoring of energy usage.
  • Thumbnail Image
    PublicationEmbargo
    Energy and Environmental Implications of Green House Gas Mitigation Policies in the Transport Sector of Sri Lanka
    (IEEE, 2018-10-24) Fernando, G. L; Liyanage, M. H; Samarasekara, G. N
    This study analyzes the greenhouse gas mitigation policy options for the transport sector in Sri Lanka. It was carried out through the Asia-Pacific Integrated Assessment Model (AIM/Enduse), which is a bottom up type least cost optimization framework. A business as usual scenario and four alternative mitigation policy options were considered in this study. These policy options include two scenarios with 100 $/tonCO 2 , 500 $/tonCO 2 carbon tax, a subsidy scenario with tax rebates for electric, hybrid vehicles and a scenario which promotes pubic transport. The results show that the transport sector energy consumption is expected to increase from 5 Mtoe in 2015 to 19.5 Mtoe in 2045. The CO 2 emissions are expected to increase from 15 Mton in 2015 to 58 Mton in 2045. Out of the four scenarios, promoting public transport was most effective as it could reduce energy consumption by 52% and reduce CO 2 emissions by almost 36% in 2045. At current electricity prices and other costs, electric vehicles are not found to be economical in the analysis.