The Experts below are selected from a list of 20823 Experts worldwide ranked by ideXlab platform
John Foster - One of the best experts on this subject based on the ideXlab platform.
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rural electrification in india galilee basin Coal versus decentralised renewable energy micro grids
Renewable Energy, 2016Co-Authors: Lynette Molyneaux, Liam Wagner, John FosterAbstract:The state of Bihar in India has approximately 75 million people with no access to electricity. The government of India has pursued a policy of rural electrification through the provision of centralised Coal-fired power which has been unable to resolve the low levels of electrification. Coal Supply woes in India have led Indian companies to pursue new Coal mines in Australia's Galilee Basin. The costs of these mining ventures will be high due to the mining infrastructure required and long transport distances to rural India. A high level analysis of mining, transport and power station investment to meet rural demand in Bihar shows that the absolute investment requirement using Coal, especially Coal sourced from Australia, as an expensive option. Pursuing electrification through village level, renewable energy micro-systems provides more flexibility. Pollution costs associated with Coal-fired generation, employment benefits associated with many village implementations and a rural load unsupported by industry load, show a benefit associated with decentralised, renewable energy electrification.
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rural electrification in india galilee basin Coal versus decentralised renewable energy micro grids
MPRA Paper, 2015Co-Authors: Lynette Molyneaux, Liam Wagner, John FosterAbstract:The state of Bihar in India has approximately 75 million people with no access to electricity. The government of India has pursued a policy of rural electrification through the provision of centralised Coal-fired power which has been unable to resolve the low levels of electrification. Coal Supply woes in India have led Indian companies to pursue new Coal mines in Australia’s Galilee Basin. The costs of these mining ventures will be high due to the mining infrastructure required and long transport distances to rural India. A high level analysis of mining, transport and power station investment to meet rural demand in Bihar shows that the absolute investment requirement using Coal, especially Coal sourced from Australia, as an expensive option. Pursuing electrification through village level, renewable energy micro-systems requires lower financing and provides more flexibility. Pollution costs associated with Coal-fired generation, employment benefits associated with many village implementations and a rural load unsupported by industry load, show the benefit associated with decentralised, renewable energy electrification.
Lynette Molyneaux - One of the best experts on this subject based on the ideXlab platform.
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rural electrification in india galilee basin Coal versus decentralised renewable energy micro grids
Renewable Energy, 2016Co-Authors: Lynette Molyneaux, Liam Wagner, John FosterAbstract:The state of Bihar in India has approximately 75 million people with no access to electricity. The government of India has pursued a policy of rural electrification through the provision of centralised Coal-fired power which has been unable to resolve the low levels of electrification. Coal Supply woes in India have led Indian companies to pursue new Coal mines in Australia's Galilee Basin. The costs of these mining ventures will be high due to the mining infrastructure required and long transport distances to rural India. A high level analysis of mining, transport and power station investment to meet rural demand in Bihar shows that the absolute investment requirement using Coal, especially Coal sourced from Australia, as an expensive option. Pursuing electrification through village level, renewable energy micro-systems provides more flexibility. Pollution costs associated with Coal-fired generation, employment benefits associated with many village implementations and a rural load unsupported by industry load, show a benefit associated with decentralised, renewable energy electrification.
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rural electrification in india galilee basin Coal versus decentralised renewable energy micro grids
MPRA Paper, 2015Co-Authors: Lynette Molyneaux, Liam Wagner, John FosterAbstract:The state of Bihar in India has approximately 75 million people with no access to electricity. The government of India has pursued a policy of rural electrification through the provision of centralised Coal-fired power which has been unable to resolve the low levels of electrification. Coal Supply woes in India have led Indian companies to pursue new Coal mines in Australia’s Galilee Basin. The costs of these mining ventures will be high due to the mining infrastructure required and long transport distances to rural India. A high level analysis of mining, transport and power station investment to meet rural demand in Bihar shows that the absolute investment requirement using Coal, especially Coal sourced from Australia, as an expensive option. Pursuing electrification through village level, renewable energy micro-systems requires lower financing and provides more flexibility. Pollution costs associated with Coal-fired generation, employment benefits associated with many village implementations and a rural load unsupported by industry load, show the benefit associated with decentralised, renewable energy electrification.
Roman Mendelevitch - One of the best experts on this subject based on the ideXlab platform.
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testing Supply side climate policies for the global steam Coal market can they curb Coal consumption
Climatic Change, 2018Co-Authors: Roman MendelevitchAbstract:The achieved international consensus on the 1.5–2 °C target entails that most of current fossil fuel reserves must remain unburned. A major contribution has to come from Coal as both the most abundant and the most emission-intensive fuel. Currently, a majority of climate policies aiming at reducing Coal consumption are directed towards the demand side. In the absence of a global carbon-pricing regime, these policies are prone to carbon leakage and other adverse effects. Supply-side climate policies present an alternative and increasingly discussed approach to reduce the consumption of fossil fuels. In this article, I employ a numerical model of the international steam Coal market to examine two Supply-side policies that are currently discussed in academic literature and by policy-makers, alike: (1) a production subsidy reform introduced in major Coal-producing countries and (2) a globally implemented moratorium on new Coal mines. The model simulates global patterns of Coal Supply, demand, and international trade, with endogenous investment in Coal production and transportation capacities. I find that mere production subsidy removal, while associated with a small positive total welfare effect, leads to a minor reduction of global emissions. By contrast, a mine moratorium induces a much more pronounced reduction in global Coal consumption by effectively limiting Coal availability and strongly increasing prices. Depending on the specification of reserves, the moratorium can induce a Coal consumption path consistent with the 1.5–2 °C target.
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testing Supply side climate policies for the global steam Coal market can they curb Coal consumption
Research Papers in Economics, 2016Co-Authors: Roman MendelevitchAbstract:The achieved international consensus on the 1.5‐2°C target entails that most of current fossil fuel reserves must remain unburned. Currently, a majority of climate policies aiming at this goal are directed towards the demand side. In the absence of a global carbon regime these polices are prone to carbon leakage and other adverse effects. Supply‐side climate policies present an alternative and more direct approach to reduce the consumption of fossil fuels by addressing their production. Here, Coal as both, the most abundant and the most emission-intensive fuel, plays a pivotal role. In this paper, I employ a numerical model of the international steam Coal market (CoalMOD‐World) to examine two alternative Supply‐side policies: 1) a production subsidy reform introduced in major Coal producing countries, in line with the G20 initiative to reduce global fossil fuel subsidies; 2) a globally implemented moratorium on new Coal mines. The model is designed to replicate global patterns of Coal Supply, demand and international trade. It features endogenous investments in production and transportation capacities in a multi‐period framework and allows for substitution between imports and domestic production of steam Coal. Hence, short‐run adjustments (e.g. import substitution effects) and long‐run reactions (e.g. capacity expansions) of exporting and importing countries are endogenously determined. Results show that a subsidy removal, while associated with a small positive total welfare effect, only leads to an insignificant reduction of global emissions. By contrast, a mine moratorium induces a much more pronounced reduction in global Coal consumption by effectively limiting Coal availability and strongly increasing prices. Depending on the specification of reserves, the moratorium can achieve a Coal consumption path consistent with the 1.5‐2°C target.
Jayendran Venkateswaran - One of the best experts on this subject based on the ideXlab platform.
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a resource constrained scheduling problem with multiple independent producers and a single linking constraint a Coal Supply chain example
European Journal of Operational Research, 2014Co-Authors: Anu Thomas, Jayendran Venkateswaran, Gaurav Singh, Mohan KrishnamoorthyAbstract:This paper examines a resource constrained production planning and scheduling problem motivated by the Coal Supply chain. In this problem, multiple independent producers are connected with a resource availability (or, linking) constraint. A general description of such problems is provided, before decomposing the problem into two levels. In the first level, we deal with production planning and in the second level, we deal with tactical resource scheduling. A real-world Coal Supply chain example is presented to anchor the approach. The overall problem can be formulated as an integrated mixed integer programming model which, in several cases, struggles to find even a feasible solution in reasonable amount of time. This paper discusses a distributed decision making approach based on column generation (CG). Computational experiments show that, the CG scheme has significant advantages over the integrated model and a Lagrangian relaxation scheme proposed by Thomas et al. (2013). This paper concludes with detailed discussions on the results and future research directions.
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Distributed optimisation method for multi-resource constrained scheduling in Coal Supply chains
International Journal of Production Research, 2013Co-Authors: Anu Thomas, Gaurav Singh, Mohan Krishnamoorthy, Jayendran VenkateswaranAbstract:We consider an integrated planning and scheduling problem motivated by the Coal Supply chains in Australia. The problem considers production planning of several independent mines. The mines need trains to complete delivery of Coal by the arrival of ships at the terminal. The trains, on the other hand, are in limited Supply and therefore the mines need to share this common resource. For this problem, we present a mixed integer programming formulation which minimises total weighted earliness, tardiness and operational costs. We also present a distributed algorithm based on the Lagrangian relaxation, which incorporates the volume and Wedelin algorithms. The strength of our distributed algorithm is demonstrated by an extensive computational experiment on several randomly generated instances.
Mohan Krishnamoorthy - One of the best experts on this subject based on the ideXlab platform.
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a resource constrained scheduling problem with multiple independent producers and a single linking constraint a Coal Supply chain example
European Journal of Operational Research, 2014Co-Authors: Anu Thomas, Jayendran Venkateswaran, Gaurav Singh, Mohan KrishnamoorthyAbstract:This paper examines a resource constrained production planning and scheduling problem motivated by the Coal Supply chain. In this problem, multiple independent producers are connected with a resource availability (or, linking) constraint. A general description of such problems is provided, before decomposing the problem into two levels. In the first level, we deal with production planning and in the second level, we deal with tactical resource scheduling. A real-world Coal Supply chain example is presented to anchor the approach. The overall problem can be formulated as an integrated mixed integer programming model which, in several cases, struggles to find even a feasible solution in reasonable amount of time. This paper discusses a distributed decision making approach based on column generation (CG). Computational experiments show that, the CG scheme has significant advantages over the integrated model and a Lagrangian relaxation scheme proposed by Thomas et al. (2013). This paper concludes with detailed discussions on the results and future research directions.
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Distributed optimisation method for multi-resource constrained scheduling in Coal Supply chains
International Journal of Production Research, 2013Co-Authors: Anu Thomas, Gaurav Singh, Mohan Krishnamoorthy, Jayendran VenkateswaranAbstract:We consider an integrated planning and scheduling problem motivated by the Coal Supply chains in Australia. The problem considers production planning of several independent mines. The mines need trains to complete delivery of Coal by the arrival of ships at the terminal. The trains, on the other hand, are in limited Supply and therefore the mines need to share this common resource. For this problem, we present a mixed integer programming formulation which minimises total weighted earliness, tardiness and operational costs. We also present a distributed algorithm based on the Lagrangian relaxation, which incorporates the volume and Wedelin algorithms. The strength of our distributed algorithm is demonstrated by an extensive computational experiment on several randomly generated instances.