76,104 research outputs found

    Optimization of Photovoltaic Self-consumption using Domestic Hot Water Systems

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    Electrified domestic hot water systems, being deferrable loads, are an important demand side management tool and thus have the potential to enhance photovoltaic self-consumption. This study addresses the energy and economic performance of photovoltaic self-consumption by using a typical Portuguese dwelling. Five system configurations were simulated: a gas boiler (with/without battery) and an electric boiler (without demand management and with genetic and heuristic optimization). A sensitivity analysis on photovoltaic capacity shows the optimum photovoltaic sizing to be in the range 1.0 to 2.5 kWp. The gas boiler scenario and the heuristic scenario present the best levelized cost of energy, respectively, for the lower and higher photovoltaic capacities. The use of a battery shows the highest levelized cost of energy and the heuristic scenario shows the highest solar fraction (56.9%). Results also highlight the great potential on increasing photovoltaic size when coupled with electrified domestic hot water systems, to accommodate higher solar fractions and achieve lower costs, through energy management

    Linear programming control of a group of heat pumps

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    For a new district in the Dutch city Meppel, a hybrid energy concept is developed based on bio-gas co-generation. The generated electricity is used to power domestic heat pumps which supply thermal energy for domestic hot water and space heating demand of households. In this paper, we investigate direct control of the heat pumps by the utility and how the large-scale optimization problem that is created can be reduced significantly. Two different linear programming control methods (global MILP and time scale MILP) are presented. The latter solves large-scale optimization problems in considerably less computational time. For simulation purposes, data of household thermal demand is obtained from prediction models developed for this research. The control methods are compared with a reference control method resembling PI on/off control of each heat pump. The reference control results in a dynamic electricity consumption with many peak loads on the network, which indicates a high level of simultaneous running heat pumps at those times. Both methods of mix integer linear programming (MILP) control of the heat pumps lead to a much improved, almost flat electricity consumption profile. Both optimization control methods are equally able to minimize the maximum peak consumption of electric power by the heat pumps, but the time scale MILP method requires much less computational effort. Future work is dedicated on further development of optimized control of the heat pumps and the central CHP

    Implementación de la Norma ISO 50001 para ahorros sostenibles energéticos y económicos en el sector industrial

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    Given the growth in energy demand, the limited energy resources, and the high environmental impact of energy generation from fossil fuels, it is vital to find methods to obtain save energy costs in different sectors, such as residential, industrial, transportation sector, and domestic. This paper presents a methodology that allows the implementation of an energy management system following the guidelines of the ISO 50001 standard. A gap analysis was performed to determine the position of the organization with respect to the requirements of the standard, and the next step was the inspection of the plant to find opportunities for improvement that would lead to energy optimization. From the results, six equipment was the cause of the 82% of the energy consumption in the production process, and some recommendation was proposed with the aim to optimize energy consumption. A methodology is proposed for the standard implementation, which can be implemented by different organizations from different fields to achieve savings in energy costs in the plant. Some relevant actions to improve the energy performance of the plant were proposed, such as the optimization of the compressed air system, the reduction of potential numbers of leakage, and the reduction of the working pressure of the system

    Implementación de la Norma ISO 50001 para ahorros sostenibles energéticos y económicos en el sector industrial

    Get PDF
    Given the growth in energy demand, the limited energy resources, and the high environmental impact of energy generation from fossil fuels, it is vital to find methods to obtain save energy costs in different sectors, such as residential, industrial, transportation sector, and domestic. This paper presents a methodology that allows the implementation of an energy management system following the guidelines of the ISO 50001 standard. A gap analysis was performed to determine the position of the organization with respect to the requirements of the standard, and the next step was the inspection of the plant to find opportunities for improvement that would lead to energy optimization. From the results, six equipment was the cause of the 82% of the energy consumption in the production process, and some recommendation was proposed with the aim to optimize energy consumption. A methodology is proposed for the standard implementation, which can be implemented by different organizations from different fields to achieve savings in energy costs in the plant. Some relevant actions to improve the energy performance of the plant were proposed, such as the optimization of the compressed air system, the reduction of potential numbers of leakage, and the reduction of the working pressure of the system

    Implementación de la Norma ISO 50001 para ahorros sostenibles energéticos y económicos en el sector industrial

    Get PDF
    Given the growth in energy demand, the limited energy resources, and the high environmental impact of energy generation from fossil fuels, it is vital to find methods to obtain save energy costs in different sectors, such as residential, industrial, transportation sector, and domestic. This paper presents a methodology that allows the implementation of an energy management system following the guidelines of the ISO 50001 standard. A gap analysis was performed to determine the position of the organization with respect to the requirements of the standard, and the next step was the inspection of the plant to find opportunities for improvement that would lead to energy optimization. From the results, six equipment was the cause of the 82% of the energy consumption in the production process, and some recommendation was proposed with the aim to optimize energy consumption. A methodology is proposed for the standard implementation, which can be implemented by different organizations from different fields to achieve savings in energy costs in the plant. Some relevant actions to improve the energy performance of the plant were proposed, such as the optimization of the compressed air system, the reduction of potential numbers of leakage, and the reduction of the working pressure of the system

    Steering the Smart Grid

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    Increasing energy prices and the greenhouse effect lead to more awareness of energy efficiency of electricity supply. During the last years, a lot of technologies and optimization methodologies were developed to increase the efficiency, maintain the grid stability and support large scale introduction of renewable sources. In previous work, we showed the effectiveness of our three-step methodology to reach these objectives, consisting of 1) offline prediction, 2) offline planning and 3) online scheduling in combination with MPC. In this paper we analyse the best structure for distributing the steering signals in the third step. Simulations show that pricing signals work as good as on/off signals, but pricing signals are more general. Individual pricing signals per house perform better with small prediction errors while one global steering signal for a group of houses performs better when the prediction errors are larger. The best hierarchical structure is to use consumption patterns on all levels except the lowest level and deduct the pricing signals in the lowest node of the tree

    Domestic energy management methodology for optimizing efficiency in Smart Grids

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    Increasing energy prices and the greenhouse effect lead to more awareness of energy efficiency of electricity supply. During the last years, a lot of domestic technologies have been developed to improve this efficiency. These technologies on their own already improve the efficiency, but more can be gained by a combined management. Multiple optimization objectives can be used to improve the efficiency, from peak shaving and Virtual Power Plant (VPP) to adapting to fluctuating generation of wind turbines. In this paper a generic management methology is proposed applicable for most domestic technologies, scenarios and optimization objectives. Both local scale optimization objectives (a single house) and global scale optimization objectives (multiple houses) can be used. Simulations of different scenarios show that both local and global objectives can be reached

    Efficient ICT for efficient smart grids

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    In this extended abstract the need for efficient and reliable ICT is discussed. Efficiency of ICT not only deals with energy-efficient ICT hardware, but also deals with efficient algorithms, efficient design methods, efficient networking infrastructures, etc. Efficient and reliable ICT is a prerequisite for efficient Smart Grids. Unfortunately, efficiency and reliability have not always received the proper attention in the ICT domain in the past
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