The Experts below are selected from a list of 70818 Experts worldwide ranked by ideXlab platform

Joao P S Catalao - One of the best experts on this subject based on the ideXlab platform.

  • multiobjective ray optimization algorithm as a solution strategy for solving non convex problems a power generation scheduling case study
    International Journal of Electrical Power & Energy Systems, 2020
    Co-Authors: Amin Beirami, Vahid Vahidinasab, Miadreza Shafiekhah, Joao P S Catalao
    Abstract:

    Abstract Economic generation scheduling (EGS) is a non-convex optimization problem for allocating optimal generation among the committed units that can meet given real-world practical limits such as ramp rate limits, prohibited operating zones, valve loading effects, multi-fuel options, spinning reserve and transmission system losses at the minimum fuel cost. Moreover, considering environmental issues results in an environmental/economic generation scheduling (EEGS) problem that is a multiobjective optimization model with two non-commensurable and contradictory objectives. In this paper, a novel method has been presented in order to minimize production cost and Emission of the steam power plants in short term periods. The obtained results showed that the proposed method can be used in short-term decision making of steam power plants which will be absolutely effective in long-term Emission Target oriented strategies. A framework is proposed for solving single objective EGS and multiobjective EEGS problems considering the aforementioned constraints. The problem is solved by a new meta-heuristic optimization called Ray Optimization (RO) to determine the optimal power generation. The performance of the proposed algorithm is investigated by applying it to solve diverse test systems having non-convex solution spaces. Numerical results have been comprehensively compared with some of the most recently published research works in the area in order to validate the results and confirm the potential of the proposed approach. The obtained results show the application of the proposed framework and effectiveness of the solutions.

M T Iqbal - One of the best experts on this subject based on the ideXlab platform.

  • life cycle analysis of wind fuel cell integrated system
    Renewable Energy, 2005
    Co-Authors: Faisal Khan, Kelly Hawboldt, M T Iqbal
    Abstract:

    After ratification of the Kyoto Protocol, Canada’s Kyoto greenhouse gas (GHG) Emission Target is 571 Mt of CO2 equivalent emitted per year by 2010; however, if current Emission trends continue, a figure of 809 Mt is projected by 2010 (Cote C. Basic of clean development mechanism—joint implementation and overview of CDM project cycle, 2003 regional workshop on CDM-JI, February 2003, Halifax). This underscores the need for additional reduction of 240 Mt. The Federal Government Action Plan 2000 aims to reduce this gap from 240 to 65 Mt (Cote C. Basic of clean development mechanism—joint implementation and overview of CDM project cycle, 2003 regional workshop on CDM-JI, February 2003, Halifax). In order to accomplish this goal, renewable energy use in all sectors will be required, and this type of energy is particularly applicable in power generation. Traditional power generation is a major source of greenhouse gas (GHG) Emissions after industrial and transportation sectors (Environment Canada. Canada’s Greenhouse Gas Inventory 1990–1998. Final submission to the UNFCCC Secretariat, 2002 [Available from: http://www.ec.gc.ca/climate/resources_reportes-e.html]. Although wind energy, solar power and other forms of renewable energy are non-GHG emitting in their operation, there are GHG Emissions in their different stages of life cycle (i.e. material extraction, manufacturing, construction and transportation, etc.). These Emissions must be accounted for in order to assess accurately their capacity to reduce GHG Emission and meet Kyoto Targets. The current trend in electricity generation is towards integrated energy systems. One such proposed system is the wind–fuel cell integrated system for remote communities. This paper presents a detailed Life Cycle Analysis of the wind–fuel cell integrated system for application in Newfoundland and Labrador.

  • life cycle analysis of wind fuel cell integrated system
    Renewable Energy, 2005
    Co-Authors: Faisal Khan, Kelly Hawboldt, M T Iqbal
    Abstract:

    After ratification of the Kyoto Protocol, Canada’s Kyoto greenhouse gas (GHG) Emission Target is 571 Mt of CO2 equivalent emitted per year by 2010; however, if current Emission trends continue, a figure of 809 Mt is projected by 2010 (Cote C. Basic of clean development mechanism—joint implementation and overview of CDM project cycle, 2003 regional workshop on CDM-JI, February 2003, Halifax). This underscores the need for additional reduction of 240 Mt. The Federal Government Action Plan 2000 aims to reduce this gap from 240 to 65 Mt (Cote C. Basic of clean development mechanism—joint implementation and overview of CDM project cycle, 2003 regional workshop on CDM-JI, February 2003, Halifax). In order to accomplish this goal, renewable energy use in all sectors will be required, and this type of energy is particularly applicable in power generation. Traditional power generation is a major source of greenhouse gas (GHG) Emissions after industrial and transportation sectors (Environment Canada. Canada’s Greenhouse Gas Inventory 1990–1998. Final submission to the UNFCCC Secretariat, 2002 [Available from: http://www.ec.gc.ca/climate/resources_reportes-e.html]. Although wind energy, solar power and other forms of renewable energy are non-GHG emitting in their operation, there are GHG Emissions in their different stages of life cycle (i.e. material extraction, manufacturing, construction and transportation, etc.). These Emissions must be accounted for in order to assess accurately their capacity to reduce GHG Emission and meet Kyoto Targets. The current trend in electricity generation is towards integrated energy systems. One such proposed system is the wind–fuel cell integrated system for remote communities. This paper presents a detailed Life Cycle Analysis of the wind–fuel cell integrated system for application in Newfoundland and Labrador. The study confirms that wind–fuel integrated system is a zero Emission system while in operation. There are significant Emissions of GHGs during the production of the various components (wind turbine, fuel cell and electrolyzer). However, the global warming potential (GWP) of wind-integrated system is far lower (at least by two orders of magnitude) than the conventional diesel system, presently used in remote communities.

Amin Beirami - One of the best experts on this subject based on the ideXlab platform.

  • multiobjective ray optimization algorithm as a solution strategy for solving non convex problems a power generation scheduling case study
    International Journal of Electrical Power & Energy Systems, 2020
    Co-Authors: Amin Beirami, Vahid Vahidinasab, Miadreza Shafiekhah, Joao P S Catalao
    Abstract:

    Abstract Economic generation scheduling (EGS) is a non-convex optimization problem for allocating optimal generation among the committed units that can meet given real-world practical limits such as ramp rate limits, prohibited operating zones, valve loading effects, multi-fuel options, spinning reserve and transmission system losses at the minimum fuel cost. Moreover, considering environmental issues results in an environmental/economic generation scheduling (EEGS) problem that is a multiobjective optimization model with two non-commensurable and contradictory objectives. In this paper, a novel method has been presented in order to minimize production cost and Emission of the steam power plants in short term periods. The obtained results showed that the proposed method can be used in short-term decision making of steam power plants which will be absolutely effective in long-term Emission Target oriented strategies. A framework is proposed for solving single objective EGS and multiobjective EEGS problems considering the aforementioned constraints. The problem is solved by a new meta-heuristic optimization called Ray Optimization (RO) to determine the optimal power generation. The performance of the proposed algorithm is investigated by applying it to solve diverse test systems having non-convex solution spaces. Numerical results have been comprehensively compared with some of the most recently published research works in the area in order to validate the results and confirm the potential of the proposed approach. The obtained results show the application of the proposed framework and effectiveness of the solutions.

Faisal Khan - One of the best experts on this subject based on the ideXlab platform.

  • life cycle analysis of wind fuel cell integrated system
    Renewable Energy, 2005
    Co-Authors: Faisal Khan, Kelly Hawboldt, M T Iqbal
    Abstract:

    After ratification of the Kyoto Protocol, Canada’s Kyoto greenhouse gas (GHG) Emission Target is 571 Mt of CO2 equivalent emitted per year by 2010; however, if current Emission trends continue, a figure of 809 Mt is projected by 2010 (Cote C. Basic of clean development mechanism—joint implementation and overview of CDM project cycle, 2003 regional workshop on CDM-JI, February 2003, Halifax). This underscores the need for additional reduction of 240 Mt. The Federal Government Action Plan 2000 aims to reduce this gap from 240 to 65 Mt (Cote C. Basic of clean development mechanism—joint implementation and overview of CDM project cycle, 2003 regional workshop on CDM-JI, February 2003, Halifax). In order to accomplish this goal, renewable energy use in all sectors will be required, and this type of energy is particularly applicable in power generation. Traditional power generation is a major source of greenhouse gas (GHG) Emissions after industrial and transportation sectors (Environment Canada. Canada’s Greenhouse Gas Inventory 1990–1998. Final submission to the UNFCCC Secretariat, 2002 [Available from: http://www.ec.gc.ca/climate/resources_reportes-e.html]. Although wind energy, solar power and other forms of renewable energy are non-GHG emitting in their operation, there are GHG Emissions in their different stages of life cycle (i.e. material extraction, manufacturing, construction and transportation, etc.). These Emissions must be accounted for in order to assess accurately their capacity to reduce GHG Emission and meet Kyoto Targets. The current trend in electricity generation is towards integrated energy systems. One such proposed system is the wind–fuel cell integrated system for remote communities. This paper presents a detailed Life Cycle Analysis of the wind–fuel cell integrated system for application in Newfoundland and Labrador.

  • life cycle analysis of wind fuel cell integrated system
    Renewable Energy, 2005
    Co-Authors: Faisal Khan, Kelly Hawboldt, M T Iqbal
    Abstract:

    After ratification of the Kyoto Protocol, Canada’s Kyoto greenhouse gas (GHG) Emission Target is 571 Mt of CO2 equivalent emitted per year by 2010; however, if current Emission trends continue, a figure of 809 Mt is projected by 2010 (Cote C. Basic of clean development mechanism—joint implementation and overview of CDM project cycle, 2003 regional workshop on CDM-JI, February 2003, Halifax). This underscores the need for additional reduction of 240 Mt. The Federal Government Action Plan 2000 aims to reduce this gap from 240 to 65 Mt (Cote C. Basic of clean development mechanism—joint implementation and overview of CDM project cycle, 2003 regional workshop on CDM-JI, February 2003, Halifax). In order to accomplish this goal, renewable energy use in all sectors will be required, and this type of energy is particularly applicable in power generation. Traditional power generation is a major source of greenhouse gas (GHG) Emissions after industrial and transportation sectors (Environment Canada. Canada’s Greenhouse Gas Inventory 1990–1998. Final submission to the UNFCCC Secretariat, 2002 [Available from: http://www.ec.gc.ca/climate/resources_reportes-e.html]. Although wind energy, solar power and other forms of renewable energy are non-GHG emitting in their operation, there are GHG Emissions in their different stages of life cycle (i.e. material extraction, manufacturing, construction and transportation, etc.). These Emissions must be accounted for in order to assess accurately their capacity to reduce GHG Emission and meet Kyoto Targets. The current trend in electricity generation is towards integrated energy systems. One such proposed system is the wind–fuel cell integrated system for remote communities. This paper presents a detailed Life Cycle Analysis of the wind–fuel cell integrated system for application in Newfoundland and Labrador. The study confirms that wind–fuel integrated system is a zero Emission system while in operation. There are significant Emissions of GHGs during the production of the various components (wind turbine, fuel cell and electrolyzer). However, the global warming potential (GWP) of wind-integrated system is far lower (at least by two orders of magnitude) than the conventional diesel system, presently used in remote communities.

Zarina Ab Muis - One of the best experts on this subject based on the ideXlab platform.

  • carbon Emission pinch analysis an application to transportation sector in iskandar malaysia 2025
    Clean Technologies and Environmental Policy, 2019
    Co-Authors: Ahmad Fakrul Ramli, Zarina Ab Muis
    Abstract:

    The energy sector has grown significantly over the years, causing an increase in carbon Emission that has led to serious global warming problems. Consequently, electric vehicles (EVs) have become a favourable solution in the transportation sector due to their green technology attributes. This paper aims to apply the Carbon Emission Pinch Analysis (CEPA) method to the transportation sector in Iskandar Malaysia. The modified CEPA method is applied by constructing a composite curve for transportation modes and the total carbon Emission was plotted in order to study the minimum electricity requirement that needs to be generated to implement the use of EVs. Road and rail transportation were considered in the transport composite curve based on the current policies available and to achieve the new carbon Emission Target by the year 2025. The alternatives available to reduce carbon Emission in Iskandar Malaysia include increasing public transport modal share; fuel switching from petrol and diesel to natural gas and biofuels; and increasing transport efficiency via plug-in hybrid and EVs. Four scenarios were established and evaluated based on economic and environmental aspects. As a result, Scenario 4 which considered all policies available (transport management, fuel switching and fuel efficiency) have showed the most promising fuel mix for future transportation demands. An estimated total amount of 0.25 TJ of electricity is needed for EV implementation with a total estimated cost of RM 1.3 billion. The total carbon Emission for this scenario is 1101.96 kt-CO2. This research can benefit the Government, town planners, or policy makers, for preliminary energy planning.

  • optimal planning of renewable energy integrated electricity generation schemes with co2 reduction Target
    Renewable Energy, 2010
    Co-Authors: Zarina Ab Muis, Haslenda Hashim, Zainuddin Abdul Manan, Faridah Taha, P L Douglas
    Abstract:

    This paper presents a Mixed Integer Linear Programming (MILP) model that was developed for the optimal planning of electricity generation schemes for a nation to meet a specified CO2 Emission Target. The model was developed and implemented in General Algebraic Modeling System (GAMS) for the fleet of electricity generation in Peninsular Malaysia. In order to reduce the CO2 Emissions by 50% from current CO2 Emission level, the optimizer selected a scheme which includes Integrated Gasification Combined Cycle (IGCC), Natural Gas Combined Cycle (NGCC), nuclear and biomass from landfill gas and palm oil residues. It was predicted that Malaysia has potential to generate up to nine percent of electricity from renewable energy (RE) based on the available sources of RE in Malaysia.