Authors: Supun De Silva and Viraj Muthugala
Electric Vehicles (EVs) are an emerging trend in the global and local transportation sectors. Currently, the local transportation system is powered by fossil fuel. Burning of fossil fuel for transportation in large quantities using Internal Combustion Engine Vehicles (ICEVs) in urbanized areas, had reduced the air quality which impact on the quality of life of the people and the environment. The electricity generation mix of Sri Lanka, consist of high percentage of thermal power, hence EVs alone would not assist to reduce the carbon footprint. Therefore, providing power for EVs with renewable power sources is much beneficial. Roof-top Solar power Generation systems for Homes (RSGH) in conjunction with EVs can be used to reduce the carbon footprint and improve the energy efficiency of the local transportation sector. The objective of the study was to analyze the reduction of carbon footprint and improvement of energy efficiency along with the costs associated of EVs in conjunction with RSGH with respect to conventional Internal Combustion Engine Vehicles (ICEVs). The paper presents an optimum strategy of selecting the capacity of the RSGH needed for different household loads and the average monthly driving distances that will optimize the carbon footprint reduction.
Abstract published and presented at 19th International Forestry and Environment Symposium 2014 (ISSN 2235-9397); 25th October 2014.
Authors: Akbo Rupasinghe and Amila Wickramasinghe
This paper proposes a mathematical model to project and analyse the demand and
supply patterns of the Sri Lankan power system, in an economic and optimal operation perspective
using optimization techniques. The model is implemented on a spreadsheet. It is based on the merit
order economic dispatch of power plants, possible hydrological conditions and the daily load profile. The comparative fuel costs of thermal power plants, historical rainfall data and the daily load profile of a representative day is taken as inputs. The future demand and power plant investment projections are made based on the Long Term Generation Expansion Plan of the Ceylon Electricity Board. The use of the daily load profile is a complementary approach to the purpose of this model to support the approach of WASP software which is based on the annual load duration curve. This alternative approach’s advantages such as the ability to visualize and analyse daily cycling patterns of each power plant and ability to calculate the system running cost for different hydrological conditions are discussed. The model is also customizable for different planning scenarios. Examples of such custom applications of the model are also presented.
Authors: R.M.D.D.B. Rasnayake, D.S.P. Edirisinghe, C.L Fernando, K.H.A Kaushalya and K.S Buddhasiri
This study was conducted in order to compare tariffs paid to Small Power Producers (SPPs) of different countries, and to assess Sri Lanka’s tariffs for renewable energy against prices paid in other countries. The study was extended by updating the previous country summaries, while including new countries to the database.
Authors: Ruwan Rathnasinghe and Darshani Ariyawansha
The report propose a tariff methodology for the reactive power in Sri Lanka. The practices in foreign countries, status of reactive power consumption in Sri Lanka and financial evaluation of reactive power compensation are presented. Based on the analysis conclusions and recommendations were made.
Download: A Tariff for Reactive Power in Sri Lanka