Predictive management of cogeneration-based energy supply networks using two-stage multi-objective optimization
| Autor: | Kento Sawada, Tetsuya Wakui, Hirohisa Aki, Ryohei Yokoyama |
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| Rok vydání: | 2018 |
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Mathematical optimization Computer science Energy management 020209 energy Mechanical Engineering 02 engineering and technology Building and Construction Pollution Multi-objective optimization Industrial and Manufacturing Engineering Cost reduction Cogeneration Model predictive control General Energy 020401 chemical engineering 0202 electrical engineering electronic engineering information engineering Energy supply 0204 chemical engineering Electrical and Electronic Engineering Operating cost Civil and Structural Engineering |
| Zdroj: | Energy. 162:1269-1286 |
| ISSN: | 0360-5442 |
| Popis: | A predictive management system for cogeneration unit-based energy supply networks using two-stage multi-objective optimization was developed to tackle a trade-off between energy savings and operating cost reduction. The developed system integrated support vector regression-based energy demand prediction, MILP (mixed-integer linear programming)-based schedule planning, and rule-based operation control. The contribution is to develop two-stage MILP-based multi-objective schedule planning, which is extension of an e-constraint method, and operation control rule of multiple cogeneration units. In the first-stage schedule planning, primary energy consumption in the prediction horizon is minimized, and a reduction rate of primary energy consumption is calculated. In the second-stage schedule planning, an operating cost is minimized additionally subject to satisfaction of partial achievement of the reduction rate of primary energy consumption calculated in the first stage. An energy-saving achievement rate is regarded as a decision-making parameter to control a trade-off between energy savings and cost reduction, of which definition is quantitatively apprehensible for decision makers. Annual operating simulation of an energy supply network using four fuel-cell-based cogeneration units revealed that the developed predictive management system has high controllability to the trade-off between the energy-saving rates (18.9%–21.6%) and the operating cost reduction rate (19.0%–15.6%), caused by a time-of-use power tariff structure. |
| Databáze: | OpenAIRE |
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